All paper pages
28734 retained paper pages. Page 91 of 288.
- The tradeoff between the utility and risk of location data and implications for public good
Dana Calacci, Alex Berke, Kent Larson, Alex, Pentland · 2019
- Hey Google, What Exactly Do Your Security Patches Tell Us? A Large-Scale Empirical Study on Android Patched Vulnerabilities
Sadegh Farhang, Mehmet Bahadir Kirdan, Aron Laszka, Jens Grossklags · 2019
- Learning to Prove Theorems via Interacting with Proof Assistants
Kaiyu Yang, Jia Deng · 2019
- Cognitive Model Priors for Predicting Human Decisions
David D. Bourgin, Joshua C. Peterson, Daniel Reichman, Thomas L. Griffiths, Stuart J. Russell · 2019
- Atlantic Causal Inference Conference (ACIC) Data Analysis Challenge 2017
P. Richard Hahn, Vincent Dorie, Jared S. Murray · 2019
- Beyond Cookie Monster Amnesia: Real World Persistent Online Tracking
Nasser Mohammed Al-Fannah, Wanpeng Li, Chris J Mitchell · 2019
- The Convolutional Tsetlin Machine
Ole-Christoffer Granmo, Sondre Glimsdal, Lei Jiao, Morten Goodwin, Christian W. Omlin, Geir Thore Berge · 2019
- How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits
Craig Gidney, Martin Ekerå · 2019
- Speech2Face: Learning the Face Behind a Voice
Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik · 2019
- Uplifting AdS3/CFT2 to Flat Space Holography
Adam Ball, Elizabeth Himwich, Sruthi A. Narayanan, Sabrina Pasterski, Andrew Strominger · 2019
- In-DRAM Bulk Bitwise Execution Engine
Vivek Seshadri, Onur Mutlu · 2019
- Fair is Better than Sensational:Man is to Doctor as Woman is to Doctor
Malvina Nissim, Rik van Noord, Rob van der Goot · 2019
- Training language GANs from Scratch
Cyprien de Masson d'Autume, Mihaela Rosca, Jack Rae, Shakir Mohamed · 2019
- Precipitation Nowcasting with Satellite Imagery
Vadim Lebedev, Vladimir Ivashkin, Irina Rudenko, Alexander Ganshin, Alexander Molchanov, Sergey Ovcharenko, Ruslan Grokhovetskiy, Ivan Bushmarinov, Dmitry Solomentsev · 2019
- Generative Adversarial Networks for Mitigating Biases in Machine Learning Systems
Adel Abusitta, Esma Aïmeur, Omar Abdel Wahab · 2019
- Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Sharan Vaswani, Aaron Mishkin, Issam Laradji, Mark Schmidt, Gauthier Gidel, Simon Lacoste-Julien · 2019
- Graph Representations for Higher-Order Logic and Theorem Proving
Aditya Paliwal, Sarah Loos, Markus Rabe, Kshitij Bansal, Christian Szegedy · 2019
- Flow-based Intrinsic Curiosity Module
Hsuan-Kung Yang, Po-Han Chiang, Min-Fong Hong, Chun-Yi Lee · 2019
- From Here to There: Video Inbetweening Using Direct 3D Convolutions
Yunpeng Li, Dominik Roblek, Marco Tagliasacchi · 2019
- An Explicitly Relational Neural Network Architecture
Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo · 2019
- SpecFuzz: Bringing Spectre-type vulnerabilities to the surface
Oleksii Oleksenko, Bohdan Trach, Mark Silberstein, Christof Fetzer · 2019
- Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin F. Yang, Mengdi Wang · 2019
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
Boris N. Oreshkin, Dmitri Carpov, Nicolas Chapados, Yoshua Bengio · 2019
- Cold Case: The Lost MNIST Digits
Chhavi Yadav, Léon Bottou · 2019
- Bandwidth-Efficient Transaction Relay for Bitcoin
Gleb Naumenko, Gregory Maxwell, Pieter Wuille, Alexandra Fedorova, Ivan Beschastnikh · 2019
- Reconstructing faces from voices
Yandong Wen, Rita Singh, Bhiksha Raj · 2019
- Adversarial Policies: Attacking Deep Reinforcement Learning
Adam Gleave, Michael Dennis, Cody Wild, Neel Kant, Sergey Levine, Stuart Russell · 2019
- Are Sixteen Heads Really Better than One?
Paul Michel, Omer Levy, Graham Neubig · 2019
- Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators
Alexander Tong, Guy Wolf, Smita Krishnaswamy · 2019
- Disentangling Style and Content in Anime Illustrations
Sitao Xiang, Hao Li · 2019
- FPC-BI: Fast Probabilistic Consensus within Byzantine Infrastructures
Serguei Popov, William J Buchanan · 2019
- Explainable Reinforcement Learning Through a Causal Lens
Prashan Madumal, Tim Miller, Liz Sonenberg, Frank Vetere · 2019
- AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence
Jeff Clune · 2019
- Natural Compression for Distributed Deep Learning
Samuel Horvath, Chen-Yu Ho, Ludovit Horvath, Atal Narayan Sahu, Marco Canini, Peter Richtarik · 2019
- SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards
Siddharth Reddy, Anca D. Dragan, Sergey Levine · 2019
- Brown Dwarf Atmospheres as the Potentially Most Detectable and Abundant Sites for Life
Manasvi Lingam, Abraham Loeb · 2019
- AI Feynman: a Physics-Inspired Method for Symbolic Regression
Silviu-Marian Udrescu, Max Tegmark · 2019
- Overlearning Reveals Sensitive Attributes
Congzheng Song, Vitaly Shmatikov · 2019
- Putting An End to End-to-End: Gradient-Isolated Learning of Representations
Sindy Löwe, Peter O'Connor, Bastiaan S. Veeling · 2019
- Hydras and IPFS: A Decentralised Playground for Malware
Constantinos Patsakis, Fran Casino · 2019
- Differentiable Ranks and Sorting using Optimal Transport
Marco Cuturi, Olivier Teboul, Jean-Philippe Vert · 2019
- Selecting the Metric in Hamiltonian Monte Carlo
Ben Bales, Arya Pourzanjani, Aki Vehtari, Linda Petzold · 2019
- Network Deconvolution
Chengxi Ye, Matthew Evanusa, Hua He, Anton Mitrokhin, Tom Goldstein, James A. Yorke, Cornelia Fermüller, Yiannis Aloimonos · 2019
- Cerberus: A Multi-headed Derenderer
Boyang Deng, Simon Kornblith, Geoffrey Hinton · 2019
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan, Quoc V. Le · 2019
- Chasing Convex Bodies Optimally
Mark Sellke · 2019
- Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo, Tao Lin, Nino Antulov-Fantulin · 2019
- Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan, Vitaly Shmatikov · 2019
- SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
Igor Fedorov, Ryan P. Adams, Matthew Mattina, Paul N. Whatmough · 2019
- One SQL to Rule Them All
Edmon Begoli, Tyler Akidau, Fabian Hueske, Julian Hyde, Kathryn Knight, Kenneth Knowles · 2019
- SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver
Po-Wei Wang, Priya L. Donti, Bryan Wilder, Zico Kolter · 2019
- A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath, Primoz Skraba, Leonidas J. Guibas, Gunnar Carlsson · 2019
- A Room Temperature Polariton Light-Emitting Diode Based on Monolayer WS2
Jie Gu, Biswanath Chakraborty, Mandeep Khatoniar, Vinod M. Menon · 2019
- Instant Quantization of Neural Networks using Monte Carlo Methods
Gonçalo Mordido, Matthijs Van Keirsbilck, Alexander Keller · 2019
- Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation
Vihan Jain, Gabriel Magalhaes, Alexander Ku, Ashish Vaswani, Eugene Ie, Jason Baldridge · 2019
- Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek · 2019
- Racial Bias in Hate Speech and Abusive Language Detection Datasets
Thomas Davidson, Debasmita Bhattacharya, Ingmar Weber · 2019
- Learning Navigation Subroutines from Egocentric Videos
Ashish Kumar, Saurabh Gupta, Jitendra Malik · 2019
- Defending Against Neural Fake News
Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi · 2019
- The role of bot squads in the political propaganda on Twitter
Guido Caldarelli, Rocco De Nicola, Fabio Del Vigna, Marinella Petrocchi, Fabio Saracco · 2019
- Fallout: Reading Kernel Writes From User Space
Marina Minkin, Daniel Moghimi, Moritz Lipp, Michael Schwarz, Jo Van Bulck, Daniel Genkin, Daniel Gruss, Frank Piessens, Berk Sunar, Yuval Yarom · 2019
- Sub-Turing Islands in the Wild
Earl T. Barr, David W. Binkley, Mark Harman, Mohamed Nassim Seghir · 2019
- Clustering without Over-Representation
Sara Ahmadian, Alessandro Epasto, Ravi Kumar, Mohammad Mahdian · 2019
- On-chip integrated laser-driven particle accelerator
Neil V. Sapra, Ki Youl Yang, Dries Vercruysse, Kenneth J. Leedle, Dylan S. Black, R. Joel England, Logan Su, Yu Miao, Olav Solgaard, Robert L. Byer, Jelena Vučković · 2019
- Fast Reciprocal Collision Avoidance Under Measurement Uncertainty
Guillermo Angeris, Kunal Shah, Mac Schwager · 2019
- Learning Compositional Neural Programs with Recursive Tree Search and Planning
Thomas Pierrot, Guillaume Ligner, Scott Reed, Olivier Sigaud, Nicolas Perrin, Alexandre Laterre, David Kas, Karim Beguir, Nando de Freitas · 2019
- The Bloom Clock
Lum Ramabaja · 2019
- Grounding Language Attributes to Objects using Bayesian Eigenobjects
Vanya Cohen, Benjamin Burchfiel, Thao Nguyen, Nakul Gopalan, Stefanie Tellex, George Konidaris · 2019
- General anesthesia reduces complexity and temporal asymmetry of the informational structures derived from neural recordings in Drosophila
Roberto N. Muñoz, Angus Leung, Aidan Zecevik, Felix A. Pollock, Dror Cohen, Bruno van Swinderen, Naotsugu Tsuchiya, Kavan Modi · 2019
- A Beginner's Guide to Working with Astronomical Data
Markus Pössel · 2019
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
Vineeth S. Bhaskara, Sneha Desai · 2019
- What Can Neural Networks Reason About?
Keyulu Xu, Jingling Li, Mozhi Zhang, Simon S. Du, Ken-ichi Kawarabayashi, Stefanie Jegelka · 2019
- The hidden assumptions of Frauchiger and Renner
Anthony Sudbery · 2019
- A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends
Saptarshi Sengupta, Sanchita Basak, Pallabi Saikia, Sayak Paul, Vasilios Tsalavoutis, Frederick Atiah, Vadlamani Ravi, Alan Peters · 2019
- How Often Do Single-Statement Bugs Occur? The ManySStuBs4J Dataset
Rafael-Michael Karampatsis, Charles Sutton · 2019
- ParPaRaw: Massively Parallel Parsing of Delimiter-Separated Raw Data
Elias Stehle, Hans-Arno Jacobsen · 2019
- Foundations of Digital Archæoludology
Cameron Browne, Dennis J. N. J. Soemers, Éric Piette, Matthew Stephenson, Michael Conrad, Walter Crist, Thierry Depaulis, Eddie Duggan, Fred Horn, Steven Kelk, Simon M. Lucas, João Pedro Neto, David Parlett, Abdallah Saffidine, Ulrich Schädler, Jorge Nuno Silva, Alex de Voogt, Mark H. M. Winands · 2019
- Efficient Neural Architecture Search via Proximal Iterations
Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu · 2019
- A Role for Dependent Types in Haskell (Extended version)
Stephanie Weirich, Pritam Choudhury, Antoine Voizard, Richard A. Eisenberg · 2019
- Protocols for Checking Compromised Credentials
Lucy Li, Bijeeta Pal, Junade Ali, Nick Sullivan, Rahul Chatterjee, Thomas Ristenpart · 2019
- Self-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation
Mario Krenn, Florian Häse, AkshatKumar Nigam, Pascal Friederich, Alán Aspuru-Guzik · 2019
- Detecting Dark Matter with Aharonov-Bohm
John Terning, Christopher B. Verhaaren · 2019
- Gmail Smart Compose: Real-Time Assisted Writing
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 · 2019
- Deep Learning Recommendation Model for Personalization and Recommendation Systems
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 · 2019
- Knowledge Hypergraphs: Prediction Beyond Binary Relations
Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole · 2019
- Synthesizing Datalog Programs Using Numerical Relaxation
Xujie Si, Mukund Raghothaman, Kihong Heo, Mayur Naik · 2019
- Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals · 2019
- Ara: A 1 GHz+ Scalable and Energy-Efficient RISC-V Vector Processor with Multi-Precision Floating Point Support in 22 nm FD-SOI
Matheus Cavalcante, Fabian Schuiki, Florian Zaruba, Michael Schaffner, Luca Benini · 2019
- An overview of memristive cryptography
Alex Pappachen James · 2019
- Topological Autoencoders
Michael Moor, Max Horn, Bastian Rieck, Karsten Borgwardt · 2019
- Hierarchical Decision Making by Generating and Following Natural Language Instructions
Hengyuan Hu, Denis Yarats, Qucheng Gong, Yuandong Tian, Mike Lewis · 2019
- Deep Reasoning Networks: Thinking Fast and Slow
Di Chen, Yiwei Bai, Wenting Zhao, Sebastian Ament, John M. Gregoire, Carla P. Gomes · 2019
- Stochastic Computing for Hardware Implementation of Binarized Neural Networks
Tifenn Hirtzlin, Bogdan Penkovsky, Marc Bocquet, Jacques-Olivier Klein, Jean-Michel Portal, Damien Querlioz · 2019
- Better Character Language Modeling Through Morphology
Terra Blevins, Luke Zettlemoyer · 2019
- Coherent electrical control of a single high-spin nucleus in silicon
Serwan Asaad, Vincent Mourik, Benjamin Joecker, Mark A. I. Johnson, Andrew D. Baczewski, Hannes R. Firgau, Mateusz T. Mądzik, Vivien Schmitt, Jarryd J. Pla, Fay E. Hudson, Kohei M. Itoh, Jeffrey C. McCallum, Andrew S. Dzurak, Arne Laucht, Andrea Morello · 2019
- Phase signature of topological transition in Josephson Junctions
Matthieu C. Dartiailh, William Mayer, Joseph Yuan, Kaushini S. Wickramasinghe, Alex Matos-Abiague, Igor Žutić, Javad Shabani · 2019
- How Large Are Lions? Inducing Distributions over Quantitative Attributes
Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth · 2019
- Autonomous Reinforcement Learning of Multiple Interrelated Tasks
Vieri Giuliano Santucci, Gianluca Baldassarre, Emilio Cartoni · 2019
- Two accreting protoplanets around the young star PDS 70
S. Y. Haffert, A. J. Bohn, J. de Boer, I. A. G. Snellen, J. Brinchmann, J. H. Girard, C. U. Keller, R. Bacon · 2019
- Embedded hyper-parameter tuning by Simulated Annealing
Matteo Fischetti, Matteo Stringher · 2019