HackerPapers

All paper pages

28734 retained paper pages. Page 89 of 288.

  1. GPS-Based Vehicle Tracking System-on-Chip

    Adnan I. Yaqzan, Issam W. Damaj, Rached N. Zantout · 2019

  2. Learning gradient-based ICA by neurally estimating mutual information

    Hlynur Davíð Hlynsson, Laurenz Wiskott · 2019

  3. Topological Field Theory and Phase Transition

    Jing Zhou, Jialun Ping · 2019

  4. Attention Augmented Convolutional Networks

    Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le · 2019

  5. Communication and Code Dependency Effects on Software Code Quality: An Empirical Analysis of Herbsleb Hypothesis

    Suvodeep Majumder, Joymallya Chakraborty, Amritanshu Agrawal, Tim Menzies · 2019

  6. Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness

    Greg Anderson, Shankara Pailoor, Isil Dillig, Swarat Chaudhuri · 2019

  7. The MineRL 2019 Competition on Sample Efficient Reinforcement Learning using Human Priors

    William H. Guss, Cayden Codel, Katja Hofmann, Brandon Houghton, Noboru Kuno, Stephanie Milani, Sharada Mohanty, Diego Perez Liebana, Ruslan Salakhutdinov, Nicholay Topin, Manuela Veloso, Phillip Wang · 2019

  8. Late Breaking Results: New Computational Results and Hardware Prototypes for Oscillator-based Ising Machines

    Tianshi Wang, Leon Wu, Jaijeet Roychowdhury · 2019

  9. Quaternion Knowledge Graph Embeddings

    Shuai Zhang, Yi Tay, Lina Yao, Qi Liu · 2019

  10. Generative deep fields: arbitrarily sized, random synthetic astronomical images through deep learning

    Michael J. Smith, James E. Geach · 2019

  11. Is coding a relevant metaphor for building AI? A commentary on "Is coding a relevant metaphor for the brain?", by Romain Brette

    Adam Santoro, Felix Hill, David Barrett, David Raposo, Matthew Botvinick, Timothy Lillicrap · 2019

  12. Big Math and the One-Brain Barrier A Position Paper and Architecture Proposal

    Jacques Carette, William M. Farmer, Michael Kohlhase, Florian Rabe · 2019

  13. Generating Long Sequences with Sparse Transformers

    Rewon Child, Scott Gray, Alec Radford, Ilya Sutskever · 2019

  14. Deconstructing the Filter Bubble: User Decision-Making and Recommender Systems

    Guy Aridor, Duarte Goncalves, Shan Sikdar · 2019

  15. Fixed-Depth Two-Qubit Circuits and the Monodromy Polytope

    Eric C. Peterson, Gavin E. Crooks, Robert S. Smith · 2019

  16. Handoff All Your Privacy: A Review of Apple's Bluetooth Low Energy Continuity Protocol

    Jeremy Martin, Douglas Alpuche, Kristina Bodeman, Lamont Brown, Ellis Fenske, Lucas Foppe, Travis Mayberry, Erik C. Rye, Brandon Sipes, Sam Teplov · 2019

  17. Security Analysis of Near-Field Communication (NFC) Payments

    Dennis Giese, Kevin Liu, Michael Sun, Tahin Syed, Linda Zhang · 2019

  18. Low-Memory Neural Network Training: A Technical Report

    Nimit S. Sohoni, Christopher R. Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré · 2019

  19. The Scientific Method in the Science of Machine Learning

    Jessica Zosa Forde, Michela Paganini · 2019

  20. First observation of two-neutrino double electron capture in $^{124}$Xe with XENON1T

    E. Aprile, J. Aalbers, F. Agostini, M. Alfonsi, L. Althueser, F. D. Amaro, M. Anthony, V. C. Antochi, F. Arneodo, L. Baudis, B. Bauermeister, M. L. Benabderrahmane, T. Berger, P. A. Breur, A. Brown, A. Brown, E. Brown, S. Bruenner, G. Bruno, R. Budnik, C. Capelli, J. M. R. Cardoso, D. Cichon, D. Coderre, A. P. Colijn, J. Conrad, J. P. Cussonneau, M. P. Decowski, P. de Perio, P. Di Gangi, A. Di Giovanni, S. Diglio, A. Elykov, G. Eurin, J. Fei, A. D. Ferella, A. Fieguth, W. Fulgione, A. Gallo Rosso, M. Galloway, F. Gao, M. Garbini, L. Grandi, Z. Greene, C. Hasterok, E. Hogenbirk, J. Howlett, M. Iacovacci, R. Itay, F. Joerg, S. Kazama, B. Kaminsky, A. Kish, G. Koltman, A. Kopec, H. Landsman, R. F. Lang, L. Levinson, Q. Lin, S. Lindemann, M. Lindner, F. Lombardi, J. A. M. Lopes, E. López Fune, C. Macolino, J. Mahlstedt, A. Manfredini, F. Marignetti, T. Marrodán Undagoitia, J. Masbou, D. Masson, S. Mastroianni, M. Messina, K. Micheneau, K. Miller, A. Molinario, K. Morå, M. Murra, J. Naganoma, K. Ni, U. Oberlack, K. Odgers, B. Pelssers, R. Peres, F. Piastra, J. Pienaar, V. Pizzella, G. Plante, R. Podviianiuk, N. Priel, H. Qiu, D. Ramírez García, S. Reichard, B. Riedel, A. Rizzo, A. Rocchetti, N. Rupp, J. M. F. dos Santos, G. Sartorelli, N. Šarčević, M. Scheibelhut, S. Schindler, J. Schreiner, D. Schulte, M. Schumann, L. Scotto Lavina, M. Selvi, P. Shagin, E. Shockley, M. Silva, H. Simgen, C. Therreau, D. Thers, F. Toschi, G. Trinchero, C. Tunnell, N. Upole, M. Vargas, O. Wack, H. Wang, Z. Wang, Y. Wei, C. Weinheimer, D. Wenz, C. Wittweg, J. Wulf, Z. Xu, J. Ye, Y. Zhang, T. Zhu, J. P. Zopounidis · 2019

  21. Learning the Depths of Moving People by Watching Frozen People

    Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman · 2019

  22. Abstract Interpretation under Speculative Execution

    Meng Wu, Chao Wang · 2019

  23. Search for Non-Standard Sources of Parity Violation in Jets at $\sqrt s$=8 TeV with CMS Open Data

    Christopher G. Lester, Matthias Schott · 2019

  24. SafeStrings: Representing Strings as Structured Data

    David Kelly, Mark Marron, David Clark, Earl T. Barr · 2019

  25. Galaxy Zoo: Unwinding the Winding Problem - Observations of Spiral Bulge Prominence and Arm Pitch Angles Suggest Local Spiral Galaxies are Winding

    Karen L. Masters, Chris J. Lintott, Ross E. Hart, Sandor J. Kruk, Rebecca J. Smethurst, Kevin Casteels, William C. Keel, Brooke D. Simmons, Dennis Olivan Stanescu, Jean Tate, Satoshi Tomi · 2019

  26. MAC Protocols for Terahertz Communication: A Comprehensive Survey

    Saim Ghafoor, Noureddine Boujnah, Mubashir Husain Rehmani, Alan Davy · 2019

  27. Ray Interference: a Source of Plateaus in Deep Reinforcement Learning

    Tom Schaul, Diana Borsa, Joseph Modayil, Razvan Pascanu · 2019

  28. Theory of hyper-singular integrals and its application to the Navier-Stokes problem

    Alexander G. Ramm · 2019

  29. Derivative-free optimization methods

    Jeffrey Larson, Matt Menickelly, Stefan M. Wild · 2019

  30. Regular Expression Matching on billion-nodes Graphs

    Hongzhi Wang, Jiabao Han, Bin Shao, Jianzhong Li · 2019

  31. Neural Logic Machines

    Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou · 2019

  32. Think Again Networks and the Delta Loss

    Alexandre Salle, Marcelo Prates · 2019

  33. On Exact Computation with an Infinitely Wide Neural Net

    Sanjeev Arora, Simon S. Du, Wei Hu, Zhiyuan Li, Ruslan Salakhutdinov, Ruosong Wang · 2019

  34. Regulating AI: do we need new tools?

    Otello Ardovino, Jacopo Arpetti, Marco Delmastro · 2019

  35. A Practical Analysis of Rust's Concurrency Story

    Aditya Saligrama, Andrew Shen, Jon Gjengset · 2019

  36. A computational model for analytic column stores

    Eyal Rozenberg · 2019

  37. The Ideal Versus the Real: Revisiting the History of Virtual Machines and Containers

    Allison Randal · 2019

  38. Real numbers, data science and chaos: How to fit any dataset with a single parameter

    Laurent Boué · 2019

  39. Compact Fenwick trees for dynamic ranking and selection

    Stefano Marchini, Sebastiano Vigna · 2019

  40. Effective approximation of heat flow evolution of the Riemann $ξ$ function, and a new upper bound for the de Bruijn-Newman constant

    D. H. J. Polymath · 2019

  41. Parity Games: Zielonka's Algorithm in Quasi-Polynomial Time

    Paweł Parys · 2019

  42. Deep Learning-Based Video Coding: A Review and A Case Study

    Dong Liu, Yue Li, Jianping Lin, Houqiang Li, Feng Wu · 2019

  43. Venue Analytics: A Simple Alternative to Citation-Based Metrics

    Leonid Keselman · 2019

  44. The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

    Jiayuan Mao, Chuang Gan, Pushmeet Kohli, Joshua B. Tenenbaum, Jiajun Wu · 2019

  45. Graph Matching Networks for Learning the Similarity of Graph Structured Objects

    Yujia Li, Chenjie Gu, Thomas Dullien, Oriol Vinyals, Pushmeet Kohli · 2019

  46. Wave Physics as an Analog Recurrent Neural Network

    Tyler W. Hughes, Ian A. D. Williamson, Momchil Minkov, Shanhui Fan · 2019

  47. Unsupervised Data Augmentation for Consistency Training

    Qizhe Xie, Zihang Dai, Eduard Hovy, Minh-Thang Luong, Quoc V. Le · 2019

  48. Challenges of Real-World Reinforcement Learning

    Gabriel Dulac-Arnold, Daniel Mankowitz, Todd Hester · 2019

  49. Anytime Integrated Task and Motion Policies for Stochastic Environments

    Naman Shah, Deepak Kala Vasudevan, Kislay Kumar, Pranav Kamojjhala, Siddharth Srivastava · 2019

  50. Landmarks and Frontiers in Biological Fluid Dynamics

    John O. Dabiri · 2019

  51. The Risks of WebGL: Analysis, Evaluation and Detection

    Alex Belkin, Nethanel Gelernter, Israel Cidon · 2019

  52. Facial Pose Estimation by Deep Learning from Label Distributions

    Zhaoxiang Liu, Zezhou Chen, Jinqiang Bai, Shaohua Li, Shiguo Lian · 2019

  53. Property Inference for Deep Neural Networks

    Divya Gopinath, Hayes Converse, Corina S. Pasareanu, Ankur Taly · 2019

  54. Segmentation is All You Need

    Zehua Cheng, Yuxiang Wu, Zhenghua Xu, Thomas Lukasiewicz, Weiyang Wang · 2019

  55. Is Stellar As Secure As You Think?

    Minjeong Kim, Yujin Kwon, Yongdae Kim · 2019

  56. Survey of Dropout Methods for Deep Neural Networks

    Alex Labach, Hojjat Salehinejad, Shahrokh Valaee · 2019

  57. On Social Machines for Algorithmic Regulation

    Nello Cristianini, Teresa Scantamburlo · 2019

  58. A review of Quantum Cellular Automata

    Terry Farrelly · 2019

  59. Learning from Implicit Information in Natural Language Instructions for Robotic Manipulations

    Ozan Arkan Can, Pedro Zuidberg Dos Martires, Andreas Persson, Julian Gaal, Amy Loutfi, Luc De Raedt, Deniz Yuret, Alessandro Saffiotti · 2019

  60. Selfish Mining in Ethereum

    Cyril Grunspan, Ricardo Pérez-Marco · 2019

  61. Risk-Averse Explore-Then-Commit Algorithms for Finite-Time Bandits

    Ali Yekkehkhany, Ebrahim Arian, Mohammad Hajiesmaili, Rakesh Nagi · 2019

  62. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing

    Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan · 2019

  63. Deep Learning for Audio Signal Processing

    Hendrik Purwins, Bo Li, Tuomas Virtanen, Jan Schlüter, Shuo-yiin Chang, Tara Sainath · 2019

  64. Driving with Style: Inverse Reinforcement Learning in General-Purpose Planning for Automated Driving

    Sascha Rosbach, Vinit James, Simon Großjohann, Silviu Homoceanu, Stefan Roth · 2019

  65. ASER: A Large-scale Eventuality Knowledge Graph

    Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, Cane Wing-Ki Leung · 2019

  66. Quantum Computing as a High School Module

    Anastasia Perry, Ranbel Sun, Ciaran Hughes, Joshua Isaacson, Jessica Turner · 2019

  67. Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring?

    Yannis Smaragdakis · 2019

  68. Similarity of Neural Network Representations Revisited

    Simon Kornblith, Mohammad Norouzi, Honglak Lee, Geoffrey Hinton · 2019

  69. RadiX-Net: Structured Sparse Matrices for Deep Neural Networks

    Ryan A. Robinett, Jeremy Kepner · 2019

  70. Establishing the Quantum Supremacy Frontier with a 281 Pflop/s Simulation

    Benjamin Villalonga, Dmitry Lyakh, Sergio Boixo, Hartmut Neven, Travis S. Humble, Rupak Biswas, Eleanor G. Rieffel, Alan Ho, Salvatore Mandrà · 2019

  71. Full-stack Optimization for Accelerating CNNs with FPGA Validation

    Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong · 2019

  72. Learning higher-order sequential structure with cloned HMMs

    Antoine Dedieu, Nishad Gothoskar, Scott Swingle, Wolfgang Lehrach, Miguel Lázaro-Gredilla, Dileep George · 2019

  73. SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

    Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, Samuel R. Bowman · 2019

  74. Billion-scale semi-supervised learning for image classification

    I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan · 2019

  75. Large-scale weakly-supervised pre-training for video action recognition

    Deepti Ghadiyaram, Matt Feiszli, Du Tran, Xueting Yan, Heng Wang, Dhruv Mahajan · 2019

  76. Recurrent Convolutional Strategies for Face Manipulation Detection in Videos

    Ekraam Sabir, Jiaxin Cheng, Ayush Jaiswal, Wael AbdAlmageed, Iacopo Masi, Prem Natarajan · 2019

  77. Price of Privacy in the Keynesian Beauty Contest

    Hadi Elzayn, Zachary Schutzman · 2019

  78. Testing the no-hair theorem with GW150914

    Maximiliano Isi, Matthew Giesler, Will M. Farr, Mark A. Scheel, Saul A. Teukolsky · 2019

  79. Physicist's Journeys Through the AI World - A Topical Review. There is no royal road to unsupervised learning

    Imad Alhousseini, Wissam Chemissany, Fatima Kleit, Aly Nasrallah · 2019

  80. Browser Fingerprinting: A survey

    Pierre Laperdrix, Nataliia Bielova, Benoit Baudry, Gildas Avoine · 2019

  81. Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask

    Hattie Zhou, Janice Lan, Rosanne Liu, Jason Yosinski · 2019

  82. CharBot: A Simple and Effective Method for Evading DGA Classifiers

    Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock · 2019

  83. On the Impact of Memory Allocation on High-Performance Query Processing

    Dominik Durner, Viktor Leis, Thomas Neumann · 2019

  84. SinGAN: Learning a Generative Model from a Single Natural Image

    Tamar Rott Shaham, Tali Dekel, Tomer Michaeli · 2019

  85. Dark matter from scalar field fluctuations

    Tommi Tenkanen · 2019

  86. Scaling and Benchmarking Self-Supervised Visual Representation Learning

    Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra · 2019

  87. A Personalized Subreddit Recommendation Engine

    Abhishek K Das, Nikhil Bhat, Sukanto Guha, Janvi Palan · 2019

  88. Convolution, attention and structure embedding

    Jean-Marc Andreoli · 2019

  89. RedisGraph GraphBLAS Enabled Graph Database

    Pieter Cailliau, Tim Davis, Vijay Gadepally, Jeremy Kepner, Roi Lipman, Jeffrey Lovitz, Keren Ouaknine · 2019

  90. PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

    Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine · 2019

  91. Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors

    David Sun, Chengzheng Sun, Agustina Ng, Weiwei Cai · 2019

  92. TensorNetwork: A Library for Physics and Machine Learning

    Chase Roberts, Ashley Milsted, Martin Ganahl, Adam Zalcman, Bruce Fontaine, Yijian Zou, Jack Hidary, Guifre Vidal, Stefan Leichenauer · 2019

  93. A Survey on Neural Architecture Search

    Martin Wistuba, Ambrish Rawat, Tejaswini Pedapati · 2019

  94. On the Difficulty of Evaluating Baselines: A Study on Recommender Systems

    Steffen Rendle, Li Zhang, Yehuda Koren · 2019

  95. A Denotational Engineering of Programming Languages

    Blikle Andrzej · 2019

  96. Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications

    David Sun, Chengzheng Sun, Agustina Ng, Weiwei Cai · 2019

  97. Real Differences between OT and CRDT under a General Transformation Framework for Consistency Maintenance in Co-Editors

    Chengzheng Sun, David Sun, Agustina, Weiwei Cai · 2019

  98. Interpretability with Accurate Small Models

    Abhishek Ghose, Balaraman Ravindran · 2019

  99. A tour through Mirzakhani's work on moduli spaces of Riemann surfaces

    Alex Wright · 2019

  100. Understanding Perceptions of Problematic Facebook Use: When People Experience Negative Life Impact and a Lack of Control

    Justin Cheng, Moira Burke, Elena Goetz Davis · 2019