HackerPapers

All paper pages

28734 retained paper pages. Page 63 of 288.

  1. Progressive Neural Architecture Search

    Chenxi Liu, Barret Zoph, Maxim Neumann, Jonathon Shlens, Wei Hua, Li-Jia Li, Li Fei-Fei, Alan Yuille, Jonathan Huang, Kevin Murphy · 2017

  2. Will humans even write code in 2040 and what would that mean for extreme heterogeneity in computing?

    Jay Jay Billings, Alexander J. McCaskey, Geoffroy Vallee, Greg Watson · 2017

  3. Exact Solution for Flat Scale-Invariant Cosmology

    J. F. Jesus · 2017

  4. Vprop: Variational Inference using RMSprop

    Mohammad Emtiyaz Khan, Zuozhu Liu, Voot Tangkaratt, Yarin Gal · 2017

  5. Introspection for C and its Applications to Library Robustness

    Manuel Rigger, Rene Mayrhofer, Roland Schatz, Matthias Grimmer, Hanspeter Mössenböck · 2017

  6. The Case for Learned Index Structures

    Tim Kraska, Alex Beutel, Ed H. Chi, Jeffrey Dean, Neoklis Polyzotis · 2017

  7. On the linkability of Zcash transactions

    Jeffrey Quesnelle · 2017

  8. Learning Sparse Neural Networks through $L_0$ Regularization

    Christos Louizos, Max Welling, Diederik P. Kingma · 2017

  9. Visual to Sound: Generating Natural Sound for Videos in the Wild

    Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg · 2017

  10. G-CORE: A Core for Future Graph Query Languages

    Renzo Angles, Marcelo Arenas, Pablo Barceló, Peter Boncz, George H. L. Fletcher, Claudio Gutierrez, Tobias Lindaaker, Marcus Paradies, Stefan Plantikow, Juan Sequeda, Oskar van Rest, Hannes Voigt · 2017

  11. Differentially Private Dropout

    Beyza Ermis, Ali Taylan Cemgil · 2017

  12. State-of-the-art Speech Recognition With Sequence-to-Sequence Models

    Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani · 2017

  13. Hot Streaks in Artistic, Cultural, and Scientific Careers

    Lu Liu, Yang Wang, Roberta Sinatra, C. Lee Giles, Chaoming Song, Dashun Wang · 2017

  14. Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

    David Silver, Thomas Hubert, Julian Schrittwieser, Ioannis Antonoglou, Matthew Lai, Arthur Guez, Marc Lanctot, Laurent Sifre, Dharshan Kumaran, Thore Graepel, Timothy Lillicrap, Karen Simonyan, Demis Hassabis · 2017

  15. Could the physical world be emergent instead of fundamental, and why should we ask? (short version)

    Markus P. Mueller · 2017

  16. Law without law: from observer states to physics via algorithmic information theory

    Markus P. Mueller · 2017

  17. An 800-million-solar-mass black hole in a significantly neutral Universe at redshift 7.5

    E. Bañados, B. P. Venemans, C. Mazzucchelli, E. P. Farina, F. Walter, F. Wang, R. Decarli, D. Stern, X. Fan, F. B. Davies, J. F. Hennawi, R. A. Simcoe, M. L. Turner, H-W. Rix, J. Yang, D. D. Kelson, G. C. Rudie, J. M. Winters · 2017

  18. Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

    Yujun Lin, Song Han, Huizi Mao, Yu Wang, William J. Dally · 2017

  19. Online Learning with Gated Linear Networks

    Joel Veness, Tor Lattimore, Avishkar Bhoopchand, Agnieszka Grabska-Barwinska, Christopher Mattern, Peter Toth · 2017

  20. Selective Jamming of LoRaWAN using Commodity Hardware

    Emekcan Aras, Nicolas Small, Gowri Sankar Ramachandran, Stéphane Delbruel, Wouter Joosen, Danny Hughes · 2017

  21. Adversarial Examples that Fool Detectors

    Jiajun Lu, Hussein Sibai, Evan Fabry · 2017

  22. Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing

    Syed Shakib Sarwar, Aayush Ankit, Kaushik Roy · 2017

  23. Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction

    Garrett B. Goh, Charles Siegel, Abhinav Vishnu, Nathan O. Hodas · 2017

  24. Exploring the Landscape of Spatial Robustness

    Logan Engstrom, Brandon Tran, Dimitris Tsipras, Ludwig Schmidt, Aleksander Madry · 2017

  25. One More Way to Encrypt a Message

    Irina Pashchenko · 2017

  26. "Space is blue and birds fly through it"

    Carlo Rovelli · 2017

  27. CycleGAN, a Master of Steganography

    Casey Chu, Andrey Zhmoginov, Mark Sandler · 2017

  28. Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

    Battista Biggio, Fabio Roli · 2017

  29. Nintendo Super Smash Bros. Melee: An "Untouchable" Agent

    Ben Parr, Deepak Dilipkumar, Yuan Liu · 2017

  30. Peephole: Predicting Network Performance Before Training

    Boyang Deng, Junjie Yan, Dahua Lin · 2017

  31. Exploiting WiFi Channel State Information for Residential Healthcare Informatics

    Bo Tan, Qingchao Chen, Kevin Chetty, Karl Woodbridge, Wenda Li, Robert Piechocki · 2017

  32. Capsule Network Performance on Complex Data

    Edgar Xi, Selina Bing, Yang Jin · 2017

  33. Linear regression over the max-plus semiring: algorithms and applications

    James Hook · 2017

  34. DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

    Han Wang, Linfeng Zhang, Jiequn Han, Weinan E · 2017

  35. The European Quantum Technologies Roadmap

    Antonio Acín, Immanuel Bloch, Harry Buhrman, Tommaso Calarco, Christopher Eichler, Jens Eisert, Daniel Esteve, Nicolas Gisin, Steffen J. Glaser, Fedor Jelezko, Stefan Kuhr, Maciej Lewenstein, Max F. Riedel, Piet O. Schmidt, Rob Thew, Andreas Wallraff, Ian Walmsley, Frank K. Wilhelm · 2017

  36. NestedNet: Learning Nested Sparse Structures in Deep Neural Networks

    Eunwoo Kim, Chanho Ahn, Songhwai Oh · 2017

  37. Deep Learning for IoT Big Data and Streaming Analytics: A Survey

    Mehdi Mohammadi, Ala Al-Fuqaha, Sameh Sorour, Mohsen Guizani · 2017

  38. AI Safety and Reproducibility: Establishing Robust Foundations for the Neuropsychology of Human Values

    Gopal P. Sarma, Nick J. Hay, Adam Safron · 2017

  39. Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks

    Alexander Sage, Eirikur Agustsson, Radu Timofte, Luc Van Gool · 2017

  40. Deception Detection in Videos

    Zhe Wu, Bharat Singh, Larry S. Davis, V. S. Subrahmanian · 2017

  41. Learning From Noisy Singly-labeled Data

    Ashish Khetan, Zachary C. Lipton, Anima Anandkumar · 2017

  42. Deep Quaternion Networks

    Chase Gaudet, Anthony Maida · 2017

  43. Mathematics of Deep Learning

    Rene Vidal, Joan Bruna, Raja Giryes, Stefano Soatto · 2017

  44. The dynamics of difference

    Lee Smolin · 2017

  45. Identifying Exoplanets with Deep Learning: A Five Planet Resonant Chain around Kepler-80 and an Eighth Planet around Kepler-90

    Christopher J. Shallue, Andrew Vanderburg · 2017

  46. Fourteen Years of Software Engineering at ETH Zurich

    Bertrand Meyer · 2017

  47. Secure Encrypted Virtualization is Unsecure

    Zhao-Hui Du, Zhiwei Ying, Zhenke Ma, Yufei Mai, Phoebe Wang, Jesse Liu, Jesse Fang · 2017

  48. A quantum algorithm to train neural networks using low-depth circuits

    Guillaume Verdon, Michael Broughton, Jacob Biamonte · 2017

  49. The Potential Impact of Quantum Computers on Society

    Ronald de Wolf · 2017

  50. Equilibria in the Tangle

    Serguei Popov, Olivia Saa, Paulo Finardi · 2017

  51. Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

    Xinyun Chen, Chang Liu, Bo Li, Kimberly Lu, Dawn Song · 2017

  52. Design of Quantum Annealing Machine for Prime Factoring

    M. Maezawa, K. Imafuku, M. Hidaka, H. Koike, S. Kawabata · 2017

  53. The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions

    George Philipp, Dawn Song, Jaime G. Carbonell · 2017

  54. Health Data in an Open World

    Chris Culnane, Benjamin I. P. Rubinstein, Vanessa Teague · 2017

  55. Unsupervised Machine Learning on a Hybrid Quantum Computer

    J. S. Otterbach, R. Manenti, N. Alidoust, A. Bestwick, M. Block, B. Bloom, S. Caldwell, N. Didier, E. Schuyler Fried, S. Hong, P. Karalekas, C. B. Osborn, A. Papageorge, E. C. Peterson, G. Prawiroatmodjo, N. Rubin, Colm A. Ryan, D. Scarabelli, M. Scheer, E. A. Sete, P. Sivarajah, Robert S. Smith, A. Staley, N. Tezak, W. J. Zeng, A. Hudson, Blake R. Johnson, M. Reagor, M. P. da Silva, C. Rigetti · 2017

  56. A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

    Kotaro Hara, Abi Adams, Kristy Milland, Saiph Savage, Chris Callison-Burch, Jeffrey Bigham · 2017

  57. Behavior Revealed in Mobile Phone Usage Predicts Loan Repayment

    Daniel Björkegren, Darrell Grissen · 2017

  58. Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

    Benoit Jacob, Skirmantas Kligys, Bo Chen, Menglong Zhu, Matthew Tang, Andrew Howard, Hartwig Adam, Dmitry Kalenichenko · 2017

  59. Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

    Jonathan Shen, Ruoming Pang, Ron J. Weiss, Mike Schuster, Navdeep Jaitly, Zongheng Yang, Zhifeng Chen, Yu Zhang, Yuxuan Wang, RJ Skerry-Ryan, Rif A. Saurous, Yannis Agiomyrgiannakis, Yonghui Wu · 2017

  60. Ray: A Distributed Framework for Emerging AI Applications

    Philipp Moritz, Robert Nishihara, Stephanie Wang, Alexey Tumanov, Richard Liaw, Eric Liang, Melih Elibol, Zongheng Yang, William Paul, Michael I. Jordan, Ion Stoica · 2017

  61. SRPGAN: Perceptual Generative Adversarial Network for Single Image Super Resolution

    Bingzhe Wu, Haodong Duan, Zhichao Liu, Guangyu Sun · 2017

  62. Population polarization dynamics and next-generation social media algorithms

    N. F. Johnson, P. Manrique, M. Zheng, Z. Cao, J. Botero, S. Huang, N. Aden, C. Song, J. Leady, N. Velasquez, E. M. Restrepo · 2017

  63. Integral Equations and Machine Learning

    Alexander Keller, Ken Dahm · 2017

  64. Generating and designing DNA with deep generative models

    Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey · 2017

  65. The Wisdom of Polarized Crowds

    Feng Shi, Misha Teplitskiy, Eamon Duede, James Evans · 2017

  66. Critical neural networks with short and long term plasticity

    L. Michiels van Kessenich, M. Luković, L. de Arcangelis, H. J. Herrmann · 2017

  67. Spectroscopy and thermal modelling of the first interstellar object 1I/2017 U1 'Oumuamua

    Alan Fitzsimmons, Colin Snodgrass, Ben Rozitis, Bin Yang, Meabh Hyland, Tom Seccull, Michele T. Bannister, Wesley C. Fraser, Robert Jedicke, Pedro Lacerda · 2017

  68. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning

    Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune · 2017

  69. Objects that Sound

    Relja Arandjelović, Andrew Zisserman · 2017

  70. HotFlip: White-Box Adversarial Examples for Text Classification

    Javid Ebrahimi, Anyi Rao, Daniel Lowd, Dejing Dou · 2017

  71. A comparison of web privacy protection techniques

    Johan Mazel, Richard Garnier, Kensuke Fukuda · 2017

  72. An anthropological account of the Vim text editor: features and tweaks after 10 years of usage

    Renato Fabbri · 2017

  73. The NarrativeQA Reading Comprehension Challenge

    Tomáš Kočiský, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, Edward Grefenstette · 2017

  74. Adversarial Examples: Attacks and Defenses for Deep Learning

    Xiaoyong Yuan, Pan He, Qile Zhu, Xiaolin Li · 2017

  75. A Flexible Approach to Automated RNN Architecture Generation

    Martin Schrimpf, Stephen Merity, James Bradbury, Richard Socher · 2017

  76. Quantum approaches to music cognition

    Peter beim Graben, Reinhard Blutner · 2017

  77. Dataflow Matrix Machines and V-values: a Bridge between Programs and Neural Nets

    Michael Bukatin, Jon Anthony · 2017

  78. Improving Generalization Performance by Switching from Adam to SGD

    Nitish Shirish Keskar, Richard Socher · 2017

  79. SuperPoint: Self-Supervised Interest Point Detection and Description

    Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich · 2017

  80. Image Segmentation to Distinguish Between Overlapping Human Chromosomes

    R. Lily Hu, Jeremy Karnowski, Ross Fadely, Jean-Patrick Pommier · 2017

  81. SENR/NRPy+: Numerical Relativity in Singular Curvilinear Coordinate Systems

    Ian Ruchlin, Zachariah B. Etienne, Thomas W. Baumgarte · 2017

  82. ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

    Yuan Yuan, Wolfgang Banzhaf · 2017

  83. Acoustic Denial of Service Attacks on HDDs

    Mohammad Shahrad, Arsalan Mosenia, Liwei Song, Mung Chiang, David Wentzlaff, Prateek Mittal · 2017

  84. Non-convex Optimization for Machine Learning

    Prateek Jain, Purushottam Kar · 2017

  85. A Unifying Theory of Dark Energy and Dark Matter: Negative Masses and Matter Creation within a Modified $Λ$CDM Framework

    J. S. Farnes · 2017

  86. Understanding and Improving the Latency of DRAM-Based Memory Systems

    Kevin K. Chang · 2017

  87. Contour: A Practical System for Binary Transparency

    Mustafa Al-Bassam, Sarah Meiklejohn · 2017

  88. On the quantum "self-teleportation" probability of a human body

    Massimiliano Sassoli de Bianchi · 2017

  89. Feature Extraction and Feature Selection: Reducing Data Complexity with Apache Spark

    Dimitrios Sisiaridis, Olivier Markowitch · 2017

  90. DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car

    Michael G. Bechtel, Elise McEllhiney, Minje Kim, Heechul Yun · 2017

  91. On the Universality of Memcomputing Machines

    Yan Ru Pei, Fabio L. Traversa, Massimiliano Di Ventra · 2017

  92. Freebase-triples: A Methodology for Processing the Freebase Data Dumps

    Niel Chah · 2017

  93. Lectures on Randomized Numerical Linear Algebra

    Petros Drineas, Michael W. Mahoney · 2017

  94. A Survey of FPGA-Based Neural Network Accelerator

    Kaiyuan Guo, Shulin Zeng, Jincheng Yu, Yu Wang, Huazhong Yang · 2017

  95. An improved sieve of Eratosthenes

    Harald Andres Helfgott · 2017

  96. Muon Radiation Dose and Marine Megafaunal Extinction at the end-Pliocene Supernova

    Adrian L. Melott, Franciole Marinho, Laura Paulucci · 2017

  97. RLlib: Abstractions for Distributed Reinforcement Learning

    Eric Liang, Richard Liaw, Philipp Moritz, Robert Nishihara, Roy Fox, Ken Goldberg, Joseph E. Gonzalez, Michael I. Jordan, Ion Stoica · 2017

  98. Advances in Pre-Training Distributed Word Representations

    Tomas Mikolov, Edouard Grave, Piotr Bojanowski, Christian Puhrsch, Armand Joulin · 2017

  99. Cuckoo++ Hash Tables: High-Performance Hash Tables for Networking Applications

    Nicolas Le Scouarnec · 2017

  100. Analysis of Concurrent Lock-Free Hash Tries with Constant-Time Operations

    Aleksandar Prokopec · 2017