All paper pages
28734 retained paper pages. Page 117 of 288.
- ColdGANs: Taming Language GANs with Cautious Sampling Strategies
Thomas Scialom, Paul-Alexis Dray, Sylvain Lamprier, Benjamin Piwowarski, Jacopo Staiano · 2020
- Reinforcement Learning Under Moral Uncertainty
Adrien Ecoffet, Joel Lehman · 2020
- Nonparametric Feature Impact and Importance
Terence Parr, James D. Wilson, Jeff Hamrick · 2020
- Linformer: Self-Attention with Linear Complexity
Sinong Wang, Belinda Z. Li, Madian Khabsa, Han Fang, Hao Ma · 2020
- Resource Burning for Permissionless Systems
Diksha Gupta, Jared Saia, Maxwell Young · 2020
- Human Assisted Science at Venus: Venus Exploration in the New Human Spaceflight Age
Noam R. Izenberg, Ralph L. McNutt, Kirby D. Runyon, Paul K. Byrne, Alexander Macdonald · 2020
- Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
Samuel Daulton, Maximilian Balandat, Eytan Bakshy · 2020
- Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data
Jake P. Taylor-King, Cristian Regep, Jyothish Soman, Flawnson Tong, Catalina Cangea, Charlie Roberts · 2020
- MISIM: A Neural Code Semantics Similarity System Using the Context-Aware Semantics Structure
Fangke Ye, Shengtian Zhou, Anand Venkat, Ryan Marcus, Nesime Tatbul, Jesmin Jahan Tithi, Niranjan Hasabnis, Paul Petersen, Timothy Mattson, Tim Kraska, Pradeep Dubey, Vivek Sarkar, Justin Gottschlich · 2020
- Pruning neural networks without any data by iteratively conserving synaptic flow
Hidenori Tanaka, Daniel Kunin, Daniel L. K. Yamins, Surya Ganguli · 2020
- Fundamental Physical and Resource Requirements for a Martian Magnetic Shield
Marcus DuPont, Jeremiah W. Murphy · 2020
- Rendering Natural Camera Bokeh Effect with Deep Learning
Andrey Ignatov, Jagruti Patel, Radu Timofte · 2020
- Toward a standardized methodology for constructing quantum computing use cases
Nicholas Chancellor, Robert Cumming, Tim Thomas · 2020
- Objective Caml for Multicore Architectures
Mathias Bourgoin, Benjamin Canou, Emmanuel Chailloux, Adrien Jonquet, Philippe Wang · 2020
- Mind the GAP: Security & Privacy Risks of Contact Tracing Apps
Lars Baumgärtner, Alexandra Dmitrienko, Bernd Freisleben, Alexander Gruler, Jonas Höchst, Joshua Kühlberg, Mira Mezini, Richard Mitev, Markus Miettinen, Anel Muhamedagic, Thien Duc Nguyen, Alvar Penning, Dermot Frederik Pustelnik, Filipp Roos, Ahmad-Reza Sadeghi, Michael Schwarz, Christian Uhl · 2020
- Gaussian Gated Linear Networks
David Budden, Adam Marblestone, Eren Sezener, Tor Lattimore, Greg Wayne, Joel Veness · 2020
- A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu, Pin-Yu Chen, Bhavya Kailkhura, Gaoyuan Zhang, Alfred Hero, Pramod K. Varshney · 2020
- Learning advanced mathematical computations from examples
François Charton, Amaury Hayat, Guillaume Lample · 2020
- Rethinking the Truly Unsupervised Image-to-Image Translation
Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim · 2020
- Training Generative Adversarial Networks with Limited Data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, Timo Aila · 2020
- Ansor: Generating High-Performance Tensor Programs for Deep Learning
Lianmin Zheng, Chengfan Jia, Minmin Sun, Zhao Wu, Cody Hao Yu, Ameer Haj-Ali, Yida Wang, Jun Yang, Danyang Zhuo, Koushik Sen, Joseph E. Gonzalez, Ion Stoica · 2020
- BanditPAM: Almost Linear Time $k$-Medoids Clustering via Multi-Armed Bandits
Mo Tiwari, Martin Jinye Zhang, James Mayclin, Sebastian Thrun, Chris Piech, Ilan Shomorony · 2020
- Rethinking Pre-training and Self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D. Cubuk, Quoc V. Le · 2020
- Breaking the Warp Barrier: Hyper-Fast Solitons in Einstein-Maxwell-Plasma Theory
Erik W. Lentz · 2020
- Building trust in digital policing: A scoping review of community policing apps
Camilla Elphick, Richard Philpot, Min Zhang, Avelie Stuart, Zoe Walkington, Lara Frumkin, Graham Pike, Kelly Gardner, Mark Lacey, Mark Levine, Blaine Price, Arosha Bandara, Bashar Nuseibeh · 2020
- Are we done with ImageNet?
Lucas Beyer, Olivier J. Hénaff, Alexander Kolesnikov, Xiaohua Zhai, Aäron van den Oord · 2020
- The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps
Grigori Fursin · 2020
- Challenges in Semileptonic B Decays
P. Gambino, A. S. Kronfeld, M. Rotondo, C. Schwanda, F. Bernlochner, A. Bharucha, C. Bozzi, M. Calvi, L. Cao, G. Ciezarek, C. T. H. Davies, A. X. El-Khadra, S. Hashimoto, M. Jung, A. Khodjamirian, Z. Ligeti, E. Lunghi, V. Luth, T. Mannel, S. Meinel, G. Paz, S. Schacht, S. Simula, W. Sutcliffe, A. Vaquero Aviles-Casco · 2020
- AlgebraNets
Jordan Hoffmann, Simon Schmitt, Simon Osindero, Karen Simonyan, Erich Elsen · 2020
- Learning Causal Models Online
Khurram Javed, Martha White, Yoshua Bengio · 2020
- Hypermodels for Exploration
Vikranth Dwaracherla, Xiuyuan Lu, Morteza Ibrahimi, Ian Osband, Zheng Wen, Benjamin Van Roy · 2020
- Enabling Joint Communication and Radar Sensing in Mobile Networks -- A Survey
J. Andrew Zhang, Md Lushanur Rahman, Kai Wu, Xiaojing Huang, Y. Jay Guo, Shanzhi Chen, Jinhong Yuan · 2020
- Missed calls, Automated Calls and Health Support: Using AI to improve maternal health outcomes by increasing program engagement
Siddharth Nishtala, Harshavardhan Kamarthi, Divy Thakkar, Dhyanesh Narayanan, Anirudh Grama, Aparna Hegde, Ramesh Padmanabhan, Neha Madhiwalla, Suresh Chaudhary, Balaraman Ravindran, Milind Tambe · 2020
- Equivariant Neural Rendering
Emilien Dupont, Miguel Angel Bautista, Alex Colburn, Aditya Sankar, Carlos Guestrin, Josh Susskind, Qi Shan · 2020
- Solos: A Dataset for Audio-Visual Music Analysis
Juan F. Montesinos, Olga Slizovskaia, Gloria Haro · 2020
- Neural Networks Fail to Learn Periodic Functions and How to Fix It
Liu Ziyin, Tilman Hartwig, Masahito Ueda · 2020
- The EMV Standard: Break, Fix, Verify
David Basin, Ralf Sasse, Jorge Toro-Pozo · 2020
- DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye, Mathias Sable-Meyer, Luc Cary, Lucas Morales, Luke Hewitt, Armando Solar-Lezama, Joshua B. Tenenbaum · 2020
- Probability of symptoms and critical disease after SARS-CoV-2 infection
Piero Poletti, Marcello Tirani, Danilo Cereda, Filippo Trentini, Giorgio Guzzetta, Giuliana Sabatino, Valentina Marziano, Ambra Castrofino, Francesca Grosso, Gabriele Del Castillo, Raffaella Piccarreta, ATS Lombardy COVID-19 Task Force, Aida Andreassi, Alessia Melegaro, Maria Gramegna, Marco Ajelli, Stefano Merler · 2020
- Flood & Loot: A Systemic Attack On The Lightning Network
Jona Harris, Aviv Zohar · 2020
- Measurement-Based Evaluation Of Google/Apple Exposure Notification API For Proximity Detection in a Commuter Bus
Douglas J. Leith, Stephen Farrell · 2020
- Feynman Lectures on the Strong Interactions
Richard P. Feynman, James M. Cline · 2020
- Multiscale Deep Equilibrium Models
Shaojie Bai, Vladlen Koltun, J. Zico Kolter · 2020
- To Pretrain or Not to Pretrain: Examining the Benefits of Pretraining on Resource Rich Tasks
Sinong Wang, Madian Khabsa, Hao Ma · 2020
- Sound Algorithms in Imperfect Information Games
Michal Šustr, Martin Schmid, Matej Moravčík, Neil Burch, Marc Lanctot, Michael Bowling · 2020
- Algorithms with Predictions
Michael Mitzenmacher, Sergei Vassilvitskii · 2020
- On the Computational Power of Transformers and its Implications in Sequence Modeling
Satwik Bhattamishra, Arkil Patel, Navin Goyal · 2020
- Galaxy bias and primordial non-Gaussianity: insights from galaxy formation simulations with IllustrisTNG
Alexandre Barreira, Giovanni Cabass, Fabian Schmidt, Annalisa Pillepich, Dylan Nelson · 2020
- Memory-Efficient Pipeline-Parallel DNN Training
Deepak Narayanan, Amar Phanishayee, Kaiyu Shi, Xie Chen, Matei Zaharia · 2020
- Implicit Neural Representations with Periodic Activation Functions
Vincent Sitzmann, Julien N. P. Martel, Alexander W. Bergman, David B. Lindell, Gordon Wetzstein · 2020
- Extending the Breakthrough Listen nearby star survey to other stellar objects in the field
B. S. Wlodarczyk-Sroka, M. A. Garrett, A. P. V. Siemion · 2020
- Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package
Diego Elias Costa, Suhaib Mujahid, Rabe Abdalkareem, Emad Shihab · 2020
- Big Self-Supervised Models are Strong Semi-Supervised Learners
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, Geoffrey Hinton · 2020
- A Tutorial on VAEs: From Bayes' Rule to Lossless Compression
Ronald Yu · 2020
- Advances in Black-Box VI: Normalizing Flows, Importance Weighting, and Optimization
Abhinav Agrawal, Daniel Sheldon, Justin Domke · 2020
- Learning by Repetition: Stochastic Multi-armed Bandits under Priming Effect
Priyank Agrawal, Theja Tulabandhula · 2020
- Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation
Jungo Kasai, Nikolaos Pappas, Hao Peng, James Cross, Noah A. Smith · 2020
- DREAM: Deep Regret minimization with Advantage baselines and Model-free learning
Eric Steinberger, Adam Lerer, Noam Brown · 2020
- SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks
Fabian B. Fuchs, Daniel E. Worrall, Volker Fischer, Max Welling · 2020
- Latent Video Transformer
Ruslan Rakhimov, Denis Volkhonskiy, Alexey Artemov, Denis Zorin, Evgeny Burnaev · 2020
- When Does Preconditioning Help or Hurt Generalization?
Shun-ichi Amari, Jimmy Ba, Roger Grosse, Xuechen Li, Atsushi Nitanda, Taiji Suzuki, Denny Wu, Ji Xu · 2020
- Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Matthew Tancik, Pratul P. Srinivasan, Ben Mildenhall, Sara Fridovich-Keil, Nithin Raghavan, Utkarsh Singhal, Ravi Ramamoorthi, Jonathan T. Barron, Ren Ng · 2020
- AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
Silviu-Marian Udrescu, Andrew Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark · 2020
- Sparse GPU Kernels for Deep Learning
Trevor Gale, Matei Zaharia, Cliff Young, Erich Elsen · 2020
- Leveraging Machine Learning to Alleviate Hubbard Model Sign Problems
Jan-Lukas Wynen, Evan Berkowitz, Stefan Krieg, Thomas Luu, Johann Ostmeyer · 2020
- Denoising Diffusion Probabilistic Models
Jonathan Ho, Ajay Jain, Pieter Abbeel · 2020
- The MCC-F1 curve: a performance evaluation technique for binary classification
Chang Cao, Davide Chicco, Michael M. Hoffman · 2020
- Discovering Symbolic Models from Deep Learning with Inductive Biases
Miles Cranmer, Alvaro Sanchez-Gonzalez, Peter Battaglia, Rui Xu, Kyle Cranmer, David Spergel, Shirley Ho · 2020
- One of Everything: The Breakthrough Listen Exotica Catalog
Brian C. Lacki, Bryan Brzycki, Steve Croft, Daniel Czech, David DeBoer, Julia DeMarines, Vishal Gajjar, Howard Isaacson, Matt Lebofsky, David H. E. MacMahon, Danny C. Price, Sofia Z. Sheikh, Andrew P. V. Siemion, Jamie Drew, S. Pete Worden · 2020
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations
Alexei Baevski, Henry Zhou, Abdelrahman Mohamed, Michael Auli · 2020
- Memory Transformer
Mikhail S. Burtsev, Yuri Kuratov, Anton Peganov, Grigory V. Sapunov · 2020
- Collective Learning by Ensembles of Altruistic Diversifying Neural Networks
Benjamin Brazowski, Elad Schneidman · 2020
- Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning
Aleksei Petrenko, Zhehui Huang, Tushar Kumar, Gaurav Sukhatme, Vladlen Koltun · 2020
- Fully-heavy tetraquark states and their evidences in the LHC observations
Ming-Sheng liu, Feng-Xiao Liu, Xian-Hui Zhong, Qiang Zhao · 2020
- Differentiable Rendering: A Survey
Hiroharu Kato, Deniz Beker, Mihai Morariu, Takahiro Ando, Toru Matsuoka, Wadim Kehl, Adrien Gaidon · 2020
- Logarithmic Pruning is All You Need
Laurent Orseau, Marcus Hutter, Omar Rivasplata · 2020
- Stablecoins 2.0: Economic Foundations and Risk-based Models
Ariah Klages-Mundt, Dominik Harz, Lewis Gudgeon, Jun-You Liu, Andreea Minca · 2020
- Mitigation of LEO Satellite Brightness and Trail Effects on the Rubin Observatory LSST
J. Anthony Tyson, Željko Ivezić, Andrew Bradshaw, Meredith L. Rawls, Bo Xin, Peter Yoachim, John Parejko, Jared Greene, Michael Sholl, Timothy M. C. Abbott, Daniel Polin · 2020
- The Riemann Hypothesis is false
Tatenda Kubalalika · 2020
- Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw, Sahil Singla, Soheil Feizi · 2020
- Neural Dynamical Systems: Balancing Structure and Flexibility in Physical Prediction
Viraj Mehta, Ian Char, Willie Neiswanger, Youngseog Chung, Andrew Oakleigh Nelson, Mark D Boyer, Egemen Kolemen, Jeff Schneider · 2020
- Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists
Hongyan Gu, Jingbin Huang, Lauren Hung, Xiang 'Anthony' Chen · 2020
- Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures
Julien Launay, Iacopo Poli, François Boniface, Florent Krzakala · 2020
- Inference with Artificial Neural Networks on Analog Neuromorphic Hardware
Johannes Weis, Philipp Spilger, Sebastian Billaudelle, Yannik Stradmann, Arne Emmel, Eric Müller, Oliver Breitwieser, Andreas Grübl, Joscha Ilmberger, Vitali Karasenko, Mitja Kleider, Christian Mauch, Korbinian Schreiber, Johannes Schemmel · 2020
- Tsunami: A Learned Multi-dimensional Index for Correlated Data and Skewed Workloads
Jialin Ding, Vikram Nathan, Mohammad Alizadeh, Tim Kraska · 2020
- Atmospheric Regimes and Trends on Exoplanets and Brown Dwarfs
Xi Zhang · 2020
- GIFnets: Differentiable GIF Encoding Framework
Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar · 2020
- Spectral link of the generalized Townsend-Perry constants in turbulent boundary layers
Björn Birnir, Luiza Angheluta, John Kaminsky, Xi Che · 2020
- How do Agile Software Startups deal with uncertainties by Covid-19 pandemic?
Rafael da Camara, Marcelo Marinho, Suzana Sampaio, Saulo Cadete · 2020
- The NetHack Learning Environment
Heinrich Küttler, Nantas Nardelli, Alexander H. Miller, Roberta Raileanu, Marco Selvatici, Edward Grefenstette, Tim Rocktäschel · 2020
- Adoption of ICT innovations in the agriculture sector in Africa: A Systematic Literature Review
Claudia Ayim, Ayalew Kassahun, Bedir Tekinerdogan, Chris Addison · 2020
- Quantum Computer: Hello, Music!
Eduardo R. Miranda · 2020
- Freely scalable and reconfigurable optical hardware for deep learning
Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel Emer, Dirk Englund · 2020
- Extracting the main trend in a dataset: the Sequencer algorithm
Dalya Baron, Brice Ménard · 2020
- Circumvention by design -- dark patterns in cookie consents for online news outlets
Than Htut Soe, Oda Elise Nordberg, Frode Guribye, Marija Slavkovik · 2020
- WikipediaBot: Automated Adversarial Manipulation of Wikipedia Articles
Filipo Sharevski, Peter Jachim · 2020
- Audeo: Audio Generation for a Silent Performance Video
Kun Su, Xiulong Liu, Eli Shlizerman · 2020
- On the Nature of Programming Exercises
Alberto Simões, Ricardo Queirós · 2020
- Smooth Adversarial Training
Cihang Xie, Mingxing Tan, Boqing Gong, Alan Yuille, Quoc V. Le · 2020
- Tensor Programs II: Neural Tangent Kernel for Any Architecture
Greg Yang · 2020