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ORCIDCoRR, October 2019
- Carl Yang, Yichen Feng, Pan Li, Yu Shi, Jiawei Han:
Meta-Graph Based HIN Spectral Embedding: Methods, Analyses, and Insights. - Carl Yang, Jieyu Zhang, Jiawei Han:
Neural Embedding Propagation on Heterogeneous Networks. - Ye Lyu, George Vosselman, Guisong Xia, Michael Ying Yang:
LIP: Learning Instance Propagation for Video Object Segmentation. - Aniruddha Saha, Akshayvarun Subramanya, Hamed Pirsiavash:
Hidden Trigger Backdoor Attacks. - Laltu Sardar, Sushmita Ruj:
FSPVDsse: A Forward Secure Publicly Verifiable Dynamic SSE scheme. - Parham Gohari, Bo Wu, Matthew T. Hale, Ufuk Topcu:
The Dirichlet Mechanism for Differential Privacy on the Unit Simplex. - Rohan Chandra, Uttaran Bhattacharya, Trisha Mittal, Xiaoyu Li, Aniket Bera, Dinesh Manocha:
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums. - Federico Fancellu, Sorcha Gilroy, Adam Lopez, Mirella Lapata:
Semantic Graph Parsing with Recurrent Neural Network DAG Grammars. - Jie Gao, Terrence Wong, Chun Wang, Jia Yuan Yu:
A Price-Based Iterative Double Auction for Charger Sharing Markets. - Giannis Karamanolakis, Daniel Hsu, Luis Gravano:
Weakly Supervised Attention Networks for Fine-Grained Opinion Mining and Public Health. - Sadegh M. Milajerdi, Birhanu Eshete, Rigel Gjomemo, V. N. Venkatakrishnan:
POIROT: Aligning Attack Behavior with Kernel Audit Records for Cyber Threat Hunting. - Goutham Ramakrishnan, Yun Chan Lee, Aws Albarghouthi:
Synthesizing Action Sequences for Modifying Model Decisions. - Po-Yao Huang, Xiaojun Chang
, Alexander G. Hauptmann:
Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations. - Georgi Nalbantov, Svetoslav Ivanov:
Tutorial on Implied Posterior Probability for SVMs. - Daniel T. Larsson, Dipankar Maity, Panagiotis Tsiotras:
Q-Search Trees: An Information-Theoretic Approach Towards Hierarchical Abstractions for Agents with Computational Limitations. - Shawkat Sabah Khairullah:
A Self-Healing Hardware Architecture for Safety-Critical Digital Embedded Devices. - Jekaterina Novikova, Aparna Balagopalan, Ksenia Shkaruta, Frank Rudzicz:
Lexical Features Are More Vulnerable, Syntactic Features Have More Predictive Power. - Aniruddha Saha, Akshayvarun Subramanya, Koninika Patil, Hamed Pirsiavash:
Adversarial Patches Exploiting Contextual Reasoning in Object Detection. - Jehandad Khan, Paul Fultz, Artem Tamazov, Daniel Lowell, Chao Liu, Michael Melesse, Murali Nandhimandalam, Kamil Nasyrov, Ilya Perminov, Tejash Shah, Vasilii Filippov, Jing Zhang, Jing Zhou, Bragadeesh Natarajan, Mayank Daga:
MIOpen: An Open Source Library For Deep Learning Primitives. - Nitant Upasani, Krishnendra Shekhawat, Garv Sachdeva:
Automated Generation of Dimensioned Rectangular Floorplans. - Gengchen Mai, Krzysztof Janowicz, Bo Yan, Rui Zhu, Ling Cai, Ni Lao:
Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs. - Hailiang Liu, Peimeng Yin:
A mixed discontinuous Galerkin method without interior penalty for time-dependent fourth order problems. - Longsheng Jiang, Yue Wang:
Respect Your Emotion: Human-Multi-Robot Teaming based on Regret Decision Model. - Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. - Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson:
Deep Coordination Graphs. - Jiayi Zhang, Emil Björnson, Michail Matthaiou, Derrick Wing Kwan Ng, Hong Yang, David J. Love:
Multiple Antenna Technologies for Beyond 5G. - Felix Grimminger, Avadesh Meduri, Majid Khadiv, Julian Viereck, Manuel Wüthrich, Maximilien Naveau, Vincent Berenz, Steve Heim, Felix Widmaier, Jonathan Fiene, Alexander Badri-Spröwitz, Ludovic Righetti:
An Open Torque-Controlled Modular Robot Architecture for Legged Locomotion Research. - Thomas Brihaye, Gilles Geeraerts, Marion Hallet, Benjamin Monmege, Bruno Quoitin:
Dynamics on Games: Simulation-Based Techniques and Applications to Routing. - Mir Muntasir Hossain, Satyendra N. Biswas:
Analysis and Design of a 32nm FinFET Dynamic Latch Comparator. - Wenhao Ding, Mengdi Xu, Ding Zhao:
CMTS: Conditional Multiple Trajectory Synthesizer for Generating Safety-critical Driving Scenarios. - Jiatong Li, Ricardo Guerrero, Vladimir Pavlovic:
Deep Cooking: Predicting Relative Food Ingredient Amounts from Images. - Maymoonah Toubeh, Pratap Tokekar:
Risk-Aware Planning by Confidence Estimation using Deep Learning-Based Perception. - Kuno Kim, Yihong Gu, Jiaming Song, Shengjia Zhao, Stefano Ermon:
Cross Domain Imitation Learning. - Joe T. Rexwinkle, Gregory Lieberman, Matthew Jaswa, Brent J. Lance:
Development of a Game with a Purpose for Acquisition of Brain-Computer Interface Data. - Tixian Wang, Amirhossein Taghvaei, Prashant G. Mehta:
Q-learning for POMDP: An application to learning locomotion gaits. - Zlatko Drmac, Benjamin Peherstorfer:
Learning low-dimensional dynamical-system models from noisy frequency-response data with Loewner rational interpolation. - Andrew J. Lohn:
Defense in Depth: The Basics of Blockade and Delay. - Yuanlu Xu, Song-Chun Zhu, Tony Tung:
DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. - Dimitri P. Bertsekas:
Multiagent Rollout Algorithms and Reinforcement Learning. - Christian Beck, Arnulf Jentzen, Benno Kuckuck:
Full error analysis for the training of deep neural networks. - Katarzyna Kozdon, Peter J. Bentley:
Normalisation of Weights and Firing Rates in Spiking Neural Networks with Spike-Timing-Dependent Plasticity. - Rasool Fakoor, Pratik Chaudhari, Stefano Soatto, Alexander J. Smola:
Meta-Q-Learning. - Max Bajracharya, James Borders, Daniel M. Helmick, Thomas Kollar, Michael Laskey, John Leichty, Jeremy Ma, Umashankar Nagarajan, Akiyoshi Ochiai, Josh Petersen, Krishna Shankar, Kevin Stone, Yutaka Takaoka:
A Mobile Manipulation System for One-Shot Teaching of Complex Tasks in Homes. - Toby Walsh:
SAT vs CSP: a commentary. - Jonathon Luiten, Tobias Fischer, Bastian Leibe:
Track to Reconstruct and Reconstruct to Track. - Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. - Johnathan Alsop, Matthew D. Sinclair, Srikant Bharadwaj, Alexandru Dutu, Anthony Gutierrez, Onur Kayiran, Michael LeBeane, Sooraj Puthoor, Xianwei Zhang, Tsung Tai Yeh, Bradford M. Beckmann:
Optimizing GPU Cache Policies for MI Workloads. - Ioannis Caragiannis, George Christodoulou, Nicos Protopapas:
Impartial Selection with Additive Approximation Guarantees. - Victor Bogdan, Cosmin Bonchis, Ciprian Orhei:
Custom Extended Sobel Filters. - Pooya Moradi, Nishant Kambhatla, Anoop Sarkar:
Interrogating the Explanatory Power of Attention in Neural Machine Translation. - Hailiang Liu, Wumaier Maimaitiyiming:
Positive and free energy satisfying schemes for diffusion with interaction potentials. - Xiwei Liu, Zihan Li:
Finite time anti-synchronization of complex-valued neural networks with bounded asynchronous time-varying delays. - Matteo Varvello, Iñigo Querejeta-Azurmendi, Antonio Nappa, Panagiotis Papadopoulos, Goncalo Pestana, Benjamin Livshits:
VPN0: A Privacy-Preserving Decentralized Virtual Private Network. - Ahmed Nasrallah, Venkatraman Balasubramanian, Akhilesh S. Thyagaturu, Martin Reisslein, Hesham Elbakoury:
Large Scale Deterministic Networking: A Simulation Evaluation. - Xiang Lisa Li, Jason Eisner:
Specializing Word Embeddings (for Parsing) by Information Bottleneck. - Siqi Pan, Rodrigo A. González, James S. Welsh, Cristian R. Rojas:
Consistency Analysis of the Simplified Refined Instrumental Variable Method for Continuous-time Systems. - Hailiang Liu, Peimeng Yin:
Unconditionally energy stable DG schemes for the Swift-Hohenberg equation. - Luke Merrick:
Randomized Ablation Feature Importance. - Xue Bin Peng, Aviral Kumar, Grace Zhang, Sergey Levine:
Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning. - Wenlei Bao, Li-Wen Chang, Yang Chen, Ke Deng, Amit Agarwal, Emad Barsoum, Abe Taha:
NGEMM: Optimizing GEMM for Deep Learning via Compiler-based Techniques. - Arman Karimian, Roberto Tron:
Bearing-Only Consensus and Formation Control under Directed Topologies. - Jiaming Guo, Wei Qiu, Xiang Li, Xuandong Zhao, Ning Guo, Quanzheng Li:
Predicting Alzheimer's Disease by Hierarchical Graph Convolution from Positron Emission Tomography Imaging. - Hudson Borges, Rodrigo Brito, Marco Túlio Valente:
Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions. - Kevin Hsieh, Amar Phanishayee, Onur Mutlu, Phillip B. Gibbons:
The Non-IID Data Quagmire of Decentralized Machine Learning. - Denis Newman-Griffis, Eric Fosler-Lussier:
Writing habits and telltale neighbors: analyzing clinical concept usage patterns with sublanguage embeddings. - Sam Ganzfried, Conner Laughlin, Charles Morefield:
Parallel Algorithm for Approximating Nash Equilibrium in Multiplayer Stochastic Games with Application to Naval Strategic Planning. - Christian Hadiwinoto, Hwee Tou Ng, Wee Chung Gan:
Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations. - Mingwei Wei, David J. Schwab:
How noise affects the Hessian spectrum in overparameterized neural networks. - Siavash Rezaei, Eli Bozorgzadeh, Kanghee Kim:
UltraShare: FPGA-based Dynamic Accelerator Sharing and Allocation. - Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen:
Underwhelming Generalization Improvements From Controlling Feature Attribution. - Yunhao Ba, Guangyuan Zhao, Achuta Kadambi:
Blending Diverse Physical Priors with Neural Networks. - Logan Lebanoff, John Muchovej, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Analyzing Sentence Fusion in Abstractive Summarization. - Ehsan Amid, Manfred K. Warmuth:
TriMap: Large-scale Dimensionality Reduction Using Triplets. - Ahmed M. Bedewy, Yin Sun, Rahul Singh, Ness B. Shroff:
Optimal Age-Energy Trade-off via Sleep-Wake Scheduling. - Hardik Meisheri, Vinita Baniwal, Nazneen N. Sultana, Balaraman Ravindran, Harshad Khadilkar:
Reinforcement Learning for Multi-Objective Optimization of Online Decisions in High-Dimensional Systems. - Jan Laukemann, Julian Hammer, Georg Hager, Gerhard Wellein:
Automatic Throughput and Critical Path Analysis of x86 and ARM Assembly Kernels. - Neri Merhav:
Noisy Guesses. - Akihiro Nakamura, Tatsuya Harada:
Revisiting Fine-tuning for Few-shot Learning. - Basilio Gentile, Dario Paccagnan, Bolutife Ogunsula, John Lygeros:
The Nash Equilibrium with Inertia in Population Games. - James Demmel, Laura Grigori, Alexander Rusciano:
An improved analysis and unified perspective on deterministic and randomized low rank matrix approximations. - Sam Ganzfried:
Mistakes in Games. - Leo Cazenille, Nicolas Bredèche, Nathanaël Aubert-Kato:
Exploring Self-Assembling Behaviors in a Swarm of Bio-micro-robots using Surrogate-Assisted MAP-Elites. - Irene Unceta, Diego Palacios, Jordi Nin, Oriol Pujol:
Sampling Unknown Decision Functions to Build Classifier Copies. - Krishnendu Chatterjee, Bhavya Choudhary, Andreas Pavlogiannis:
Optimal Dyck Reachability for Data-Dependence and Alias Analysis. - Weiyu Chen, Haiyang Ding, Shilian Wang, Daniel Benevides da Costa, Fengkui Gong:
Impartial SWIPT-Assisted User Cooperation Schemes. - Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph using Probability Models. - Hirofumi Inaguma, Kevin Duh, Tatsuya Kawahara, Shinji Watanabe:
Multilingual End-to-End Speech Translation. - Helge Spieker, Arnaud Gotlieb:
Adaptive Metamorphic Testing with Contextual Bandits. - Daniel Greenfeld, Uri Shalit:
Robust learning with the Hilbert-Schmidt independence criterion. - He Li, James J. Davis, John Wickerson, George A. Constantinides:
ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute. - Jeroen Van Hautte, Guy Emerson, Marek Rei:
Bad Form: Comparing Context-Based and Form-Based Few-Shot Learning in Distributional Semantic Models. - Matthias Bentert, René van Bevern, Till Fluschnik, André Nichterlein, Rolf Niedermeier:
Polynomial-Time Preprocessing for Weighted Problems Beyond Additive Goal Functions. - Richard Gerum:
pylustrator: Code generation for reproducible figures for publication. - Arslan Ashraf, Abdul Aziz, Umme Zahoora, Asifullah Khan:
Ransomware Analysis using Feature Engineering and Deep Neural Networks. - Attila Szabó, Givi Meishvili, Paolo Favaro:
Unsupervised Generative 3D Shape Learning from Natural Images. - Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. - Florian Schmidt:
Generalization in Generation: A closer look at Exposure Bias. - César Prouté, Bruno Yun, Madalina Croitoru:
Distance-Based Approaches to Repair Semantics in Ontology-based Data Access. - Yunsu Kim, Duc Thanh Tran, Hermann Ney:
When and Why is Document-level Context Useful in Neural Machine Translation? - Loris Nanni, Gianluca Maguolo, Fabio Pancino:
Research on insect pest image detection and recognition based on bio-inspired methods. - Sridhar Chellappa, Lihong Feng, Peter Benner:
An Adaptive Sampling Approach for the Reduced Basis Method. - Tommaso Zugno, Matteo Drago, Marco Giordani, Michele Polese, Michele Zorzi:
Towards Standardization of Millimeter Wave Vehicle-to-Vehicle Networks: Open Challenges and Performance Evaluation. - Felix Sauer, Matthias Niedermaier, Susanne Kießling, Dominik Merli:
LICSTER - A Low-cost ICS Security Testbed for Education and Research. - Fabian Frei, Edith Hemaspaandra, Jörg Rothe:
Complexity of Stability. - Thomas Bläsius, Tobias Friedrich, Martin Schirneck:
The Minimization of Random Hypergraphs. - Jakub Kowalski, Maksymilian Mika, Jakub Sutowicz, Marek Szykula:
A note on the empirical comparison of RBG and Ludii. - Carina Wiesen, Steffen Becker, Marc Fyrbiak, Nils Albartus, Malte Elson, Nikol Rummel, Christof Paar:
Teaching Hardware Reverse Engineering: Educational Guidelines and Practical Insights. - Yatin Chaudhary, Pankaj Gupta, Hinrich Schütze:
BioNLP-OST 2019 RDoC Tasks: Multi-grain Neural Relevance Ranking Using Topics and Attention Based Query-Document-Sentence Interactions. - Vasilios Mavroudis, Hayden Melton:
Libra: Fair Order-Matching for Electronic Financial Exchanges. - Carina Wiesen, Nils Albartus, Max Hoffmann, Steffen Becker, Sebastian Wallat, Marc Fyrbiak, Nikol Rummel, Christof Paar:
Towards Cognitive Obfuscation: Impeding Hardware Reverse Engineering Based on Psychological Insights. - Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum, Cordelia Schmid:
Graph convolutional networks for learning with few clean and many noisy labels. - Bowen Zhang, Benedetta Tondi, Mauro Barni:
Attacking CNN-based anti-spoofing face authentication in the physical domain. - S. Soroush Haj Zargarbashi, Bagher BabaAli:
A Multi-Modal Feature Embedding Approach to Diagnose Alzheimer Disease from Spoken Language. - Nicolas Bus, Ana Roxin, Guillaume Picinbono, Muhammad Fahad:
Towards French Smart Building Code: Compliance Checking Based on Semantic Rules. - Piotr Niewinski, Maria Pszona, Maria Janicka:
TMLab: Generative Enhanced Model (GEM) for adversarial attacks. - Bernd Kiefer, Anna Welker, Christophe Biwer:
VOnDA: A Framework for Ontology-Based Dialogue Management. - Dmytro Pavlichenko, Diego Rodriguez, Christian Lenz, Max Schwarz, Sven Behnke:
Autonomous Bimanual Functional Regrasping of Novel Object Class Instances. - Sebastian Wallat, Nils Albartus, Steffen Becker, Max Hoffmann, Maik Ender, Marc Fyrbiak, Adrian Drees, Sebastian Maaßen, Christof Paar:
Highway to HAL: Open-Sourcing the First Extendable Gate-Level Netlist Reverse Engineering Framework. - Moksh Jain, Sowmya Kamath S.:
Proximal Policy Optimization for Improved Convergence in IRGAN. - Jakub Náplava, Milan Straka:
Grammatical Error Correction in Low-Resource Scenarios. - Micah Goldblum, Jonas Geiping, Avi Schwarzschild, Michael Moeller, Tom Goldstein:
Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory. - Aidar Valeev, Ilshat Gibadullin, Albina Khusainova, Adil Khan:
Application of Low-resource Machine Translation Techniques to Russian-Tatar Language Pair. - Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Sub-Architecture Ensemble Pruning in Neural Architecture Search. - Ilshat Gibadullin, Aidar Valeev, Albina Khusainova, Adil Khan:
A Survey of Methods to Leverage Monolingual Data in Low-resource Neural Machine Translation. - Xiaoan Ding, Kevin Gimpel:
Latent-Variable Generative Models for Data-Efficient Text Classification. - Fei Wu, Thomas Michel, Alexandre Briot:
Leveraging Model Interpretability and Stability to increase Model Robustness. - Johannes Haupt, Daniel Jacob, Robin Marco Gubela, Stefan Lessmann:
Affordable Uplift: Supervised Randomization in Controlled Experiments. - David Isele, Alireza Nakhaei, Kikuo Fujimura:
Safe Reinforcement Learning on Autonomous Vehicles. - Guido Cantelmo, Moeid Qurashi, A. Arun Prakash, Constantinos Antoniou, Francesco Viti:
Incorporating Trip Chaining within Online Demand Estimation. - Juntang Zhuang, Nicha C. Dvornek, Xiaoxiao Li, Junlin Yang, James S. Duncan:
Decision Explanation and Feature Importance for Invertible Networks. - Jinyang Liu, Jieming Zhu, Shilin He, Pinjia He, Zibin Zheng, Michael R. Lyu:
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression. - Jiachun Liao, Chong Huang, Peter Kairouz, Lalitha Sankar:
Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints. - Eric Müller-Budack, Jonas Theiner, Robert Rein, Ralph Ewerth:
"Does 4-4-2 exist?" - An Analytics Approach to Understand and Classify Football Team Formations in Single Match Situations. - Mieczyslaw A. Klopotek:
A Note On k-Means Probabilistic Poverty. - Sahar Mohajerani, Yiding Ji, Stéphane Lafortune:
Compositional and Abstraction-Based Approach for Synthesis of Edit Functions for Opacity Enforcement. - Khanh Nguyen, Hal Daumé III:
Global Voices: Crossing Borders in Automatic News Summarization. - Mandar Gogate, Ahsan Adeel, Kia Dashtipour, Peter Derleth, Amir Hussain:
AV Speech Enhancement Challenge using a Real Noisy Corpus. - Siwen Wang, Arum Lee, Emil Alexov, Shan Zhao:
A regularization approach for solving Poisson's equation with singular charge sources and diffuse interfaces. - Jonathan Stokes, Steven Weber:
Star sampling with and without replacement. - Minki Song, Seunghwan Lee, Eunsang Lee, Dong-Joon Shin, Young-Sik Kim, Jong-Seon No:
Analysis of error dependencies on NewHope. - Jan Dreier, Janosch Fuchs, Tim A. Hartmann, Philipp Kuinke, Peter Rossmanith, Bjoern Tauer, Hung-Lung Wang:
The Complexity of Packing Edge-Disjoint Paths. - Siddharth, Mohan M. Trivedi:
On Assessing Driver Awareness of Situational Criticalities: Multi-modal Bio-sensing and Vision-based Analysis, Evaluations and Insights. - Ivan Yu. Tyukin, Alexander N. Gorban, Alistair A. McEwan, Sepehr Meshkinfamfard:
Blessing of dimensionality at the edge. - Balasubramaniam Srinivasan, Bruno Ribeiro:
On the Equivalence between Node Embeddings and Structural Graph Representations. - Di Jin, Shuyang Gao, Jiun-Yu Kao, Tagyoung Chung, Dilek Hakkani-Tür:
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension. - Yavuz Yapici, Ismail Güvenç, Huaiyu Dai:
Low-Resolution Limited-Feedback NOMA for mmWave Communications. - Ivan Donadello, Luciano Serafini:
Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation. - Angelo Sotgiu, Ambra Demontis, Marco Melis, Battista Biggio, Giorgio Fumera, Xiaoyi Feng, Fabio Roli:
Deep Neural Rejection against Adversarial Examples. - Paolo Santini, Massimo Battaglioni, Marco Baldi, Franco Chiaraluce:
A theoretical analysis of the error correction capability of LDPC and MDPC codes under parallel bit-flipping decoding. - Katerina Papaioannou, Martin Theobald, Michael H. Böhlen:
Lineage-Aware Temporal Windows: Supporting Set Operations in Temporal-Probabilistic Databases. - Özgür Akgün, András Z. Salamon:
Conjure Documentation, Release 2.3.0. - Amirhossein Tebbifakhr, Luisa Bentivogli, Matteo Negri, Marco Turchi:
Machine Translation for Machines: the Sentiment Classification Use Case. - Di Wang, Huanyu Zhang, Marco Gaboardi, Jinhui Xu:
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data. - Vladimir Vlasov, Johannes E. M. Mosig, Alan Nichol:
Dialogue Transformers. - Alane M. de Lima, Murilo V. G. da Silva, André Luís Vignatti:
Approximating the Percolation Centrality through Sampling and Pseudo-dimension. - Gökberk Koçak, Özgür Akgün, Tias Guns, Ian Miguel:
Towards Improving Solution Dominance with Incomparability Conditions: A case-study using Generator Itemset Mining. - Dmitry Bankov, Evgeny M. Khorov, Andrey I. Lyakhov, Sigurd Schelstraete:
Beacons in Dense Wi-Fi Networks: How to Befriend with Neighbors in the 5G World? - Abbas Acar, Long Lu, A. Selcuk Uluagac, Engin Kirda:
An Analysis of Malware Trends in Enterprise Networks. - Yang Zhang, Shiyu Chang, Mo Yu, Kaizhi Qian:
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack. - Alexis Duburcq, Yann Chevaleyre, Nicolas Bredèche, Guilhem Boéris:
Online Trajectory Planning Through Combined Trajectory Optimization and Function Approximation: Application to the Exoskeleton Atalante. - Bahman Mirheidari, Yilin Pan, Traci Walker, Markus Reuber, Annalena Venneri, Daniel Blackburn, Heidi Christensen:
Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt. - Marco Grassia, Juho Lauri, Sourav Dutta, Deepak Ajwani:
Learning Multi-Stage Sparsification for Maximum Clique Enumeration. - Anastassia Kornilova, Vlad Eidelman:
BillSum: A Corpus for Automatic Summarization of US Legislation. - Wei Zhang, Wei Li, Lei Han:
A Three-dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting. - Shruti Mishra, Abbas Abdolmaleki, Arthur Guez, Piotr Trochim, Doina Precup:
Augmenting learning using symmetry in a biologically-inspired domain. - Brandon Wagstaff, Valentin Peretroukhin, Jonathan Kelly:
Robust Data-Driven Zero-Velocity Detection for Foot-Mounted Inertial Navigation. - Nikos Salamanos, Michael J. Jensen, Xinlei He, Yang Chen, Michael Sirivianos:
On the Influence of Twitter Trolls during the 2016 US Presidential Election. - David Paulius, Yongqiang Huang, Jason Meloncon, Yu Sun:
Manipulation Motion Taxonomy and Coding for Robots. - Vaios Laschos, Jan Tinapp, Klaus Obermayer:
Training Generative Networks with general Optimal Transport distances. - Bowen Song, Ari Trachtenberg:
Scalable String Reconciliation by Recursive Content-Dependent Shingling. - Christian Fredrik Sætre, Anton S. Shiriaev, Stepan Pchelkin, Ahmed Chemori:
Excessive Transverse Coordinates for Orbital Stabilization of (Underactuated) Mechanical Systems. - Pier Luigi Dovesi, Matteo Poggi, Lorenzo Andraghetti, Miquel Martí, Hedvig Kjellström, Alessandro Pieropan, Stefano Mattoccia:
Real-Time Semantic Stereo Matching. - Heike Adel, Hinrich Schütze:
Type-aware Convolutional Neural Networks for Slot Filling. - S. Chandra Mouli, Leonardo Teixeira, Jennifer Neville, Bruno Ribeiro:
Deep Lifetime Clustering. - Lei Yu, Laurent Sartran, Wojciech Stokowiec, Wang Ling, Lingpeng Kong, Phil Blunsom, Chris Dyer:
Putting Machine Translation in Context with the Noisy Channel Model. - Andrew J. Taylor, Aaron D. Ames:
Adaptive Safety with Control Barrier Functions. - Ronan Fablet, Lucas Drumetz, François Rousseau:
End-to-end learning of energy-based representations for irregularly-sampled signals and images. - Felix Hill, Andrew K. Lampinen, Rosalia Schneider, Stephen Clark, Matthew M. Botvinick, James L. McClelland, Adam Santoro:
Emergent Systematic Generalization in a Situated Agent. - Cheng Peng, David Weikersdorfer:
Map as The Hidden Sensor: Fast Odometry-Based Global Localization. - Uri Alon, Roy Sadaka, Omer Levy, Eran Yahav:
Structural Language Models for Any-Code Generation. - Daiyaan Arfeen, Jesse Zhang:
Unsupervised Projection Networks for Generative Adversarial Networks. - Taotao Wang, Soung Chang Liew, Shengli Zhang:
PubChain: A Decentralized Open-Access Publication Platform with Participants Incentivized by Blockchain Technology. - Daniel Lokshtanov, Amer E. Mouawad, Fahad Panolan, Sebastian Siebertz:
On the Parameterized Complexity of Reconfiguration of Connected Dominating Sets. - Arpan Kusari:
CWAE-IRL: Formulating a supervised approach to Inverse Reinforcement Learning problem. - Alejandro Anderson, Agustina D'Jorge, Alejandro H. González, Antonio Ferramosca, Marcelo Actis:
MPC for tracking with maximum domain of attraction. - Yi-Lin Tuan, Yun-Nung Chen, Hung-yi Lee:
DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs. - Murugeswari Issakkimuthu, Alan Fern, Prasad Tadepalli:
The Choice Function Framework for Online Policy Improvement. - Maria Bauzá, Ferran Alet, Yen-Chen Lin, Tomás Lozano-Pérez, Leslie Pack Kaelbling, Phillip Isola, Alberto Rodriguez:
Omnipush: accurate, diverse, real-world dataset of pushing dynamics with RGB-D video. - John K. Golden, Daniel O'Malley:
Pre- and post-processing in quantum-computational hydrologic inverse analysis. - Athma Narayanan, Avinash Siravuru, Behzad Dariush:
Temporal Multimodal Fusion for Driver Behavior Prediction Tasks using Gated Recurrent Fusion Units. - Ján Komara, Paul J. Voda:
Extraction of Efficient Programs in IΣ1-arithmetic. - Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan:
Essentia: Mining Domain-Specific Paraphrases with Word-Alignment Graphs. - Jianyu Wang, Vinayak Tantia, Nicolas Ballas, Michael G. Rabbat:
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum. - Sarabjeet Singh, Manu Awasthi:
Memory Centric Characterization and Analysis of SPEC CPU2017 Suite. - Delia Bullock, Andrew Mangèni, Tyr Wiesner-Hanks, Chad DeChant, Ethan L. Stewart, Nicholas Kaczmar, Rebecca J. Nelson, Michael A. Gore, Hod Lipson:
Automated Grassy Weed Detection in Aerial Imagery with Context. - Aaron Griffith, Andrew Pomerance, Daniel J. Gauthier:
Forecasting Chaotic Systems with Very Low Connectivity Reservoir Computers. - Jonathan Chung, Thomas Delteil:
A Computationally Efficient Pipeline Approach to Full Page Offline Handwritten Text Recognition. - Andrew N. Carr, Jared Nielson, David Wingate:
Wasserstein Neural Processes. - Tobi Olatunji, Li Yao:
Learning to estimate label uncertainty for automatic radiology report parsing. - Mahmoud Abbasi:
NB-IoT Small Cell: A 3GPP Perspective. - Tianqi Zheng, John W. Simpson-Porco, Enrique Mallada:
Implicit Trajectory Planning for Feedback Linearizable Systems: A Time-varying Optimization Approach. - Bernd Pfrommer, Kostas Daniilidis:
TagSLAM: Robust SLAM with Fiducial Markers. - David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin:
An Iterative Quadratic Method for General-Sum Differential Games with Feedback Linearizable Dynamics. - Iretiayo Akinola, Zizhao Wang, Junyao Shi, Xiaomin He, Pawan Lapborisuth, Jingxi Xu, David Watkins-Valls, Paul Sajda, Peter K. Allen:
Accelerated Robot Learning via Human Brain Signals. - Xiaobin Xiong, Aaron D. Ames:
Orbit Characterization, Stabilization and Composition on 3D Underactuated Bipedal Walking via Hybrid Passive Linear Inverted Pendulum Model. - Xiaobin Xiong, Aaron D. Ames:
Motion Decoupling and Composition via Reduced Order Model Optimization for Dynamic Humanoid Walking with CLF-QP based Active Force Control. - Raunak Kumar, Paul Liu, Moses Charikar, Austin R. Benson:
Retrieving Top Weighted Triangles in Graphs. - Aayush K. Chaudhary, Rakshit Sunil Kothari, Manoj Acharya, Shusil Dangi, Nitinraj Nair, Reynold Bailey, Christopher Kanan, Gabriel J. Diaz, Jeff B. Pelz:
RITnet: Real-time Semantic Segmentation of the Eye for Gaze Tracking. - Marthe Bonamy, Michal Pilipczuk:
Graphs of bounded cliquewidth are polynomially χ-bounded. - Chaochao Yan, Sheng Wang, Jinyu Yang, Tingyang Xu, Junzhou Huang:
Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation. - Yugandhar Sarkale, Saeed Nozhati, Edwin K. P. Chong, Bruce R. Ellingwood:
Decision Automation for Electric Power Network Recovery. - Ali Mirzaeian, Houman Homayoun, Avesta Sasan:
NESTA: Hamming Weight Compression-Based Neural Proc. Engine. - Zizhao Zhang, Han Zhang, Sercan Ömer Arik, Honglak Lee, Tomas Pfister:
IEG: Robust Neural Network Training to Tackle Severe Label Noise. - Ling Cai, Bo Yan, Gengchen Mai, Krzysztof Janowicz, Rui Zhu:
TransGCN: Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction. - Zack Ellerby, Josie McCulloch, Melanie Wilson, Christian Wagner:
Exploring how Component Factors and their Uncertainty Affect Judgements of Risk in Cyber-Security. - Philippe Trempe:
Spherical k-Nearest Neighbors Interpolation. - Isaac Oscar Gariano, Marco Servetto:
Mμl: The Power of Dynamic Multi-Methods. - Tzu-Yuan Lin, William A. Clark, Ryan M. Eustice, Jessy W. Grizzle, Anthony M. Bloch, Maani Ghaffari Jadidi:
Adaptive Continuous Visual Odometry from RGB-D Images. - Clebeson Canuto dos Santos, Plinio Moreno, Jorge Leonid Aching Samatelo, Raquel Frizera Vassallo, José Santos-Victor:
Action Anticipation for Collaborative Environments: The Impact of Contextual Information and Uncertainty-Based Prediction. - Ryan Shivers, Mohammad Ashiqur Rahman, Hossain Shahriar:
Toward a Secure and Decentralized Blockchain-based Ride-Hailing Platform for Autonomous Vehicles. - Kyu Jeong Han, Ramon Prieto, Kaixing Wu, Tao Ma:
State-of-the-Art Speech Recognition Using Multi-Stream Self-Attention With Dilated 1D Convolutions. - Zheming Zhou, Xiaotong Chen, Odest Chadwicke Jenkins:
LIT: Light-field Inference of Transparency for Refractive Object Localization. - Souvik Kundu, Saurav Prakash, Haleh Akrami, Peter A. Beerel, Keith M. Chugg:
A Pre-defined Sparse Kernel Based Convolution for Deep CNNs. - Gaurav Mittal, Baoyuan Wang:
Animating Face using Disentangled Audio Representations. - Lakshya Jain, Wilson Wu, Steven Chen, Uyeong Jang, Varun Chandrasekaran, Sanjit A. Seshia, Somesh Jha:
Generating Semantic Adversarial Examples with Differentiable Rendering. - Supreeth Shastri, Vinay Banakar, Melissa Wasserman, Arun Kumar, Vijay Chidambaram:
Understanding and Benchmarking the Impact of GDPR on Database Systems. - Yifei Yuan, Yajun Zhao, Baiqing Zong, Sergio Parolari:
Potential Key Technologies for 6G Mobile Communications. - Sanaa Hamid Mohamed, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani:
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks. - Samaneh Ghandali, Daniel E. Holcomb, Christof Paar:
Temperature-Based Hardware Trojan For Ring-Oscillator-Based TRNGs. - Xuan Li, Yuchen Lu, Peng Xu, Jizong Peng, Christian Desrosiers, Xue Liu:
Boosting Image Recognition with Non-differentiable Constraints. - Samaneh Ghandali, Thorben Moos, Amir Moradi, Christof Paar:
Side-Channel Hardware Trojan for Provably-Secure SCA-Protected Implementations. - Gang Qiao, Honglu Zhou, Mubbasir Kapadia, Sejong Yoon, Vladimir Pavlovic:
Scenario Generalization of Data-driven Imitation Models in Crowd Simulation. - Harish Anand, Zhiang Chen, Jnaneshwar Das:
The OpenUAV Swarm Simulation Testbed: a Collaborative DesignStudio for Field Robotics. - Shresth Verma, Joydip Dhar:
Emergence of Writing Systems Through Multi-Agent Cooperation. - Gang Wang, Zhijie Jerry Shi, Mark Nixon, Song Han:
ChainSplitter: Towards Blockchain-based Industrial IoT Architecture for Supporting Hierarchical Storage. - David Rolnick, Konrad P. Körding:
Identifying Weights and Architectures of Unknown ReLU Networks. - Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. - Daniel Severo, Flávio Amaro, Estevam R. Hruschka Jr., André Soares de Moura Costa:
Ward2ICU: A Vital Signs Dataset of Inpatients from the General Ward. - Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn:
Joint Learning of Semantic Alignment and Object Landmark Detection. - Jun Wang, Leslie Greengard, Shidong Jiang, Shravan K. Veerapaneni:
Fast integral equation methods for linear and semilinear heat equations in moving domains. - Seyed Hadi Mirfarshbafan, Alexandra Gallyas-Sanhueza, Ramina Ghods, Christoph Studer:
Beamspace Channel Estimation for Massive MIMO mmWave Systems: Algorithm and VLSI Design. - Himel Dev, Karrie Karahalios, Hari Sundaram:
Quantifying Voter Biases in Online Platforms: An Instrumental Variable Approach. - Kouta Sekine, Mitsuhiro T. Nakao, Shin'ichi Oishi:
A new formulation for the numerical proof of the existence of solutions to elliptic problems. - Renjie Liao, Yujia Li, Yang Song, Shenlong Wang, Charlie Nash, William L. Hamilton, David Duvenaud, Raquel Urtasun, Richard S. Zemel:
Efficient Graph Generation with Graph Recurrent Attention Networks. - Steven Jens Jorgensen, Michael William Lanighan, Sylvain S. Bertrand, Andrew Watson, Joseph S. Altemus, R. Scott Askew, Lyndon B. Bridgwater, Beau Domingue, Charlie Kendrick, Jason Lee, Mark Paterson, Jairo Sanchez, Patrick Beeson, Seth Gee, Stephen Hart, Ana Huaman Quispe, Robert J. Griffin, Inho Lee, Stephen McCrory, Luis Sentis, Jerry E. Pratt, Joshua S. Mehling:
Deploying the NASA Valkyrie Humanoid for IED Response: An Initial Approach and Evaluation Summary. - Angela H. Jiang, Daniel L.-K. Wong, Giulio Zhou, David G. Andersen, Jeffrey Dean, Gregory R. Ganger, Gauri Joshi, Michael Kaminsky, Michael Kozuch, Zachary C. Lipton, Padmanabhan Pillai:
Accelerating Deep Learning by Focusing on the Biggest Losers. - Mohammad Javad Amiri, Divyakant Agrawal, Amr El Abbadi:
SharPer: Sharding Permissioned Blockchains Over Network Clusters. - Rohit Kumar Dubey, Samuel S. Sohn, Christoph Hoelscher, Mubbasir Kapadia:
Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures. - Zijian Zhang, Fan Yang, Haofan Wang, Xia Hu:
Contextual Local Explanation for Black Box Classifiers. - Gang Wang, Yanyuan Qin:
MAC Protocols for Wireless Mesh Networks with Multi-beam Antennas: A Survey. - Kyle Fox, Xinyi Li:
Approximating the Geometric Edit Distance. - Taesup Kim, Sungjin Ahn, Yoshua Bengio:
Variational Temporal Abstraction. - Michael Stephen Fiske:
Prime Clocks. - He Yin, Monimoy Bujarbaruah, Murat Arcak, Andrew K. Packard:
Optimization Based Planner Tracker Design for Safety Guarantees. - Muhammad Imran, Latif U. Khan, Ibrar Yaqoob, Ejaz Ahmed, Muhammad Ahsan Qureshi, Arif Ahmed:
Energy Harvesting in 5G Networks: Taxonomy, Requirements, Challenges, and Future Directions. - Hossein Esfandiari, Vahab S. Mirrokni, Peilin Zhong:
Streaming Balanced Clustering. - Mike Thelwall, Nabeil Maflahi:
Academic collaboration rates and citation associations vary substantially between countries and fields. - Grant Ho, Asaf Cidon, Lior Gavish, Marco Schweighauser, Vern Paxson, Stefan Savage, Geoffrey M. Voelker, David A. Wagner:
Detecting and Characterizing Lateral Phishing at Scale. - Andros Tjandra, Sakriani Sakti, Satoshi Nakamura:
Speech-to-speech Translation between Untranscribed Unknown Languages. - Hoang Dau, Ryan Gabrys, Yu-Chih Huang, Chen Feng, Quang-Hung Luu, Eidah J. Alzahrani, Zahir Tari:
Optimizing the Transition Waste in Coded Elastic Computing. - Alexander May, Lars Schlieper, Jonathan Schwinger:
Practical Period Finding on IBM Q - Quantum Speedups in the Presence of Errors. - Emanuele Brugnoli, Elena Toscano, Calogero Vetro:
Iterative methods for signal reconstruction on graphs. - Thomas Laurent, Paolo Arcaini, Fuyuki Ishikawa, Anthony Ventresque:
A Mutation-based Approach for Assessing Weight Coverage of a Path Planner. - Hidenori Ogata:
A numerical method of computing Hadamard finite-part integrals with an integral power singularity at the endpoint on a half infinite interval. - Magali Bardet, Pierre Briaud, Maxime Bros, Philippe Gaborit, Vincent Neiger, Olivier Ruatta, Jean-Pierre Tillich:
An Algebraic Attack on Rank Metric Code-Based Cryptosystems. - Mahmoud Said Elsayed, Nhien-An Le-Khac, Soumyabrata Dev, Anca Delia Jurcut:
Machine-Learning Techniques for Detecting Attacks in SDN. - Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto:
Limits and trade-offs of topological network robustness. - Lin Yuan, Zhou Yu:
Abstractive Dialog Summarization with Semantic Scaffolds. - Josef Rukavicka:
A Unique Extension of Rich Words. - Edoardo Artioli, L. Beirão da Veiga, Franco Dassi:
Curvilinear Virtual Elements for 2D solid mechanics applications. - V. P. Denysiuk:
Trigonometric splines in spectral problems. - V. P. Denysiuk:
About the classification of trigonometric splines. - Isaac Goldstein, Moshe Lewenstein, Ely Porat:
On the Hardness of Set Disjointness and Set Intersection with Bounded Universe. - Davide Basile, Maurice H. ter Beek, Rosario Pugliese:
Synthesis of Orchestrations and Choreographies: Bridging the Gap between Supervisory Control and Coordination of Services. - Javier Céspedes, Pablo M. Olmos, Matilde Sánchez Fernández, Fernando Pérez-Cruz:
Probabilistic MIMO Symbol Detection with Expectation Consistency Approximate Inference. - Stefanos Angelidis, Lea Frermann, Diego Marcheggiani, Roi Blanco, Lluís Màrquez:
BookQA: Stories of Challenges and Opportunities. - Joanna Piotrowska, Jonah M. Miller:
Spectral shock detection for dynamically developing discontinuities. - Wangjin Lee, Hyeryun Park, Jooyoung Yoon, Kyeongmo Kim, Jinwook Choi:
Clinical Text Generation through Leveraging Medical Concept and Relations. - Otmane Azeroual, Joachim Schöpfel:
Research Intelligence (CRIS) and the Cloud: A Review. - Sriram Bhyravarapu, Subrahmanyam Kalyanasundaram:
Conflict-Free Coloring on Open Neighborhoods. - Joan Boyar, Kim S. Larsen, Denis Pankratov:
Advice Complexity of Adaptive Priority Algorithms. - Haofei Kuang, Qingwen Xu, Xiaoling Long, Sören Schwertfeger:
Pose Estimation for Omni-directional Cameras using Sinusoid Fitting. - Xin Li, Lidong Bing, Wenxuan Zhang, Wai Lam:
Exploiting BERT for End-to-End Aspect-based Sentiment Analysis. - Benjamin Bergougnoux, Charis Papadopoulos, Jan Arne Telle:
Node Multiway Cut and Subset Feedback Vertex Set on Graphs of Bounded Mim-width. - Thomas Pinetz, Daniel Soukup, Thomas Pock:
On the estimation of the Wasserstein distance in generative models. - Lauri Vihman, Maarja Kruusmaa, Jaan Raik:
Overview of Fault Tolerant Techniques in Underwater Sensor Networks. - Ayush Gaud, Y. V. S. Harish, K. Madhava Krishna:
Object Parsing in Sequences Using CoordConv Gated Recurrent Networks. - Benjamin van der Burgh, Suzan Verberne:
The merits of Universal Language Model Fine-tuning for Small Datasets - a case with Dutch book reviews. - Yingxia Xi, Xia Ji, Shuo Zhang:
A high accuracy nonconforming finite element scheme for Helmholtz transmission eigenvalue problem. - Elazar Goldenberg, Robert Krauthgamer, Barna Saha:
Sublinear Algorithms for Gap Edit Distance. - Sangeeta, Kapil Sharma, Manju Bala:
New Failure Rate Model for Iterative Software Development Life Cycle Process. - Dan Frumin, Robbert Krebbers, Lars Birkedal:
Compositional Non-Interference for Fine-Grained Concurrent Programs. - Joseph Boudou, Martín Diéguez, David Fernández-Duque:
Complete Intuitionistic Temporal Logics in Topological Dynamics. - Luke Wicent Sy, Michael Raitor, Michael B. Del Rosario, Heba Khamis, Lauren Kark, Nigel H. Lovell, Stephen J. Redmond:
Estimating Lower Limb Kinematics using a Reduced Wearable Sensor Count. - Andrea Vanzo, Emanuele Bastianelli, Oliver Lemon:
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU. - Miguel Escolano, José Manuel Rodríguez, Javier Orús, Manuel Laspalas, Agustín Chiminelli:
Predictive Control Based on Reduced Order Model for temperature homogeneity in a resin transfer molding tool for thermoset materials. - Martin Bähr, Michael Breuß, Robert Dachsel:
Model Order Reduction for Efficient Descriptor-Based Shape Analysis. - Yu-Pin Hsu, Yu-Chih Huang, Shin-Lin Shieh:
Scheduling Stochastic Real-Time Jobs in Unreliable Workers. - Genevieve Gorrell, Mehmet E. Bakir, Mark A. Greenwood, Ian Roberts, Kalina Bontcheva:
Race and Religion in Online Abuse towards UK Politicians: Working Paper. - Maciej Wiatrak, Stefano V. Albrecht:
Stabilizing Generative Adversarial Network Training: A Survey. - Izumi Haruta, Koji Mineshima, Daisuke Bekki:
A CCG-based Compositional Semantics and Inference System for Comparatives. - Ji Lin, Chuang Gan, Song Han:
Training Kinetics in 15 Minutes: Large-scale Distributed Training on Videos. - Yuanming Hu, Luke Anderson, Tzu-Mao Li, Qi Sun, Nathan Carr, Jonathan Ragan-Kelley, Frédo Durand:
DiffTaichi: Differentiable Programming for Physical Simulation. - Madhu Sudan, David Xiang:
A Self-contained Analysis of the Lempel-Ziv Compression Algorithm. - Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. - Pedro Azevedo, Sabrina S. Panceri, Ranik Guidolini, Vinicius B. Cardoso, Claudine Badue, Thiago Oliveira-Santos, Alberto F. De Souza:
Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks. - Michael A. Lones:
Optimising Optimisers with Push GP. - Zhiqiang Wei:
Performance Analysis and Design of Non-orthogonal Multiple Access for Wireless Communications. - Pawel Swierczynski, Marc Fyrbiak, Philipp Koppe, Amir Moradi, Christof Paar:
Interdiction in Practice - Hardware Trojan Against a High-Security USB Flash Drive. - Philipp Koppe, Benjamin Kollenda, Marc Fyrbiak, Christian Kison, Robert Gawlik, Christof Paar, Thorsten Holz:
Reverse Engineering x86 Processor Microcode. - Max Hoffmann, Christof Paar:
Stealthy Opaque Predicates in Hardware - Obfuscating Constant Expressions at Negligible Overhead. - Youngeun Kim, Seunghyeon Kim, Taekyung Kim, Changick Kim:
CNN-based Semantic Segmentation using Level Set Loss. - Tianwei Hou, Yuanwei Liu, Zhengyu Song, Xin Sun, Yue Chen, Lajos Hanzo:
MIMO Assisted Networks Relying on Large Intelligent Surfaces: A Stochastic Geometry Model. - Wenqi Li, Fausto Milletari, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng:
Privacy-preserving Federated Brain Tumour Segmentation. - David Ramírez, Elza Erkip, H. Vincent Poor:
Age of Information with Finite Horizon and Partial Updates. - Seyedmostafa Sheikhalishahi, Vevake Balaraman, Venet Osmani:
Benchmarking machine learning models on eICU critical care dataset. - Mert Yüksekgönül, Özgür Emre Sivrikaya, Mustafa Gökçe Baydogan:
Learning Maximally Predictive Prototypes in Multiple Instance Learning. - Mohammad Riftadi, Jorik Oostenbrink, Fernando A. Kuipers:
GP4P4: Enabling Self-Programming Networks. - Minchae Jung, Walid Saad, Mérouane Debbah, Choong Seon Hong:
On the Optimality of Reconfigurable Intelligent Surfaces (RISs): Passive Beamforming, Modulation, and Resource Allocation. - Andreas P. Hinterreiter, Peter Ruch, Holger Stitz, Martin Ennemoser, Jürgen Bernard, Hendrik Strobelt, Marc Streit:
ConfusionFlow: A model-agnostic visualization for temporal analysis of classifier confusion. - Mutaz Y. Melhem, Laszlo B. Kish:
Generalized DC loop current attack against the KLJN secure key exchange scheme. - Yehuda Afek, Anat Bremler-Barr, Alon Noy:
Eradicating Attacks on the Internal Network with Internal Network Policy. - Arish S, R. K. Sharma:
An efficient floating point multiplier design for high speed applications using Karatsuba algorithm and Urdhva-Tiryagbhyam algorithm. - Arunkumar Vijayakumar, Vinay C. Patil, Daniel E. Holcomb, Christof Paar, Sandip Kundu:
Physical Design Obfuscation of Hardware: A Comprehensive Investigation of Device- and Logic-Level Techniques. - Micah Goldblum, Liam Fowl, Tom Goldstein:
Robust Few-Shot Learning with Adversarially Queried Meta-Learners. - Mark Van der Merwe, Qingkai Lu, Balakumar Sundaralingam, Martin Matak, Tucker Hermans:
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping. - Shanny Lin, Hao Zhu:
Enhancing the Spatio-Temporal Observability of Residential Loads. - Tien Tuan Anh Dinh, Anwitaman Datta, Beng Chin Ooi:
A Blueprint For Interoperable Blockchains. - Sayed Ashraf Mamun:
Sensor Networks in Healthcare: Ensuring Confidentiality and User Anonymity in WBAN. - Elizabeth Newman, Misha E. Kilmer:
Non-negative Tensor Patch Dictionary Approaches for Image Compression and Deblurring Applications. - Michel X. Goemans, Shafi Goldwasser, Dhiraj Holden:
Doubly-Efficient Pseudo-Deterministic Proofs. - Peter J. Liu, Yu-An Chung, Jie Ren:
SummAE: Zero-Shot Abstractive Text Summarization using Length-Agnostic Auto-Encoders. - Shukai Du, Francisco-Javier Sayas:
A unified error analysis of HDG methods for the static Maxwell equations. - Maria Bada, Basie von Solms, Ioannis Agrafiotis:
Reviewing National Cybersecurity Awareness for Users and Executives in Africa. - John F. J. Mellor, Eunbyung Park, Yaroslav Ganin, Igor Babuschkin, Tejas Kulkarni, Dan Rosenbaum, Andy Ballard, Theophane Weber, Oriol Vinyals, S. M. Ali Eslami:
Unsupervised Doodling and Painting with Improved SPIRAL. - Isaac Harris:
Approximation of the zero-index transmission eigenvalues with a conductive boundary and parameter estimation. - Nassim Abderrahmane, Edgar Lemaire, Benoît Miramond:
Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence. - Mohamed Alsharnouby, Anil Somayaji:
Thread Homeostasis: Real-Time Anomalous Behavior Detection for Safety-Critical Software. - Jiawei Hou, Yijun Yuan, Sören Schwertfeger:
Area Graph: Generation of Topological Maps using the Voronoi Diagram. - Shahin Tasoujian, Karolos Grigoriadis, Matthew A. Franchek:
Delay-Dependent Output-Feedback Control for Blood Pressure Regulation Using LPV Techniques. - Shahin Tasoujian, Saeed Salavati Dezfuli, Karolos Grigoriadis, Matthew A. Franchek:
Real-Time Cubature Kalman Filter Parameter Estimation of Blood Pressure Response Characteristics Under Vasoactive Drugs Administration. - Boris Karanov, Gabriele Liga, Vahid Aref, Domaniç Lavery, Polina Bayvel, Laurent Schmalen:
Deep Learning for Communication over Dispersive Nonlinear Channels: Performance and Comparison with Classical Digital Signal Processing. - Seyed Amir Alavi, Mehrnaz Javadipour, Kamyar Mehran:
Microgrid Optimal State Estimation Over IoT Wireless Sensor Networks With Event-Based Measurements. - Michele Scalas, Giorgio Giacinto:
Automotive Cybersecurity: Foundations for Next-Generation Vehicles. - Sravan Babu Bodapati, Spandana Gella, Kasturi Bhattacharjee, Yaser Al-Onaizan:
Neural Word Decomposition Models for Abusive Language Detection. - Johannes Klaus Fichte, Markus Hecher, Andreas Pfandler:
TE-ETH: Lower Bounds for QBFs of Bounded Treewidth. - Srivatsan Krishnan, Sharad Chitlangia, Maximilian Lam, Zishen Wan, Aleksandra Faust, Vijay Janapa Reddi:
Quantized Reinforcement Learning (QUARL). - Hyeryung Jang, Osvaldo Simeone, Brian Gardner, André Grüning:
An Introduction to Probabilistic Spiking Neural Networks. - Chen Tessler, Nadav Merlis, Shie Mannor:
Stabilizing Off-Policy Reinforcement Learning with Conservative Policy Gradients. - Abhijit Suprem:
Concept Drift Detection and Adaptation with Weak Supervision on Streaming Unlabeled Data. - Gabriel L. Duarte, Daniel Lokshtanov, Lehilton L. C. Pedrosa, Rafael C. S. Schouery, Uéverton S. Souza:
Computing the largest bond of a graph. - Haotian Jiang, Janardhan Kulkarni, Sahil Singla:
Online Geometric Discrepancy for Stochastic Arrivals with Applications to Envy Minimization. - Eleanor Quint, Dong Xu, Haluk Dogan, Zeynep Hakguder, Stephen Scott, Matthew B. Dwyer:
Formal Language Constraints for Markov Decision Processes. - Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang:
Task-Relevant Adversarial Imitation Learning. - Pushyami Kaveti, Hanumant Singh:
ROS Rescue : Fault Tolerance System for Robot Operating System. - Jana Novotná, Karolina Okrasa, Michal Pilipczuk, Pawel Rzazewski, Erik Jan van Leeuwen, Bartosz Walczak:
Subexponential-time algorithms for finding large induced sparse subgraphs. - Florent Foucaud, Hervé Hocquard, Dimitri Lajou, Valia Mitsou, Théo Pierron:
Parameterized complexity of edge-coloured and signed graph homomorphism problems. - Arnd Hartmanns, Benjamin Lucien Kaminski:
Optimistic Value Iteration. - Victor Sanh, Lysandre Debut, Julien Chaumond, Thomas Wolf:
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter. - Utkarsh Ojha, Krishna Kumar Singh, Cho-Jui Hsieh, Yong Jae Lee:
Elastic-InfoGAN: Unsupervised Disentangled Representation Learning in Imbalanced Data. - Shisrut Rawat, Aishwarya Srinivasan, Vinayakumar R.:
Intrusion detection systems using classical machine learning techniques versus integrated unsupervised feature learning and deep neural network. - Shinya Sumikura, Mikiya Shibuya, Ken Sakurada:
OpenVSLAM: A Versatile Visual SLAM Framework. - Meng He, Serikzhan Kazi:
Path and Ancestor Queries on Trees with Multidimensional Weight Vectors. - Jeff Da, Jungo Kasai:
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations. - Or Levi, Pedram Hosseini, Mona T. Diab, David A. Broniatowski:
Identifying Nuances in Fake News vs. Satire: Using Semantic and Linguistic Cues. - Siddhant Garg, Aditya Kumar Akash:
Stochastic Bandits with Delayed Composite Anonymous Feedback. - Jess Whittlestone, Aviv Ovadya:
The tension between openness and prudence in AI research. - Vernon K. Cody Bumgardner, Nima Seyedtalebi, Caylin D. Hickey:
Toward Edge-enabled Cyber-Physical Systems Testbeds. - Joachim Neu, Mustafa Cemil Coskun, Gianluigi Liva:
Ternary Quantized Polar Code Decoders: Analysis and Design. - Arnaud Mignan, Marco Broccardo:
Neural Network Applications in Earthquake Prediction (1994-2019): Meta-Analytic Insight on their Limitations. - Eric Zhan, Albert Tseng, Yisong Yue, Adith Swaminathan, Matthew J. Hausknecht:
Learning Calibratable Policies using Programmatic Style-Consistency. - Thomas Magelinski, David M. Beskow, Kathleen M. Carley:
Graph-Hist: Graph Classification from Latent Feature Histograms With Application to Bot Detection. - Ankit Shukla:
Improving Reasoning on DQBF. - Salimeh Yasaei Sekeh, Madan Ravi Ganesh, Shurjo Banerjee, Jason J. Corso, Alfred O. Hero III:
Geometric Online Adaptation: Graph-Based OSFS for Streaming Samples. - Deepan Muthirayan, Scott A. Nivison, Pramod P. Khargonekar:
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers. - Dakila Ledesma, Yu Liang, Dalei Wu:
Adaptive Generation of Phantom Limbs Using Visible Hierarchical Autoencoders. - Baris Evrim Demiröz, I. Kuban Altinel, Lale Akarun:
Rectangle Blanket Problem: Binary integer linear programming formulation and solution algorithms. - Chih-Chieh Yang, Guojing Cong:
Accelerating Data Loading in Deep Neural Network Training. - Bin Zhu, Xin Guo, Kenneth E. Barner, Charles Boncelet:
Automatic Group Cohesiveness Detection With Multi-modal Features. - Brigit Schroeder, Hanlin Tang, Alexandre Alahi:
Using Image Priors to Improve Scene Understanding. - Lu Wei:
Skewness of von Neumann entanglement entropy. - Lifeng Zhou, Vasileios Tzoumas, George J. Pappas, Pratap Tokekar:
Distributed Attack-Robust Submodular Maximization for Multi-Robot Planning. - Mihir Prabhudesai, Hsiao-Yu Fish Tung, Syed Ashar Javed, Maximilian Sieb, Adam W. Harley, Katerina Fragkiadaki:
Embodied Language Grounding with Implicit 3D Visual Feature Representations. - Gabriele Franch, Giuseppe Jurman, Luca Coviello, Marta Pendesini, Cesare Furlanello:
MASS-UMAP: Fast and accurate analog ensemble search in weather radar archive. - Vahid Moraveji Hashemi:
Social Influence and Radicalization: A Social Data Analytics Study. - Ahmed S. Zamzam, Kyri Baker:
Learning Optimal Solutions for Extremely Fast AC Optimal Power Flow. - Gunther Jikeli, Damir Cavar, Daniel Miehling:
Annotating Antisemitic Online Content. Towards an Applicable Definition of Antisemitism. - Xingyou Song, Wenbo Gao, Yuxiang Yang, Krzysztof Choromanski, Aldo Pacchiano, Yunhao Tang:
ES-MAML: Simple Hessian-Free Meta Learning. - Matt Higger, Fernando Quivira, Deniz Erdogmus:
User-Adaptive Text Entry for Augmentative and Alternative Communication. - Raj Kuwar Gupta, Shresth Verma, K. V. Arya, Soumya Agarwal, Prince Gupta:
IIITM Face: A Database for Facial Attribute Detection in Constrained and Simulated Unconstrained Environments. - Bingyang Wen, Sergül Aydöre:
ROMark: A Robust Watermarking System Using Adversarial Training. - Alexey Sidnev, Alexey Trushkov, Maxim Kazakov, Ivan Korolev, Vladislav Sorokin:
DeepMark: One-Shot Clothing Detection. - Huiying Li, Emily Willson, Haitao Zheng, Ben Y. Zhao:
Persistent and Unforgeable Watermarks for Deep Neural Networks. - Sakshi Mishra, Kate Anderson, Brian Miller, Kyle Boyer:
Microgrid Resilience: A holistic approach for assessing threats, identifying vulnerabilities, and designing corresponding mitigation strategies. - Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu:
Weakly supervised segmentation from extreme points. - Shresth Verma, Haritha S. Nair, Gaurav Agarwal, Joydip Dhar, Anupam Shukla:
Deep Reinforcement Learning for Single-Shot Diagnosis and Adaptation in Damaged Robots. - Akin Caliskan, Armin Mustafa, Evren Imre, Adrian Hilton:
Learning Dense Wide Baseline Stereo Matching for People. - Jon Gauthier, Roger Levy:
Linking artificial and human neural representations of language. - Mingchao Yu, Saeid Sahraei, Songze Li, Salman Avestimehr, Sreeram Kannan, Pramod Viswanath:
Coded Merkle Tree: Solving Data Availability Attacks in Blockchains. - James A. Preiss, Sébastien M. R. Arnold, Chen-Yu Wei, Marius Kloft:
Analyzing the Variance of Policy Gradient Estimators for the Linear-Quadratic Regulator. - Oscar Morales-Ponce:
Optimal Patrolling of High Priority Segments While Visiting the Unit Interval with a Set of Mobile Robots. - Ankit Garg, Visu Makam, Rafael Mendes de Oliveira, Avi Wigderson:
Search problems in algebraic complexity, GCT, and hardness of generator for invariant rings. - Masih Aminbeidokhti, Marco Pedersoli, Patrick Cardinal, Eric Granger:
Emotion Recognition with Spatial Attention and Temporal Softmax Pooling. - Daniel Vitor Ruiz, Bruno A. Krinski, Eduardo Todt:
ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection. - Youngsoo Choi, Peter Brown, Bill Arrighi, Robert W. Anderson:
Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems. - Gopal Sharma, Evangelos Kalogerakis, Subhransu Maji:
Learning Point Embeddings from Shape Repositories for Few-Shot Segmentation. - Yiling Lou, Ali Ghanbari, Xia Li, Lingming Zhang, Dan Hao, Lu Zhang:
Can Automated Program Repair Refine Fault Localization? - Alexander Wong, Mahmoud Famouri, Mohammad Javad Shafiee, Francis Li, Brendan Chwyl, Jonathan Chung:
YOLO Nano: a Highly Compact You Only Look Once Convolutional Neural Network for Object Detection. - Kathleen C. Fraser, Isar Nejadgholi, Berry de Bruijn, Muqun Li, Astha LaPlante, Khaldoun Zine El Abidine:
Extracting UMLS Concepts from Medical Text Using General and Domain-Specific Deep Learning Models. - Sicong Tang, Feitong Tan, Kelvin Cheng, Zhaoyang Li, Siyu Zhu, Ping Tan:
A Neural Network for Detailed Human Depth Estimation from a Single Image. - Haofan Wang, Mengnan Du, Fan Yang, Zijian Zhang:
Score-CAM: Improved Visual Explanations Via Score-Weighted Class Activation Mapping. - Mehdi Neshat, Bradley Alexander, Markus Wagner:
A Hybrid Cooperative Co-evolution Algorithm Framework for Optimising Power Take Off and Placements of Wave Energy Converters. - Jingwei Ji, Kaidi Cao, Juan Carlos Niebles:
Learning Temporal Action Proposals With Fewer Labels. - Yu She, Sandra Q. Liu, Peiyu Yu, Edward H. Adelson:
Exoskeleton-covered soft finger with vision-based proprioception and exteroception. - (Withdrawn) Efficient Local Causal Discovery Based on Markov Blanket.
- Kai Fan, Jiayi Wang, Bo Li, Boxing Chen, Niyu Ge:
Neural Zero-Inflated Quality Estimation Model For Automatic Speech Recognition System. - Tai-Quan Peng, Jonathan J. H. Zhu:
Mobile Phone Use as Sequential Processes: From Discrete Behaviors to Sessions of Behaviors and Trajectories of Sessions. - Gordon Hoi, Sanjay Jain, Frank Stephan:
A Fast Exponential Time Algorithm for Max Hamming Distance X3SAT. - Shinsaku Sakaue, Naoki Marumo:
Best-first Search Algorithm for Non-convex Sparse Minimization. - Yuta Koreeda, Gaku Morio, Terufumi Morishita, Hiroaki Ozaki, Kohsuke Yanai:
Hitachi at MRP 2019: Unified Encoder-to-Biaffine Network for Cross-Framework Meaning Representation Parsing. - Ragesh K. Ramachandran, Nicole Fronda, Gaurav S. Sukhatme:
Resilience in multi-robot target tracking through reconfiguration. - Olexandr Polishchuk:
About Three Dimensional Jump Boundary Value Problems for the Laplacian. - Igor Shalyminov, Sungjin Lee, Arash Eshghi, Oliver Lemon:
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks. - Sun Sun Lim, Roland Bouffanais:
From Senseless Swarms to Smart Mobs: Tuning Networks for Prosocial Behaviour. - Francois Demoullin, Ayub A. Gubran, Tor M. Aamodt:
Hash-Based Ray Path Prediction: Skipping BVH Traversal Computation by Exploiting Ray Locality. - Grigory Tsiperman:
Seamless design of information system architecture based on adaptive clustering method. - Pingcheng Ruan, Gang Chen, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Beng Chin Ooi, Meihui Zhang:
Blockchains and Distributed Databases: a Twin Study. - Gregor Gantner, Dirk Praetorius:
Adaptive IGAFEM with optimal convergence rates: T-splines. - Tiago Ramalho, Thierry Sousbie, Stefano Peluchetti:
An empirical study of pretrained representations for few-shot classification. - Morteza Verdi, Ashkan Sami, Jafar Akhondali, Foutse Khomh, Gias Uddin, Alireza Karami Motlagh:
An Empirical Study of C++ Vulnerabilities in Crowd-Sourced Code Examples. - He Zhao, Trung Le, Paul Montague, Olivier Y. de Vel, Tamas Abraham, Dinh Phung:
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions. - Lou Salaun, Chung Shue Chen, Marceau Coupechoux:
Optimal Joint Subcarrier and Power Allocation in NOMA is Strongly NP-Hard. - Victor Boone, Georgios Piliouras:
From Darwin to Poincaré and von Neumann: Recurrence and Cycles in Evolutionary and Algorithmic Game Theory. - Zhengyuan Liu, Angela Ng, Sheldon Lee Shao Guang, Ai Ti Aw, Nancy F. Chen:
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations. - Bilal Ghanem, Davide Buscaldi, Paolo Rosso:
TexTrolls: Identifying Russian Trolls on Twitter from a Textual Perspective. - Samuel Paradis, Michael Whitmeyer:
Pay Attention: Leveraging Sequence Models to Predict the Useful Life of Batteries. - Jang Hyun Cho, Bharath Hariharan:
On the Efficacy of Knowledge Distillation. - Shashank Tiwari, Suvra Sekhar Das, Vivek Rangamgari:
Low Complexity LMMSE Receiver for OTFS. - Kai Rothauge, Haripriya Ayyalasomayajula, Kristyn J. Maschhoff, Michael F. Ringenburg, Michael W. Mahoney:
Running Alchemist on Cray XC and CS Series Supercomputers: Dask and PySpark Interfaces, Deployment Options, and Data Transfer Times. - Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis:
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead. - Xiangyu Gao, Jianzhong Li, Dongjing Miao, Xianmin Liu:
Recognizing the Tractability in Big Data Computing. - Mareike Hartmann, Yevgeniy Golovchenko, Isabelle Augenstein:
Mapping (Dis-)Information Flow about the MH17 Plane Crash. - Alessandro Masullo, Tilo Burghardt, Toby Perrett, Dima Damen, Majid Mirmehdi:
Sit-to-Stand Analysis in the Wild using Silhouettes for Longitudinal Health Monitoring. - Hadrien Bride, Jin Song Dong, Ryan Green, Zhe Hou, Brendan P. Mahony, Martin Oxenham:
GRAVITAS: A Model Checking Based Planning and Goal Reasoning Framework for Autonomous Systems. - Hadrien Bride, Zhe Hou, Jie Dong, Jin Song Dong, Seyed Mohammad Mirjalili:
Silas: High Performance, Explainable and Verifiable Machine Learning. - Kevin Atighehchi, Loubna Ghammam, Koray Karabina, Patrick Lacharme:
A Cryptanalysis of Two Cancelable Biometric Schemes based on Index-of-Max Hashing. - Kieran Woodward, Eiman Kanjo, Andreas Oikonomou:
LabelSens: Enabling Real-time Sensor Data Labelling at the point of Collection on Edge Computing. - Kimia Dinashi, Ramin Toosi, Mohammad Ali Akhaee:
Face Manifold: Manifold Learning for Synthetic Face Generation. - Dexuan Zhang, Tatsuya Harada:
A General Upper Bound for Unsupervised Domain Adaptation. - Francesc Verdugo, Santiago Badia:
A user-guide to Gridap - grid-based approximation of partial differential equations in Julia. - Dimitrios Kollias, Stefanos Zafeiriou:
Exploiting multi-CNN features in CNN-RNN based Dimensional Emotion Recognition on the OMG in-the-wild Dataset. - Alan M. Frisch, Brahim Hnich, Zeynep Kiziltan, Ian Miguel, Toby Walsh:
A Commentary on "Breaking Row and Column Symmetries in Matrix Models". - Erwan Le Merrer, Gilles Trédan:
The Bouncer Problem: Challenges to Remote Explainability. - Katherine Elkins, Jon Chun:
Can Sentiment Analysis Reveal Structure in a Plotless Novel? - Kexin Yi, Chuang Gan, Yunzhu Li, Pushmeet Kohli, Jiajun Wu, Antonio Torralba, Joshua B. Tenenbaum:
CLEVRER: CoLlision Events for Video REpresentation and Reasoning. - Abhishek Santra, Sanjukta Bhowmick, Sharma Chakravarthy:
Efficient Community Detection in Boolean Composed Multiplex Networks. - Yuta Saito:
Eliminating Bias in Recommender Systems via Pseudo-Labeling. - Michelangelo Harris, Brian Liu, Cean Park, Ravi Ramireddy, Gloria Ren, Max Ren, Shangdi Yu, Andrew Daw, Jamol Pender:
Analyzing the Spotify Top 200 Through a Point Process Lens. - SrinivasaRao SubramanyaRao, Enrique Argones-Rúa:
Comments on a recently proposed Privacy Preserving Lightweight Biometric Authentication System for IoT Security. - Carl Yang, Xiaolin Shi, Luo Jie, Jiawei Han:
I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application. - Carl Yang, Mengxiong Liu, Frank He, Xikun Zhang, Jian Peng, Jiawei Han:
Similarity Modeling on Heterogeneous Networks via Automatic Path Discovery. - Ramiro Camino, Christof Ferreira Torres, Radu State:
A Data Science Approach for Honeypot Detection in Ethereum. - Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance M. Kaplan, Timothy Harratty, Jiawei Han:
CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining. - Hao Xu:
D2D-LSTM based Prediction of the D2D Diffusion Path in Mobile Social Networks. - Sansiri Tarnpradab, Kien A. Hua:
Attention Based Neural Architecture for Rumor Detection with Author Context Awareness. - Changkun Ou, Yifei Zhan, Yaxi Chen:
Identifying Malicious Players in GWAP-based Disaster Monitoring Crowdsourcing System. - Yunlu Chen, Thomas Mensink, Efstratios Gavves:
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. - Alexander Te-Wei Shieh, Yung-Sung Chuang, Shang-Yu Su, Yun-Nung Chen:
Towards Understanding of Medical Randomized Controlled Trials by Conclusion Generation. - Kin Wai Cheuk, Balamurali B. T., Gemma Roig, Dorien Herremans:
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks. - Johannes Ackermann, Volker Gabler, Takayuki Osa, Masashi Sugiyama:
Reducing Overestimation Bias in Multi-Agent Domains Using Double Centralized Critics. - Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure:
Slanted Stixels: A way to represent steep streets. - Wonpyo Park, Paul Hongsuck Seo, Bohyung Han, Minsu Cho:
Regularizing Neural Networks via Stochastic Branch Layers. - Behrooz Mamandipoor, Mahshid Majd, Monica Moz, Venet Osmani:
Blood lactate concentration prediction in critical care patients: handling missing values. - Vincenzo De Florio, Susanna Donatelli, Giovanna Dondossola:
Flexible Development of Dependability Services: An Experience Derived from Energy Automation Systems. - Paul Muntean, Matthias Neumayer, Zhiqiang Lin, Gang Tan, Jens Grossklags, Claudia Eckert:
Analyzing Control Flow Integrity with LLVM-CFI. - Phillipe R. Sampaio, Raphael Salvazet, Pierre Mandel, Gwénaëlle Becker, Damien Chenu:
Simulation and optimal control of heating and cooling systems: a case study of a commercial building. - Nicolas Dugué, Victor Connes:
Complex networks based word embeddings. - Sayyed-Ahmad Naghavi-Nozad, Seyed-Mojtaba Banaei, Mohsen Saberi:
A Grid-based Approach for Convexity Analysis of a Density-based Cluster. - Peter Mattson, Christine Cheng, Cody Coleman, Greg Diamos, Paulius Micikevicius, David A. Patterson, Hanlin Tang, Gu-Yeon Wei, Peter Bailis, Victor Bittorf, David Brooks, Dehao Chen, Debojyoti Dutta, Udit Gupta, Kim M. Hazelwood, Andrew Hock, Xinyuan Huang, Bill Jia, Daniel Kang, David Kanter, Naveen Kumar, Jeffery Liao, Guokai Ma, Deepak Narayanan, Tayo Oguntebi, Gennady Pekhimenko, Lillian Pentecost, Vijay Janapa Reddi, Taylor Robie, Tom St. John, Carole-Jean Wu, Lingjie Xu, Cliff Young, Matei Zaharia:
MLPerf Training Benchmark. - Krzysztof Rusek, José Suárez-Varela, Paul Almasan, Pere Barlet-Ros, Albert Cabellos-Aparicio:
RouteNet: Leveraging Graph Neural Networks for network modeling and optimization in SDN. - Pimprenelle Parmentier, Tiphaine Viard, Benjamin Renoust, Jean-François Baffier:
Introducing multilayer stream graphs and layer centralities. - Jie Mei, Xianbin Wang, Kan Zheng:
Intelligent Network Slicing for V2X Services Towards 5G. - Maik Ender, Pawel Swierczynski, Sebastian Wallat, Matthias Wilhelm, Paul Martin Knopp, Christof Paar:
Insights into the Mind of a Trojan Designer: The Challenge to Integrate a Trojan into the Bitstream. - Marc Fyrbiak, Sebastian Strauß, Christian Kison, Sebastian Wallat, Malte Elson, Nikol Rummel, Christof Paar:
Hardware Reverse Engineering: Overview and Open Challenges. - Sebastian Wallat, Marc Fyrbiak, Moritz Schlögel, Christof Paar:
A Look at the Dark Side of Hardware Reverse Engineering - A Case Study. - Federica Battisti, Giuseppe Bernieri, Marco Carli, Michela Lopardo, Federica Pascucci:
Detecting integrity attacks in IoT-based Cyber Physical Systems: a case study on Hydra testbed. - Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu:
RNAS: Architecture Ranking for Powerful Networks. - Joel Veness, Tor Lattimore, Avishkar Bhoopchand, David Budden, Christopher Mattern, Agnieszka Grabska-Barwinska, Peter Toth, Simon Schmitt, Marcus Hutter:
Gated Linear Networks. - Arya D. McCarthy, Winston Wu, Aaron Mueller, Bill Watson, David Yarowsky:
Modeling Color Terminology Across Thousands of Languages. - Uwe Petersohn, Sandra Zimmer, Jens Lehmann:
Method for the semantic indexing of concept hierarchies, uniform representation, use of relational database systems and generic and case-based reasoning. - William H. Guss, Ruslan Salakhutdinov:
On Universal Approximation by Neural Networks with Uniform Guarantees on Approximation of Infinite Dimensional Maps. - Yi-Ting Chen, Chi-Hsuan Hsu, Chih-Han Chung, Yu-Shuen Wang, Sabarish V. Babu:
iVRNote: Design, Creation and Evaluation of an Interactive Note-Taking Interface for Study and Reflection in VR Learning Environments. - Teo Deveney, Eike Hermann Müller, Tony Shardlow:
A deep surrogate approach to efficient Bayesian inversion in PDE and integral equation models. - Ting Cheng, Lina Ma, Jie Shen:
An efficient numerical scheme for a 3D spherical dynamo equation. - (Withdrawn) Extensions of the Algorithmic Lovasz Local Lemma.
- Ritwika Ghosh, Joao P. Jansch-Porto, Chiao Hsieh, Amelia Gosse, Minghao Jiang, Hebron Taylor, Peter Du, Sayan Mitra, Geir E. Dullerud:
CyPhyHouse: A Programming, Simulation, and Deployment Toolchain for Heterogeneous Distributed Coordination. - James Cadden, Thomas Unger, Yara Awad, Han Dong, Orran Krieger, Jonathan Appavoo:
SEUSS: Rapid serverless deployment using environment snapshots. - Tanima Chatterjee, Bhaskar DasGupta:
On partisan bias in redistricting: computational complexity meets the science of gerrymandering. - Francesco Marra, Cristiano Saltori, Giulia Boato, Luisa Verdoliva:
Incremental learning for the detection and classification of GAN-generated images. - Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atilim Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt:
Prediction of GNSS Phase Scintillations: A Machine Learning Approach. - Shuowen Zhang, Rui Zhang:
Capacity Characterization for Intelligent Reflecting Surface Aided MIMO Communication. - Yanqi Zhou, Sudip Roy, AmirAli Abdolrashidi, Daniel Lin-Kit Wong, Peter C. Ma, Qiumin Xu, Ming Zhong, Hanxiao Liu, Anna Goldie, Azalia Mirhoseini, James Laudon:
GDP: Generalized Device Placement for Dataflow Graphs. - Binxuan Huang, Kathleen M. Carley:
Location Order Recovery in Trails with Low Temporal Resolution. - David Murphy, Conor Higgins:
Secondary Inputs for Measuring User Engagement in Immersive VR Education Environments. - Fabian Willems, Mohammad Raahemi, Prasadith Buddhitha, Carlisle Adams, Thomas Tran:
On the security and privacy of Interac e-Transfers. - Parikshit Pareek, Hung D. Nguyen:
Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning. - Mostafa Rahmani, Ping Li:
Graph Analysis and Graph Pooling in the Spatial Domain. - Laura Manduchi, Matthias Hüser, Gunnar Rätsch, Vincent Fortuin:
Variational PSOM: Deep Probabilistic Clustering with Self-Organizing Maps. - Jianguo Huang, Haoqin Wang, Haizhao Yang:
Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems. - Sabah Al-Fedaghi, MennatAllah Bayoumi:
Authentication Modeling with Five Generic Processes. - Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi, Saeed Sharifian, Rong Zheng:
SensorDrop: A Reinforcement Learning Framework for Communication Overhead Reduction on the Edge. - Ruben Rodriguez Torrado, Ahmed Khalifa, Michael Cerny Green, Niels Justesen, Sebastian Risi, Julian Togelius:
Bootstrapping Conditional GANs for Video Game Level Generation. - Adam M. Oberman:
Partial differential equation regularization for supervised machine learning. - Marco Dall'Aglio:
Fair Division of Goods with Market Values. - Yu Bai, Jason D. Lee:
Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks. - Andreas Venzke, Spyros Chatzivasileiadis:
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. - Leighton Pate Barnes, Ayfer Özgür:
Minimax Bounds for Distributed Logistic Regression. - Maxime Ferreira Da Costa, Yuejie Chi:
On the Stable Resolution Limit of Total Variation Regularization for Spike Deconvolution. - Greg Ongie, Rebecca Willett, Daniel Soudry, Nathan Srebro:
A Function Space View of Bounded Norm Infinite Width ReLU Nets: The Multivariate Case. - Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. - Shreshth Tuli, Shikhar Tuli, Udit Jain, Rajkumar Buyya:
APEX: Adaptive Ext4 File System for Enhanced Data Recoverability in Edge Devices. - Sanjeev Arora, Simon S. Du, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang, Dingli Yu:
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks. - Jizong Peng, Christian Desrosiers, Marco Pedersoli:
Information based Deep Clustering: An experimental study. - Matthew Trager, Kathlén Kohn, Joan Bruna:
Pure and Spurious Critical Points: a Geometric Study of Linear Networks. - Leticia Duboc, Curtis McCord, Christoph Becker, Syed Ishtiaque Ahmed:
Critical Requirements Engineering in Practice. - Mikhail O. Chekanov, Oleg S. Shipitko, Egor I. Ershov:
1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT). - Wenhao Luo, Sha Yi, Katia P. Sycara:
Behavior Mixing with Minimum Global and Subgroup Connectivity Maintenance for Large-Scale Multi-Robot Systems. - Jingrong Lin, Keegan Lensink, Eldad Haber:
Fluid Flow Mass Transport for Generative Networks. - Bruno Bentzen:
A Henkin-style completeness proof for the modal logic S5. - Chen Fu, Chiyu Dong, Xiao Zhang, John M. Dolan:
Low-cost LIDAR based Vehicle Pose Estimation and Tracking. - Khurram Javed, Hengshuai Yao, Martha White:
Is Fast Adaptation All You Need? - Ryan D'Orazio, Dustin Morrill, James R. Wright:
Bounds for Approximate Regret-Matching Algorithms. - Scott Fujimoto, Edoardo Conti, Mohammad Ghavamzadeh, Joelle Pineau:
Benchmarking Batch Deep Reinforcement Learning Algorithms. - Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby:
Semi-Supervised Generative Modeling for Controllable Speech Synthesis. - Kazuki Takeda, Huilin Xu, Taehyoung Kim, Karol Schober, Xingqin Lin:
Understanding the Heart of the 5G Air Interface: An Overview of Physical Downlink Control Channel for 5G New Radio (NR). - Shih-Han Chou, Cheng Sun, Wen-Yen Chang, Wan Ting Hsu, Min Sun, Jianlong Fu:
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images. - Vadim Arzamasov, Klemens Böhm:
Scenario Discovery via Rule Extraction. - Gautam Raj Mode, Prasad Calyam, Khaza Anuarul Hoque:
False Data Injection Attacks in Internet of Things and Deep Learning enabled Predictive Analytics. - Joel Stehouwer, Hao Dang, Feng Liu, Xiaoming Liu, Anil K. Jain:
On the Detection of Digital Face Manipulation. - Emilio Ferrara:
Bots, elections, and social media: a brief overview. - Stjepan Gros:
A Critical View on CIS Controls. - Hadar Miller, Osnat Mokryn:
Constant State of Change: Engagement Inequality in Temporal Dynamic Networks. - Kolby Nottingham, Anand Balakrishnan, Jyotirmoy V. Deshmukh, Connor Christopherson, David Wingate:
Using Logical Specifications of Objectives in Multi-Objective Reinforcement Learning. - Edward Grefenstette, Brandon Amos, Denis Yarats, Phu Mon Htut, Artem Molchanov, Franziska Meier, Douwe Kiela, Kyunghyun Cho, Soumith Chintala:
Generalized Inner Loop Meta-Learning. - Bo Jiang, Beibei Wang, Jin Tang, Bin Luo:
Graph Mask Convolutional Network. - Bo Jiang, Leiling Wang, Jin Tang, Bin Luo:
Context-Aware Graph Attention Networks. - Abhishek Santra, Kanthi Sannappa Komar, Sanjukta Bhowmick, Sharma Chakravarthy:
An Efficient Framework for Computing Structure- And Semantics-Preserving Community in a Heterogeneous Multilayer Network. - Astrid Merckling, Alexandre Coninx, Loic Cressot, Stéphane Doncieux, Nicolas Perrin:
State Representation Learning from Demonstration. - David Eriksson, Michael Pearce, Jacob R. Gardner, Ryan Turner, Matthias Poloczek:
Scalable Global Optimization via Local Bayesian Optimization. - Samyam Rajbhandari, Harsh Shrivastava, Yuxiong He:
AntMan: Sparse Low-Rank Compression to Accelerate RNN inference. - Denis Yarats, Amy Zhang, Ilya Kostrikov, Brandon Amos, Joelle Pineau, Rob Fergus:
Improving Sample Efficiency in Model-Free Reinforcement Learning from Images. - Wenqi Wei, Ling Liu, Margaret Loper, Ka Ho Chow, Mehmet Emre Gursoy, Stacey Truex, Yanzhao Wu:
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples. - Shih-Yang Su, Hossein Hajimirsadeghi, Greg Mori:
Graph Generation with Variational Recurrent Neural Network. - Guillermo A. Castillo, Bowen Weng, Wei Zhang, Ayonga Hereid:
Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning. - Omri Ben-Eliezer, Clément L. Canonne, Shoham Letzter, Erik Waingarten:
Finding monotone patterns in sublinear time. - Suraj Nair, Yuke Zhu, Silvio Savarese, Li Fei-Fei:
Causal Induction from Visual Observations for Goal Directed Tasks. - Yuya Higashikawa, Naoki Katoh, Guohui Lin, Eiji Miyano, Suguru Tamaki, Junichi Teruyama, Binhai Zhu:
On Computing a Center Persistence Diagram. - Sunjay Cauligi, Craig Disselkoen, Klaus von Gleissenthall, Deian Stefan, Tamara Rezk, Gilles Barthe:
Towards Constant-Time Foundations for the New Spectre Era. - Mike Tian-Jian Jiang:
Character Feature Engineering for Japanese Word Segmentation. - Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu:
NeurReg: Neural Registration and Its Application to Image Segmentation. - Rares Ambrus, Vitor Guizilini, Jie Li, Sudeep Pillai, Adrien Gaidon:
Two Stream Networks for Self-Supervised Ego-Motion Estimation. - Vitor Guizilini, Jie Li, Rares Ambrus, Sudeep Pillai, Adrien Gaidon:
Robust Semi-Supervised Monocular Depth Estimation with Reprojected Distances. - Subhabrata Mukherjee, Ahmed Hassan Awadallah:
Distilling Transformers into Simple Neural Networks with Unlabeled Transfer Data. - Kizito Nkurikiyeyezu, Anna Yokokubo, Guillaume Lopez:
The Influence of Person-Specific Biometrics in Improving Generic Stress Predictive Models. - Paul Tarau:
Formula Transformers and Combinatorial Test Generators for Propositional Intuitionistic Theorem Provers. - Stéphane Bessy, Marin Bougeret, Alan Diêgo A. Carneiro, Fábio Protti, Uéverton S. Souza:
Width Parameterizations for Knot-free Vertex Deletion on Digraphs. - Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen:
Learning Robust Representations with Graph Denoising Policy Network. - Kyoungseok Han, Nan Li, Ilya V. Kolmanovsky, Anouck Girard, Yan Wang, Dimitar P. Filev, Edward Dai:
Co-optimization of Speed and Gearshift Control for Battery Electric Vehicles Using Preview Information. - Zhao Song, Ruosong Wang, Lin F. Yang, Hongyang Zhang, Peilin Zhong:
Efficient Symmetric Norm Regression via Linear Sketching. - Akshay L. Chandra, Sai Vikas Desai, Vineeth N. Balasubramanian, Seishi Ninomiya, Wei Guo:
Active Learning with Weak Supervision for Cost-Effective Panicle Detection in Cereal Crops. - Mohammad Lotfollahi, Mohsen Naghipourfar, Fabian J. Theis, F. Alexander Wolf:
Conditional out-of-sample generation for unpaired data using trVAE. - Andreas Venzke, Daniel K. Molzahn, Spyros Chatzivasileiadis:
Efficient Creation of Datasets for Data-Driven Power System Applications. - Bo Wu, Wen-Huang Cheng, Peiye Liu, Zhaoyang Zeng, Jiebo Luo:
SMP Challenge: An Overview of Social Media Prediction Challenge 2019. - Sajad Darabi, Mohammad Kachuee, Majid Sarrafzadeh:
Unsupervised Representation for EHR Signals and Codes as Patient Status Vector. - Alexander Jung:
On the Duality between Network Flows and Network Lasso. - Ekaterina Nikonova, Jakub Gemrot:
Deep Q-Network for Angry Birds. - Luke Wicent Sy, Nigel H. Lovell, Stephen J. Redmond:
Estimating Lower Limb Kinematics using a Lie Group Constrained EKF and a Reduced Wearable IMU Count. - Barbara Kaltenbacher, Andrej Klassen, Mario Luiz Previatti de Souza:
The Ivanov regularized Gauss-Newton method in Banach space with an a posteriori choice of the regularization radius. - Sebastian Weiss, Robert Maier, Rüdiger Westermann, Daniel Cremers, Nils Thuerey:
Sparse Surface Constraints for Combining Physics-based Elasticity Simulation and Correspondence-Free Object Reconstruction. - Hang Jiang, Haoshen Hong, Yuxing Chen, Vivek Kulkarni:
DialectGram: Detecting Dialectal Variation at Multiple Geographic Resolutions. - Yan Wang, Kensuke Harada, Weiwei Wan:
Motion Planning through Demonstration to Deal with Complex Motions in Assembly Process. - Wei Li, Yunfang Wu:
Multi-level Gated Recurrent Neural Network for Dialog Act Classification. - Tanner A. Bohn, Yining Hu, Charles X. Ling:
Few-Shot Abstract Visual Reasoning With Spectral Features. - Vivek Kumar Bagaria, Joachim Neu, David Tse:
Boomerang: Redundancy Improves Latency and Throughput in Payment Networks. - Evangelos N. Papasotiriou, Alexandros-Apostolos A. Boulogeorgos, Angeliki Alexiou:
Ergodic capacity evaluation of wireless THz fiber extenders. - Johannes Rabold, Hannah Deininger, Michael Siebers, Ute Schmid:
Enriching Visual with Verbal Explanations for Relational Concepts - Combining LIME with Aleph. - Duc Tam Nguyen, Chaithanya Kumar Mummadi, Thi-Phuong-Nhung Ngo, Thi Hoai Phuong Nguyen, Laura Beggel, Thomas Brox:
SELF: Learning to Filter Noisy Labels with Self-Ensembling. - Philipp Kratzer, Marc Toussaint, Jim Mainprice:
Prediction of Human Full-Body Movements with Motion Optimization and Recurrent Neural Networks. - Yoel Drori, Ohad Shamir:
The Complexity of Finding Stationary Points with Stochastic Gradient Descent. - Sylvain Courtain, Pierre Leleux, Ilkka Kivimäki, Guillaume Guex, Marco Saerens:
Randomized Shortest Paths with Net Flows and Capacity Constraints. - Yangfan Zhang, Pengfei Wang, Wenping Li, Shunchuan Yang:
An Accurate Edge-based FEM for Electromagnetic Analysis with Its Applications to Multiscale Structures. - Jyotibdha Acharya, Andrés Ussa Caycedo, Vandana Reddy Padala, Rishi Raj Sidhu Singh, Garrick Orchard, Bharath Ramesh, Arindam Basu:
EBBIOT: A Low-complexity Tracking Algorithm for Surveillance in IoVT Using Stationary Neuromorphic Vision Sensors. - Zied Selmi, Mohamed Ben Halima, Umapada Pal, Mohamed Adel Alimi:
DELP-DAR System for License Plate Detection and Recognition. - Thomas M. Bendall, Thomas H. Gibson, Jemma Shipton, Colin J. Cotter, Ben Shipway:
A Compatible Finite Element Discretisation for the Moist Compressible Euler Equations. - Rakesh Katuwal, Ponnuthurai N. Suganthan:
Stacked Autoencoder Based Deep Random Vector Functional Link Neural Network for Classification. - Jan Niehues, Ngoc-Quan Pham:
Modeling Confidence in Sequence-to-Sequence Models. - Rahul Meshram, Kesav Kaza:
Online repeated posted price auctions with a demand side platform. - Jenna Kanerva, Samuel Rönnqvist, Riina Kekki, Tapio Salakoski, Filip Ginter:
Template-free Data-to-Text Generation of Finnish Sports News. - Marc Joye, Fabien A. P. Petitcolas:
PINFER: Privacy-Preserving Inference for Machine Learning. - Vicent Cholvi, Juan Echagüe, Antonio Fernández Anta, Christopher Thraves Caro:
System Stability Under Adversarial Injection of Dependent Tasks. - Parham Hadikhani, Pooria Hadikhani:
An adaptive hybrid algorithm for social networks to choose groups with independent members. - James R. Clough, Ilkay Öksüz, Nicholas Byrne, Veronika A. Zimmer, Julia A. Schnabel, Andrew P. King:
A Topological Loss Function for Deep-Learning based Image Segmentation using Persistent Homology. - Kyoomars Alizadeh Noghani, Andreas Kassler, Javid Taheri:
On the Cost-Optimality Trade-off for Service Function Chain Reconfiguration. - Alexandros-Apostolos A. Boulogeorgos, Evangelos N. Papasotiriou, Angeliki Alexiou:
Analytical Performance Evaluation of THz Wireless Fiber Extenders. - Andreas Madsen, Alexander Rosenberg Johansen:
Measuring Arithmetic Extrapolation Performance. - Franck Assous, Irina Raichik:
Numerical solution to the 3D Static Maxwell equations in axisymmetric singular domains with arbitrary data. - Chung Chan:
Secret key agreement for hypergraphical sources with limited total discussion. - Lorenzo Gaudio, Mari Kobayashi, Giuseppe Caire, Giulio Colavolpe:
On the Effectiveness of OTFS for Joint Radar and Communication. - (Withdrawn) Robust Output Feedback Stabilization of Multivariable Invertible Nonlinear Systems: A Feedback Linearization-Based Method.
- Sidney Golstein, Trung-Hien Nguyen, François Horlin, Philippe De Doncker, Julien Sarrazin:
Physical Layer Security in Frequency-Domain Time-Reversal SISO OFDM Communication. - Adith Boloor, Karthik Garimella, Xin He, Christopher D. Gill, Yevgeniy Vorobeychik, Xuan Zhang:
Attacking Vision-based Perception in End-to-End Autonomous Driving Models. - Alexandru Chirvasitu, Thomas W. Cusick:
Symbolic dynamics and rotation symmetric Boolean functions. - Ashwin Ganesan:
On some distributed scheduling algorithms for wireless networks with hypergraph interference models. - Lou Salaun, Marceau Coupechoux, Chung Shue Chen:
Weighted Sum-Rate Maximization in Multi-Carrier NOMA with Cellular Power Constraint. - Junghoon Seo, Seungwon Lee, Beomsu Kim, Taegyun Jeon:
Revisiting Classical Bagging with Modern Transfer Learning for On-the-fly Disaster Damage Detector. - Benjamin Eysenbach, Sergey Levine:
If MaxEnt RL is the Answer, What is the Question? - Ragesh K. Ramachandran, Lifeng Zhou, Gaurav S. Sukhatme:
Resilient Coverage: Exploring the Local-to-Global Trade-off. - Mohsen Jafarzadeh, Yonas Tadesse:
Convolutional Neural Networks for Speech Controlled Prosthetic Hands. - Huixin Zhan, Yongcan Cao:
Relationship Explainable Multi-objective Optimization Via Vector Value Function Based Reinforcement Learning. - (Withdrawn) A new method for quantifying network cyclic structure to improve community detection.
- Weijiang Yu, Xiaodan Liang, Ke Gong, Chenhan Jiang, Nong Xiao, Liang Lin:
Layout-Graph Reasoning for Fashion Landmark Detection. - Pavel Korshunov, Sébastien Marcel:
Vulnerability of Face Recognition to Deep Morphing. - Rajesh Chitnis, Andreas Emil Feldmann:
FPT Inapproximability of Directed Cut and Connectivity Problems. - Petra Wolf:
Synchronization under Dynamic Constraints. - Bharath Shamasundar, A. Chockalingam:
A DNN Architecture for the Detection of Generalized Spatial Modulation Signals. - Sedigheh Mahdavi, Shima Khoshraftar, Aijun An:
Dynamic Joint Variational Graph Autoencoders. - Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. - Jana Korunovska, Sarah Spiekermann:
The Effects of Digitalization on Human Energy and Fatigue: A Review. - Karel Adámek, Sofia Dimoudi, Mike B. Giles, Wesley Armour:
GPU Fast Convolution via the Overlap-and-Save Method in Shared Memory. - Martin J. Kraemer, William Seymour, Reuben Binns, Max Van Kleek, Ivan Flechais:
Informing The Future of Data Protection in Smart Homes. - Raphael Kim, Stefan Poslad:
The Thing With E.coli: Highlighting Opportunities and Challenges of Integrating Bacteria in IoT and HCI. - EunJeong Cheon:
Alternative Vision of Living with IoT. - Mirzel Avdic, Jo Vermeulen:
Studying Breakdowns in Interactions with Smart Speakers. - Lei He, Arthur Guijt, Mathijs de Weerdt, Lining Xing, Neil Yorke-Smith:
Order Acceptance and Scheduling with Sequence-dependent Setup Times: a New Memetic Algorithm and Benchmark of the State of the Art. - Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov:
Detecting Deception in Political Debates Using Acoustic and Textual Features. - Felix Sattler, Klaus-Robert Müller, Wojciech Samek:
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints. - Zhen Huang, Tim Ng, Leo Liu, Henry Mason, Xiaodan Zhuang, Daben Liu:
SNDCNN: Self-normalizing deep CNNs with scaled exponential linear units for speech recognition. - Robert Kwiatkowski, Hod Lipson:
Zero Shot Learning on Simulated Robots. - Lukás Holík, Ondrej Lengál, Olli Saarikivi, Lenka Turonová, Margus Veanes, Tomás Vojnar:
Succinct Determinisation of Counting Automata via Sphere Construction (Technical Report). - Emanuel Trabes:
Dense monocular depth estimation by direct surfel optimization. - Robert M. Corless, Leili Rafiee Sevyeri:
Approximate GCD in a Bernstein basis. - Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov:
Predicting the Role of Political Trolls in Social Media. - Athanasios Kiatipis, Álvaro Brandón, Rizkallah Touma, Pierre Matri, Michal Zasadzinski, Linh Thuy Nhuyen, Adrien Lebre, Alexandru Costan:
A Survey of Benchmarks to Evaluate Data Analytics for Smart-* Applications. - Yi Liu, Jialiang Peng, James Jian Qiao Yu, Yi Wu:
PPGAN: Privacy-preserving Generative Adversarial Network. - Hao Wang, Zonghu Wang, Bin Zhang, Jun Zhou:
Information collection for fraud detection in P2P financial market. - Hao Wang:
Detection of fraudulent users in P2P financial market. - Simone Parisotto, Luca Calatroni, Aurélie Bugeau, Nicolas Papadakis, Carola-Bibiane Schönlieb:
Variational Osmosis for Non-linear Image Fusion. - Janis Stolzenwald, Walterio W. Mayol-Cuevas:
Reach Out and Help: Assisted Remote Collaboration through a Handheld Robot. - Himanshu Goyal, Pramit Saha, Bryan Gick, Sidney S. Fels:
EEG-to-F0: Establishing artificial neuro-muscular pathway for kinematics-based fundamental frequency control. - Viktor Zenkov, Jason Laska:
Dynamic data fusion using multi-input models for malware classification. - Ke Chen, Qin Li, Stephen J. Wright:
Schwarz iteration method for elliptic equation with rough media based on random sampling. - Seyed Mohammad Hosseini, Amir Hossein Jahangir, Mehdi Kazemi:
Digesting Network Traffic for Forensic Investigation Using Digital Signal Processing Techniques. - Pedro Casau, Christopher G. Mayhew, Ricardo G. Sanfelice, Carlos Silvestre:
Robust Global Exponential Stabilization on the n-Dimensional Sphere with Applications to Trajectory Tracking for Quadrotors. - Yunji Kim, Seonghyeon Nam, In Cho, Seon Joo Kim:
Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction. - Yifan Zhang, Giovanni Da San Martino, Alberto Barrón-Cedeño, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov:
Tanbih: Get To Know What You Are Reading. - Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool:
Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. - Shuai Zheng, Ahmed K. Farahat, Chetan Gupta:
Generative Adversarial Networks for Failure Prediction. - Shuai Zheng, Chetan Gupta, Susumu Serita:
Manufacturing Dispatching using Reinforcement and Transfer Learning. - Antoine Amarilli, Ismail Ilkan Ceylan:
A Dichotomy for Homomorphism-Closed Queries on Probabilistic Graphs. - Rui Guo, Dorien Herremans, Thor Magnusson:
Midi Miner - A Python library for tonal tension and track classification. - Samyam Rajbhandari, Jeff Rasley, Olatunji Ruwase, Yuxiong He:
ZeRO: Memory Optimization Towards Training A Trillion Parameter Models. - Hang Chu, Daiqing Li, David Acuna, Amlan Kar, Maria Shugrina, Xinkai Wei, Ming-Yu Liu, Antonio Torralba, Sanja Fidler:
Neural Turtle Graphics for Modeling City Road Layouts. - Giordano Da Lozzo, David Eppstein, Michael T. Goodrich, Siddharth Gupta:
C-Planarity Testing of Embedded Clustered Graphs with Bounded Dual Carving-Width. - Georgios Birmpas, Elias Koutsoupias, Philip Lazos, Francisco J. Marmolejo Cossío:
Fairness and Efficiency in DAG-based Cryptocurrencies. - Omid Poursaeed, Vladimir G. Kim, Eli Shechtman, Jun Saito, Serge J. Belongie:
Neural Puppet: Generative Layered Cartoon Characters. - Sayan Bhattacharya, Fabrizio Grandoni, Janardhan Kulkarni, Quanquan C. Liu, Shay Solomon:
Fully Dynamic (Δ+1)-Coloring in Constant Update Time. - Marek Laskowski, Henry M. Kim, Michael Zargham, Matt Barlin, Danil Kabanov:
Token Economics in Real-Life: Cryptocurrency and Incentives Design for Insolar Blockchain Network. - Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. - Selim Engin, Eric Mitchell, Daewon Lee, Volkan Isler, Daniel D. Lee:
Higher Order Function Networks for View Planning and Multi-View Reconstruction. - Mitra Mohtarami, James R. Glass, Preslav Nakov:
Contrastive Language Adaptation for Cross-Lingual Stance Detection. - Mathieu Seurin, Philippe Preux, Olivier Pietquin:
"I'm sorry Dave, I'm afraid I can't do that" Deep Q-learning from forbidden action. - Dixin Luo, Hongteng Xu, Lawrence Carin:
Fused Gromov-Wasserstein Alignment for Hawkes Processes. - Ofir Nachum, Heinrich Jiang:
Group-based Fair Learning Leads to Counter-intuitive Predictions. - Uri M. Ascher:
Discrete Processes and their Continuous Limits. - Abishek Sankararaman, Ayalvadi Ganesh, Sanjay Shakkottai:
Social Learning in Multi Agent Multi Armed Bandits. - Wenju Xu, Yuanwei Wu, Wenchi Ma, Guanghui Wang:
Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization. - Wenju Xu, Dongkyu Choi, Guanghui Wang:
Direct Visual-Inertial Odometry with Semi-Dense Mapping. - Tengfei Ma, Junyuan Shang, Cao Xiao, Jimeng Sun:
GENN: Predicting Correlated Drug-drug Interactions with Graph Energy Neural Networks. - Dianbo Liu, Timothy A. Miller, Kenneth D. Mandl:
Confederated Machine Learning on Horizontally and Vertically Separated Medical Data for Large-Scale Health System Intelligence. - David C. Del Rey Fernández, Mark H. Carpenter, Lisandro Dalcín, Stefano Zampini, Matteo Parsani:
Entropy Stable h/p-Nonconforming Discretization with the Summation-by-Parts Property for the Compressible Euler and Navier-Stokes Equations. - Rulin Shao, Hui Liu, Dianbo Liu:
Privacy Preserving Stochastic Channel-Based Federated Learning with Neural Network Pruning. - Ziheng Chen, Zhennan Zhou:
The Bayesian Inversion Problem for Thermal Average Sampling of Quantum Systems. - Binhang Yuan, Anastasios Kyrillidis, Christopher M. Jermaine:
Distributed Learning of Deep Neural Networks using Independent Subnet Training. - Édouard Bonnet, Sergio Cabello, Wolfgang Mulzer:
Maximum Matchings in Geometric Intersection Graphs. - John S. Hyatt, Michael S. Lee:
Requirements for Developing Robust Neural Networks. - Luca Remaggi, Philip J. B. Jackson, Wenwu Wang:
Modeling the Comb Filter Effect and Interaural Coherence for Binaural Source Separation. - Mahsa Ghasemi, Ufuk Topcu:
Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget. - Anusua Trivedi, Sumit Mukherjee, Edmund Tse, Anne Ewing, Juan Lavista Ferres:
Risks of Using Non-verified Open Data: A case study on using Machine Learning techniques for predicting Pregnancy Outcomes in India.