HackerPapers

All paper pages

28734 retained paper pages. Page 95 of 288.

  1. Historical comparison of gender inequality in scientific careers across countries and disciplines

    Junming Huang, Alexander J. Gates, Roberta Sinatra, Albert-Laszlo Barabasi · 2019

  2. On the Semantic Interpretability of Artificial Intelligence Models

    Vivian S. Silva, André Freitas, Siegfried Handschuh · 2019

  3. Quantum wave-particle superposition in a delayed-choice experiment

    Kai Wang, Qian Xu, Shining Zhu, Xiao-song Ma · 2019

  4. Lectures on Faster-than-Light Travel and Time Travel

    Barak Shoshany · 2019

  5. Streaming 1.9 Billion Hypersparse Network Updates per Second with D4M

    Jeremy Kepner, Vijay Gadepally, Lauren Milechin, Siddharth Samsi, William Arcand, David Bestor, William Bergeron, Chansup Byun, Matthew Hubbell, Michael Houle, Michael Jones, Anne Klein, Peter Michaleas, Julie Mullen, Andrew Prout, Antonio Rosa, Charles Yee, Albert Reuther · 2019

  6. On the origins of extreme wealth inequality in the Talent vs Luck Model

    Damien Challet, Alessandro Pluchino, Alessio Emanuele Biondo, Andrea Rapisarda · 2019

  7. A Scheme for Dynamic Risk-Sensitive Sequential Decision Making

    Shuai Ma, Jia Yuan Yu, Ahmet Satir · 2019

  8. Multilingual Universal Sentence Encoder for Semantic Retrieval

    Yinfei Yang, Daniel Cer, Amin Ahmad, Mandy Guo, Jax Law, Noah Constant, Gustavo Hernandez Abrego, Steve Yuan, Chris Tar, Yun-Hsuan Sung, Brian Strope, Ray Kurzweil · 2019

  9. Cross-Domain Generalization of Neural Constituency Parsers

    Daniel Fried, Nikita Kitaev, Dan Klein · 2019

  10. Neural Input Search for Large Scale Recommendation Models

    Manas R. Joglekar, Cong Li, Jay K. Adams, Pranav Khaitan, Quoc V. Le · 2019

  11. Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning

    Michael Lutter, Christian Ritter, Jan Peters · 2019

  12. An Optimistic Perspective on Offline Reinforcement Learning

    Rishabh Agarwal, Dale Schuurmans, Mohammad Norouzi · 2019

  13. Differentiable Probabilistic Logic Networks

    Alexey Potapov, Anatoly Belikov, Vitaly Bogdanov, Alexander Scherbatiy · 2019

  14. On the Duffin-Schaeffer conjecture

    Dimitris Koukoulopoulos, James Maynard · 2019

  15. Neural Networks as Explicit Word-Based Rules

    Jindřich Libovický · 2019

  16. Quantifying the pathways to life using assembly spaces

    Stuart M. Marshall, Douglas Moore, Alastair R. G. Murray, Sara I. Walker, Leroy Cronin · 2019

  17. Dense Peelable Random Uniform Hypergraphs

    Martin Dietzfelbinger, Stefan Walzer · 2019

  18. RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators from RL Policies

    Hao-Tien Lewis Chiang, Jasmine Hsu, Marek Fiser, Lydia Tapia, Aleksandra Faust · 2019

  19. Variational Autoencoders and Nonlinear ICA: A Unifying Framework

    Ilyes Khemakhem, Diederik P. Kingma, Ricardo Pio Monti, Aapo Hyvärinen · 2019

  20. BAM! Born-Again Multi-Task Networks for Natural Language Understanding

    Kevin Clark, Minh-Thang Luong, Urvashi Khandelwal, Christopher D. Manning, Quoc V. Le · 2019

  21. Sparse Networks from Scratch: Faster Training without Losing Performance

    Tim Dettmers, Luke Zettlemoyer · 2019

  22. H0LiCOW XIII. A 2.4% measurement of $H_{0}$ from lensed quasars: $5.3σ$ tension between early and late-Universe probes

    Kenneth C. Wong, Sherry H. Suyu, Geoff C. -F. Chen, Cristian E. Rusu, Martin Millon, Dominique Sluse, Vivien Bonvin, Christopher D. Fassnacht, Stefan Taubenberger, Matthew W. Auger, Simon Birrer, James H. H. Chan, Frederic Courbin, Stefan Hilbert, Olga Tihhonova, Tommaso Treu, Adriano Agnello, Xuheng Ding, Inh Jee, Eiichiro Komatsu, Anowar J. Shajib, Alessandro Sonnenfeld, Roger D. Blandford, Leon V. E. Koopmans, Philip J. Marshall, Georges Meylan · 2019

  23. Understanding black hole evaporation using explicitly computed Penrose diagrams

    Joseph C Schindler, Anthony Aguirre, Amita Kuttner · 2019

  24. Fully Convolutional Networks for Handwriting Recognition

    Felipe Petroski Such, Dheeraj Peri, Frank Brockler, Paul Hutkowski, Raymond Ptucha · 2019

  25. Topic Modeling in Embedding Spaces

    Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei · 2019

  26. Can Unconditional Language Models Recover Arbitrary Sentences?

    Nishant Subramani, Samuel R. Bowman, Kyunghyun Cho · 2019

  27. Vision-and-Dialog Navigation

    Jesse Thomason, Michael Murray, Maya Cakmak, Luke Zettlemoyer · 2019

  28. Diverse Trajectory Forecasting with Determinantal Point Processes

    Ye Yuan, Kris Kitani · 2019

  29. Heard More Than Heard: An Audio Steganography Method Based on GAN

    Dengpan Ye, Shunzhi Jiang, Jiaqin Huang · 2019

  30. Conditional Analysis for Key-Value Data with Local Differential Privacy

    Lin Sun, Jun Zhao, Xiaojun Ye, Shuo Feng, Teng Wang, Tao Bai · 2019

  31. On Analysis of the Bitcoin and Prism Backbone Protocols

    Jing Li, Dongning Guo · 2019

  32. Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges

    Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu · 2019

  33. BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs

    Valentin Bazarevsky, Yury Kartynnik, Andrey Vakunov, Karthik Raveendran, Matthias Grundmann · 2019

  34. MeetUp! A Corpus of Joint Activity Dialogues in a Visual Environment

    Nikolai Ilinykh, Sina Zarrieß, David Schlangen · 2019

  35. Malware in the SGX supply chain: Be careful when signing enclaves!

    Vlad Crăciun, Pascal Felber, Andrei Mogage, Emanuel Onica, Rafael Pires · 2019

  36. ATLAS $b$-jet identification performance and efficiency measurement with $t\bar{t}$ events in $pp$ collisions at $\sqrt{s}=13$ TeV

    ATLAS Collaboration · 2019

  37. Self-Regulated Interactive Sequence-to-Sequence Learning

    Julia Kreutzer, Stefan Riezler · 2019

  38. Challenges and Directions for Authentication in Pervasive Computing

    Artur Souza, Antônio A. F. Loureiro, Leonardo B. Oliveira · 2019

  39. An Empirical Study on the Practical Impact of Prior Beliefs over Policy Types

    Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy · 2019

  40. Improving Neural Relation Extraction with Implicit Mutual Relations

    Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou · 2019

  41. Joint Speech Recognition and Speaker Diarization via Sequence Transduction

    Laurent El Shafey, Hagen Soltau, Izhak Shafran · 2019

  42. To Tune or Not To Tune? How About the Best of Both Worlds?

    Ran Wang, Haibo Su, Chunye Wang, Kailin Ji, Jupeng Ding · 2019

  43. Semantic Parsing with Dual Learning

    Ruisheng Cao, Su Zhu, Chen Liu, Jieyu Li, Kai Yu · 2019

  44. A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts

    Jiahuan Pei, Pengjie Ren, Maarten de Rijke · 2019

  45. Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle

    Guojun Wu, Yanhua Li, Zhenming Liu, Jie Bao, Yu Zheng, Jieping Ye, Jun Luo · 2019

  46. Incrementalizing RASA's Open-Source Natural Language Understanding Pipeline

    Andrew Rafla, Casey Kennington · 2019

  47. Learning to learn with quantum neural networks via classical neural networks

    Guillaume Verdon, Michael Broughton, Jarrod R. McClean, Kevin J. Sung, Ryan Babbush, Zhang Jiang, Hartmut Neven, Masoud Mohseni · 2019

  48. Adversarial Objects Against LiDAR-Based Autonomous Driving Systems

    Yulong Cao, Chaowei Xiao, Dawei Yang, Jing Fang, Ruigang Yang, Mingyan Liu, Bo Li · 2019

  49. $π$-Corrected Heisenberg Limit

    Wojciech Gorecki, Rafal Demkowicz-Dobrzanski, Howard M. Wiseman, Dominic W. Berry · 2019

  50. Learning Key-Value Store Design

    Stratos Idreos, Niv Dayan, Wilson Qin, Mali Akmanalp, Sophie Hilgard, Andrew Ross, James Lennon, Varun Jain, Harshita Gupta, David Li, Zichen Zhu · 2019

  51. Grounding Value Alignment with Ethical Principles

    Tae Wan Kim, Thomas Donaldson, John Hooker · 2019

  52. Data by Proxy -- Material Traces as Autographic Visualizations

    Dietmar Offenhuber · 2019

  53. Solving Hard Coreference Problems

    Haoruo Peng, Daniel Khashabi, Dan Roth · 2019

  54. Evolving complexity: how tinkering shapes cells, software and ecological networks

    Ricard Sole, Sergi Valverde · 2019

  55. The Dynamic Embedded Topic Model

    Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei · 2019

  56. Learning an Urban Air Mobility Encounter Model from Expert Preferences

    Sydney M. Katz, Anne-Claire Le Bihan, Mykel J. Kochenderfer · 2019

  57. Neural News Recommendation with Attentive Multi-View Learning

    Chuhan Wu, Fangzhao Wu, Mingxiao An, Jianqiang Huang, Yongfeng Huang, Xing Xie · 2019

  58. Generative Modeling by Estimating Gradients of the Data Distribution

    Yang Song, Stefano Ermon · 2019

  59. A strong no-go theorem on the Wigner's friend paradox

    Kok-Wei Bong, Aníbal Utreras-Alarcón, Farzad Ghafari, Yeong-Cherng Liang, Nora Tischler, Eric G. Cavalcanti, Geoff J. Pryde, Howard M. Wiseman · 2019

  60. Mercem: Method Name Recommendation Based on Call Graph Embedding

    Hiroshi Yonai, Yasuhiro Hayase, Hiroyuki Kitagawa · 2019

  61. Adaptive Thompson Sampling Stacks for Memory Bounded Open-Loop Planning

    Thomy Phan, Thomas Gabor, Robert Müller, Christoph Roch, Claudia Linnhoff-Popien · 2019

  62. The Carnegie-Chicago Hubble Program. VIII. An Independent Determination of the Hubble Constant Based on the Tip of the Red Giant Branch

    Wendy L. Freedman, Barry F. Madore, Dylan Hatt, Taylor J. Hoyt, In-Sung Jang, Rachael L. Beaton, Christopher R. Burns, Myung Gyoon Lee, Andrew J. Monson, Jillian R. Neeley, Mark M. Phillips, Jeffrey A. Rich, Mark Seibert · 2019

  63. A simulation of the insurance industry: The problem of risk model homogeneity

    Torsten Heinrich, Juan Sabuco, J. Doyne Farmer · 2019

  64. Motion Sensor-based Privacy Attack on Smartphones

    S Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen · 2019

  65. Cross-Lingual Transfer Learning for Question Answering

    Chia-Hsuan Lee, Hung-Yi Lee · 2019

  66. Automated Gaming Pommerman: FFA

    Ms. Navya Singh, Anshul Dhull, Barath Mohan. S, Bhavish Pahwa, Ms. Komal Sharma · 2019

  67. Learning Neural Networks with Adaptive Regularization

    Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon · 2019

  68. Representing Attitudes Towards Ambiguity in Hilbert Space: Foundations and Applications

    Sandro Sozzo · 2019

  69. Astro2020 APC White Paper: Astronomy should be in the clouds

    Arfon M. Smith, Rob Pike, William O'Mullane, Frossie Economou, Adam Bolton, Ivelina Momcheva, Amanda E Bauer, Bruce Becker, Eric Bellm, Andrew Connolly, Steven M. Crawford, Nimish Hathi, Peter Melchior, Joshua Peek, Arif Solmaz, Ross Thomson, Erik TollerudI, David W. Liska · 2019

  70. What does it mean to understand a neural network?

    Timothy P. Lillicrap, Konrad P. Kording · 2019

  71. A Survey on Zero Knowledge Range Proofs and Applications

    Eduardo Morais, Tommy Koens, Cees van Wijk, Aleksei Koren · 2019

  72. Comprehensive Process Drift Detection with Visual Analytics

    Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling, Artem Polyvyanyy · 2019

  73. A Neural Turing~Machine for Conditional Transition Graph Modeling

    Mehdi Ben Lazreg, Morten Goodwin, Ole-Christoffer Granmo · 2019

  74. Tracking sex: The implications of widespread sexual data leakage and tracking on porn websites

    Elena Maris, Timothy Libert, Jennifer Henrichsen · 2019

  75. The Many AI Challenges of Hearthstone

    Amy K. Hoover, Julian Togelius, Scott Lee, Fernando de Mesentier Silva · 2019

  76. Death and Serious Injury by Dark Matter

    Jagjit Singh Sidhu, Robert J Scherrer, Glenn Starkman · 2019

  77. Towards Near-imperceptible Steganographic Text

    Falcon Z. Dai, Zheng Cai · 2019

  78. Low-supervision urgency detection and transfer in short crisis messages

    Mayank Kejriwal, Peilin Zhou · 2019

  79. Logic Conditionals, Supervenience, and Selection Tasks

    Giovanni Sileno · 2019

  80. The continuous Bernoulli: fixing a pervasive error in variational autoencoders

    Gabriel Loaiza-Ganem, John P. Cunningham · 2019

  81. Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches

    Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach · 2019

  82. Coprocessors: failures and successes

    Daniel Etiemble · 2019

  83. Threshold Logical Clocks for Asynchronous Distributed Coordination and Consensus

    Bryan Ford · 2019

  84. Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

    Arunesh Mathur, Gunes Acar, Michael J. Friedman, Elena Lucherini, Jonathan Mayer, Marshini Chetty, Arvind Narayanan · 2019

  85. RadioTalk: a large-scale corpus of talk radio transcripts

    Doug Beeferman, William Brannon, Deb Roy · 2019

  86. High-Quality Protein Force Fields with Noisy Quantum Processors

    Anurag Mishra, Alireza Shabani · 2019

  87. Hydrodynamic Simulations using GPGPU Architectures

    Adrian Coman, Elena Apostol, Catalin Leordeanu, Emil Slusanschi · 2019

  88. Security Smells in Ansible and Chef Scripts: A Replication Study

    Akond Rahman, Md. Rayhanur Rahman, Chris Parnin, Laurie Williams · 2019

  89. Natural Adversarial Examples

    Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song · 2019

  90. RayTracer.jl: A Differentiable Renderer that supports Parameter Optimization for Scene Reconstruction

    Avik Pal · 2019

  91. Helen: Maliciously Secure Coopetitive Learning for Linear Models

    Wenting Zheng, Raluca Ada Popa, Joseph E. Gonzalez, Ion Stoica · 2019

  92. Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics

    Guido W. Imbens · 2019

  93. Recovering Purity with Comonads and Capabilities

    Vikraman Choudhury, Neel Krishnaswami · 2019

  94. Fake News Detection as Natural Language Inference

    Kai-Chou Yang, Timothy Niven, Hung-Yu Kao · 2019

  95. Probing Neural Network Comprehension of Natural Language Arguments

    Timothy Niven, Hung-Yu Kao · 2019

  96. CLaRO: a Data-driven CNL for Specifying Competency Questions

    C. Maria Keet, Zola Mahlaza, Mary-Jane Antia · 2019

  97. Almawave-SLU: A new dataset for SLU in Italian

    Valentina Bellomaria, Giuseppe Castellucci, Andrea Favalli, Raniero Romagnoli · 2019

  98. A Differentiable Programming System to Bridge Machine Learning and Scientific Computing

    Mike Innes, Alan Edelman, Keno Fischer, Chris Rackauckas, Elliot Saba, Viral B Shah, Will Tebbutt · 2019

  99. On the Tour Towards DPLL(MAPF) and Beyond

    Pavel Surynek · 2019

  100. Analysis of Word Embeddings Using Fuzzy Clustering

    Shahin Atakishiyev, Marek Z. Reformat · 2019