HackerPapers

All paper pages

28734 retained paper pages. Page 65 of 288.

  1. Proceedings of eNTERFACE 2015 Workshop on Intelligent Interfaces

    Matei Mancas, Christian Frisson, Joëlle Tilmanne, Nicolas d'Alessandro, Petr Barborka, Furkan Bayansar, Francisco Bernard, Rebecca Fiebrink, Alexis Heloir, Edgar Hemery, Sohaib Laraba, Alexis Moinet, Fabrizio Nunnari, Thierry Ravet, Loïc Reboursière, Alvaro Sarasua, Mickaël Tits, Noé Tits, François Zajéga, Paolo Alborno, Ksenia Kolykhalova, Emma Frid, Damiano Malafronte, Lisanne Huis in't Veld, Hüseyin Cakmak, Kevin El Haddad, Nicolas Riche, Julien Leroy, Pierre Marighetto, Bekir Berker Türker, Hossein Khaki, Roberto Pulisci, Emer Gilmartin, Fasih Haider, Kübra Cengiz, Martin Sulir, Ilaria Torre, Shabbir Marzban, Ramazan Yazıcı, Furkan Burak Bâgcı, Vedat Gazi Kılı, Hilal Sezer, Sena Büsra Yenge, Charles-Alexandre Delestage, Sylvie Leleu-Merviel, Muriel Meyer-Chemenska, Daniel Schmitt, Willy Yvart, Stéphane Dupont, Ozan Can Altiok, Aysegül Bumin, Ceren Dikmen, Ivan Giangreco, Silvan Heller, Emre Külah, Gueorgui Pironkov, Luca Rossetto, Yusuf Sahillioglu, Heiko Schuldt, Omar Seddati, Yusuf Setinkaya, Metin Sezgin, Claudiu Tanase, Emre Toyan, Sean Wood, Doguhan Yeke, Françcois Rocca, Pierre-Henri De Deken, Alessandra Bandrabur, Fabien Grisard, Axel Jean-Caurant, Vincent Courboulay, Radhwan Ben Madhkour, Ambroise Moreau · 2018

  2. Introducing ReQuEST: an Open Platform for Reproducible and Quality-Efficient Systems-ML Tournaments

    Thierry Moreau, Anton Lokhmotov, Grigori Fursin · 2018

  3. Global overview of Imitation Learning

    Alexandre Attia, Sharone Dayan · 2018

  4. A Deep Reinforcement Learning Chatbot (Short Version)

    Iulian V. Serban, Chinnadhurai Sankar, Mathieu Germain, Saizheng Zhang, Zhouhan Lin, Sandeep Subramanian, Taesup Kim, Michael Pieper, Sarath Chandar, Nan Rosemary Ke, Sai Rajeswar, Alexandre de Brebisson, Jose M. R. Sotelo, Dendi Suhubdy, Vincent Michalski, Alexandre Nguyen, Joelle Pineau, Yoshua Bengio · 2018

  5. Design Guidelines for High-Performance SCM Hierarchies

    Dmitrii Ustiugov, Alexandros Daglis, Javier Picorel, Mark Sutherland, Edouard Bugnion, Babak Falsafi, Dionisios Pnevmatikatos · 2018

  6. A Formal Framework For Probabilistic Unclean Databases

    Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher Re, Theodoros Rekatsinas · 2018

  7. Seismic Full-Waveform Inversion Using Deep Learning Tools and Techniques

    Alan Richardson · 2018

  8. Personalizing Dialogue Agents: I have a dog, do you have pets too?

    Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, Jason Weston · 2018

  9. Onion Curve: A Space Filling Curve with Near-Optimal Clustering

    Pan Xu, Cuong Nguyen, Srikanta Tirthapura · 2018

  10. Block arrivals in the Bitcoin blockchain

    R. Bowden, H. P. Keeler, A. E. Krzesinski, P. G. Taylor · 2018

  11. Why and How to Avoid the Flipped Quaternion Multiplication

    Hannes Sommer, Igor Gilitschenski, Michael Bloesch, Stephan Weiss, Roland Siegwart, Juan Nieto · 2018

  12. Survey on Emotional Body Gesture Recognition

    Fatemeh Noroozi, Ciprian Adrian Corneanu, Dorota Kamińska, Tomasz Sapiński, Sergio Escalera, Gholamreza Anbarjafari · 2018

  13. Deanonymizing Tor hidden service users through Bitcoin transactions analysis

    Husam Al Jawaheri, Mashael Al Sabah, Yazan Boshmaf, Aiman Erbad · 2018

  14. Mitigating Unwanted Biases with Adversarial Learning

    Brian Hu Zhang, Blake Lemoine, Margaret Mitchell · 2018

  15. Internal Universes in Models of Homotopy Type Theory

    Daniel R. Licata, Ian Orton, Andrew M. Pitts, Bas Spitters · 2018

  16. Bayesian Neural Networks

    Vikram Mullachery, Aniruddh Khera, Amir Husain · 2018

  17. PointCNN: Convolution On $\mathcal{X}$-Transformed Points

    Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, Baoquan Chen · 2018

  18. Scalable and accurate deep learning for electronic health records

    Alvin Rajkomar, Eyal Oren, Kai Chen, Andrew M. Dai, Nissan Hajaj, Peter J. Liu, Xiaobing Liu, Mimi Sun, Patrik Sundberg, Hector Yee, Kun Zhang, Gavin E. Duggan, Gerardo Flores, Michaela Hardt, Jamie Irvine, Quoc Le, Kurt Litsch, Jake Marcus, Alexander Mossin, Justin Tansuwan, De Wang, James Wexler, Jimbo Wilson, Dana Ludwig, Samuel L. Volchenboum, Katherine Chou, Michael Pearson, Srinivasan Madabushi, Nigam H. Shah, Atul J. Butte, Michael Howell, Claire Cui, Greg Corrado, Jeff Dean · 2018

  19. Adaptive Recurrent Neural Network Based on Mixture Layer

    Kui Zhao, Yuechuan Li, Chi Zhang, Cheng Yang, Huan Xu · 2018

  20. Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents

    Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick · 2018

  21. The Search for Dark Matter

    Laura Baudis · 2018

  22. Mad-Dog Everettianism: Quantum Mechanics at Its Most Minimal

    Sean M. Carroll, Ashmeet Singh · 2018

  23. Limits on the number of spacetime dimensions from GW170817

    Kris Pardo, Maya Fishbach, Daniel E. Holz, David N. Spergel · 2018

  24. Active Neural Localization

    Devendra Singh Chaplot, Emilio Parisotto, Ruslan Salakhutdinov · 2018

  25. A Comprehensive Survey of Watermarking Relational Databases Research

    Muhammad Kamran, Muddassar Farooq · 2018

  26. Directly Estimating the Variance of the λ-Return Using Temporal-Difference Methods

    Craig Sherstan, Brendan Bennett, Kenny Young, Dylan R. Ashley, Adam White, Martha White, Richard S. Sutton · 2018

  27. CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

    Xuejing Yuan, Yuxuan Chen, Yue Zhao, Yunhui Long, Xiaokang Liu, Kai Chen, Shengzhi Zhang, Heqing Huang, Xiaofeng Wang, Carl A. Gunter · 2018

  28. Effective Building Block Design for Deep Convolutional Neural Networks using Search

    Jayanta K Dutta, Jiayi Liu, Unmesh Kurup, Mohak Shah · 2018

  29. Making Sense of the Many Worlds Interpretation

    Stephen Boughn · 2018

  30. Structuring Spreadsheets with the "Lish" Data Model

    Alan Hall, Michel Wermelinger, Tony Hirst, Santi Phithakkitnukoon · 2018

  31. Quantum Multiverses

    James B. Hartle · 2018

  32. Pilot-Streaming: A Stream Processing Framework for High-Performance Computing

    Andre Luckow, George Chantzialexiou, Shantenu Jha · 2018

  33. Finding Maximum Cliques on the D-Wave Quantum Annealer

    Guillaume Chapuis, Hristo N. Djidjev, Georg Hahn, Guillaume Rizk · 2018

  34. 3D Scanning: A Comprehensive Survey

    Morteza Daneshmand, Ahmed Helmi, Egils Avots, Fatemeh Noroozi, Fatih Alisinanoglu, Hasan Sait Arslan, Jelena Gorbova, Rain Eric Haamer, Cagri Ozcinar, Gholamreza Anbarjafari · 2018

  35. Deflecting Adversarial Attacks with Pixel Deflection

    Aaditya Prakash, Nick Moran, Solomon Garber, Antonella DiLillo, James Storer · 2018

  36. Object category learning and retrieval with weak supervision

    Steven Hickson, Anelia Angelova, Irfan Essa, Rahul Sukthankar · 2018

  37. Generalized Points-to Graphs: A New Abstraction of Memory in the Presence of Pointers

    Pritam M. Gharat, Uday P. Khedker, Alan Mycroft · 2018

  38. Von Neumann's Impossibility Proof: Mathematics in the Service of Rhetorics

    Dennis Dieks · 2018

  39. Observation of the Meissner effect at room temperature in single-layer graphene brought into contact with alkanes

    Yasushi Kawashima · 2018

  40. Using deep Q-learning to understand the tax evasion behavior of risk-averse firms

    Nikolaos D. Goumagias, Dimitrios Hristu-Varsakelis, Yannis M. Assael · 2018

  41. Which NP-Hard SAT and CSP Problems Admit Exponentially Improved Algorithms?

    Victor Lagerkvist, Magnus Wahlström · 2018

  42. Extending the Algebraic Manipulability of Differentials

    Jonathan Bartlett, Asatur Zh. Khurshudyan · 2018

  43. Basic stochastic transmission models and their inference

    Tom Britton · 2018

  44. Deep Reinforcement Learning using Capsules in Advanced Game Environments

    Per-Arne Andersen · 2018

  45. Deep-STORM: super-resolution single-molecule microscopy by deep learning

    Elias Nehme, Lucien E. Weiss, Tomer Michaeli, Yoav Shechtman · 2018

  46. Spherical CNNs

    Taco S. Cohen, Mario Geiger, Jonas Koehler, Max Welling · 2018

  47. Generating Wikipedia by Summarizing Long Sequences

    Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer · 2018

  48. Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing

    James Garland, David Gregg · 2018

  49. Hyperledger Fabric: A Distributed Operating System for Permissioned Blockchains

    Elli Androulaki, Artem Barger, Vita Bortnikov, Christian Cachin, Konstantinos Christidis, Angelo De Caro, David Enyeart, Christopher Ferris, Gennady Laventman, Yacov Manevich, Srinivasan Muralidharan, Chet Murthy, Binh Nguyen, Manish Sethi, Gari Singh, Keith Smith, Alessandro Sorniotti, Chrysoula Stathakopoulou, Marko Vukolić, Sharon Weed Cocco, Jason Yellick · 2018

  50. Implications of Captured Interstellar Objects for Panspermia and Extraterrestrial Life

    Manasvi Lingam, Abraham Loeb · 2018

  51. Cataloging the Visible Universe through Bayesian Inference at Petascale

    Jeffrey Regier, Kiran Pamnany, Keno Fischer, Andreas Noack, Maximilian Lam, Jarrett Revels, Steve Howard, Ryan Giordano, David Schlegel, Jon McAuliffe, Rollin Thomas, Prabhat · 2018

  52. Deep Learning Works in Practice. But Does it Work in Theory?

    Lê Nguyên Hoang, Rachid Guerraoui · 2018

  53. Probing Planets in Extragalactic Galaxies Using Quasar Microlensing

    Xinyu Dai, Eduardo Guerras · 2018

  54. Call-by-name Gradual Type Theory

    Max S. New, Daniel R. Licata · 2018

  55. Leveraging Adiabatic Quantum Computation for Election Forecasting

    Maxwell Henderson, John Novak, Tristan Cook · 2018

  56. Observation of Discrete-Time-Crystal Signatures in an Ordered Dipolar Many-Body System

    Jared Rovny, Robert L. Blum, Sean E. Barrett · 2018

  57. Deep Neural Nets with Interpolating Function as Output Activation

    Bao Wang, Xiyang Luo, Zhen Li, Wei Zhu, Zuoqiang Shi, Stanley J. Osher · 2018

  58. Gravitational Starlight Deflection Measurements during the 21 August 2017 Total Solar Eclipse

    Donald G. Bruns · 2018

  59. Attacking the Nintendo 3DS Boot ROMs

    Michael Scire, Melissa Mears, Devon Maloney, Matthew Norman, Shaun Tux, Phoebe Monroe · 2018

  60. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

    Anish Athalye, Nicholas Carlini, David Wagner · 2018

  61. $^{31}$P NMR study of discrete time-crystalline signatures in an ordered crystal of ammonium dihydrogen phosphate

    Jared Rovny, Robert L. Blum, Sean E. Barrett · 2018

  62. Predicting outcomes for games of skill by redefining what it means to win

    J. Scott Moreland, Matthew C. Superdock · 2018

  63. Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations

    Michael Harradon, Jeff Druce, Brian Ruttenberg · 2018

  64. A Generative Model for Natural Sounds Based on Latent Force Modelling

    William J. Wilkinson, Joshua D. Reiss, Dan Stowell · 2018

  65. How do Humans Understand Explanations from Machine Learning Systems? An Evaluation of the Human-Interpretability of Explanation

    Menaka Narayanan, Emily Chen, Jeffrey He, Been Kim, Sam Gershman, Finale Doshi-Velez · 2018

  66. VIBNN: Hardware Acceleration of Bayesian Neural Networks

    Ruizhe Cai, Ao Ren, Ning Liu, Caiwen Ding, Luhao Wang, Xuehai Qian, Massoud Pedram, Yanzhi Wang · 2018

  67. Intriguing Properties of Randomly Weighted Networks: Generalizing While Learning Next to Nothing

    Amir Rosenfeld, John K. Tsotsos · 2018

  68. Mixed Precision Training of Convolutional Neural Networks using Integer Operations

    Dipankar Das, Naveen Mellempudi, Dheevatsa Mudigere, Dhiraj Kalamkar, Sasikanth Avancha, Kunal Banerjee, Srinivas Sridharan, Karthik Vaidyanathan, Bharat Kaul, Evangelos Georganas, Alexander Heinecke, Pradeep Dubey, Jesus Corbal, Nikita Shustrov, Roma Dubtsov, Evarist Fomenko, Vadim Pirogov · 2018

  69. Recent Advances in Efficient Computation of Deep Convolutional Neural Networks

    Jian Cheng, Peisong Wang, Gang Li, Qinghao Hu, Hanqing Lu · 2018

  70. Dynamics of Opinions with Social Biases

    Zihan Chen, Jiahu Qin, Bo Li, Hongsheng Qi, Peter Buchhorn, Guodong Shi · 2018

  71. Deep Temporal Clustering : Fully Unsupervised Learning of Time-Domain Features

    Naveen Sai Madiraju, Seid M. Sadat, Dimitry Fisher, Homa Karimabadi · 2018

  72. On some variants of the club principle

    Ashutosh Kumar, Saharon Shelah · 2018

  73. Anatomy of Leadership in Collective Behaviour

    Joshua Garland, Andrew M. Berdahl, Jie Sun, Erik Bollt · 2018

  74. Why do Things Fall?

    Leonard Susskind · 2018

  75. Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

    Gabriel Grand, Idan Asher Blank, Francisco Pereira, Evelina Fedorenko · 2018

  76. Data Augmentation of Railway Images for Track Inspection

    S Ritika, Dattaraj Rao · 2018

  77. To understand deep learning we need to understand kernel learning

    Mikhail Belkin, Siyuan Ma, Soumik Mandal · 2018

  78. First-order Adversarial Vulnerability of Neural Networks and Input Dimension

    Carl-Johann Simon-Gabriel, Yann Ollivier, Léon Bottou, Bernhard Schölkopf, David Lopez-Paz · 2018

  79. Variational image compression with a scale hyperprior

    Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston · 2018

  80. PinMe: Tracking a Smartphone User around the World

    Arsalan Mosenia, Xiaoliang Dai, Prateek Mittal, Niraj Jha · 2018

  81. The Matrix Calculus You Need For Deep Learning

    Terence Parr, Jeremy Howard · 2018

  82. Regularized Evolution for Image Classifier Architecture Search

    Esteban Real, Alok Aggarwal, Yanping Huang, Quoc V Le · 2018

  83. One-Shot Imitation from Observing Humans via Domain-Adaptive Meta-Learning

    Tianhe Yu, Chelsea Finn, Annie Xie, Sudeep Dasari, Tianhao Zhang, Pieter Abbeel, Sergey Levine · 2018

  84. IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

    Lasse Espeholt, Hubert Soyer, Remi Munos, Karen Simonyan, Volodymir Mnih, Tom Ward, Yotam Doron, Vlad Firoiu, Tim Harley, Iain Dunning, Shane Legg, Koray Kavukcuoglu · 2018

  85. Byte-Level Recursive Convolutional Auto-Encoder for Text

    Xiang Zhang, Yann LeCun · 2018

  86. RDMAvisor: Toward Deploying Scalable and Simple RDMA as a Service in Datacenters

    Zhi Wang, Xiaoliang Wang, Zhuzhong Qian, Baoliu Ye, Sanglu Lu · 2018

  87. A Survey Of Methods For Explaining Black Box Models

    Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini, Dino Pedreschi, Fosca Giannotti · 2018

  88. Analytical Cost Metrics : Days of Future Past

    Nirmal Prajapati, Sanjay Rajopadhye, Hristo Djidjev · 2018

  89. Improving Variational Encoder-Decoders in Dialogue Generation

    Xiaoyu Shen, Hui Su, Shuzi Niu, Vera Demberg · 2018

  90. Black Holes and Complexity Classes

    Leonard Susskind · 2018

  91. Interstellar communication. IX. Message decontamination is impossible

    Michael Hippke, John G. Learned · 2018

  92. Why Is There Something, Rather Than Nothing?

    Sean M. Carroll · 2018

  93. Universal Deep Neural Network Compression

    Yoojin Choi, Mostafa El-Khamy, Jungwon Lee · 2018

  94. Machine Learning-Based Prototyping of Graphical User Interfaces for Mobile Apps

    Kevin Moran, Carlos Bernal-Cárdenas, Michael Curcio, Richard Bonett, Denys Poshyvanyk · 2018

  95. MAGNETO: Covert Channel between Air-Gapped Systems and Nearby Smartphones via CPU-Generated Magnetic Fields

    Mordechai Guri, Andrey Daidakulov, Yuval Elovici · 2018

  96. Recent Advances in Neural Program Synthesis

    Neel Kant · 2018

  97. DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction

    Brandon Ballinger, Johnson Hsieh, Avesh Singh, Nimit Sohoni, Jack Wang, Geoffrey H. Tison, Gregory M. Marcus, Jose M. Sanchez, Carol Maguire, Jeffrey E. Olgin, Mark J. Pletcher · 2018

  98. Yes, but Did It Work?: Evaluating Variational Inference

    Yuling Yao, Aki Vehtari, Daniel Simpson, Andrew Gelman · 2018

  99. Zorua: Enhancing Programming Ease, Portability, and Performance in GPUs by Decoupling Programming Models from Resource Management

    Nandita Vijaykumar, Kevin Hsieh, Gennady Pekhimenko, Samira Khan, Ashish Shrestha, Saugata Ghose, Phillip B. Gibbons, Onur Mutlu · 2018

  100. Partisan: Enabling Cloud-Scale Erlang Applications

    Christopher Meiklejohn, Heather Miller · 2018