All paper pages
28734 retained paper pages. Page 55 of 288.
- Quantum Approximate Optimization Algorithm for MaxCut: A Fermionic View
Zhihui Wang, Stuart Hadfield, Zhang Jiang, Eleanor G. Rieffel · 2017
- Thermodynamics of Evolutionary Games
Christoph Adami, Arend Hintze · 2017
- Big Data, Data Science, and Civil Rights
Solon Barocas, Elizabeth Bradley, Vasant Honavar, Foster Provost · 2017
- Serverless Computing: Current Trends and Open Problems
Ioana Baldini, Paul Castro, Kerry Chang, Perry Cheng, Stephen Fink, Vatche Ishakian, Nick Mitchell, Vinod Muthusamy, Rodric Rabbah, Aleksander Slominski, Philippe Suter · 2017
- Realization of Shor's Algorithm at Room Temperature
Niklas Johansson, Jan-Åke Larsson · 2017
- Aftershocks following crash of currency exchange rate: The case of RUB/USD in 2014
Vasilya Usmanova, Yury V. Lysogorskiy, Sumiyoshi Abe · 2017
- Origin of Unusually High Rigidity in Selected Helical Coil Structures
David Tomanek, Arthur G. Every · 2017
- Neural networks and rational functions
Matus Telgarsky · 2017
- Deep Optimization for Spectrum Repacking
Neil Newman, Alexandre Fréchette, Kevin Leyton-Brown · 2017
- Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt, Pang Wei Koh, Percy Liang · 2017
- Deep reinforcement learning from human preferences
Paul Christiano, Jan Leike, Tom B. Brown, Miljan Martic, Shane Legg, Dario Amodei · 2017
- Attention Is All You Need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin · 2017
- A Simple Soundness Proof for Dependent Object Types
Marianna Rapoport, Ifaz Kabir, Paul He, Ondřej Lhoták · 2017
- SmoothGrad: removing noise by adding noise
Daniel Smilkov, Nikhil Thorat, Been Kim, Fernanda Viégas, Martin Wattenberg · 2017
- Accounting for sample selection in Bayesian analyses
Samuel R. Hinton, Alex Kim, Tamara M. Davis · 2017
- SEP-Nets: Small and Effective Pattern Networks
Zhe Li, Xiaoyu Wang, Xutao Lv, Tianbao Yang · 2017
- DAReing to reduce the annotation overheads of verified programs
Gudmund Grov, Duncan Cameron, Leon McGregor · 2017
- Text Extraction From Texture Images Using Masked Signal Decomposition
Shervin Minaee, Yao Wang · 2017
- The Rosenberg-Strong Pairing Function
Matthew P. Szudzik · 2017
- Observational bias and the clustering of distant eccentric Kuiper belt objects
Michael E. Brown · 2017
- Preprint Déjà Vu: an FAQ
P. Ginsparg · 2017
- On the time lags of the LIGO signals
James Creswell, Sebastian von Hausegger, Andrew D. Jackson, Hao Liu, Pavel Naselsky · 2017
- Hybrid Reward Architecture for Reinforcement Learning
Harm van Seijen, Mehdi Fatemi, Joshua Romoff, Romain Laroche, Tavian Barnes, Jeffrey Tsang · 2017
- Adversarially Regularized Autoencoders
Jake Zhao, Yoon Kim, Kelly Zhang, Alexander M. Rush, Yann LeCun · 2017
- Picking Winners: A Data Driven Approach to Evaluating the Quality of Startup Companies
David Scott Hunter, Ajay Saini, Tauhid Zaman · 2017
- Teaching Compositionality to CNNs
Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George · 2017
- Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics
Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George · 2017
- Empirical Analysis of the Hessian of Over-Parametrized Neural Networks
Levent Sagun, Utku Evci, V. Ugur Guney, Yann Dauphin, Leon Bottou · 2017
- Learning and Evaluating Musical Features with Deep Autoencoders
Mason Bretan, Sageev Oore, Doug Eck, Larry Heck · 2017
- On Calibration of Modern Neural Networks
Chuan Guo, Geoff Pleiss, Yu Sun, Kilian Q. Weinberger · 2017
- Bias and high-dimensional adjustment in observational studies of peer effects
Dean Eckles, Eytan Bakshy · 2017
- Gradient Descent for Spiking Neural Networks
Dongsung Huh, Terrence J. Sejnowski · 2017
- Sobolev Training for Neural Networks
Wojciech Marian Czarnecki, Simon Osindero, Max Jaderberg, Grzegorz Świrszcz, Razvan Pascanu · 2017
- Learning Deep ResNet Blocks Sequentially using Boosting Theory
Furong Huang, Jordan Ash, John Langford, Robert Schapire · 2017
- Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini, Hieu Pham, Quoc V. Le, Benoit Steiner, Rasmus Larsen, Yuefeng Zhou, Naveen Kumar, Mohammad Norouzi, Samy Bengio, Jeff Dean · 2017
- Horcrux: A Password Manager for Paranoids
Hannah Li, David Evans · 2017
- Deal or No Deal? End-to-End Learning for Negotiation Dialogues
Mike Lewis, Denis Yarats, Yann N. Dauphin, Devi Parikh, Dhruv Batra · 2017
- One Model To Learn Them All
Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit · 2017
- AI-Powered Social Bots
Terrence Adams · 2017
- Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing
Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi, Joseph S. Friedman, Adrien F. Vincent, Miguel Romera, Akio Fukushima, Kay Yakushiji, Hitoshi Kubota, Shinji Yuasa, Sandip Tiwari, Julie Grollier, Damien Querlioz · 2017
- A Coq-based synthesis of Scala programs which are correct-by-construction
Youssef El Bakouny, Tristan Crolard, Dani Mezher · 2017
- The Evolution of Neural Network-Based Chart Patterns: A Preliminary Study
Myoung Hoon Ha, Byung-Ro Moon · 2017
- OSSOS VI. Striking Biases in the detection of large semimajor axis Trans-Neptunian Objects
Cory Shankman, JJ Kavelaars, Michele Bannister, Brett Gladman, Samantha Lawler, Ying-Tung Chen, Marian Jakubik, Nathan Kaib, Mike Alexandersen, Stephen Gwyn, Jean-Marc Petit, Kathryn Volk · 2017
- Practical and Provably Secure Onion Routing
Megumi Ando, Anna Lysyanskaya, Eli Upfal · 2017
- A Closer Look at Memorization in Deep Networks
Devansh Arpit, Stanisław Jastrzębski, Nicolas Ballas, David Krueger, Emmanuel Bengio, Maxinder S. Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, Simon Lacoste-Julien · 2017
- On the absence of pulses from pulsars
Vishal Gajjar · 2017
- Modeling Biological Problems in Computer Science: A Case Study in Genome Assembly
Paul Medvedev · 2017
- Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, Hartwig Adam · 2017
- SuperMinHash - A New Minwise Hashing Algorithm for Jaccard Similarity Estimation
Otmar Ertl · 2017
- Gradient Diversity: a Key Ingredient for Scalable Distributed Learning
Dong Yin, Ashwin Pananjady, Max Lam, Dimitris Papailiopoulos, Kannan Ramchandran, Peter Bartlett · 2017
- 3D Convolutional Neural Networks for Cross Audio-Visual Matching Recognition
Amirsina Torfi, Seyed Mehdi Iranmanesh, Nasser M. Nasrabadi, Jeremy Dawson · 2017
- The inhomogeneous sub-millimeter atmosphere of Betelgeuse
E. O'Gorman, P. Kervella, G. M. Harper, A. M. S. Richards, L. Decin, M. Montargès, I. McDonald · 2017
- Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu · 2017
- The California-Kepler Survey V. Peas in a Pod: Planets in a Kepler Multi-planet System are Similar in Size and Regularly Spaced
Lauren M. Weiss, Geoffrey W. Marcy, Erik A. Petigura, Benjamin J. Fulton, Andrew W. Howard, Joshua N. Winn, Howard T. Isaacson, Timothy D. Morton, Lea A. Hirsch, Evan J. Sinukoff, Andrew Cumming, Leslie Hebb, Phillip A. Cargile · 2017
- Using deep learning to reveal the neural code for images in primary visual cortex
William F. Kindel, Elijah D. Christensen, Joel Zylberberg · 2017
- Multi-frame image super-resolution with fast upscaling technique
Longguang Wang, Zaiping Lin, Xinpu Deng, Wei An · 2017
- Universal Quantum Computing with Measurement-Induced Continuous-Variable Gate Sequence in a Loop-Based Architecture
Shuntaro Takeda, Akira Furusawa · 2017
- Improving text classification with vectors of reduced precision
Krzysztof Wróbel, Maciej Wielgosz, Marcin Pietroń, Michał Karwatowski, Aleksander Smywiński-Pohl · 2017
- Programmable Agents
Misha Denil, Sergio Gómez Colmenarejo, Serkan Cabi, David Saxton, Nando de Freitas · 2017
- Observational Learning by Reinforcement Learning
Diana Borsa, Bilal Piot, Rémi Munos, Olivier Pietquin · 2017
- Magnetic flux pumping in 3D nonlinear magnetohydrodynamic simulations
I. Krebs, S. C. Jardin, S. Günter, K. Lackner, M. Hoelzl, E. Strumberger, N. Ferraro · 2017
- Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models
Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas, Nathan Baker · 2017
- The Rise and Fall of Network Stars: Analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time
Michael Fire, Carlos Guestrin · 2017
- Solving the Rubik's Cube Optimally is NP-complete
Erik D. Demaine, Sarah Eisenstat, Mikhail Rudoy · 2017
- A giant planet undergoing extreme ultraviolet irradiation by its hot massive-star host
B. Scott Gaudi, Keivan G. Stassun, Karen A. Collins, Thomas G. Beatty, George Zhou, David W. Latham, Allyson Bieryla, Jason D. Eastman, Robert J. Siverd, Justin R. Crepp, Erica J. Gonzales, Daniel J. Stevens, Lars A. Buchhave, Joshua Pepper, Marshall C. Johnson, Knicole D. Colon, Eric L. N. Jensen, Joseph E. Rodriguez, Valerio Bozza, Sebastiano Calchi Novati, Giuseppe D'Ago, Mary T. Dumont, Tyler Ellis, Clement Gaillard, Hannah Jang-Condell, David H. Kasper, Akihiko Fukui, Joao Gregorio, Ayaka Ito, John F. Kielkopf, Mark Manner, Kyle Matt, Norio Narita, Thomas E. Oberst, Phillip A. Reed, Gaetano Scarpetta, Denice C. Stephens, Rex R. Yeigh, Roberto Zambelli, B. J. Fulton, Andrew W. Howard, David J. James, Matthew Penny, Daniel Bayliss, Ivan A. Curtis, D. L. DePoy, Gilbert A. Esquerdo, Andrew Gould, Michael D. Joner, Rudolf B. Kuhn, Jonathan Labadie-Bartz, Michael B. Lund, Jennifer L. Marshall, Kim K. McLeod, Richard W. Pogge, Howard Relles, Chistopher Stockdale, T. G. Tan, Mark Trueblood, Patricia Trueblood · 2017
- Quantum resource estimates for computing elliptic curve discrete logarithms
Martin Roetteler, Michael Naehrig, Krysta M. Svore, Kristin Lauter · 2017
- Analysis of dropout learning regarded as ensemble learning
Kazuyuki Hara, Daisuke Saitoh, Hayaru Shouno · 2017
- Effective Spoken Language Labeling with Deep Recurrent Neural Networks
Marco Dinarelli, Yoann Dupont, Isabelle Tellier · 2017
- Comparing deep neural networks against humans: object recognition when the signal gets weaker
Robert Geirhos, David H. J. Janssen, Heiko H. Schütt, Jonas Rauber, Matthias Bethge, Felix A. Wichmann · 2017
- Deep Interest Network for Click-Through Rate Prediction
Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai · 2017
- Radio Emission from the Exoplanetary System $ε$ Eridani
T. S. Bastian, J. Villadsen, A. Maps, G. Hallinan, A. J. Beasley · 2017
- CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms
Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone · 2017
- Constrained Bayesian Optimization with Noisy Experiments
Benjamin Letham, Brian Karrer, Guilherme Ottoni, Eytan Bakshy · 2017
- Pay-with-a-Selfie, a human-centred digital payment system
Ernesto Damiani, Perpetus Jacques Houngbo, Rasool Asal, Stelvio Cimato, Fulvio Frati, Joel T. Honsou, Dina Shehada, Chan Yeob Yeun · 2017
- A Community's Perspective on the Status and Future of Peer Review in Software Engineering
Lutz Prechelt, Daniel Graziotin, Daniel Méndez Fernández · 2017
- Explanation in Artificial Intelligence: Insights from the Social Sciences
Tim Miller · 2017
- New Cardinality Estimation Methods for HyperLogLog Sketches
Otmar Ertl · 2017
- Binary Latent Representations for Efficient Ranking: Empirical Assessment
Maciej Kula · 2017
- Computational Controversy
Benjamin Timmermans, Tobias Kuhn, Kaspar Beelen, Lora Aroyo · 2017
- A recipe for irreproducible results
Ole Peters, Maximilian Werner · 2017
- Weak lensing of the Lyman-alpha forest
Rupert A. C. Croft, Alessandro Romeo, R. Benton Metcalf · 2017
- Factoring with n+2 clean qubits and n-1 dirty qubits
Craig Gidney · 2017
- Methods for Interpreting and Understanding Deep Neural Networks
Grégoire Montavon, Wojciech Samek, Klaus-Robert Müller · 2017
- Local Refinement Typing
Benjamin Cosman, Ranjit Jhala · 2017
- High-fidelity adiabatic quantum computation using the intrinsic Hamiltonian of a spin system: Application to the experimental factorization of 291311
Zhaokai Li, Nikesh S. Dattani, Xi Chen, Xiaomei Liu, Hengyan Wang, Richard Tanburn, Hongwei Chen, Xinhua Peng, Jiangfeng Du · 2017
- Massive gravity and Fierz-Pauli theory
Alberto Blasi, Nicola Maggiore · 2017
- GPU-acceleration for Large-scale Tree Boosting
Huan Zhang, Si Si, Cho-Jui Hsieh · 2017
- The Product $e π$ Is Irrational
N. A. Carella · 2017
- Bounds on the Satisfiability Threshold for Power Law Distributed Random SAT
Tobias Friedrich, Anton Krohmer, Ralf Rothenberger, Thomas Sauerwald, Andrew M. Sutton · 2017
- GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium
Martin Heusel, Hubert Ramsauer, Thomas Unterthiner, Bernhard Nessler, Sepp Hochreiter · 2017
- Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog
Satwik Kottur, José M. F. Moura, Stefan Lee, Dhruv Batra · 2017
- Developing Bug-Free Machine Learning Systems With Formal Mathematics
Daniel Selsam, Percy Liang, David L. Dill · 2017
- Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study
Samuel Ritter, David G. T. Barrett, Adam Santoro, Matt M. Botvinick · 2017
- To slow, or not to slow? New science in sub-second networks
Neil F. Johnson · 2017
- Unsupervised Learning via Total Correlation Explanation
Greg Ver Steeg · 2017
- CatBoost: unbiased boosting with categorical features
Liudmila Prokhorenkova, Gleb Gusev, Aleksandr Vorobev, Anna Veronika Dorogush, Andrey Gulin · 2017
- Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold
Swabha Swayamdipta, Sam Thomson, Chris Dyer, Noah A. Smith · 2017
- Path Integral Networks: End-to-End Differentiable Optimal Control
Masashi Okada, Luca Rigazio, Takenobu Aoshima · 2017
- Linking Sketches and Diagrams to Source Code Artifacts
Sebastian Baltes, Peter Schmitz, Stephan Diehl · 2017
- Election forensic analysis of the Turkish Constitutional Referendum 2017
Peter Klimek, Raul Jimenez, Manuel Hidalgo, Abraham Hinteregger, Stefan Thurner · 2017