All paper pages
28734 retained paper pages. Page 103 of 288.
- Kinetic Song Comprehension: Deciphering Personal Listening Habits via Phone Vibrations
Richard Matovu, Isaac Griswold-Steiner, Abdul Serwadda · 2019
- Bayesian Optimisation with Gaussian Processes for Premise Selection
Agnieszka Słowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson · 2019
- Experimenting with Constraint Programming on GPU
Fabio Tardivo · 2019
- Non-Bayesian Social Learning with Uncertain Models
James Z. Hare, Cesar A. Uribe, Lance Kaplan, Ali Jadbabaie · 2019
- Intelligent Policing Strategy for Traffic Violation Prevention
Monireh Dabaghchian, Amir Alipour-Fanid, Kai Zeng · 2019
- Meta-Inverse Reinforcement Learning with Probabilistic Context Variables
Lantao Yu, Tianhe Yu, Chelsea Finn, Stefano Ermon · 2019
- FACE: Feasible and Actionable Counterfactual Explanations
Rafael Poyiadzi, Kacper Sokol, Raul Santos-Rodriguez, Tijl De Bie, Peter Flach · 2019
- AIBA: An AI Model for Behavior Arbitration in Autonomous Driving
Bogdan Trasnea, Claudiu Pozna, Sorin Grigorescu · 2019
- CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
Hamel Husain, Ho-Hsiang Wu, Tiferet Gazit, Miltiadis Allamanis, Marc Brockschmidt · 2019
- Memory Management in Resource-Bounded Agents
Valentina Pitoni · 2019
- Controlling Assistive Robots with Learned Latent Actions
Dylan P. Losey, Krishnan Srinivasan, Ajay Mandlekar, Animesh Garg, Dorsa Sadigh · 2019
- HEAX: An Architecture for Computing on Encrypted Data
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai · 2019
- IoT Inspector: Crowdsourcing Labeled Network Traffic from Smart Home Devices at Scale
Danny Yuxing Huang, Noah Apthorpe, Gunes Acar, Frank Li, Nick Feamster · 2019
- A Multilayer Network Approach to Quantum Computing
Perry Sakkaris, Ryan Sudhakaran · 2019
- Leveraging Human Guidance for Deep Reinforcement Learning Tasks
Ruohan Zhang, Faraz Torabi, Lin Guan, Dana H. Ballard, Peter Stone · 2019
- On Controlled DeEntanglement for Natural Language Processing
SaiKrishna Rallabandi · 2019
- LoGANv2: Conditional Style-Based Logo Generation with Generative Adversarial Networks
Cedric Oeldorf, Gerasimos Spanakis · 2019
- Improving Quality and Efficiency in Plan-based Neural Data-to-Text Generation
Amit Moryossef, Ido Dagan, Yoav Goldberg · 2019
- LuNet: A Deep Neural Network for Network Intrusion Detection
Peilun Wu, Hui Guo · 2019
- A new coefficient of correlation
Sourav Chatterjee · 2019
- Verified Uncertainty Calibration
Ananya Kumar, Percy Liang, Tengyu Ma · 2019
- Automated Chess Commentator Powered by Neural Chess Engine
Hongyu Zang, Zhiwei Yu, Xiaojun Wan · 2019
- Learning Dense Representations for Entity Retrieval
Daniel Gillick, Sayali Kulkarni, Larry Lansing, Alessandro Presta, Jason Baldridge, Eugene Ie, Diego Garcia-Olano · 2019
- Hypernym Detection Using Strict Partial Order Networks
Sarthak Dash, Md Faisal Mahbub Chowdhury, Alfio Gliozzo, Nandana Mihindukulasooriya, Nicolas Rodolfo Fauceglia · 2019
- Why Does Hierarchy (Sometimes) Work So Well in Reinforcement Learning?
Ofir Nachum, Haoran Tang, Xingyu Lu, Shixiang Gu, Honglak Lee, Sergey Levine · 2019
- Compiling Stochastic Constraint Programs to And-Or Decision Diagrams
Behrouz Babaki, Golnoosh Farnadi, Gilles Pesant · 2019
- Do Massively Pretrained Language Models Make Better Storytellers?
Abigail See, Aneesh Pappu, Rohun Saxena, Akhila Yerukola, Christopher D. Manning · 2019
- Situating Sentence Embedders with Nearest Neighbor Overlap
Lucy H. Lin, Noah A. Smith · 2019
- Talk2Car: Taking Control of Your Self-Driving Car
Thierry Deruyttere, Simon Vandenhende, Dusan Grujicic, Luc Van Gool, Marie-Francine Moens · 2019
- Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann, Shagun Sodhani, Sergey Levine, Yoshua Bengio, Bernhard Schölkopf · 2019
- What if Planet 9 is a Primordial Black Hole?
Jakub Scholtz, James Unwin · 2019
- Exascale Deep Learning for Scientific Inverse Problems
Nouamane Laanait, Joshua Romero, Junqi Yin, M. Todd Young, Sean Treichler, Vitalii Starchenko, Albina Borisevich, Alex Sergeev, Michael Matheson · 2019
- Ethical Hacking for IoT Security: A First Look into Bug Bounty Programs and Responsible Disclosure
Aaron Yi Ding, Gianluca Limon De Jesus, Marijn Janssen · 2019
- Active Goal Recognition
Christopher Amato, Andrea Baisero · 2019
- Avoidance Learning Using Observational Reinforcement Learning
David Venuto, Leonard Boussioux, Junhao Wang, Rola Dali, Jhelum Chakravorty, Yoshua Bengio, Doina Precup · 2019
- Neighborhood-Enhanced and Time-Aware Model for Session-based Recommendation
Yang Lv, Liangsheng Zhuang, Pengyu Luo · 2019
- PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space
Omer Anjum, Hongyu Gong, Suma Bhat, Wen-Mei Hwu, Jinjun Xiong · 2019
- Practical Low Latency Proof of Work Consensus
Lei Yang, Xuechao Wang, Vivek Bagaria, Gerui Wang, Mohammad Alizadeh, David Tse, Giulia Fanti, Pramod Viswanath · 2019
- Question Answering is a Format; When is it Useful?
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min · 2019
- Multi-task Batch Reinforcement Learning with Metric Learning
Jiachen Li, Quan Vuong, Shuang Liu, Minghua Liu, Kamil Ciosek, Keith Ross, Henrik Iskov Christensen, Hao Su · 2019
- Software Engineering Meets Deep Learning: A Mapping Study
Fabio Ferreira, Luciana Lourdes Silva, Marco Tulio Valente · 2019
- Synthetic Data for Deep Learning
Sergey I. Nikolenko · 2019
- Off-Policy Actor-Critic with Shared Experience Replay
Simon Schmitt, Matteo Hessel, Karen Simonyan · 2019
- Interpreting Knowledge Graph Relation Representation from Word Embeddings
Carl Allen, Ivana Balažević, Timothy Hospedales · 2019
- ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots
Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar · 2019
- Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi, Kurt Konoglie, Sergey Levine, Vikash Kumar · 2019
- Extremely Small BERT Models from Mixed-Vocabulary Training
Sanqiang Zhao, Raghav Gupta, Yang Song, Denny Zhou · 2019
- On the Expressiveness of LARA: A Unified Language for Linear and Relational Algebra
Pablo Barceló, Nelson Higuera, Jorge Pérez, Bernardo Subercaseaux · 2019
- Speech Recognition with Augmented Synthesized Speech
Andrew Rosenberg, Yu Zhang, Bhuvana Ramabhadran, Ye Jia, Pedro Moreno, Yonghui Wu, Zelin Wu · 2019
- A generic framework for task selection driven by synthetic emotions
Claudius Gros · 2019
- FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu, Yu Cheng, Zhe Gan, Siqi Sun, Tom Goldstein, Jingjing Liu · 2019
- DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
Adam Rupe, Nalini Kumar, Vladislav Epifanov, Karthik Kashinath, Oleksandr Pavlyk, Frank Schlimbach, Mostofa Patwary, Sergey Maidanov, Victor Lee, Prabhat, James P. Crutchfield · 2019
- Unsupervised Domain Adaptation through Self-Supervision
Yu Sun, Eric Tzeng, Trevor Darrell, Alexei A. Efros · 2019
- SIM: A Slot-Independent Neural Model for Dialogue State Tracking
Chenguang Zhu, Michael Zeng, Xuedong Huang · 2019
- Efficient Large-Scale Multi-Drone Delivery Using Transit Networks
Shushman Choudhury, Kiril Solovey, Mykel J. Kochenderfer, Marco Pavone · 2019
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Wei Yang Bryan Lim, Nguyen Cong Luong, Dinh Thai Hoang, Yutao Jiao, Ying-Chang Liang, Qiang Yang, Dusit Niyato, Chunyan Miao · 2019
- Fine-tune Bert for DocRED with Two-step Process
Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, William Wang · 2019
- ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut · 2019
- $λ$-NIC: Interactive Serverless Compute on Programmable SmartNICs
Sean Choi, Muhammad Shahbaz, Balaji Prabhakar, Mendel Rosenblum · 2019
- Low-Resource Response Generation with Template Prior
Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li · 2019
- Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Ze Yang, Can Xu, Wei Wu, Zhoujun Li · 2019
- Spoken Conversational Search for General Knowledge
Lina M. Rojas-Barahona, Pascal Bellec, Benoit Besset, Martinho Dos-Santos, Johannes Heinecke, Munshi Asadullah, Olivier Le-Blouch, Jean Y. Lancien, Géraldine Damnati, Emmanuel Mory, Frédéric Herledan · 2019
- Query Optimization Properties of Modified VBS
Mieczysław A. Kłopotek, Sławomir T. Wierzchoń · 2019
- Artificial Intelligence BlockCloud (AIBC) Technical Whitepaper
Qi Deng · 2019
- Towards Explainable Artificial Intelligence
Wojciech Samek, Klaus-Robert Müller · 2019
- Improving Fine-grained Entity Typing with Entity Linking
Hongliang Dai, Donghong Du, Xin Li, Yangqiu Song · 2019
- Box Covers and Domain Orderings for Beyond Worst-Case Join Processing
Kaleb Alway, Eric Blais, Semih Salihoglu · 2019
- Action Selection for MDPs: Anytime AO* vs. UCT
Blai Bonet, Hector Geffner · 2019
- MinWikiSplit: A Sentence Splitting Corpus with Minimal Propositions
Christina Niklaus, Andre Freitas, Siegfried Handschuh · 2019
- Generalized Planning: Non-Deterministic Abstractions and Trajectory Constraints
Blai Bonet, Giuseppe De Giacomo, Hector Geffner, Sasha Rubin · 2019
- Higher-Dimensional Potential Heuristics for Optimal Classical Planning
Florian Pommerening, Malte Helmert, Blai Bonet · 2019
- Detection of CN gas in Interstellar Object 2I/Borisov
Alan Fitzsimmons, Olivier Hainaut, Karen Meech, Emmanuel Jehin, Youssef Moulane, Cyrielle Opitom, Bin Yang, Jacqueline V. Keane, Jan T. Kleyna, Marco Micheli, Colin Snodgrass · 2019
- Superintelligence Safety: A Requirements Engineering Perspective
Hermann Kaindl, Jonas Ferdigg · 2019
- Memories of my early career in relativity physics
Andrzej Trautman, Donald Salisbury · 2019
- Scaling data-driven robotics with reward sketching and batch reinforcement learning
Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang · 2019
- New Attacks and Defenses for Randomized Caches
Kartik Ramkrishnan, Antonia Zhai, Stephen McCamant, Pen Chung Yew · 2019
- Rethinking Text Attribute Transfer: A Lexical Analysis
Yao Fu, Hao Zhou, Jiaze Chen, Lei Li · 2019
- Overparameterized Neural Networks Implement Associative Memory
Adityanarayanan Radhakrishnan, Mikhail Belkin, Caroline Uhler · 2019
- Monotonic Multihead Attention
Xutai Ma, Juan Pino, James Cross, Liezl Puzon, Jiatao Gu · 2019
- Optimizing Speech Recognition For The Edge
Yuan Shangguan, Jian Li, Qiao Liang, Raziel Alvarez, Ian McGraw · 2019
- Improving RNN Transducer Modeling for End-to-End Speech Recognition
Jinyu Li, Rui Zhao, Hu Hu, Yifan Gong · 2019
- A Re-classification of Information Seeking Tasks and Their Computational Solutions
Zhiwen Tang, Grace Hui Yang · 2019
- Playing Atari Ball Games with Hierarchical Reinforcement Learning
Hua Huang, Adrian Barbu · 2019
- A Unified Finite Strain Theory for Membranes and Ropes
Thomas-Peter Fries, Daniel Schöllhammer · 2019
- Hamiltonian Graph Networks with ODE Integrators
Alvaro Sanchez-Gonzalez, Victor Bapst, Kyle Cranmer, Peter Battaglia · 2019
- Interactive Decision Making for Autonomous Vehicles in Dense Traffic
David Isele · 2019
- Information Closure Theory of Consciousness
Acer Y. C. Chang, Martin Biehl, Yen Yu, Ryota Kanai · 2019
- Regression Planning Networks
Danfei Xu, Roberto Martín-Martín, De-An Huang, Yuke Zhu, Silvio Savarese, Li Fei-Fei · 2019
- Deep K-SVD Denoising
Meyer Scetbon, Michael Elad, Peyman Milanfar · 2019
- Towards Zero-resource Cross-lingual Entity Linking
Shuyan Zhou, Shruti Rijhwani, Graham Neubig · 2019
- The Social and Psychological Impact of Cyber-Attacks
Maria Bada, Jason R. C. Nurse · 2019
- Gradient Descent: The Ultimate Optimizer
Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer · 2019
- CSPLib: Twenty Years On
Ian Gent, Toby Walsh · 2019
- Oblique Decision Trees from Derivatives of ReLU Networks
Guang-He Lee, Tommi S. Jaakkola · 2019
- Interpretations are useful: penalizing explanations to align neural networks with prior knowledge
Laura Rieger, Chandan Singh, W. James Murdoch, Bin Yu · 2019
- NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning
Ameer Haj-Ali, Nesreen K. Ahmed, Ted Willke, Sophia Shao, Krste Asanovic, Ion Stoica · 2019
- RandAugment: Practical automated data augmentation with a reduced search space
Ekin D. Cubuk, Barret Zoph, Jonathon Shlens, Quoc V. Le · 2019
- Backpropagation in the Simply Typed Lambda-calculus with Linear Negation
Alois Brunel, Damiano Mazza, Michele Pagani · 2019
- Hamiltonian Generative Networks
Peter Toth, Danilo Jimenez Rezende, Andrew Jaegle, Sébastien Racanière, Aleksandar Botev, Irina Higgins · 2019
- Saturn atmospheric dynamics one year after Cassini: Long-lived features and time variations in the drift of the Hexagon
R. Hueso, A. Sánchez-Lavega, J. F. Rojas, A. A. Simon, T. Barry, T. del Río-Gaztelurrutia, A. Antuñano, K. M. Sayanagi, M. Delcroix, L. N. Fletcher, E. García-Melendo, S. Pérez-Hoyos, J. Blalock, F. Colas, J. M. Gómez-Forrellad, J. L. Gunnarson, D. Peach, M. H. Wong · 2019