HackerPapers

All paper pages

28734 retained paper pages. Page 61 of 288.

  1. A partisan districting protocol with provably nonpartisan outcomes

    Wesley Pegden, Ariel D. Procaccia, Dingli Yu · 2017

  2. One pixel attack for fooling deep neural networks

    Jiawei Su, Danilo Vasconcellos Vargas, Sakurai Kouichi · 2017

  3. Evidence of an exponential speed-up in the solution of hard optimization problems

    Fabio L. Traversa, Pietro Cicotti, Forrest Sheldon, Massimiliano Di Ventra · 2017

  4. mixup: Beyond Empirical Risk Minimization

    Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz · 2017

  5. Casper the Friendly Finality Gadget

    Vitalik Buterin, Virgil Griffith · 2017

  6. Rethinking generalization requires revisiting old ideas: statistical mechanics approaches and complex learning behavior

    Charles H. Martin, Michael W. Mahoney · 2017

  7. Linear Haskell: practical linearity in a higher-order polymorphic language

    Jean-Philippe Bernardy, Mathieu Boespflug, Ryan R. Newton, Simon Peyton Jones, Arnaud Spiwack · 2017

  8. Dynamic Routing Between Capsules

    Sara Sabour, Nicholas Frosst, Geoffrey E Hinton · 2017

  9. How far did we get in face spoofing detection?

    Luiz Souza, Mauricio Pamplona, Luciano Oliveira, João Papa · 2017

  10. Espresso: Brewing Java For More Non-Volatility with Non-volatile Memory

    Mingyu Wu, Ziming Zhao, Haoyu Li, Heting Li, Haibo Chen, Binyu Zang, Haibing Guan · 2017

  11. SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data

    Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz · 2017

  12. Progressive Growing of GANs for Improved Quality, Stability, and Variation

    Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen · 2017

  13. Temporal Type Theory: A topos-theoretic approach to systems and behavior

    Patrick Schultz, David I. Spivak · 2017

  14. Learning Structural Node Embeddings Via Diffusion Wavelets

    Claire Donnat, Marinka Zitnik, David Hallac, Jure Leskovec · 2017

  15. The Implicit Bias of Gradient Descent on Separable Data

    Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Suriya Gunasekar, Nathan Srebro · 2017

  16. Consistency of Lipschitz learning with infinite unlabeled data and finite labeled data

    Jeff Calder · 2017

  17. Quantum attacks on Bitcoin, and how to protect against them

    Divesh Aggarwal, Gavin K. Brennen, Troy Lee, Miklos Santha, Marco Tomamichel · 2017

  18. Capturing the Future by Replaying the Past

    James Koppel, Gabriel Scherer, Armando Solar-Lezama · 2017

  19. Generalized End-to-End Loss for Speaker Verification

    Li Wan, Quan Wang, Alan Papir, Ignacio Lopez Moreno · 2017

  20. Learning to diagnose from scratch by exploiting dependencies among labels

    Li Yao, Eric Poblenz, Dmitry Dagunts, Ben Covington, Devon Bernard, Kevin Lyman · 2017

  21. High-Precision Localization Using Ground Texture

    Linguang Zhang, Adam Finkelstein, Szymon Rusinkiewicz · 2017

  22. Implicit Causal Models for Genome-wide Association Studies

    Dustin Tran, David M. Blei · 2017

  23. Understanding Hidden Memories of Recurrent Neural Networks

    Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu · 2017

  24. Understanding GANs: the LQG Setting

    Soheil Feizi, Farzan Farnia, Tony Ginart, David Tse · 2017

  25. Graph Attention Networks

    Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, Yoshua Bengio · 2017

  26. Unsupervised Neural Machine Translation

    Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho · 2017

  27. Remote quantum entanglement between two micromechanical oscillators

    Ralf Riedinger, Andreas Wallucks, Igor Marinkovic, Clemens Löschnauer, Markus Aspelmeyer, Sungkun Hong, Simon Gröblacher · 2017

  28. Onsets and Frames: Dual-Objective Piano Transcription

    Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck · 2017

  29. Evidence of Herding and Stubbornness in Jury Deliberations

    Keith Burghardt, William Rand, Michelle Girvan · 2017

  30. Generating Natural Adversarial Examples

    Zhengli Zhao, Dheeru Dua, Sameer Singh · 2017

  31. Kinematics of the Interstellar Vagabond 1I/'Oumuamua (A/2017 U1)

    Eric Mamajek · 2017

  32. Semantic Interpolation in Implicit Models

    Yannic Kilcher, Aurelien Lucchi, Thomas Hofmann · 2017

  33. The Slashdot Zoo: Mining a Social Network with Negative Edges

    Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage · 2017

  34. Direct detection of the 229Th nuclear clock transition

    Lars von der Wense, Benedict Seiferle, Mustapha Laatiaoui, Jürgen B. Neumayr, Hans-Jörg Maier, Hans-Friedrich Wirth, Christoph Mokry, Jörg Runke, Klaus Eberhardt, Christoph E. Düllmann, Norbert G. Trautmann, Peter G. Thirolf · 2017

  35. TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning

    Gregory Farquhar, Tim Rocktäschel, Maximilian Igl, Shimon Whiteson · 2017

  36. Regret Minimization for Partially Observable Deep Reinforcement Learning

    Peter Jin, Kurt Keutzer, Sergey Levine · 2017

  37. Dynamical effects of the scale invariance of the empty space: The fall of dark matter ?

    Andre Maeder · 2017

  38. Why (and How) Networks Should Run Themselves

    Nick Feamster, Jennifer Rexford · 2017

  39. Lower Bounds for Finding Stationary Points I

    Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford · 2017

  40. Network Models

    John C. Baez, John Foley, Joe Moeller, Blake S. Pollard · 2017

  41. Unsupervised Machine Translation Using Monolingual Corpora Only

    Guillaume Lample, Alexis Conneau, Ludovic Denoyer, Marc'Aurelio Ranzato · 2017

  42. Replace or Retrieve Keywords In Documents at Scale

    Vikash Singh · 2017

  43. Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction

    Daniel Stoller, Sebastian Ewert, Simon Dixon · 2017

  44. Countering Adversarial Images using Input Transformations

    Chuan Guo, Mayank Rana, Moustapha Cisse, Laurens van der Maaten · 2017

  45. Deep Neural Networks as Gaussian Processes

    Jaehoon Lee, Yasaman Bahri, Roman Novak, Samuel S. Schoenholz, Jeffrey Pennington, Jascha Sohl-Dickstein · 2017

  46. Fast Dynamic Arrays

    Philip Bille, Anders Roy Christiansen, Mikko Berggren Ettienne, Inge Li Gørtz · 2017

  47. An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting

    Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin · 2017

  48. Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

    Brenden M. Lake, Marco Baroni · 2017

  49. Snow Queen is Evil and Beautiful: Experimental Evidence for Probabilistic Contextuality in Human Choices

    Victor H. Cervantes, Ehtibar N. Dzhafarov · 2017

  50. Hierarchical Representations for Efficient Architecture Search

    Hanxiao Liu, Karen Simonyan, Oriol Vinyals, Chrisantha Fernando, Koray Kavukcuoglu · 2017

  51. Learning with Latent Language

    Jacob Andreas, Dan Klein, Sergey Levine · 2017

  52. Uncovering Latent Style Factors for Expressive Speech Synthesis

    Yuxuan Wang, RJ Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous · 2017

  53. ALMA Discovery of Dust Belts Around Proxima Centauri

    Guillem Anglada, Pedro J. Amado, Jose L. Ortiz, José F. Gómez, Enrique Macías, Antxon Alberdi, Mayra Osorio, José L. Gómez, Itziar de Gregorio-Monsalvo, Miguel A. Pérez-Torres, Guillem Anglada-Escudé, Zaira M. Berdiñas, James S. Jenkins, Izaskun Jimenez-Serra, Luisa M. Lara, Maria J. López-González, Manuel López-Puertas, Nicolas Morales, Ignasi Ribas, Anita M. S. Richards, Cristina Rodríguez-López, Eloy Rodriguez · 2017

  54. TCPSnitch: Dissecting the Usage of the Socket API

    Gregory Vander Schueren, Quentin De Coninck, Olivier Bonaventure · 2017

  55. Scientists in silico?

    Carl McBride · 2017

  56. Learning to Represent Programs with Graphs

    Miltiadis Allamanis, Marc Brockschmidt, Mahmoud Khademi · 2017

  57. Magnitude homology of enriched categories and metric spaces

    Tom Leinster, Michael Shulman · 2017

  58. A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

    Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Perolat, David Silver, Thore Graepel · 2017

  59. Lower Bounds for Finding Stationary Points II: First-Order Methods

    Yair Carmon, John C. Duchi, Oliver Hinder, Aaron Sidford · 2017

  60. The (Un)reliability of saliency methods

    Pieter-Jan Kindermans, Sara Hooker, Julius Adebayo, Maximilian Alber, Kristof T. Schütt, Sven Dähne, Dumitru Erhan, Been Kim · 2017

  61. Neural Discrete Representation Learning

    Aaron van den Oord, Oriol Vinyals, Koray Kavukcuoglu · 2017

  62. Automated Detection, Exploitation, and Elimination of Double-Fetch Bugs using Modern CPU Features

    Michael Schwarz, Daniel Gruss, Moritz Lipp, Clémentine Maurice, Thomas Schuster, Anders Fogh, Stefan Mangard · 2017

  63. Binary Linear Codes with Optimal Scaling: Polar Codes with Large Kernels

    Arman Fazeli, S. Hamed Hassani, Marco Mondelli, Alexander Vardy · 2017

  64. Reconstructing Video from Interferometric Measurements of Time-Varying Sources

    Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman · 2017

  65. A deceptive step towards quantum speedup detection

    Salvatore Mandrà, Helmut G. Katzgraber · 2017

  66. An introduction to univalent foundations for mathematicians

    Daniel R. Grayson · 2017

  67. Fisher-Rao Metric, Geometry, and Complexity of Neural Networks

    Tengyuan Liang, Tomaso Poggio, Alexander Rakhlin, James Stokes · 2017

  68. Wasserstein Auto-Encoders

    Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf · 2017

  69. Discovery of a big void in Khufu's Pyramid by observation of cosmic-ray muons

    Kunihiro Morishima, Mitsuaki Kuno, Akira Nishio, Nobuko Kitagawa, Yuta Manabe, Masaki Moto, Fumihiko Takasaki, Hirofumi Fujii, Kotaro Satoh, Hideyo Kodama, Kohei Hayashi, Shigeru Odaka, Sébastien Procureur, David Attié, Simon Bouteille, Denis Calvet, Christopher Filosa, Patrick Magnier, Irakli Mandjavidze, Marc Riallot, Benoit Marini, Pierre Gable, Yoshikatsu Date, Makiko Sugiura, Yasser Elshayeb, Tamer Elnady, Mustapha Ezzy, Emmanuel Guerriero, Vincent Steiger, Nicolas Serikoff, Jean-Baptiste Mouret, Bernard Charlès, Hany Helal, Mehdi Tayoubi · 2017

  70. Estimating Cosmological Parameters from the Dark Matter Distribution

    Siamak Ravanbakhsh, Junier Oliva, Sebastien Fromenteau, Layne C. Price, Shirley Ho, Jeff Schneider, Barnabas Poczos · 2017

  71. Someone shouts, "|01000>!" Who is Excited?

    Robert S. Smith · 2017

  72. Bounding and Counting Linear Regions of Deep Neural Networks

    Thiago Serra, Christian Tjandraatmadja, Srikumar Ramalingam · 2017

  73. A Joint 3D-2D based Method for Free Space Detection on Roads

    Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee · 2017

  74. Riddled Basins of Attraction in Systems Exhibiting Extreme Events

    Arindam Saha, Ulrike Feudel · 2017

  75. Unsupervised Learning of Semantic Audio Representations

    Aren Jansen, Manoj Plakal, Ratheet Pandya, Daniel P. W. Ellis, Shawn Hershey, Jiayang Liu, R. Channing Moore, Rif A. Saurous · 2017

  76. StealthDB: a Scalable Encrypted Database with Full SQL Query Support

    Alexey Gribov, Dhinakaran Vinayagamurthy, Sergey Gorbunov · 2017

  77. Non-Autoregressive Neural Machine Translation

    Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher · 2017

  78. Variational Walkback: Learning a Transition Operator as a Stochastic Recurrent Net

    Anirudh Goyal, Nan Rosemary Ke, Surya Ganguli, Yoshua Bengio · 2017

  79. Cortical microcircuits as gated-recurrent neural networks

    Rui Ponte Costa, Yannis M. Assael, Brendan Shillingford, Nando de Freitas, Tim P. Vogels · 2017

  80. Shape Representation by Zippable Ribbons

    Christian Schüller, Roi Poranne, Olga Sorkine-Hornung · 2017

  81. Self-referential basis of undecidable dynamics: from The Liar Paradox and The Halting Problem to The Edge of Chaos

    Mikhail Prokopenko, Michael Harré, Joseph Lizier, Fabio Boschetti, Pavlos Peppas, Stuart Kauffman · 2017

  82. Quaternion kinematics for the error-state Kalman filter

    Joan Solà · 2017

  83. Image Captioning and Classification of Dangerous Situations

    Octavio Arriaga, Paul Plöger, Matias Valdenegro-Toro · 2017

  84. Sequential Keystroke Behavioral Biometrics for Mobile User Identification via Multi-view Deep Learning

    Lichao Sun, Yuqi Wang, Bokai Cao, Philip S. Yu, Witawas Srisa-an, Alex D Leow · 2017

  85. Variational Gaussian Dropout is not Bayesian

    Jiri Hron, Alexander G. de G. Matthews, Zoubin Ghahramani · 2017

  86. DLVM: A modern compiler infrastructure for deep learning systems

    Richard Wei, Lane Schwartz, Vikram Adve · 2017

  87. A Cross-Country Comparison of Crowdworker Motivations

    Lisa Posch, Arnim Bleier, Fabian Flöck, Markus Strohmaier · 2017

  88. MarrNet: 3D Shape Reconstruction via 2.5D Sketches

    Jiajun Wu, Yifan Wang, Tianfan Xue, Xingyuan Sun, William T Freeman, Joshua B Tenenbaum · 2017

  89. Project Lyra: Sending a Spacecraft to 1I/'Oumuamua (former A/2017 U1), the Interstellar Asteroid

    Andreas M. Hein, Nikolaos Perakis, T. Marshall Eubanks, Adam Hibberd, Adam Crowl, Kieran Hayward, Robert G. Kennedy, Richard Osborne · 2017

  90. CyCADA: Cycle-Consistent Adversarial Domain Adaptation

    Judy Hoffman, Eric Tzeng, Taesung Park, Jun-Yan Zhu, Phillip Isola, Kate Saenko, Alexei A. Efros, Trevor Darrell · 2017

  91. Exfiltration of Data from Air-gapped Networks via Unmodulated LED Status Indicators

    Zheng Zhou, Weiming Zhang, Zichong Yang, Nenghai Yu · 2017

  92. Reversing the direction of heat flow using quantum correlations

    Kaonan Micadei, John P. S. Peterson, Alexandre M. Souza, Roberto S. Sarthour, Ivan S. Oliveira, Gabriel T. Landi, Tiago B. Batalhão, Roberto M. Serra, Eric Lutz · 2017

  93. SAIC: Identifying Configuration Files for System Configuration Management

    Zhen Huang, David Lie · 2017

  94. Constraints on physical reality arising from a formalization of knowledge

    David Wolpert · 2017

  95. DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

    Akshay Sethi, Anush Sankaran, Naveen Panwar, Shreya Khare, Senthil Mani · 2017

  96. Human Exposure to RF Fields in 5G Downlink

    Imtiaz Nasim, Seungmo Kim · 2017

  97. Neural-Symbolic Learning and Reasoning: A Survey and Interpretation

    Tarek R. Besold, Artur d'Avila Garcez, Sebastian Bader, Howard Bowman, Pedro Domingos, Pascal Hitzler, Kai-Uwe Kuehnberger, Luis C. Lamb, Daniel Lowd, Priscila Machado Vieira Lima, Leo de Penning, Gadi Pinkas, Hoifung Poon, Gerson Zaverucha · 2017

  98. Predicting Chroma from Luma in AV1

    Luc N. Trudeau, Nathan E. Egge, David Barr · 2017

  99. Breaking the Softmax Bottleneck: A High-Rank RNN Language Model

    Zhilin Yang, Zihang Dai, Ruslan Salakhutdinov, William W. Cohen · 2017

  100. Mathematics of Isogeny Based Cryptography

    Luca De Feo · 2017