HackerPapers

All paper pages

28734 retained paper pages. Page 66 of 288.

  1. The physics of climate change: simple models in climate science

    Nadir Jeevanjee · 2018

  2. ODINI : Escaping Sensitive Data from Faraday-Caged, Air-Gapped Computers via Magnetic Fields

    Mordechai Guri, Boris Zadov, Andrey Daidakulov, Yuval Elovici · 2018

  3. Quadrupole and octupole collectivity and cluster structures in neon isotopes

    P. Marević, J. -P. Ebran, E. Khan, T. Nikšić, D. Vretenar · 2018

  4. Suppression and revival of long-range ferromagnetic order in the multiorbital Fermi-Hubbard model

    Andrii Sotnikov, Agnieszka Cichy, Jan Kuneš · 2018

  5. Putting in All the Stops: Execution Control for JavaScript

    Samuel Baxter, Rachit Nigam, Joe Gibbs Politz, Shriram Krishnamurthi, Arjun Guha · 2018

  6. Learning and Querying Fast Generative Models for Reinforcement Learning

    Lars Buesing, Theophane Weber, Sebastien Racaniere, S. M. Ali Eslami, Danilo Rezende, David P. Reichert, Fabio Viola, Frederic Besse, Karol Gregor, Demis Hassabis, Daan Wierstra · 2018

  7. There is a Hyper-Greedoid lurking behind every Graphical Accessible Computational Search Problem solvable in Polynomial Time: $P \not= NP$

    Koko-Kalambay Kalafan Kayibi · 2018

  8. Few-shot learning of neural networks from scratch by pseudo example optimization

    Akisato Kimura, Zoubin Ghahramani, Koh Takeuchi, Tomoharu Iwata, Naonori Ueda · 2018

  9. Reducing the Upfront Cost of Private Clouds with Clairvoyant Virtual Machine Placement

    Yan Zhao, Hongwei Liu, Yan Wang, Zhan Zhang, Decheng Zuo · 2018

  10. Efficient Neural Architecture Search via Parameter Sharing

    Hieu Pham, Melody Y. Guan, Barret Zoph, Quoc V. Le, Jeff Dean · 2018

  11. Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power

    Frieder Stolzenburg, Sandra Litz, Olivia Michael, Oliver Obst · 2018

  12. When Textbook RSA is Used to Protect the Privacy of Hundreds of Millions of Users

    Jeffrey Knockel, Thomas Ristenpart, Jedidiah Crandall · 2018

  13. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

    Leland McInnes, John Healy, James Melville · 2018

  14. About being the Tortoise or the Hare? - A Position Paper on Making Cloud Applications too Fast and Furious for Attackers

    Nane Kratzke · 2018

  15. Differentiable Dynamic Programming for Structured Prediction and Attention

    Arthur Mensch, Mathieu Blondel · 2018

  16. Learning a SAT Solver from Single-Bit Supervision

    Daniel Selsam, Matthew Lamm, Benedikt Bünz, Percy Liang, Leonardo de Moura, David L. Dill · 2018

  17. On the Generalization of Equivariance and Convolution in Neural Networks to the Action of Compact Groups

    Risi Kondor, Shubhendu Trivedi · 2018

  18. A Smooth Curve as a Fractal Under the Third Definition

    Ding Ma, Bin Jiang · 2018

  19. MeltdownPrime and SpectrePrime: Automatically-Synthesized Attacks Exploiting Invalidation-Based Coherence Protocols

    Caroline Trippel, Daniel Lustig, Margaret Martonosi · 2018

  20. Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

    Haowen Xu, Wenxiao Chen, Nengwen Zhao, Zeyan Li, Jiahao Bu, Zhihan Li, Ying Liu, Youjian Zhao, Dan Pei, Yang Feng, Jie Chen, Zhaogang Wang, Honglin Qiao · 2018

  21. Detecting and Correcting for Label Shift with Black Box Predictors

    Zachary C. Lipton, Yu-Xiang Wang, Alex Smola · 2018

  22. Fair and Diverse DPP-based Data Summarization

    L. Elisa Celis, Vijay Keswani, Damian Straszak, Amit Deshpande, Tarun Kathuria, Nisheeth K. Vishnoi · 2018

  23. The Complex Event Recognition Group

    Elias Alevizos, Alexander Artikis, Nikos Katzouris, Evangelos Michelioudakis, Georgios Paliouras · 2018

  24. Deep Neural Networks for Bot Detection

    Sneha Kudugunta, Emilio Ferrara · 2018

  25. Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

    Adam Badawy, Emilio Ferrara, Kristina Lerman · 2018

  26. Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

    Kyle Hundman, Valentino Constantinou, Christopher Laporte, Ian Colwell, Tom Soderstrom · 2018

  27. signSGD: Compressed Optimisation for Non-Convex Problems

    Jeremy Bernstein, Yu-Xiang Wang, Kamyar Azizzadenesheli, Anima Anandkumar · 2018

  28. On Characterizing the Capacity of Neural Networks using Algebraic Topology

    William H. Guss, Ruslan Salakhutdinov · 2018

  29. Tighter Variational Bounds are Not Necessarily Better

    Tom Rainforth, Adam R. Kosiorek, Tuan Anh Le, Chris J. Maddison, Maximilian Igl, Frank Wood, Yee Whye Teh · 2018

  30. Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring

    Yossi Adi, Carsten Baum, Moustapha Cisse, Benny Pinkas, Joseph Keshet · 2018

  31. Deep Learning with Apache SystemML

    Niketan Pansare, Michael Dusenberry, Nakul Jindal, Matthias Boehm, Berthold Reinwald, Prithviraj Sen · 2018

  32. Training and Inference with Integers in Deep Neural Networks

    Shuang Wu, Guoqi Li, Feng Chen, Luping Shi · 2018

  33. The random walk of cars and their collision probabilities with planets

    Hanno Rein, Daniel Tamayo, David Vokrouhlicky · 2018

  34. Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

    Nicolas Vasilache, Oleksandr Zinenko, Theodoros Theodoridis, Priya Goyal, Zachary DeVito, William S. Moses, Sven Verdoolaege, Andrew Adams, Albert Cohen · 2018

  35. TVM: An Automated End-to-End Optimizing Compiler for Deep Learning

    Tianqi Chen, Thierry Moreau, Ziheng Jiang, Lianmin Zheng, Eddie Yan, Meghan Cowan, Haichen Shen, Leyuan Wang, Yuwei Hu, Luis Ceze, Carlos Guestrin, Arvind Krishnamurthy · 2018

  36. Evolved Policy Gradients

    Rein Houthooft, Richard Y. Chen, Phillip Isola, Bradly C. Stadie, Filip Wolski, Jonathan Ho, Pieter Abbeel · 2018

  37. Random Linear Network Coding for 5G Mobile Video Delivery

    Dejan Vukobratovic, Andrea Tassi, Savo Delic, Chadi Khirallah · 2018

  38. Web-Scale Responsive Visual Search at Bing

    Houdong Hu, Yan Wang, Linjun Yang, Pavel Komlev, Li Huang, Xi Chen, Jiapei Huang, Ye Wu, Meenaz Merchant, Arun Sacheti · 2018

  39. Facebook Use of Sensitive Data for Advertising in Europe

    José González Cabañas, Ángel Cuevas, Rubén Cuevas · 2018

  40. SAT solving techniques: a bibliography

    Louis Abraham · 2018

  41. Who Killed Albert Einstein? From Open Data to Murder Mystery Games

    Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis, Julian Togelius · 2018

  42. What is Gab? A Bastion of Free Speech or an Alt-Right Echo Chamber?

    Savvas Zannettou, Barry Bradlyn, Emiliano De Cristofaro, Haewoon Kwak, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn · 2018

  43. Using Trusted Data to Train Deep Networks on Labels Corrupted by Severe Noise

    Dan Hendrycks, Mantas Mazeika, Duncan Wilson, Kevin Gimpel · 2018

  44. 500+ Times Faster Than Deep Learning (A Case Study Exploring Faster Methods for Text Mining StackOverflow)

    Suvodeep Majumder, Nikhila Balaji, Katie Brey, Wei Fu, Tim Menzies · 2018

  45. Stealing Hyperparameters in Machine Learning

    Binghui Wang, Neil Zhenqiang Gong · 2018

  46. Deep contextualized word representations

    Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer · 2018

  47. Teaching Machines to Code: Neural Markup Generation with Visual Attention

    Sumeet S. Singh · 2018

  48. On the P vs NP question: a proof of inequality

    Angelo Raffaele Meo · 2018

  49. How Much Data Do You Need? An Operational, Pre-Asymptotic Metric for Fat-tailedness

    Nassim Nicholas Taleb · 2018

  50. Deep Learning for Lip Reading using Audio-Visual Information for Urdu Language

    M Faisal, Sanaullah Manzoor · 2018

  51. Effects of Sound Suppressors on Muzzle Velocity, Bullet Yaw, and Drag

    Elya Courtney, Roy Couvillion, Amy Courtney, Michael Courtney · 2017

  52. The formalism of neutrino oscillations: an introduction

    Guido Fantini, Andrea Gallo Rosso, Francesco Vissani, Vanessa Zema · 2018

  53. Horovod: fast and easy distributed deep learning in TensorFlow

    Alexander Sergeev, Mike Del Balso · 2018

  54. Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning

    Deboleena Roy, Priyadarshini Panda, Kaushik Roy · 2018

  55. Variational Autoencoders for Collaborative Filtering

    Dawen Liang, Rahul G. Krishnan, Matthew D. Hoffman, Tony Jebara · 2018

  56. Information Theory: A Tutorial Introduction

    James V Stone · 2018

  57. Classification with Quantum Neural Networks on Near Term Processors

    Edward Farhi, Hartmut Neven · 2018

  58. Neural Voice Cloning with a Few Samples

    Sercan O. Arik, Jitong Chen, Kainan Peng, Wei Ping, Yanqi Zhou · 2018

  59. Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

    Ivica Nikolic, Aashish Kolluri, Ilya Sergey, Prateek Saxena, Aquinas Hobor · 2018

  60. Algorithmic improvements for the CIECAM02 and CAM16 color appearance models

    Nico Schlömer · 2018

  61. Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet

    Seyyed Hossein Hasanpour, Mohammad Rouhani, Mohsen Fayyaz, Mohammad Sabokrou, Ehsan Adeli · 2018

  62. Design and Implementation of the Andromeda Proof Assistant

    Andrej Bauer, Gaëtan Gilbert, Philipp G. Haselwarter, Matija Pretnar, Christopher A. Stone · 2018

  63. A new foundational crisis in mathematics, is it really happening?

    Mirna Džamonja · 2018

  64. End-to-end Audiovisual Speech Recognition

    Stavros Petridis, Themos Stafylakis, Pingchuan Ma, Feipeng Cai, Georgios Tzimiropoulos, Maja Pantic · 2018

  65. Capacitated Dynamic Programming: Faster Knapsack and Graph Algorithms

    Kyriakos Axiotis, Christos Tzamos · 2018

  66. A Closed-form Solution to Photorealistic Image Stylization

    Yijun Li, Ming-Yu Liu, Xueting Li, Ming-Hsuan Yang, Jan Kautz · 2018

  67. Differentially Private Generative Adversarial Network

    Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou · 2018

  68. Divide, Denoise, and Defend against Adversarial Attacks

    Seyed-Mohsen Moosavi-Dezfooli, Ashish Shrivastava, Oncel Tuzel · 2018

  69. Fourier Policy Gradients

    Matthew Fellows, Kamil Ciosek, Shimon Whiteson · 2018

  70. Learning Word Vectors for 157 Languages

    Edouard Grave, Piotr Bojanowski, Prakhar Gupta, Armand Joulin, Tomas Mikolov · 2018

  71. Communication-Optimal Convolutional Neural Nets

    James Demmel, Grace Dinh · 2018

  72. A Binary Offset Effect in CCD Readout and Its Impact on Astronomical Data

    K. Boone, G. Aldering, Y. Copin, S. Dixon, R. S. Domagalski, E. Gangler, E. Pecontal, S. Perlmutter · 2018

  73. Memcomputing: Leveraging memory and physics to compute efficiently

    Massimiliano Di Ventra, Fabio L. Traversa · 2018

  74. CASPaxos: Replicated State Machines without logs

    Denis Rystsov · 2018

  75. Talent vs Luck: the role of randomness in success and failure

    A. Pluchino. A. E. Biondo, A. Rapisarda · 2018

  76. i-RevNet: Deep Invertible Networks

    Jörn-Henrik Jacobsen, Arnold Smeulders, Edouard Oyallon · 2018

  77. Towards Deep Representation Learning with Genetic Programming

    Lino Rodriguez-Coayahuitl, Alicia Morales-Reyes, Hugo Jair Escalante · 2018

  78. Arrival Time Distributions of Spin-1/2 Particles

    Siddhant Das, Detlef Dürr · 2018

  79. Comment on the Bekenstein bound

    Roberto Longo, Feng Xu · 2018

  80. The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation

    Miles Brundage, Shahar Avin, Jack Clark, Helen Toner, Peter Eckersley, Ben Garfinkel, Allan Dafoe, Paul Scharre, Thomas Zeitzoff, Bobby Filar, Hyrum Anderson, Heather Roff, Gregory C. Allen, Jacob Steinhardt, Carrick Flynn, Seán Ó hÉigeartaigh, SJ Beard, Haydn Belfield, Sebastian Farquhar, Clare Lyle, Rebecca Crootof, Owain Evans, Michael Page, Joanna Bryson, Roman Yampolskiy, Dario Amodei · 2018

  81. Analysis of the XRP Ledger Consensus Protocol

    Brad Chase, Ethan MacBrough · 2018

  82. Learning to Play with Intrinsically-Motivated Self-Aware Agents

    Nick Haber, Damian Mrowca, Li Fei-Fei, Daniel L. K. Yamins · 2018

  83. BRUNO: A Deep Recurrent Model for Exchangeable Data

    Iryna Korshunova, Jonas Degrave, Ferenc Huszár, Yarin Gal, Arthur Gretton, Joni Dambre · 2018

  84. Relativistic Entropy Inequality

    Hans Wilhelm Alt · 2018

  85. Machine Theory of Mind

    Neil C. Rabinowitz, Frank Perbet, H. Francis Song, Chiyuan Zhang, S. M. Ali Eslami, Matthew Botvinick · 2018

  86. Manipulating and Measuring Model Interpretability

    Forough Poursabzi-Sangdeh, Daniel G. Goldstein, Jake M. Hofman, Jennifer Wortman Vaughan, Hanna Wallach · 2018

  87. Numerical integration in arbitrary-precision ball arithmetic

    Fredrik Johansson · 2018

  88. Homotopical Quantum Field Theory

    Donald Yau · 2018

  89. Path-Specific Counterfactual Fairness

    Silvia Chiappa, Thomas P. S. Gillam · 2018

  90. From Vectors to Geometric Algebra

    Sergio Ramos Ramirez, Jose Alfonso Juarez Gonzalez, Garret Sobczyk · 2018

  91. Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

    Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian Goodfellow, Jascha Sohl-Dickstein · 2018

  92. ArduSoar: an Open-Source Thermalling Controller for Resource-Constrained Autopilots

    Samuel Tabor, Iain Guilliard, Andrey Kolobov · 2018

  93. VizWiz Grand Challenge: Answering Visual Questions from Blind People

    Danna Gurari, Qing Li, Abigale J. Stangl, Anhong Guo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffrey P. Bigham · 2018

  94. Tensor field networks: Rotation- and translation-equivariant neural networks for 3D point clouds

    Nathaniel Thomas, Tess Smidt, Steven Kearnes, Lusann Yang, Li Li, Kai Kohlhoff, Patrick Riley · 2018

  95. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

    Nicholas Carlini, Chang Liu, Úlfar Erlingsson, Jernej Kos, Dawn Song · 2018

  96. NetChain: Scale-Free Sub-RTT Coordination (Extended Version)

    Xin Jin, Xiaozhou Li, Haoyu Zhang, Nate Foster, Jeongkeun Lee, Robert Soule, Changhoon Kim, Ion Stoica · 2018

  97. Detection of a Millimeter Flare From Proxima Centauri

    Meredith A. MacGregor, Alycia J. Weinberger, David J. Wilner, Adam F. Kowalski, Steven R. Cranmer · 2018

  98. Structured Control Nets for Deep Reinforcement Learning

    Mario Srouji, Jian Zhang, Ruslan Salakhutdinov · 2018

  99. TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer

    Chen Chen, Daniele E. Asoni, Adrian Perrig, David Barrera, George Danezis, Carmela Troncoso · 2018

  100. Direct Multipixel Imaging and Spectroscopy of an Exoplanet with a Solar Gravity Lens Mission

    Slava G. Turyshev, Michael Shao, Leon Alkalai, Nitin Aurora, Darren Garber, Henry Helvajian, Tom Heinsheimer, Siegfried Janson, Jared R. Males, Dmitri Mawet, Roy Nakagawa, Seth Redfield, Janice Shen, Nathan Strange, Mark R. Swain, Viktor T. Toth, Phil A. Willems, John L. West, Stacy Weinstein-Weiss, Hanying Zhou · 2018