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CoRR, February 2019
- Isaac Lage, Emily Chen, Jeffrey He, Menaka Narayanan, Been Kim, Sam Gershman, Finale Doshi-Velez:
An Evaluation of the Human-Interpretability of Explanation. - Andreas Varga:
Descriptor system techniques and software tools. - Elena Botoeva, Carsten Lutz, Vladislav Ryzhikov, Frank Wolter, Michael Zakharyaschev:
Query Inseparability for ALC Ontologies. - Dimche Kostadinov, Behrooz Razdehi, Slava Voloshynovskiy:
Network Parameter Learning Using Nonlinear Transforms, Local Representation Goals and Local Propagation Constraints. - Denis S. Krotov:
On dual codes in the Doob schemes. - Denis S. Krotov, Vladimir N. Potapov:
On two-fold packings of radius-1 balls in Hamming graphs. - Christopher Baik, H. V. Jagadish, Yunyao Li:
Bridging the Semantic Gap with SQL Query Logs in Natural Language Interfaces to Databases. - Scott Gigante
, Jay S. Stanley III, Ngan Vu, David van Dijk, Kevin R. Moon, Guy Wolf, Smita Krishnaswamy:
Compressed Diffusion. - Hédi Ben-Younes, Rémi Cadène, Nicolas Thome, Matthieu Cord:
BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. - David Melhart, Ahmad Azadvar, Alessandro Canossa, Antonios Liapis, Georgios N. Yannakakis:
Your Gameplay Says it All: Modelling Motivation in Tom Clancy's The Division. - Ashok Deb, Luca Luceri, Adam Badawy, Emilio Ferrara:
Perils and Challenges of Social Media and Election Manipulation Analysis: The 2018 US Midterms. - Andrija Petrovic, Mladen Nikolic, Milos Jovanovic, Boris Delibasic:
Gaussian Conditional Random Fields for Classification. - Shuyi Shen, Bernardo A. Huberman, Lin Cheng, Gee-Kung Chang:
Power Loading based on Portfolio Theory for Densified Millimeter-Wave Small-Cell Communications. - Ahmad Alhilal, Salah Dowaji:
Base Station Distance Adaptive LEACH. - Michael D. Iannacone, Robert A. Bridges:
A Holistic Approach to Evaluating Cyber Security Defensive Capabilities. - Audrey Sedal, Alan Wineman, R. Brent Gillespie, C. David Remy:
Comparison and Experimental Validation of Predictive Models for Soft, Fiber-Reinforced Actuators. - Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers:
Probabilistic Discriminative Learning with Layered Graphical Models. - Justin Chan, Thomas Rea, Shyamnath Gollakota, Jacob E. Sunshine:
Contactless Cardiac Arrest Detection Using Smart Devices. - Pragathi Praveena, Guru Subramani, Bilge Mutlu, Michael Gleicher:
Characterizing Input Methods for Human-to-robot Demonstrations. - (Withdrawn) Learning Triggers for Heterogeneous Treatment Effects.
- Meixin Zhu
, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. - Emanuele Fabbiani
, Andrea Marziali, Giuseppe De Nicolao:
Short-term forecasting of Italian gas demand. - Emily Dinan, Varvara Logacheva, Valentin Malykh, Alexander H. Miller, Kurt Shuster
, Jack Urbanek, Douwe Kiela, Arthur Szlam, Iulian Serban, Ryan Lowe, Shrimai Prabhumoye, Alan W. Black, Alexander I. Rudnicky, Jason D. Williams, Joelle Pineau, Mikhail Burtsev, Jason Weston:
The Second Conversational Intelligence Challenge (ConvAI2). - Eric Clarkson:
Probability of Error for Detecting a Change in a Parameter, Total Variation of the Posterior Distribution, and Bayesian Fisher Information. - Kyle Luther, H. Sebastian Seung:
Learning Metric Graphs for Neuron Segmentation In Electron Microscopy Images. - Iago A. Carvalho:
On the statistical evaluation of algorithmic's computational experimentation with infeasible solutions. - Eric Clarkson:
The Relation Between Bayesian Fisher Information and Shannon Information for Detecting a Change in a Parameter. - Bo Wang, Hao Hu, Caixia Zhang:
Geometric Interpretation of side-sharing and point-sharing solutions in the P3P Problem. - Per Kristian Lehre, Dirk Sudholt:
Parallel Black-Box Complexity with Tail Bounds. - Yanni Georghiades, Steven Flolid, Sriram Vishwanath:
HashCore: Proof-of-Work Functions for General Purpose Processors. - Da Li, Jianshu Zhang, Yongxin Yang, Cong Liu, Yi-Zhe Song, Timothy M. Hospedales:
Episodic Training for Domain Generalization. - Kunal Relia, Zhengyi Li, Stephanie H. Cook, Rumi Chunara:
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities. - Felix Hill, Adam Santoro, David G. T. Barrett, Ari S. Morcos, Timothy P. Lillicrap:
Learning to Make Analogies by Contrasting Abstract Relational Structure. - Zhaoyang Xu, Faranak Sobhani, Carlos Fernández Moro, Qianni Zhang:
US-net for robust and efficient nuclei instance segmentation. - Amir Ahmad, Shehroz S. Khan:
A Novel Initial Clusters Generation Method for K-means-based Clustering Algorithms for Mixed Datasets. - C. Sinan Güntürk, Weilin Li:
High-performance quantization for spectral super-resolution. - Ryan Marcus, Olga Papaemmanouil:
Plan-Structured Deep Neural Network Models for Query Performance Prediction. - Rui Paiva, Eduardo Silva Palmeira, Regivan H. N. Santiago, Benjamín R. C. Bedregal:
Lattice-valued Overlap and Quasi-Overlap Functions. - Xiang Zhang, Nicholas Woolsey, Mingyue Ji:
Cache-aided Interference Management Using Hypercube Combinatorial Cache Designs. - Kyungjae Lee, Sungyub Kim, Sungbin Lim, Sungjoon Choi, Songhwai Oh:
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning. - Stefano Sarao Mannelli, Florent Krzakala, Pierfrancesco Urbani, Lenka Zdeborová:
Passed & Spurious: analysing descent algorithms and local minima in spiked matrix-tensor model. - Julien M. Hendrickx, Alex Olshevsky, Venkatesh Saligrama:
Graph Resistance and Learning from Pairwise Comparisons. - Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh:
Agnostic Federated Learning. - Amir Erfan Eshratifar, Amirhossein Esmaili, Massoud Pedram:
Towards Collaborative Intelligence Friendly Architectures for Deep Learning. - Hangjin Liu, Cynthia Rush, Dror Baron:
An Analysis of State Evolution for Approximate Message Passing with Side Information. - Bin Liu, Yue Cao, Mingsheng Long, Jianmin Wang, Jingdong Wang:
Deep Triplet Quantization. - Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. - Ulrik Lyngs, Kai Lukoff, Petr Slovák, Reuben Binns, Adam Slack, Michael Inzlicht, Max Van Kleek, Nigel Shadbolt:
Self-Control in Cyberspace: Applying Dual Systems Theory to a Review of Digital Self-Control Tools. - Angeline Aguinaldo, Ping-Yeh Chiang, Alexander Gain, Ameya Patil, Kolten Pearson, Soheil Feizi:
Compressing GANs using Knowledge Distillation. - Mengmi Zhang, Jiashi Feng, Karla Montejo, Joseph Kwon, Joo Hwee Lim, Gabriel Kreiman
:
Lift-the-Flap: Context Reasoning Using Object-Centered Graphs. - Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie:
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. - Minchul Kim, Jungwoo Lee:
Private Secure Coded Computation. - Aida Rahmattalabi, Anamika Barman-Adhikari, Phebe Vayanos, Milind Tambe, Eric Rice, Robin Baker:
Social Network Based Substance Abuse Prevention via Network Modification (A Preliminary Study). - Shikhar Vashishth, Prince Jain, Partha P. Talukdar:
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. - Kentaro Yoshioka, Edward Lee, Simon Wong, Mark Horowitz:
Dataset Culling: Towards Efficient Training Of Distillation-Based Domain Specific Models. - Tengyang Xie, Philip S. Thomas, Gerome Miklau:
Privacy Preserving Off-Policy Evaluation. - Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar:
Dating Documents using Graph Convolution Networks. - Dominique Beaini, Sofiane Achiche, Fabrice Nonez, Olivier Brochu Dufour, Cédric Leblond-Ménard, Mahdis Asaadi, Maxime Raison:
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution. - Ryan Spring
, Anastasios Kyrillidis, Vijai Mohan, Anshumali Shrivastava:
Compressing Gradient Optimizers via Count-Sketches. - Yash Chandak, Georgios Theocharous, James E. Kostas, Scott M. Jordan, Philip S. Thomas:
Learning Action Representations for Reinforcement Learning. - Wei Yang, Wei Lu, Vincent W. Zheng:
A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings. - Steven Jens Jorgensen, James Holley, Frank Mathis, Joshua S. Mehling, Luis Sentis:
Thermal Recovery of Multi-Limbed Robots with Electric Actuators. - Guangmo Tong:
Adaptive Influence Maximization under General Feedback Models. - Afshin Rahimi, Yuan Li, Trevor Cohn:
Multilingual NER Transfer for Low-resource Languages. - Lê Thành Dung Nguyên, Paolo Pistone, Thomas Seiller, Lorenzo Tortora de Falco:
Finite semantics of polymorphism, complexity and the power of type fixpoints. - Liao Wu, Ross Crawford, Jonathan Roberts:
Geometric interpretation of the general POE model for a serial-link robot via conversion into D-H parameterization. - Yiding Chen, Xiaojin Zhu:
Optimal Adversarial Attack on Autoregressive Models. - Matías R. Bender, Jean-Charles Faugère, Elias P. Tsigaridas:
Gr{ö}bner Basis over Semigroup Algebras: Algorithms and Applications for Sparse Polynomial Systems. - Ruihuan Du, Yu Zhong, Harikesh S. Nair, Bo Cui, Ruyang Shou:
Causally Driven Incremental Multi Touch Attribution Using a Recurrent Neural Network. - Katsuhito Nakashima, Diptarama Hendrian, Ryo Yoshinaka, Ayumi Shinohara:
Linear-size Suffix Tries for Parameterized Strings. - Siu-Wing Cheng, Man-Kwun Chiu, Kai Jin:
A note on self-improving sorting with hidden partitions. - Qiuyu Zhu, Ruixin Zhang:
A Classification Supervised Auto-Encoder Based on Predefined Evenly-Distributed Class Centroids. - Mladen Kovacevic
, Sanja Brdar, Vladimir S. Crnojevic:
Some Enumeration Problems in the Duplication-Loss Model of Genome Rearrangement. - Ibrahim Anka Salihu, Rosziati Ibrahim, Bestoun S. Ahmed, Kamal Z. Zamli, Asmau Usman:
AMOGA: A Static-Dynamic Model Generation Strategy for Mobile Apps Testing. - Yuval Bahat, Michal Irani, Gregory Shakhnarovich:
Natural and Adversarial Error Detection using Invariance to Image Transformations. - Terry Shue Chien Lau, Chik How Tan:
Key Recovery Attack on Rank Quasi-Cyclic Code-based Signature Scheme. - Fan Wang, Xiaomin Fang, Lihang Liu, Yaxue Chen, Jiucheng Tao, Zhiming Peng, Cihang Jin, Hao Tian:
Sequential Evaluation and Generation Framework for Combinatorial Recommender System. - Anselm Haak, Juha Kontinen
, Fabian Müller, Heribert Vollmer, Fan Yang
:
Counting of Teams in First-Order Team Logics. - Christos Kaplanis, Murray Shanahan, Claudia Clopath:
Policy Consolidation for Continual Reinforcement Learning. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
The Application of Bipartite Matching in Assignment Problem. - Feiyang Chen, Nan Chen, Hanyang Mao, Hanlin Hu:
An efficient sorting algorithm - Ultimate Heapsort(UHS). - Shreyank N. Gowda, Chun Yuan:
ColorNet: Investigating the importance of color spaces for image classification. - Antonio Mazza, Francescopaolo Sica:
Deep Learning Solutions for TanDEM-X-based Forest Classification. - Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel:
Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design. - Héctor García de Marina, Ewoud J. J. Smeur:
Flexible collaborative transportation by a team of rotorcraft. - Jeroen Berrevoets, Wouter Verbeke:
Causal Simulations for Uplift Modeling. - Bert De Brabandere, Wouter Van Gansbeke, Davy Neven, Marc Proesmans, Luc Van Gool:
End-to-end Lane Detection through Differentiable Least-Squares Fitting. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
Probabilistic Gathering Of Agents With Simple Sensors. - Ambrus Kaposi, András Kovács:
Signatures and Induction Principles for Higher Inductive-Inductive Types. - Oleksii Sidorov, Jon Yngve Hardeberg:
Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution. - Benjamin Doerr, Carola Doerr, Frank Neumann:
Fast Re-Optimization via Structural Diversity. - Oleksii Sidorov, Congcong Wang, Faouzi Alaya Cheikh:
Generative Smoke Removal. - Yuanzhi Liang, Yalong Bai, Wei Zhang, Xueming Qian, Li Zhu, Tao Mei:
Rethinking Visual Relationships for High-level Image Understanding. - Gregor Ulm, Emil Gustavsson, Mats Jirstrand:
OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles. - Seyed Ali Ossia, Borzoo Rassouli, Hamed Haddadi, Hamid R. Rabiee, Deniz Gündüz:
Privacy Against Brute-Force Inference Attacks. - Zheng Fang, Yanan Cao, Dongjie Zhang, Qian Li, Zhenyu Zhang, Yanbing Liu:
Joint Entity Linking with Deep Reinforcement Learning. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Paschalis C. Sofotasios, Sami Muhaidat, Naofal Al-Dhahir:
Opportunistic Ambient Backscatter Communication in RF-Powered Cognitive Radio Networks. - Aythami Morales, Julian Fiérrez, Rubén Vera-Rodríguez:
SensitiveNets: Learning Agnostic Representations with Application to Face Recognition. - Anastasia Koloskova, Sebastian U. Stich, Martin Jaggi:
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication. - Shuang Zheng, Jing Yang, Xiaohu Ge, Yonghui Li, Lin Tian, Jinglin Shi:
Energy Efficiency of Generalized Spatial Modulation Aided Massive MIMO Systems. - Christoph Angermann, Markus Haltmeier, Ruth Steiger, Sergiy Pereverzyev Jr., Elke Ruth Gizewski
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Projection-Based 2.5D U-net Architecture for Fast Volumetric Segmentation. - Li Xiao, Yijie Peng, L. Jeff Hong, Zewu Ke:
Training Artificial Neural Networks by Generalized Likelihood Ratio Method: Exploring Brain-like Learning to Improve Adversarial Defensiveness. - Luiz Pessoa:
Intelligent architectures for robotics: The merging of cognition and emotion. - Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan:
The Generation and Application of Medical Image Grid Based on Differential Geometric Features. - Rajalekshmi Kishore, Sanjeev Gurugopinath, Sami Muhaidat, Paschalis C. Sofotasios, Octavia A. Dobre, Naofal Al-Dhahir:
Sensing-Throughput Tradeoff for Superior Selective Reporting-based Spectrum Sensing in Energy Harvesting HCRNs. - Benjamin Paaßen
, Astrid Bunge, Carolin Hainke, Leon Sindelar, Matthias Vogelsang:
Dynamic fairness - Breaking vicious cycles in automatic decision making. - Yash Patel, Lluís Gómez, Marçal Rusiñol, Dimosthenis Karatzas, C. V. Jawahar:
Self-Supervised Visual Representations for Cross-Modal Retrieval. - Chaochao Li, Pei Lv, Dinesh Manocha, Hua Wang, Yafei Li, Bing Zhou, Mingliang Xu:
ACSEE: Antagonistic Crowd Simulation model with Emotional contagion and Evolutionary game. - Shengcao Cao, Xiaofang Wang, Kris M. Kitani:
Learnable Embedding Space for Efficient Neural Architecture Compression. - Ariel Barel, Rotem Manor, Alfred M. Bruckstein:
On Steering Swarms. - Salvatore D'Oro, Francesco Restuccia, Alessandro Talamonti, Tommaso Melodia:
The Slice Is Served: Enforcing Radio Access Network Slicing in Virtualized 5G Systems. - Ghanem Soltana, Mehrdad Sabetzadeh, Lionel C. Briand:
Practical Model-driven Data Generation for System Testing. - Sahil Singla, Eric Wallace, Shi Feng, Soheil Feizi:
Understanding Impacts of High-Order Loss Approximations and Features in Deep Learning Interpretation. - Gurudutt Hosangadi, Dandan Wang, Anil Rao:
System Design Considerations For Internet Of Things (IoT) With Category-M Devices In LTE Networks. - Yogesh Balaji, Rama Chellappa, Soheil Feizi:
Normalized Wasserstein Distance for Mixture Distributions with Applications in Adversarial Learning and Domain Adaptation. - Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. - Soheil Kolouri, Kimia Nadjahi, Umut Simsekli, Roland Badeau, Gustavo K. Rohde:
Generalized Sliced Wasserstein Distances. - Luca Aceto, Antonis Achilleos, Adrian Francalanza, Anna Ingólfsdóttir, Karoliina Lehtinen
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Adventures in Monitorability: From Branching to Linear Time and Back Again. - Blaz Skrlj, Matej Martinc, Jan Kralj, Nada Lavrac, Senja Pollak:
tax2vec: Constructing Interpretable Features from Taxonomies for Short Text Classification. - Ioana Bica, Ahmed M. Alaa, Mihaela van der Schaar:
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders. - Indranil Chakraborty, Deboleena Roy, Aayush Ankit, Kaushik Roy:
Efficient Hybrid Network Architectures for Extremely Quantized Neural Networks Enabling Intelligence at the Edge. - Peter Buchlovsky, David Budden, Dominik Grewe, Chris Jones, John Aslanides, Frederic Besse, Andy Brock, Aidan Clark, Sergio Gomez Colmenarejo, Aedan Pope, Fabio Viola, Dan Belov:
TF-Replicator: Distributed Machine Learning for Researchers. - Tor Lattimore, Csaba Szepesvári:
An Information-Theoretic Approach to Minimax Regret in Partial Monitoring. - André Mateus, Omar Tahri, Pedro Miraldo:
Active Estimation of 3D Lines in Spherical Coordinates. - Artem Lutov, Mourad Khayati, Philippe Cudré-Mauroux:
Clubmark: a Parallel Isolation Framework for Benchmarking and Profiling Clustering Algorithms on NUMA Architectures. - Sen Chen, Lingling Fan, Chunyang Chen, Ting Su, Wenhe Li, Yang Liu, Lihua Xu:
StoryDroid: Automated Generation of Storyboard for Android Apps. - Ghasem Pasandi, Shahin Nazarian, Massoud Pedram:
Approximate Logic Synthesis: A Reinforcement Learning-Based Technology Mapping Approach. - Ghasem Pasandi, Raghav Mehta, Massoud Pedram, Shahin Nazarian:
Hybrid Cell Assignment and Sizing for Power, Area, Delay Product Optimization of SRAM Arrays. - Dongfang Yang, Linhui Li, Keith A. Redmill, Ümit Özgüner:
Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus. - Rahul Jain, Raghunath Tewari:
Grid Graph Reachability. - Abram Handler, Brian Dillon, Brendan O'Connor:
Human acceptability judgements for extractive sentence compression. - Sneha Kudugunta, Vaibhav B. Sinha, Adepu Ravi Sankar, Surya Teja Chavali, Purushottam Kar, Vineeth N. Balasubramanian:
DANTE: Deep AlterNations for Training nEural networks. - Arul Mishra, Himanshu Mishra, Shelly Rathee:
Examining the Presence of Gender Bias in Customer Reviews Using Word Embedding. - Aseem R. Baranwal, Jeffrey O. Shallit:
Critical exponent of infinite balanced words via the Pell number system.