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ORCIDCoRR, June 2019
- Cassidy Laidlaw, Soheil Feizi:
Functional Adversarial Attacks. - Bryan O'Gorman:
Parameterization of tensor network contraction. - Heinrich Jiang, Maya R. Gupta:
Minimum-Margin Active Learning. - Rhys Beckett, Charith Perera:
IoT Skullfort: Exploring the Impact of Internet Connected Cosplay. - Andrzej Bedychaj, Przemyslaw Spurek, Lukasz Struski, Jacek Tabor:
Independent Component Analysis based on multiple data-weighting. - Elan Rosenfeld, Santosh S. Vempala, Manuel Blum:
Human-Usable Password Schemas: Beyond Information-Theoretic Security. - Stefano Cipolla, Carmine Di Fiore, Paolo Zellini:
A variation of Broyden Class methods using Householder adaptive transforms. - Stephanie M. Lukin
, Claire Bonial, Clare R. Voss:
Visual Understanding and Narration: A Deeper Understanding and Explanation of Visual Scenes. - Mohammadali Asadi, Alexander Brandt, Robert H. C. Moir, Marc Moreno Maza, Yuzhen Xie:
On the Parallelization of Triangular Decomposition of Polynomial Systems. - Li Deng, Shuo Zhang, Krisztian Balog:
Table2Vec: Neural Word and Entity Embeddings for Table Population and Retrieval. - Li-yao Xia, Yannick Zakowski, Paul He, Chung-Kil Hur, Gregory Malecha, Benjamin C. Pierce, Steve Zdancewic:
Interaction Trees: Representing Recursive and Impure Programs in Coq (Work In Progress). - Colin Cherry, George F. Foster:
Thinking Slow about Latency Evaluation for Simultaneous Machine Translation. - Kunal Swami, Kaushik Raghavan, Nikhilanj Pelluri, Rituparna Sarkar, Pankaj Bajpai:
DISCO: Depth Inference from Stereo using Context. - Amir Behjat, Krushang Gabani, Souma Chowdhury:
Training Detection-Range-Frugal Cooperative Collision Avoidance Models for Quadcopters via Neuroevolution. - FahimeSadat Mirhosseini, Andrea Pizzo, Luca Sanguinetti, Aliakbar Tadaion:
Spectral Efficiency Analysis in Dense Massive MIMO Networks. - Martin Klein, Lyudmila Balakireva, Harihar Shankar:
Evaluating Memento Service Optimizations. - Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon:
Optimized Score Transformation for Fair Classification. - Kenneth Marino, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi:
OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge. - Sangwoo Cho, Logan Lebanoff, Hassan Foroosh, Fei Liu:
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization. - Ruben Becker, Federico Corò, Gianlorenzo D'Angelo, Hugo Gilbert:
Balancing spreads of influence in a social network. - Yalin E. Sagduyu, Yi Shi, Tugba Erpek:
IoT Network Security from the Perspective of Adversarial Deep Learning. - Logan Lebanoff, Kaiqiang Song, Franck Dernoncourt, Doo Soon Kim, Seokhwan Kim, Walter Chang, Fei Liu:
Scoring Sentence Singletons and Pairs for Abstractive Summarization. - Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu:
Gmail Smart Compose: Real-Time Assisted Writing. - Muhammad A. Masood, Finale Doshi-Velez:
Diversity-Inducing Policy Gradient: Using Maximum Mean Discrepancy to Find a Set of Diverse Policies. - Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi, Jianyu Huang, Narayanan Sundaraman, Jongsoo Park, Xiaodong Wang, Udit Gupta, Carole-Jean Wu, Alisson G. Azzolini, Dmytro Dzhulgakov, Andrey Mallevich, Ilia Cherniavskii, Yinghai Lu, Raghuraman Krishnamoorthi, Ansha Yu, Volodymyr Kondratenko, Stephanie Pereira, Xianjie Chen, Wenlin Chen, Vijay Rao, Bill Jia, Liang Xiong, Misha Smelyanskiy:
Deep Learning Recommendation Model for Personalization and Recommendation Systems. - Luis G. Riera, Koray Ozcan, Jennifer Merickel, Matthew Rizzo, Soumik Sarkar, Anuj Sharma:
Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions. - Diab W. Abueidda, Mohammad Almasri, Rami Ammourah, Umberto Ravaioli, Iwona M. Jasiuk, Nahil A. Sobh:
Prediction and optimization of mechanical properties of composites using convolutional neural networks. - Bonggun Shin, Hao Yang, Jinho D. Choi:
The Pupil Has Become the Master: Teacher-Student Model-Based Word Embedding Distillation with Ensemble Learning. - Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. - Hao Wang, Linlin Zong, Bing Liu, Yan Yang, Wei Zhou:
Spectral Perturbation Meets Incomplete Multi-view Data. - Jeffrey M. Hokanson, Paul G. Constantine:
The Lipschitz Matrix: A Tool for Parameter Space Dimension Reduction. - Jakob Suchan, Mehul Bhatt, Srikrishna Varadarajan:
Out of Sight But Not Out of Mind: An Answer Set Programming Based Online Abduction Framework for Visual Sensemaking in Autonomous Driving. - Gautham Krishna Gudur, Prahalathan Sundaramoorthy, Venkatesh Umaashankar:
ActiveHARNet: Towards On-Device Deep Bayesian Active Learning for Human Activity Recognition. - Krishnendu Chatterjee, Laura Schmid, Stefan Schmid:
The Evolutionary Price of Anarchy: Locally Bounded Agents in a Dynamic Virus Game. - Armin Seyeditabari, Narges Tabari, Shafie Gholizadeh, Wlodek Zadrozny:
Emotional Embeddings: Refining Word Embeddings to Capture Emotional Content of Words. - Tomás Musil:
Examining Structure of Word Embeddings with PCA. - Amit Dhurandhar, Tejaswini Pedapati, Avinash Balakrishnan, Pin-Yu Chen, Karthikeyan Shanmugam, Ruchir Puri:
Model Agnostic Contrastive Explanations for Structured Data. - Hongfu Liu, Zhiqiang Tao, Zhengming Ding:
Consensus Clustering: An Embedding Perspective, Extension and Beyond. - Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, Chengqi Zhang:
Graph WaveNet for Deep Spatial-Temporal Graph Modeling. - Oskar Elek, Manu Mathew Thomas, Angus G. Forbes:
Learning Patterns in Sample Distributions for Monte Carlo Variance Reduction. - Søren Taverniers, Daniel M. Tartakovsky:
Estimation of distributions via multilevel Monte Carlo with stratified sampling. - Shinya Suzuki, Shion Takeno, Tomoyuki Tamura, Kazuki Shitara, Masayuki Karasuyama:
Multi-objective Bayesian Optimization using Pareto-frontier Entropy. - Boli Fang, Miao Jiang, Jerry Shen:
Achieving Fairness in Determining Medicaid Eligibility through Fairgroup Construction. - Arsh Javed Rehman, Pradeep Tomar:
Decision-Making in Reinforcement Learning. - Ziyu Jiang, Kate Von Ness, Julie Loisel, Zhangyang Wang:
ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands. - Titas Bera, M. Seetharama Bhat, Debasish Ghose:
Analysis of Obstacle based Probabilistic RoadMap Method using Geometric Probability. - Bahare Fatemi, Perouz Taslakian, David Vázquez, David Poole:
Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations. - Andrew Hoang, Antoine Bosselut, Asli Celikyilmaz, Yejin Choi:
Efficient Adaptation of Pretrained Transformers for Abstractive Summarization. - Zhengyang Shen, François-Xavier Vialard, Marc Niethammer:
Region-specific Diffeomorphic Metric Mapping. - Soroush Ebadian, Xin Huang:
Fast Algorithm for K-Truss Discovery on Public-Private Graphs. - Ilia Kulikov, Jason Lee, Kyunghyun Cho:
Multi-Turn Beam Search for Neural Dialogue Modeling. - Alexander Brandt, Davood Mohajerani, Marc Moreno Maza, Jeeva Paudel, Lin-Xiao Wang:
A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators. - Deepak Thukral, Adesh Pandey, Rishabh Gupta, Vikram Goyal, Tanmoy Chakraborty:
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering Services. - Qian Lou, Lei Jiang:
SHE: A Fast and Accurate Privacy-Preserving Deep Neural Network Via Leveled TFHE and Logarithmic Data Representation. - Joonyoung Yi, Juhyuk Lee, Sung Ju Hwang, Eunho Yang:
Sparsity Normalization: Stabilizing the Expected Outputs of Deep Networks. - Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu:
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems. - Dongrui Wu, Jerry M. Mendel:
Patch Learning. - Jian Liu, Naveed Akhtar, Ajmal Mian:
Temporally Coherent Full 3D Mesh Human Pose Recovery from Monocular Video. - Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik:
Synthesizing Datalog Programs Using Numerical Relaxation. - Saad Sajid Hashmi, Muhammad Ikram, Mohamed Ali Kâafar:
A Longitudinal Analysis of Online Ad-Blocking Blacklists. - Herilalaina Rakotoarison, Marc Schoenauer, Michèle Sebag:
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version). - Diego Calvanese, Davide Lanti, Ana Ozaki, Rafael Peñaloza, Guohui Xiao:
Enriching Ontology-based Data Access with Provenance (Extended Version). - Mathijs Mul, Willem H. Zuidema:
Siamese recurrent networks learn first-order logic reasoning and exhibit zero-shot compositional generalization. - Jianxin Lin, Yijun Wang, Yingce Xia, Tianyu He, Zhibo Chen:
Learning to Transfer: Unsupervised Meta Domain Translation. - Yansong Gao, Jie Zhang:
Average-case Analysis of the Assignment Problem with Independent Preferences. - Jianxin Lin, Yingce Xia, Sen Liu, Tao Qin, Zhibo Chen:
ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation. - Yong Liu, Xuehan Chen, Lin X. Cai, Qingchun Chen, Ruoting Gong, Dong Tang:
On the Fairness Performance of NOMA-based Wireless Powered Communication Networks. - Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama:
Are Anchor Points Really Indispensable in Label-Noise Learning? - Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls:
Neural Replicator Dynamics. - William S. Evans, Noushin Saeedi:
On problems related to crossing families. - Xi Zheng, Sheng Zhou, Zhiyuan Jiang, Zhisheng Niu:
Closed-Form Analysis of Non-Linear Age-of-Information in Status Updates with an Energy Harvesting Transmitter. - Mohammad Pirhooshyaran, Lawrence V. Snyder:
Multivariate, Multistep Forecasting, Reconstruction and Feature Selection of Ocean Waves via Recurrent and Sequence-to-Sequence Networks. - Antonio Brogi, Stefano Forti, Federica Paganelli:
Probabilistic QoS-aware Placement of VNF chains at the Edge. - Sid Ahmed Fezza, Yassine Bakhti, Wassim Hamidouche, Olivier Déforges:
Perceptual Evaluation of Adversarial Attacks for CNN-based Image Classification. - Iulia M. Comsa, Moritz Firsching, Thomas Fischbacher:
SO(8) Supergravity and the Magic of Machine Learning. - Khaled El Madawy, Hazem Rashed, Ahmad El Sallab, Omar Nasr, Hanan Kamel, Senthil Kumar Yogamani:
RGB and LiDAR fusion based 3D Semantic Segmentation for Autonomous Driving. - Tom Jurgenson, Aviv Tamar:
Harnessing Reinforcement Learning for Neural Motion Planning. - Duc Tam Nguyen, Thi-Phuong-Nhung Ngo, Zhongyu Lou, Michael Klar, Laura Beggel, Thomas Brox:
Robust Learning Under Label Noise With Iterative Noise-Filtering. - René Haberland, Kirill Krinkin, Sergey Ivanovskiy:
Abstract Predicate Entailment over Points-To Heaplets is Syntax Recognition. - Chuan-Chi Lai, Tien-Chun Wang, Chuan-Ming Liu, Li-Chun Wang:
Probabilistic Top-k Dominating Query Monitoring over Multiple Uncertain IoT Data Streams in Edge Computing Environments. - Weidong Mei, Rui Zhang:
Cooperative Downlink Interference Transmission and Cancellation for Cellular-Connected UAV: A Divide-and-Conquer Approach. - Davide Illiano, Iuliu Sorin Pop, Florin Adrian Radu:
Iterative schemes for surfactant transport in porous media. - Gangmuk Lim, Mohamed S. Hassan, Ze Jin, Stavros Volos, Myeongjae Jeon:
Approximate Quantiles for Datacenter Telemetry Monitoring. - Minghao Gu, Shiliang Sun:
Variational Langevin Hamiltonian Monte Carlo for Distant Multi-modal Sampling. - Rahul Singh, Maneesh Sahani, Arthur Gretton:
Kernel Instrumental Variable Regression. - Atreyee Kundu:
A new characterization of stabilizing cycles for switched linear systems. - Alon Rozental:
Adversarial Generation and Encoding of Nested Texts. - H. M. N. Dilum Bandara, Xiwei Xu, Ingo Weber:
Patterns for Blockchain Migration. - Yu Chen, Shahin Jabbari, Michael J. Kearns, Sanjeev Khanna, Jamie Morgenstern:
Network Formation under Random Attack and Probabilistic Spread. - Hong-Ning Dai, Zibin Zheng, Yan Zhang:
Blockchain for Internet of Things: A Survey. - Le Wu, Lei Chen, Yonghui Yang, Richang Hong, Yong Ge, Xing Xie, Meng Wang:
Personalized Multimedia Item and Key Frame Recommendation. - Junjie Huang, Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Maosong Sun:
COS960: A Chinese Word Similarity Dataset of 960 Word Pairs. - Christina Ilvento:
Metric Learning for Individual Fairness. - Ivan Kiskin, Udeepa Meepegama, Steven Roberts:
Super-resolution of Time-series Labels for Bootstrapped Event Detection. - Connie Kou, Hwee Kuan Lee, Teck Khim Ng, Ee-Chien Chang:
Enhancing Transformation-based Defenses using a Distribution Classifier. - Roi Livni, Yishay Mansour:
Graph-based Discriminators: Sample Complexity and Expressiveness. - Sedat Ozer:
Parametric Shape Modeling and Skeleton Extraction with Radial Basis Functions using Similarity Domains Network. - Yufei Wang, Mark Johnson, Stephen Wan, Yifang Sun, Wei Wang:
How to best use Syntax in Semantic Role Labelling. - Harsh Shrivastava, Xinshi Chen, Binghong Chen, Guanghui Lan, Srinivas Aluru, Le Song:
GLAD: Learning Sparse Graph Recovery. - Nabil Hossain, John Krumm, Michael Gamon:
"President Vows to Cut Hair": Dataset and Analysis of Creative Text Editing for Humorous Headlines. - Yinchuan Li, Xiaodong Wang, Zegang Ding:
Multi-dimensional Spectral Super-Resolution with Prior Knowledge via Frequency-Selective Vandermonde Decomposition and ADMM. - Joel Mathew, Shobeir Fakhraei, José Luis Ambite:
Biomedical Named Entity Recognition via Reference-Set Augmented Bootstrapping. - Chih-Yao Ma, Yannis Kalantidis, Ghassan AlRegib, Peter Vajda, Marcus Rohrbach, Zsolt Kira:
Learning to Generate Grounded Image Captions without Localization Supervision. - Ehsan Aryafar, Alireza Keshavarz-Haddad, Carlee Joe-Wong:
Proportional Fair RAT Aggregation in HetNets. - Ursula Challita, Kimmo Hiltunen, Miurel Tercero:
Performance Evaluation for the Co-existence of eMBB and URLLC Networks: Synchronized versus Unsynchronized TDD. - Saeed Masoudian, Ali Arabzadeh, Mahdi Jafari Siavoshani, Milad Jalal, Alireza Amouzad:
Adaptive Online Learning for Gradient-Based Optimizers. - Harsh Shrivastava, Eugene Bart, Bob Price, Hanjun Dai, Bo Dai, Srinivas Aluru:
Cooperative neural networks (CoNN): Exploiting prior independence structure for improved classification. - Róbert Busa-Fekete, Krzysztof Dembczynski, Alexander Golovnev, Kalina Jasinska, Mikhail Kuznetsov, Maxim Sviridenko, Chao Xu:
On the computational complexity of the probabilistic label tree algorithms. - Yao-Hung Hubert Tsai, Shaojie Bai, Paul Pu Liang, J. Zico Kolter, Louis-Philippe Morency, Ruslan Salakhutdinov:
Multimodal Transformer for Unaligned Multimodal Language Sequences. - Vassos Hadzilacos, Xing Hu, Sam Toueg:
Optimal Register Construction in M&M Systems. - Frances Ann Hubis, Wentao Wu, Ce Zhang:
Quantitative Overfitting Management for Human-in-the-loop ML Application Development with ease.ml/meter. - Kenton Lee, Ming-Wei Chang, Kristina Toutanova:
Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Yifan Sun, Yaqi Duan, Hao Gong, Mengdi Wang:
Learning low-dimensional state embeddings and metastable clusters from time series data. - Shubhanshu Shekhar, Mohammad Ghavamzadeh, Tara Javidi:
Active Learning for Binary Classification with Abstention. - Andrew Habib, Michael Pradel:
Neural Bug Finding: A Study of Opportunities and Challenges. - Andy Shih, Guy Van den Broeck, Paul Beame, Antoine Amarilli:
Smoothing Structured Decomposable Circuits. - Sinan Ariyurek, Aysu Betin-Can, Elif Sürer:
Automated Video Game Testing Using Synthetic and Human-Like Agents. - Matan Eyal, Tal Baumel, Michael Elhadad:
Question Answering as an Automatic Evaluation Metric for News Article Summarization. - Andrej Bogdanov, Nikhil S. Mande, Justin Thaler, Christopher Williamson:
Approximate degree, secret sharing, and concentration phenomena. - Pareesa Ameneh Golnari, Sharad Malik:
Sparse Matrix to Matrix Multiplication: A Representation and Architecture for Acceleration (long version). - (Withdrawn) Finite difference/spectral approximations for the two-dimensional time Caputo-Fabrizio fractional diffusion equation.
- Liuyu Xiang, Xiaoming Jin, Guiguang Ding, Jungong Han, Leida Li:
Incremental Few-Shot Learning for Pedestrian Attribute Recognition. - Tianyi Lin, Chi Jin, Michael I. Jordan:
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems. - Haekyu Park, Fred Hohman, Duen Horng Chau:
NeuralDivergence: Exploring and Understanding Neural Networks by Comparing Activation Distributions. - Christian Cosgrove, Alan L. Yuille:
Adversarial Examples for Edge Detection: They Exist, and They Transfer. - Alex Irpan, Xingyou Song:
The Principle of Unchanged Optimality in Reinforcement Learning Generalization. - Piotr Indyk, Ali Vakilian, Tal Wagner, David P. Woodruff:
Sample-Optimal Low-Rank Approximation of Distance Matrices. - Yixiang Fang, Kaiqiang Yu, Reynold Cheng, Laks V. S. Lakshmanan, Xuemin Lin:
Efficient Algorithms for Densest Subgraph Discovery. - Junyuan Shang, Tengfei Ma, Cao Xiao, Jimeng Sun:
Pre-training of Graph Augmented Transformers for Medication Recommendation. - Ronghang Hu, Daniel Fried, Anna Rohrbach, Dan Klein, Trevor Darrell, Kate Saenko:
Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation.