All paper pages
28734 retained paper pages. Page 62 of 288.
- Reuters Tracer: Toward Automated News Production Using Large Scale Social Media Data
Xiaomo Liu, Armineh Nourbakhsh, Quanzhi Li, Sameena Shah, Robert Martin, John Duprey · 2017
- BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity
Amirhossein Tavanaei, Anthony S. Maida · 2017
- Bitcoin and quantum computing
Louis Tessler, Tim Byrnes · 2017
- Self-Regulating Artificial General Intelligence
Joshua S. Gans · 2017
- Souper: A Synthesizing Superoptimizer
Raimondas Sasnauskas, Yang Chen, Peter Collingbourne, Jeroen Ketema, Gratian Lup, Jubi Taneja, John Regehr · 2017
- Grothendieck constant is norm of Strassen matrix multiplication tensor
Jinjie Zhang, Shmuel Friedland, Lek-Heng Lim · 2017
- Sixteen space-filling curves and traversals for d-dimensional cubes and simplices
Herman Haverkort · 2017
- Learning Explanatory Rules from Noisy Data
Richard Evans, Edward Grefenstette · 2017
- Three Factors Influencing Minima in SGD
Stanisław Jastrzębski, Zachary Kenton, Devansh Arpit, Nicolas Ballas, Asja Fischer, Yoshua Bengio, Amos Storkey · 2017
- Vulnerabilities of Electric Vehicle Battery Packs to Cyberattacks
Shashank Sripad, Sekar Kulandaivel, Vikram Pande, Vyas Sekar, Venkatasubramanian Viswanathan · 2017
- Overcoming data scarcity with transfer learning
Maxwell L. Hutchinson, Erin Antono, Brenna M. Gibbons, Sean Paradiso, Julia Ling, Bryce Meredig · 2017
- Decoupled Weight Decay Regularization
Ilya Loshchilov, Frank Hutter · 2017
- Deep Rewiring: Training very sparse deep networks
Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein · 2017
- CryptoDL: Deep Neural Networks over Encrypted Data
Ehsan Hesamifard, Hassan Takabi, Mehdi Ghasemi · 2017
- CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar, Jeremy Irvin, Kaylie Zhu, Brandon Yang, Hershel Mehta, Tony Duan, Daisy Ding, Aarti Bagul, Curtis Langlotz, Katie Shpanskaya, Matthew P. Lungren, Andrew Y. Ng · 2017
- Online Political Discourse in the Trump Era
Rishab Nithyanand, Brian Schaffner, Phillipa Gill · 2017
- Towards Plausible Graph Anonymization
Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes · 2017
- Explicit Chabauty-Kim for the Split Cartan Modular Curve of Level 13
Jennifer S. Balakrishnan, Netan Dogra, J. Steffen Müller, Jan Tuitman, Jan Vonk · 2017
- Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs
Shaohuai Shi, Qiang Wang, Xiaowen Chu · 2017
- Sub-committee Approval Voting and Generalised Justified Representation Axioms
Haris Aziz, Barton E. Lee · 2017
- VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou, Oncel Tuzel · 2017
- Learning SO(3) Equivariant Representations with Spherical CNNs
Carlos Esteves, Christine Allen-Blanchette, Ameesh Makadia, Kostas Daniilidis · 2017
- Leave no Trace: Learning to Reset for Safe and Autonomous Reinforcement Learning
Benjamin Eysenbach, Shixiang Gu, Julian Ibarz, Sergey Levine · 2017
- The Cultural Evolution of National Constitutions
Daniel N. Rockmore, Chen Fang, Nicholas J. Foti, Tom Ginsburg, David C. Krakauer · 2017
- MIT Advanced Vehicle Technology Study: Large-Scale Naturalistic Driving Study of Driver Behavior and Interaction with Automation
Lex Fridman, Daniel E. Brown, Michael Glazer, William Angell, Spencer Dodd, Benedikt Jenik, Jack Terwilliger, Aleksandr Patsekin, Julia Kindelsberger, Li Ding, Sean Seaman, Alea Mehler, Andrew Sipperley, Anthony Pettinato, Bobbie Seppelt, Linda Angell, Bruce Mehler, Bryan Reimer · 2017
- Global Nonlinear Stability of Schwarzschild Spacetime under Polarized Perturbations
Sergiu Klainerman, Jeremie Szeftel · 2017
- Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time
Chantat Eksombatchai, Pranav Jindal, Jerry Zitao Liu, Yuchen Liu, Rahul Sharma, Charles Sugnet, Mark Ulrich, Jure Leskovec · 2017
- Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
Jiyang Gao, Zijian, Guo, Zhen Li, Ram Nevatia · 2017
- Dynamic Distributed Storage for Scaling Blockchains
Ravi Kiran Raman, Lav R. Varshney · 2017
- Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images
Christoph Wick, Frank Puppe · 2017
- UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Simon Meister, Junhwa Hur, Stefan Roth · 2017
- Parton distributions and lattice QCD calculations: a community white paper
Huey-Wen Lin, Emanuele R. Nocera, Fred Olness, Kostas Orginos, Juan Rojo, Alberto Accardi, Constantia Alexandrou, Alessandro Bacchetta, Giuseppe Bozzi, Jiunn-Wei Chen, Sara Collins, Amanda Cooper-Sarkar, Martha Constantinou, Luigi Del Debbio, Michael Engelhardt, Jeremy Green, Rajan Gupta, Lucian A. Harland-Lang, Tomomi Ishikawa, Aleksander Kusina, Keh-Fei Liu, Simonetta Liuti, Christopher Monahan, Pavel Nadolsky, Jian-Wei Qiu, Ingo Schienbein, Gerrit Schierholz, Robert S. Thorne, Werner Vogelsang, Hartmut Wittig, C. -P. Yuan, James Zanotti · 2017
- Non-local Neural Networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, Kaiming He · 2017
- Posterior Sampling for Large Scale Reinforcement Learning
Georgios Theocharous, Zheng Wen, Yasin Abbasi-Yadkori, Nikos Vlassis · 2017
- MemJam: A False Dependency Attack against Constant-Time Crypto Implementations
Ahmad Moghimi, Thomas Eisenbarth, Berk Sunar · 2017
- OSQP: An Operator Splitting Solver for Quadratic Programs
Bartolomeo Stellato, Goran Banjac, Paul Goulart, Alberto Bemporad, Stephen Boyd · 2017
- Recurrent Relational Networks
Rasmus Berg Palm, Ulrich Paquet, Ole Winther · 2017
- PartiSan: Fast and Flexible Sanitization via Run-time Partitioning
Julian Lettner, Dokyung Song, Taemin Park, Stijn Volckaert, Per Larsen, Michael Franz · 2017
- Shift: A Zero FLOP, Zero Parameter Alternative to Spatial Convolutions
Bichen Wu, Alvin Wan, Xiangyu Yue, Peter Jin, Sicheng Zhao, Noah Golmant, Amir Gholaminejad, Joseph Gonzalez, Kurt Keutzer · 2017
- Genetic Algorithms for Evolving Computer Chess Programs
Eli David, H. Jaap van den Herik, Moshe Koppel, Nathan S. Netanyahu · 2017
- BlockDrop: Dynamic Inference Paths in Residual Networks
Zuxuan Wu, Tushar Nagarajan, Abhishek Kumar, Steven Rennie, Larry S. Davis, Kristen Grauman, Rogerio Feris · 2017
- Temporal Relational Reasoning in Videos
Bolei Zhou, Alex Andonian, Aude Oliva, Antonio Torralba · 2017
- Characterization of Pulsar Sources for X-ray Navigation
Paul S. Ray, Kent S. Wood, Michael T. Wolff · 2017
- Safer Classification by Synthesis
William Wang, Angelina Wang, Aviv Tamar, Xi Chen, Pieter Abbeel · 2017
- No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World
Shreya Shankar, Yoni Halpern, Eric Breck, James Atwood, Jimbo Wilson, D. Sculley · 2017
- Critical Learning Periods in Deep Neural Networks
Alessandro Achille, Matteo Rovere, Stefano Soatto · 2017
- Fake News Detection in Social Networks via Crowd Signals
Sebastian Tschiatschek, Adish Singla, Manuel Gomez Rodriguez, Arpit Merchant, Andreas Krause · 2017
- Working with Stephen
James B. Hartle · 2017
- Demystifying AlphaGo Zero as AlphaGo GAN
Xiao Dong, Jiasong Wu, Ling Zhou · 2017
- Generalizing Hamiltonian Monte Carlo with Neural Networks
Daniel Levy, Matthew D. Hoffman, Jascha Sohl-Dickstein · 2017
- Refinement Types for Ruby
Milod Kazerounian, Niki Vazou, Austin Bourgerie, Jeffrey S. Foster, Emina Torlak · 2017
- Total Haskell is Reasonable Coq
Antal Spector-Zabusky, Joachim Breitner, Christine Rizkallah, Stephanie Weirich · 2017
- DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
Jameson Merkow, Robert Lufkin, Kim Nguyen, Stefano Soatto, Zhuowen Tu, Andrea Vedaldi · 2017
- Improving Function Coverage with Munch: A Hybrid Fuzzing and Directed Symbolic Execution Approach
Saahil Ognawala, Thomas Hutzelmann, Eirini Psallida, Alexander Pretschner · 2017
- Quantum Artificial Life in an IBM Quantum Computer
U. Alvarez-Rodriguez, M. Sanz, L. Lamata, E. Solano · 2017
- Neural Text Generation: A Practical Guide
Ziang Xie · 2017
- Extracting Automata from Recurrent Neural Networks Using Queries and Counterexamples
Gail Weiss, Yoav Goldberg, Eran Yahav · 2017
- Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars · 2017
- DeepChess: End-to-End Deep Neural Network for Automatic Learning in Chess
Eli David, Nathan S. Netanyahu, Lior Wolf · 2017
- On the Conceptuality Interpretation of Quantum and Relativity Theories
Diederik Aerts, Massimiliano Sassoli de Bianchi, Sandro Sozzo, Tomas Veloz · 2017
- Distilling a Neural Network Into a Soft Decision Tree
Nicholas Frosst, Geoffrey Hinton · 2017
- AI Safety Gridworlds
Jan Leike, Miljan Martic, Victoria Krakovna, Pedro A. Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, Shane Legg · 2017
- Key Science Goals for the Next Generation Very Large Array (ngVLA): Report from the ngVLA Science Advisory Council
Alberto D. Bolatto, Shami Chatterjee, Caitlin M. Casey, Laura Chomiuk, Imke de Pater, Mark Dickinson, James Di Francesco, Gregg Hallinan, Andrea Isella, Kotaro Kohno, Shrinivas R. Kulkarni, Cornelia Lang, T. Joseph W. Lazio, Adam K. Leroy, Laurent Loinard, Thomas J. Maccarone, Brenda C. Matthews, Rachel A. Osten, Mark J. Reid, Dominik Riechers, Nami Sakai, Fabian Walter, David Wilner · 2017
- Attentive Generative Adversarial Network for Raindrop Removal from a Single Image
Rui Qian, Robby T. Tan, Wenhan Yang, Jiajun Su, Jiaying Liu · 2017
- Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner, Stephen H. Bach, Henry Ehrenberg, Jason Fries, Sen Wu, Christopher Ré · 2017
- Are GANs Created Equal? A Large-Scale Study
Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet · 2017
- Learning to Segment Every Thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, Ross Girshick · 2017
- Parallel WaveNet: Fast High-Fidelity Speech Synthesis
Aaron van den Oord, Yazhe Li, Igor Babuschkin, Karen Simonyan, Oriol Vinyals, Koray Kavukcuoglu, George van den Driessche, Edward Lockhart, Luis C. Cobo, Florian Stimberg, Norman Casagrande, Dominik Grewe, Seb Noury, Sander Dieleman, Erich Elsen, Nal Kalchbrenner, Heiga Zen, Alex Graves, Helen King, Tom Walters, Dan Belov, Demis Hassabis · 2017
- Backprop as Functor: A compositional perspective on supervised learning
Brendan Fong, David I. Spivak, Rémy Tuyéras · 2017
- Improved Techniques for Preparing Eigenstates of Fermionic Hamiltonians
Dominic W. Berry, Mária Kieferová, Artur Scherer, Yuval R. Sanders, Guang Hao Low, Nathan Wiebe, Craig Gidney, Ryan Babbush · 2017
- Openmv: A Python powered, extensible machine vision camera
Ibrahim Abdelkader, Yasser El-Sonbaty, Mohamed El-Habrouk · 2017
- Analytic sphere eversion using ruled surfaces
Adam Bednorz, Witold Bednorz · 2017
- AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks
Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He · 2017
- The Complete transmission spectrum of WASP-39b with a precise water constraint
Hannah R. Wakeford, David K. Sing, Drake Deming, Nikole K. Lewis, Jayesh Goyal, Tom J. Wilson, Joanna Barstow, Tiffany Kataria, Benjamin Drummond, Thomas M. Evans, Aarynn L. Carter, Nikolay Nikolov, Heather A. Knutson, Gilda E. Ballester, Avi M. Mandell · 2017
- Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
Maziar Raissi, Paris Perdikaris, George Em Karniadakis · 2017
- FearNet: Brain-Inspired Model for Incremental Learning
Ronald Kemker, Christopher Kanan · 2017
- TensorFlow Distributions
Joshua V. Dillon, Ian Langmore, Dustin Tran, Eugene Brevdo, Srinivas Vasudevan, Dave Moore, Brian Patton, Alex Alemi, Matt Hoffman, Rif A. Saurous · 2017
- A recurrent neural network for classification of unevenly sampled variable stars
Brett Naul, Joshua S. Bloom, Fernando Pérez, Stéfan van der Walt · 2017
- Image2Mesh: A Learning Framework for Single Image 3D Reconstruction
Jhony K. Pontes, Chen Kong, Sridha Sridharan, Simon Lucey, Anders Eriksson, Clinton Fookes · 2017
- Deep Image Prior
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky · 2017
- Now Playing: Continuous low-power music recognition
Blaise Agüera y Arcas, Beat Gfeller, Ruiqi Guo, Kevin Kilgour, Sanjiv Kumar, James Lyon, Julian Odell, Marvin Ritter, Dominik Roblek, Matthew Sharifi, Mihajlo Velimirović · 2017
- Toward the first quantum simulation with quantum speedup
Andrew M. Childs, Dmitri Maslov, Yunseong Nam, Neil J. Ross, Yuan Su · 2017
- Direct detection of a break in the teraelectronvolt cosmic-ray spectrum of electrons and positrons
G. Ambrosi, Q. An, R. Asfandiyarov, P. Azzarello, P. Bernardini, B. Bertucci, M. S. Cai, J. Chang, D. Y. Chen, H. F. Chen, J. L. Chen, W. Chen, M. Y. Cui, T. S. Cui, A. D'Amone, A. De Benedittis, I. De Mitri, M. Di Santo, J. N. Dong, T. K. Dong, Y. F. Dong, Z. X. Dong, G. Donvito, D. Droz, K. K. Duan, J. L. Duan, M. Duranti, D. D'Urso, R. R. Fan, Y. Z. Fan, F. Fang, C. Q. Feng, L. Feng, P. Fusco, V. Gallo, F. J. Gan, M. Gao, S. S. Gao, F. Gargano, S. Garrappa, K. Gong, Y. Z. Gong, D. Y. Guo, J. H. Guo, Y. M. Hu, G. S. Huang, Y. Y. Huang, M. Ionica, D. Jiang, W. Jiang, X. Jin, J. Kong, S. J. Lei, S. Li, X. Li, W. L. Li, Y. Li, Y. F. Liang, Y. M. Liang, N. H. Liao, H. Liu, J. Liu, S. B. Liu, W. Q. Liu, Y. Liu, F. Loparco, M. Ma, P. X. Ma, S. Y. Ma, T. Ma, X. Q. Ma, X. Y. Ma, G. Marsella, M. N. Mazziotta, D. Mo, X. Y. Niu, X. Y. Peng, W. X. Peng, R. Qiao, J. N. Rao, M. M. Salinas, G. Z. Shang, W. H. Shen, Z. Q. Shen, Z. T. Shen, J. X. Song, H. Su, M. Su, Z. Y. Sun, A. Surdo, X. J. Teng, X. B. Tian, A. Tykhonov, V. Vagelli, S. Vitillo, C. Wang, H. Wang, H. Y. Wang, J. Z. Wang, L. G. Wang, Q. Wang, S. Wang, X. H. Wang, X. L. Wang, Y. F. Wang, Y. P. Wang, Y. Z. Wang, S. C. Wen, Z. M. Wang, D. M. Wei, J. J. Wei, Y. F. Wei, D. Wu, J. Wu, L. B. Wu, S. S. Wu, X. Wu, K. Xi, Z. Q. Xia, Y. L. Xin, H. T. Xu, Z. L. Xu, Z. Z. Xu, G. F. Xue, H. B. Yang, P. Yang, Y. Q. Yang, Z. L. Yang, H. J. Yao, Y. H. Yu, Q. Yuan, C. Yue, J. J. Zang, C. Zhang, D. L. Zhang, F. Zhang, J. B. Zhang, J. Y. Zhang, J. Z. Zhang, L. Zhang, P. F. Zhang, S. X. Zhang, W. Z. Zhang, Y. Zhang, Y. J. Zhang, Y. Q. Zhang, Y. L. Zhang, Y. P. Zhang, Z. Zhang, Z. Y. Zhang, H. Zhao, H. Y. Zhao, X. F. Zhao, C. Y. Zhou, Y. Zhou, X. Zhu, Y. Zhu, S. Zimmer · 2017
- Women's visibility in academic seminars: women ask fewer questions than men
Alecia Carter, Alyssa Croft, Dieter Lukas, Gillian Sandstrom · 2017
- Security Risks in Deep Learning Implementations
Qixue Xiao, Kang Li, Deyue Zhang, Weilin Xu · 2017
- A Multi-Horizon Quantile Recurrent Forecaster
Ruofeng Wen, Kari Torkkola, Balakrishnan Narayanaswamy, Dhruv Madeka · 2017
- A problem with the analysis of type Ia supernovae
David F. Crawford · 2017
- Quantum Neuron: an elementary building block for machine learning on quantum computers
Yudong Cao, Gian Giacomo Guerreschi, Alán Aspuru-Guzik · 2017
- A Closer Look at Spatiotemporal Convolutions for Action Recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri · 2017
- Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)
Been Kim, Martin Wattenberg, Justin Gilmer, Carrie Cai, James Wexler, Fernanda Viegas, Rory Sayres · 2017
- ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases
Pierre Stock, Moustapha Cisse · 2017
- Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo, Yoshua Bengio · 2017
- A mildly relativistic wide-angle outflow in the neutron star merger GW170817
K. P. Mooley, E. Nakar, K. Hotokezaka, G. Hallinan, A. Corsi, D. A. Frail, A. Horesh, T. Murphy, E. Lenc, D. L. Kaplan, K. De, D. Dobie, P. Chandra, A. Deller, O. Gottlieb, M. M. Kasliwal, S. R. Kulkarni, S. T. Myers, S. Nissanke, T. Piran, C. Lynch, V. Bhalerao, S. Bourke, K. W. Bannister, L. P. Singer · 2017
- Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang, Deqing Sun, Varun Jampani, Ming-Hsuan Yang, Erik Learned-Miller, Jan Kautz · 2017
- Experimental learning of quantum states
Andrea Rocchetto, Scott Aaronson, Simone Severini, Gonzalo Carvacho, Davide Poderini, Iris Agresti, Marco Bentivegna, Fabio Sciarrino · 2017
- InclusiveFaceNet: Improving Face Attribute Detection with Race and Gender Diversity
Hee Jung Ryu, Hartwig Adam, Margaret Mitchell · 2017
- Time Limits in Reinforcement Learning
Fabio Pardo, Arash Tavakoli, Vitaly Levdik, Petar Kormushev · 2017
- Deep Learning Scaling is Predictable, Empirically
Joel Hestness, Sharan Narang, Newsha Ardalani, Gregory Diamos, Heewoo Jun, Hassan Kianinejad, Md. Mostofa Ali Patwary, Yang Yang, Yanqi Zhou · 2017
- Tumbling motion of 1I/'Oumuamua reveals body's violent past
Michal Drahus, Piotr Guzik, Waclaw Waniak, Barbara Handzlik, Sebastian Kurowski, Siyi Xu · 2017
- Graph Signal Processing: Overview, Challenges and Applications
Antonio Ortega, Pascal Frossard, Jelena Kovačević, José M. F. Moura, Pierre Vandergheynst · 2017