HackerPapers

All paper pages

28734 retained paper pages. Page 51 of 288.

  1. On the Limitation of Convolutional Neural Networks in Recognizing Negative Images

    Hossein Hosseini, Baicen Xiao, Mayoore Jaiswal, Radha Poovendran · 2017

  2. Mask R-CNN

    Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick · 2017

  3. Dance Dance Convolution

    Chris Donahue, Zachary C. Lipton, Julian McAuley · 2017

  4. Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World

    Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, Pieter Abbeel · 2017

  5. The Fake News Spreading Plague: Was it Preventable?

    Eni Mustafaraj, Panagiotis Takis Metaxas · 2017

  6. An Investigation of Three-point Shooting through an Analysis of NBA Player Tracking Data

    Bradley A. Sliz · 2017

  7. Fog Computing for Sustainable Smart Cities: A Survey

    Charith Perera, Yongrui Qin, Julio C. Estrella, Stephan Reiff-Marganiec, Athanasios V. Vasilakos · 2017

  8. One-Shot Imitation Learning

    Yan Duan, Marcin Andrychowicz, Bradly C. Stadie, Jonathan Ho, Jonas Schneider, Ilya Sutskever, Pieter Abbeel, Wojciech Zaremba · 2017

  9. How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)

    Adrian Bulat, Georgios Tzimiropoulos · 2017

  10. RobustFill: Neural Program Learning under Noisy I/O

    Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli · 2017

  11. Deep Photo Style Transfer

    Fujun Luan, Sylvain Paris, Eli Shechtman, Kavita Bala · 2017

  12. Visual Analyses of Music History: A User-Centric Approach

    Jingxian Zhang, Dong Liu · 2017

  13. A Las Vegas algorithm to solve the elliptic curve discrete logarithm problem

    Ayan Mahalanobis, Vivek Mallick · 2017

  14. Deep MANTA: A Coarse-to-fine Many-Task Network for joint 2D and 3D vehicle analysis from monocular image

    Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau · 2017

  15. Control What You Include! Server-Side Protection against Third Party Web Tracking

    Dolière Francis Somé, Nataliia Bielova, Tamara Rezk · 2017

  16. A review on Asteroseismology

    Maria Pia Di Mauro · 2017

  17. Predicting Deeper into the Future of Semantic Segmentation

    Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun · 2017

  18. Ozone: Efficient Execution with Zero Timing Leakage for Modern Microarchitectures

    Zelalem Birhanu Aweke, Todd Austin · 2017

  19. Oops!...I think I scanned a malware

    Ben Nassi, Adi Shamir, Yuval Elovici · 2017

  20. Faster Reinforcement Learning Using Active Simulators

    Vikas Jain, Theja Tulabandhula · 2017

  21. Failures of Gradient-Based Deep Learning

    Shai Shalev-Shwartz, Ohad Shamir, Shaked Shammah · 2017

  22. Single Channel Audio Source Separation using Convolutional Denoising Autoencoders

    Emad M. Grais, Mark D. Plumbley · 2017

  23. Dynamic Bernoulli Embeddings for Language Evolution

    Maja Rudolph, David Blei · 2017

  24. On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations

    Nicholas Cheney, Martin Schrimpf, Gabriel Kreiman · 2017

  25. Tangible Holograms: Towards Mobile Physical Augmentation of Virtual Objects

    Beat Signer, Timothy J. Curtin · 2017

  26. Interacting Conceptual Spaces I : Grammatical Composition of Concepts

    Joe Bolt, Bob Coecke, Fabrizio Genovese, Martha Lewis, Dan Marsden, Robin Piedeleu · 2017

  27. Interpretation miniatures

    H. Nikolic · 2017

  28. Data-Mining Textual Responses to Uncover Misconception Patterns

    Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk · 2017

  29. Sequence-to-Sequence Models Can Directly Translate Foreign Speech

    Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen · 2017

  30. Adversarial Examples for Semantic Segmentation and Object Detection

    Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Alan Yuille · 2017

  31. Bond Energies from a Diatomics-in-Molecules Neural Network

    Kun Yao, John Herr, Seth Brown, John Parkhill · 2017

  32. Toward Semantic Foundations for Program Editors

    Cyrus Omar, Ian Voysey, Michael Hilton, Joshua Sunshine, Claire Le Goues, Jonathan Aldrich, Matthew A. Hammer · 2017

  33. Anonymity Properties of the Bitcoin P2P Network

    Giulia Fanti, Pramod Viswanath · 2017

  34. $R(5,5) \le 48$

    Vigleik Angeltveit, Brendan D. McKay · 2017

  35. Who Said What: Modeling Individual Labelers Improves Classification

    Melody Y. Guan, Varun Gulshan, Andrew M. Dai, Geoffrey E. Hinton · 2017

  36. Learning Simpler Language Models with the Differential State Framework

    Alexander G. Ororbia, Tomas Mikolov, David Reitter · 2017

  37. WPaxos: Wide Area Network Flexible Consensus

    Ailidani Ailijiang, Aleksey Charapko, Murat Demirbas, Tevfik Kosar · 2017

  38. Mastering Sketching: Adversarial Augmentation for Structured Prediction

    Edgar Simo-Serra, Satoshi Iizuka, Hiroshi Ishikawa · 2017

  39. Efficient Processing of Deep Neural Networks: A Tutorial and Survey

    Vivienne Sze, Yu-Hsin Chen, Tien-Ju Yang, Joel Emer · 2017

  40. Introduction To The Monogenic Signal

    Christopher P. Bridge · 2017

  41. Coherent Online Video Style Transfer

    Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, Gang Hua · 2017

  42. This Just In: Fake News Packs a Lot in Title, Uses Simpler, Repetitive Content in Text Body, More Similar to Satire than Real News

    Benjamin D. Horne, Sibel Adali · 2017

  43. On the computability of graph Turing machines

    Nathanael Ackerman, Cameron Freer · 2017

  44. Two-Stream RNN/CNN for Action Recognition in 3D Videos

    Rui Zhao, Haider Ali, Patrick van der Smagt · 2017

  45. Deceiving Google's Cloud Video Intelligence API Built for Summarizing Videos

    Hossein Hosseini, Baicen Xiao, Radha Poovendran · 2017

  46. Understanding the Lomb-Scargle Periodogram

    Jacob T. VanderPlas · 2017

  47. A Deep Compositional Framework for Human-like Language Acquisition in Virtual Environment

    Haonan Yu, Haichao Zhang, Wei Xu · 2017

  48. Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary

    Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal · 2017

  49. Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

    Albert Gatt, Emiel Krahmer · 2017

  50. One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models

    J. H. Rick Chang, Chun-Liang Li, Barnabas Poczos, B. V. K. Vijaya Kumar, Aswin C. Sankaranarayanan · 2017

  51. Squeezed thermal reservoirs as a resource for a nano-mechanical engine beyond the Carnot limit

    Jan Klaers, Stefan Faelt, Atac Imamoglu, Emre Togan · 2017

  52. Probabilistic Line Searches for Stochastic Optimization

    Maren Mahsereci, Philipp Hennig · 2017

  53. Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

    Peng Peng, Ying Wen, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, Jun Wang · 2017

  54. Frequent flaring in the TRAPPIST-1 system - unsuited for life?

    Krisztián Vida, Zsolt Kővári, András Pál, Katalin Oláh, Levente Kriskovics · 2017

  55. Tacotron: Towards End-to-End Speech Synthesis

    Yuxuan Wang, RJ Skerry-Ryan, Daisy Stanton, Yonghui Wu, Ron J. Weiss, Navdeep Jaitly, Zongheng Yang, Ying Xiao, Zhifeng Chen, Samy Bengio, Quoc Le, Yannis Agiomyrgiannakis, Rob Clark, Rif A. Saurous · 2017

  56. I CAN HAS SUPERCOMPUTER? A Novel Approach to Teaching Parallel and Distributed Computing Concepts Using a Meme-Based Programming Language

    David Richie, James Ross · 2017

  57. Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks

    Andrea Soltoggio, Kenneth O. Stanley, Sebastian Risi · 2017

  58. Detecting the Ultimate Power in the Universe with LSST

    Michael B. Lund · 2017

  59. A Neural Networks Approach to Predicting How Things Might Have Turned Out Had I Mustered the Nerve to Ask Barry Cottonfield to the Junior Prom Back in 1997

    Eve Armstrong · 2017

  60. Proof of László Fejes Tóth's zone conjecture

    Zilin Jiang, Alexandr Polyanskii · 2017

  61. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

    Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros · 2017

  62. Deep 3D Face Identification

    Donghyun Kim, Matthias Hernandez, Jongmoo Choi, Gerard Medioni · 2017

  63. Factorization tricks for LSTM networks

    Oleksii Kuchaiev, Boris Ginsburg · 2017

  64. Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach

    Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer · 2017

  65. EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

    Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer · 2017

  66. Learning Discourse-level Diversity for Neural Dialog Models using Conditional Variational Autoencoders

    Tiancheng Zhao, Ran Zhao, Maxine Eskenazi · 2017

  67. On the Impossibility of Supersized Machines

    Ben Garfinkel, Miles Brundage, Daniel Filan, Carrick Flynn, Jelena Luketina, Michael Page, Anders Sandberg, Andrew Snyder-Beattie, Max Tegmark · 2017

  68. Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

    Gintare Karolina Dziugaite, Daniel M. Roy · 2017

  69. Improved Training of Wasserstein GANs

    Ishaan Gulrajani, Faruk Ahmed, Martin Arjovsky, Vincent Dumoulin, Aaron Courville · 2017

  70. What Is the Best Way For Developers to Learn New Software Tools? An Empirical Comparison Between a Text and a Video Tutorial

    Verena Käfer, Daniel Kulesz, Stefan Wagner · 2017

  71. Snapshot Ensembles: Train 1, get M for free

    Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger · 2017

  72. Middle-Square Weyl Sequence RNG

    Bernard Widynski · 2017

  73. Faster Base64 Encoding and Decoding Using AVX2 Instructions

    Wojciech Muła, Daniel Lemire · 2017

  74. Quantum advantage with shallow circuits

    Sergey Bravyi, David Gosset, Robert Koenig · 2017

  75. No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis

    Rong Ge, Chi Jin, Yi Zheng · 2017

  76. Hierarchical Surface Prediction for 3D Object Reconstruction

    Christian Häne, Shubham Tulsiani, Jitendra Malik · 2017

  77. It Takes Two to Tango: Towards Theory of AI's Mind

    Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, Devi Parikh · 2017

  78. Restricted Recurrent Neural Tensor Networks: Exploiting Word Frequency and Compositionality

    Alexandre Salle, Aline Villavicencio · 2017

  79. Incorporating Signals into Optimal Trading

    Charles-Albert Lehalle, Eyal Neuman · 2017

  80. A History of Metaheuristics

    Kenneth Sorensen, Marc Sevaux, Fred Glover · 2017

  81. Using Echo State Networks for Cryptography

    Rajkumar Ramamurthy, Christian Bauckhage, Krisztian Buza, Stefan Wrobel · 2017

  82. Probabilistic Search for Structured Data via Probabilistic Programming and Nonparametric Bayes

    Feras Saad, Leonardo Casarsa, Vikash Mansinghka · 2017

  83. 0.5 Petabyte Simulation of a 45-Qubit Quantum Circuit

    Thomas Häner, Damian S. Steiger · 2017

  84. DyVEDeep: Dynamic Variable Effort Deep Neural Networks

    Sanjay Ganapathy, Swagath Venkataramani, Balaraman Ravindran, Anand Raghunathan · 2017

  85. Learning Approximately Objective Priors

    Eric Nalisnick, Padhraic Smyth · 2017

  86. Neural Message Passing for Quantum Chemistry

    Justin Gilmer, Samuel S. Schoenholz, Patrick F. Riley, Oriol Vinyals, George E. Dahl · 2017

  87. Perceived Performance of Webpages In the Wild: Insights from Large-scale Crowdsourcing of Above-the-Fold QoE

    Qingzhu Gao, Prasenjit Dey, Parvez Ahammad · 2017

  88. Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

    Jesse Engel, Cinjon Resnick, Adam Roberts, Sander Dieleman, Douglas Eck, Karen Simonyan, Mohammad Norouzi · 2017

  89. Smart Mining for Deep Metric Learning

    Ben Harwood, Vijay Kumar B G, Gustavo Carneiro, Ian Reid, Tom Drummond · 2017

  90. Blockchain Inefficiency in the Bitcoin Peers Network

    Giuseppe Pappalardo, T. Di Matteo, Guido Caldarelli, Tomaso Aste · 2017

  91. Learning to Generate Reviews and Discovering Sentiment

    Alec Radford, Rafal Jozefowicz, Ilya Sutskever · 2017

  92. Convolutional Neural Networks for Page Segmentation of Historical Document Images

    Kai Chen, Mathias Seuret · 2017

  93. Using Cognitive Computing for Learning Parallel Programming: An IBM Watson Solution

    Adrian Calvo Chozas, Suejb Memeti, Sabri Pllana · 2017

  94. Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design

    Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua · 2017

  95. Best Practices for Applying Deep Learning to Novel Applications

    Leslie N. Smith · 2017

  96. Nonnegative/binary matrix factorization with a D-Wave quantum annealer

    Daniel O'Malley, Velimir V. Vesselinov, Boian S. Alexandrov, Ludmil B. Alexandrov · 2017

  97. Learning Combinatorial Optimization Algorithms over Graphs

    Hanjun Dai, Elias B. Khalil, Yuyu Zhang, Bistra Dilkina, Le Song · 2017

  98. A Syntactic Neural Model for General-Purpose Code Generation

    Pengcheng Yin, Graham Neubig · 2017

  99. A Proof of the CSP Dichotomy Conjecture

    Dmitriy Zhuk · 2017

  100. BEAT: An Open-Source Web-Based Open-Science Platform

    André Anjos, Laurent El-Shafey, Sébastien Marcel · 2017