HackerPapers

All paper pages

28734 retained paper pages. Page 73 of 288.

  1. Quaternion Recurrent Neural Networks

    Titouan Parcollet, Mirco Ravanelli, Mohamed Morchid, Georges Linarès, Chiheb Trabelsi, Renato De Mori, Yoshua Bengio · 2018

  2. Dank Learning: Generating Memes Using Deep Neural Networks

    Abel L Peirson, E Meltem Tolunay · 2018

  3. Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

    Ye Jia, Yu Zhang, Ron J. Weiss, Quan Wang, Jonathan Shen, Fei Ren, Zhifeng Chen, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui Wu · 2018

  4. Deep Learning to Detect Redundant Method Comments

    Annie Louis, Santanu Kumar Dash, Earl T. Barr, Charles Sutton · 2018

  5. Syntax and Semantics of Cedille

    Aaron Stump, Christopher Jenkins · 2018

  6. A Connectome Based Hexagonal Lattice Convolutional Network Model of the Drosophila Visual System

    Fabian David Tschopp, Michael B. Reiser, Srinivas C. Turaga · 2018

  7. How Usable are Rust Cryptography APIs?

    Kai Mindermann, Philipp Keck, Stefan Wagner · 2018

  8. SafeSpec: Banishing the Spectre of a Meltdown with Leakage-Free Speculation

    Khaled N. Khasawneh, Esmaeil Mohammadian Koruyeh, Chengyu Song, Dmitry Evtyushkin, Dmitry Ponomarev, Nael Abu-Ghazaleh · 2018

  9. Life Versus Dark Energy: How An Advanced Civilization Could Resist the Accelerating Expansion of the Universe

    Dan Hooper · 2018

  10. How much income inequality is fair? Nash bargaining solution and its connection to entropy

    Venkat Venkatasubramanian, Yu Luo · 2018

  11. Dynamical Isometry and a Mean Field Theory of CNNs: How to Train 10,000-Layer Vanilla Convolutional Neural Networks

    Lechao Xiao, Yasaman Bahri, Jascha Sohl-Dickstein, Samuel S. Schoenholz, Jeffrey Pennington · 2018

  12. Evolving simple programs for playing Atari games

    Dennis G Wilson, Sylvain Cussat-Blanc, Hervé Luga, Julian F Miller · 2018

  13. SIMD Vectorization for the Lennard-Jones Potential with AVX2 and AVX-512 instructions

    Hiroshi Watanabe, Koh M. Nakagawa · 2018

  14. RAPIDNN: In-Memory Deep Neural Network Acceleration Framework

    Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing · 2018

  15. Planet Size Distribution from the Kepler Mission and its Implications for Planet Formation

    Li Zeng, Stein B. Jacobsen, Eugenia Hyung, Andrew Vanderburg, Mercedes Lopez-Morales, Dimitar D. Sasselov, Juan Perez-Mercader, Michail I. Petaev, David W. Latham, Raphaëlle D. Haywood, Thomas K. R. Mattson · 2018

  16. PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review

    Ivan Stelmakh, Nihar B. Shah, Aarti Singh · 2018

  17. Evaluation of sentence embeddings in downstream and linguistic probing tasks

    Christian S. Perone, Roberto Silveira, Thomas S. Paula · 2018

  18. Space-borne Bose-Einstein condensation for precision interferometry

    Dennis Becker, Maike D. Lachmann, Stephan T. Seidel, Holger Ahlers, Aline N. Dinkelaker, Jens Grosse, Ortwin Hellmig, Hauke Müntinga, Vladimir Schkolnik, Thijs Wendrich, André Wenzlawski, Benjamin Weps, Robin Corgier, Daniel Lüdtke, Tobias Franz, Naceur Gaaloul, Waldemar Herr, Manuel Popp, Sirine Amri, Hannes Duncker, Maik Erbe, Anja Kohfeldt, André Kubelka-Lange, Claus Braxmaier, Eric Charron, Wolfgang Ertmer, Markus Krutzik, Claus Lämmerzahl, Achim Peters, Wolfgang P. Schleich, Klaus Sengstock, Reinhold Walser, Andreas Wicht, Patrick Windpassinger, Ernst M. Rasel · 2018

  19. Zip Trees

    Robert E. Tarjan, Caleb C. Levy, Stephen Timmel · 2018

  20. Polynomial Regression As an Alternative to Neural Nets

    Xi Cheng, Bohdan Khomtchouk, Norman Matloff, Pete Mohanty · 2018

  21. Mathematical Proofs 101: How Proofs Should Be Read, Written, and Taught

    Christopher M. van Bommel · 2018

  22. Development and Characterization of a 3.2 Gb/s Serial Link Transmitter for CMOS Image Sensors in Subatomic Physics Experiments

    Quan Sun, Guangyu Zhang, Datao Gong, Binwei Deng, Wei Zhou, Bihui You, Le Xiao, Jian Wang, Dongxu Yang, Tiankuan Liu, Chonghan Liu, Di Guo, Jun Liu, Christine Hu-Guo, Frederic Morel, Isabelle Valin, Xiangming Sun, Jingbo Ye · 2018

  23. Implicit Quantile Networks for Distributional Reinforcement Learning

    Will Dabney, Georg Ostrovski, David Silver, Rémi Munos · 2018

  24. Forecasting the value of battery electric vehicles compared to internal combustion engine vehicles: the influence of driving range and battery technology

    JongRoul Woo, Christopher L. Magee · 2018

  25. Full deep neural network training on a pruned weight budget

    Maximilian Golub, Guy Lemieux, Mieszko Lis · 2018

  26. Deep Neural Decision Trees

    Yongxin Yang, Irene Garcia Morillo, Timothy M. Hospedales · 2018

  27. Capacitor Based Activity Sensing for Kinetic Powered Wearable IoTs

    Guohao Lan, Dong Ma, Weitao Xu, Mahbub Hassan, Wen Hu · 2018

  28. A Theory of Reversibility for Erlang

    Ivan Lanese, Naoki Nishida, Adrián Palacios, Germán Vidal · 2018

  29. Neural Ordinary Differential Equations

    Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud · 2018

  30. Detecting and interpreting myocardial infarction using fully convolutional neural networks

    Nils Strodthoff, Claas Strodthoff · 2018

  31. LazyFP: Leaking FPU Register State using Microarchitectural Side-Channels

    Julian Stecklina, Thomas Prescher · 2018

  32. Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems

    Richard Tomsett, Dave Braines, Dan Harborne, Alun Preece, Supriyo Chakraborty · 2018

  33. Energy Efficient Tri-State CNFET Ternary Logic Gates

    Sepher Tabrizchi, Fazel Sharifi, Abdel-Hameed A. Badawy · 2018

  34. Neural Tangent Kernel: Convergence and Generalization in Neural Networks

    Arthur Jacot, Franck Gabriel, Clément Hongler · 2018

  35. Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

    Jan Matas, Stephen James, Andrew J. Davison · 2018

  36. There Is No Action at a Distance in Quantum Mechanics, Spooky or Otherwise

    Stephen Boughn · 2018

  37. Experimental evidence of non-classical brain functions

    Christian Kerskens, David Lopez Perez · 2018

  38. A Supervised Approach To The Interpretation Of Imperative To-Do Lists

    Paul Landes, Barbara Di Eugenio · 2018

  39. Fairness Without Demographics in Repeated Loss Minimization

    Tatsunori B. Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang · 2018

  40. Semantic information, autonomous agency, and nonequilibrium statistical physics

    Artemy Kolchinsky, David H. Wolpert · 2018

  41. Learning Cognitive Models using Neural Networks

    Devendra Singh Chaplot, Christopher MacLellan, Ruslan Salakhutdinov, Kenneth Koedinger · 2018

  42. Dynamic Network 3 -- 0 FIFA Rankings: Replacing an inaccurate, biased, and exploitable ranking system

    Sam Abernethy · 2018

  43. The New Horizons Kuiper Belt Extended Mission

    S. A. Stern, H. A. Weaver, J. R. Spencer, H. A. Elliott, the New Horizons Team · 2018

  44. Observations of the MIssing Baryons in the warm-hot intergalactic medium

    F. Nicastro, J. Kaastra, Y. Krongold, S. Borgani, E. Branchini, R. Cen, M. Dadina, C. W. Danforth, M. Elvis, F. Fiore, A. Gupta, S. Mathur, D. Mayya, F. Paerels, L. Piro, D. Rosa-Gonzales, J. Schaye, J. M. Shull, J. Torres-Zafra, N. Wijers, L. Zappacosta · 2018

  45. Visual Content Privacy Leaks on Social Media Networks

    Jasmine DeHart, Christan Grant · 2018

  46. The Temporal Singularity: time-accelerated simulated civilizations and their implications

    Giacomo Spigler · 2018

  47. On the Spectral Bias of Neural Networks

    Nasim Rahaman, Aristide Baratin, Devansh Arpit, Felix Draxler, Min Lin, Fred A. Hamprecht, Yoshua Bengio, Aaron Courville · 2018

  48. Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation

    Peter R. Florence, Lucas Manuelli, Russ Tedrake · 2018

  49. The Physics of baking good Pizza

    Andrey Varlamov, Andreas Glatz, Sergio Grasso · 2018

  50. An Excess of Jupiter Analogs in Super-Earth Systems

    Marta L. Bryan, Heather A. Knutson, Eve J. Lee, BJ Fulton, Konstantin Batygin, Henry Ngo, Tiffany Meshkat · 2018

  51. The Sparse Manifold Transform

    Yubei Chen, Dylan M. Paiton, Bruno A. Olshausen · 2018

  52. Context-aware Failure-oblivious Computing as a Means of Preventing Buffer Overflows

    Manuel Rigger, Daniel Pekarek, Hanspeter Mössenböck · 2018

  53. DARTS: Differentiable Architecture Search

    Hanxiao Liu, Karen Simonyan, Yiming Yang · 2018

  54. In-situ Stochastic Training of MTJ Crossbar based Neural Networks

    Ankit Mondal, Ankur Srivastava · 2018

  55. Are Free Android App Security Analysis Tools Effective in Detecting Known Vulnerabilities?

    Venkatesh-Prasad Ranganath, Joydeep Mitra · 2018

  56. WPSE: Fortifying Web Protocols via Browser-Side Security Monitoring

    Stefano Calzavara, Riccardo Focardi, Matteo Maffei, Clara Schneidewind, Marco Squarcina, Mauro Tempesta · 2018

  57. A Tour of Reinforcement Learning: The View from Continuous Control

    Benjamin Recht · 2018

  58. Stochastic natural gradient descent draws posterior samples in function space

    Samuel L. Smith, Daniel Duckworth, Semon Rezchikov, Quoc V. Le, Jascha Sohl-Dickstein · 2018

  59. Sounderfeit: Cloning a Physical Model using a Conditional Adversarial Autoencoder

    Stephen Sinclair · 2018

  60. A Universal Training Algorithm for Quantum Deep Learning

    Guillaume Verdon, Jason Pye, Michael Broughton · 2018

  61. Approximate Nearest Neighbor Search in High Dimensions

    Alexandr Andoni, Piotr Indyk, Ilya Razenshteyn · 2018

  62. Boiling, steaming or rinsing? (physics of the Chinese cuisine)

    Andrey Varlamov, Zheng Zhou, Yan Chen · 2018

  63. Understanding quantum physics through simple experiments: from wave-particle duality to Bell's theorem

    Ish Dhand, Adam D'Souza, Varun Narasimhachar, Neil Sinclair, Stephen Wein, Parisa Zarkeshian, Alireza Poostindouz, Christoph Simon · 2018

  64. Self-Reproducing Coins as Universal Turing Machine

    Alexander Chepurnoy, Vasily Kharin, Dmitry Meshkov · 2018

  65. A distance of 13 Mpc resolves the claimed anomalies of the galaxy lacking dark matter

    Ignacio Trujillo, Michael A. Beasley, Alejandro Borlaff, Eleazar R. Carrasco, Arianna Di Cintio, Mercedes Filho, Matteo Monelli, Mireia Montes, Javier Roman, Tomas Ruiz-Lara, Jorge Sanchez Almeida, David Valls-Gabaud, Alexandre Vazdekis · 2018

  66. Modular meta-learning

    Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling · 2018

  67. Unsupervised Learning by Competing Hidden Units

    Dmitry Krotov, John Hopfield · 2018

  68. Generalized Reversible Computing

    Michael P. Frank · 2018

  69. Thermanator: Thermal Residue-Based Post Factum Attacks On Keyboard Password Entry

    Tyler Kaczmarek, Ercan Ozturk, Gene Tsudik · 2018

  70. Conflict-free Replicated Data Types: An Overview

    Nuno Preguiça · 2018

  71. An Extensive Evaluation of the Internet's Open Proxies

    Akshaya Mani, Tavish Vaidya, David Dworken, Micah Sherr · 2018

  72. A Formal Analysis of 5G Authentication

    David Basin, Jannik Dreier, Lucca Hirschi, Saša Radomirović, Ralf Sasse, Vincent Stettler · 2018

  73. Topological Time Crystals

    K. Giergiel, A. Dauphin, M. Lewenstein, J. Zakrzewski, K. Sacha · 2018

  74. This Looks Like That: Deep Learning for Interpretable Image Recognition

    Chaofan Chen, Oscar Li, Chaofan Tao, Alina Jade Barnett, Jonathan Su, Cynthia Rudin · 2018

  75. ActiveRemediation: The Search for Lead Pipes in Flint, Michigan

    Jacob Abernethy, Alex Chojnacki, Arya Farahi, Eric Schwartz, Jared Webb · 2018

  76. Illuminating Generalization in Deep Reinforcement Learning through Procedural Level Generation

    Niels Justesen, Ruben Rodriguez Torrado, Philip Bontrager, Ahmed Khalifa, Julian Togelius, Sebastian Risi · 2018

  77. When Can a Distributed Ledger Replace a Trusted Third Party?

    Thomas Locher, Sebastian Obermeier, Yvonne-Anne Pignolet · 2018

  78. Adversarial Reprogramming of Neural Networks

    Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein · 2018

  79. Syntax Error Recovery in Parsing Expression Grammars

    Sérgio Medeiros, Fabio Mascarenhas · 2018

  80. XGBoost: Scalable GPU Accelerated Learning

    Rory Mitchell, Andrey Adinets, Thejaswi Rao, Eibe Frank · 2018

  81. Bayesian Deep Learning on a Quantum Computer

    Zhikuan Zhao, Alejandro Pozas-Kerstjens, Patrick Rebentrost, Peter Wittek · 2018

  82. Exploration of Low Numeric Precision Deep Learning Inference Using Intel FPGAs

    Philip Colangelo, Nasibeh Nasiri, Asit Mishra, Eriko Nurvitadhi, Martin Margala, Kevin Nealis · 2018

  83. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot

    Serhiy O. Semerikov, Illia O. Teplytskyi, Yuliia V. Yechkalo, Arnold E. Kiv · 2018

  84. Adversarial Examples in Deep Learning: Characterization and Divergence

    Wenqi Wei, Ling Liu, Margaret Loper, Stacey Truex, Lei Yu, Mehmet Emre Gursoy, Yanzhao Wu · 2018

  85. Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

    Marinka Zitnik, Francis Nguyen, Bo Wang, Jure Leskovec, Anna Goldenberg, Michael M. Hoffman · 2018

  86. The Challenge of Multi-Operand Adders in CNNs on FPGAs: How not to solve it!

    Kamel Abdelouahab, François Berry, Maxime Pelcat · 2018

  87. Practical Cryptographic Data Integrity Protection with Full Disk Encryption Extended Version

    Milan Broz, Mikulas Patocka, Vashek Matyas · 2018

  88. Learning to Drive in a Day

    Alex Kendall, Jeffrey Hawke, David Janz, Przemyslaw Mazur, Daniele Reda, John-Mark Allen, Vinh-Dieu Lam, Alex Bewley, Amar Shah · 2018

  89. How To Backdoor Federated Learning

    Eugene Bagdasaryan, Andreas Veit, Yiqing Hua, Deborah Estrin, Vitaly Shmatikov · 2018

  90. FATE: Fast and Accurate Timing Error Prediction Framework for Low Power DNN Accelerator Design

    Jeff Zhang, Siddharth Garg · 2018

  91. Automatic Software Repair: a Bibliography

    Martin Monperrus · 2018

  92. The relativistic discriminator: a key element missing from standard GAN

    Alexia Jolicoeur-Martineau · 2018

  93. Quantum-assisted quantum compiling

    Sumeet Khatri, Ryan LaRose, Alexander Poremba, Lukasz Cincio, Andrew T. Sornborger, Patrick J. Coles · 2018

  94. Exploring End-to-End Techniques for Low-Resource Speech Recognition

    Vladimir Bataev, Maxim Korenevsky, Ivan Medennikov, Alexander Zatvornitskiy · 2018

  95. Neuro-memristive Circuits for Edge Computing: A review

    Olga Krestinskaya, Alex Pappachen James, Leon O. Chua · 2018

  96. A Survey on Agent-based Simulation using Hardware Accelerators

    Jiajian Xiao, Philipp Andelfinger, David Eckhoff, Wentong Cai, Alois Knoll · 2018

  97. Best-Effort FPGA Programming: A Few Steps Can Go a Long Way

    Jason Cong, Zhenman Fang, Yuchen Hao, Peng Wei, Cody Hao Yu, Chen Zhang, Peipei Zhou · 2018

  98. Timekeeping infrastructure for the Catalina Sky Survey

    Robert L. Seaman, Alex R. Gibbs · 2018

  99. ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

    Shuai Zheng, Fan Yang, M. Hadi Kiapour, Robinson Piramuthu · 2018

  100. A Purely Functional Computer Algebra System Embedded in Haskell

    Hiromi Ishii · 2018