All paper pages
28734 retained paper pages. Page 54 of 288.
- The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn · 2017
- The Kinetics Human Action Video Dataset
Will Kay, Joao Carreira, Karen Simonyan, Brian Zhang, Chloe Hillier, Sudheendra Vijayanarasimhan, Fabio Viola, Tim Green, Trevor Back, Paul Natsev, Mustafa Suleyman, Andrew Zisserman · 2017
- A Survey of Neuromorphic Computing and Neural Networks in Hardware
Catherine D. Schuman, Thomas E. Potok, Robert M. Patton, J. Douglas Birdwell, Mark E. Dean, Garrett S. Rose, James S. Plank · 2017
- GPU System Calls
Ján Veselý, Arkaprava Basu, Abhishek Bhattacharjee, Gabriel Loh, Mark Oskin, Steven K. Reinhardt · 2017
- A High-Performance Algorithm for Identifying Frequent Items in Data Streams
Daniel Anderson, Pryce Bevan, Kevin Lang, Edo Liberty, Lee Rhodes, Justin Thaler · 2017
- Deep adversarial neural decoding
Yağmur Güçlütürk, Umut Güçlü, Katja Seeliger, Sander Bosch, Rob van Lier, Marcel van Gerven · 2017
- Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall, Yarin Gal, Roberto Cipolla · 2017
- Deep Convolutional Neural Networks as strong gravitational lens detectors
C. Schaefer, M. Geiger, T. Kuntzer, J-P. Kneib · 2017
- Ensemble Adversarial Training: Attacks and Defenses
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel · 2017
- Adversarial Examples Are Not Easily Detected: Bypassing Ten Detection Methods
Nicholas Carlini, David Wagner · 2017
- Accelerated Hierarchical Density Clustering
Leland McInnes, John Healy · 2017
- The Meaning of Memory Safety
Arthur Azevedo de Amorim, Catalin Hritcu, Benjamin C. Pierce · 2017
- DeepMasterPrints: Generating MasterPrints for Dictionary Attacks via Latent Variable Evolution
Philip Bontrager, Aditi Roy, Julian Togelius, Nasir Memon, Arun Ross · 2017
- Recurrent Additive Networks
Kenton Lee, Omer Levy, Luke Zettlemoyer · 2017
- A type theory for synthetic $\infty$-categories
Emily Riehl, Michael Shulman · 2017
- Infrastructure for Usable Machine Learning: The Stanford DAWN Project
Peter Bailis, Kunle Olukotun, Christopher Re, Matei Zaharia · 2017
- AIXIjs: A Software Demo for General Reinforcement Learning
John Aslanides · 2017
- The grasshopper problem
Olga Goulko, Adrian Kent · 2017
- LOGAN: Membership Inference Attacks Against Generative Models
Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro · 2017
- On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig, Yoav Goldberg, Chris Dyer · 2017
- A Unified Approach to Interpreting Model Predictions
Scott Lundberg, Su-In Lee · 2017
- pix2code: Generating Code from a Graphical User Interface Screenshot
Tony Beltramelli · 2017
- Living Together: Mind and Machine Intelligence
Neil D. Lawrence · 2017
- Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela · 2017
- Visual Semantic Planning using Deep Successor Representations
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, Ali Farhadi · 2017
- Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein, Anders Søgaard · 2017
- Look, Listen and Learn
Relja Arandjelović, Andrew Zisserman · 2017
- Ridiculously Fast Shot Boundary Detection with Fully Convolutional Neural Networks
Michael Gygli · 2017
- The Marginal Value of Adaptive Gradient Methods in Machine Learning
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht · 2017
- Photonic topological pumping through the edges of a dynamical four-dimensional quantum Hall system
Oded Zilberberg, Sheng Huang, Jonathan Guglielmon, Mohan Wang, Kevin Chen, Yaacov E. Kraus, Mikael C. Rechtsman · 2017
- Reinforcement Learning with a Corrupted Reward Channel
Tom Everitt, Victoria Krakovna, Laurent Orseau, Marcus Hutter, Shane Legg · 2017
- Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber · 2017
- Efficiently applying attention to sequential data with the Recurrent Discounted Attention unit
Brendan Maginnis, Pierre H. Richemond · 2017
- Securing Real-Time Internet-of-Things
Chien-Ying Chen, Monowar Hasan, Sibin Mohan · 2017
- Selective Classification for Deep Neural Networks
Yonatan Geifman, Ran El-Yaniv · 2017
- The Future of Ad Blocking: An Analytical Framework and New Techniques
Grant Storey, Dillon Reisman, Jonathan Mayer, Arvind Narayanan · 2017
- Discovery of a new branch of the Taurid meteoroid stream as a real source of potentially hazardous bodies
P. Spurný, J. Borovička, H. Mucke, J. Svoreň · 2017
- Effect of partially-screened nuclei on fast-electron dynamics
Linnea Hesslow, Ola Embréus, Adam Stahl, Tim C. DuBois, Gergely Papp, Sarah L. Newton, Tünde Fülöp · 2017
- Bayesian Compression for Deep Learning
Christos Louizos, Karen Ullrich, Max Welling · 2017
- Continual Learning with Deep Generative Replay
Hanul Shin, Jung Kwon Lee, Jaehong Kim, Jiwon Kim · 2017
- General Algorithmic Search
Sergio Hernández, Guillem Duran, José M. Amigó · 2017
- Train longer, generalize better: closing the generalization gap in large batch training of neural networks
Elad Hoffer, Itay Hubara, Daniel Soudry · 2017
- When Will AI Exceed Human Performance? Evidence from AI Experts
Katja Grace, John Salvatier, Allan Dafoe, Baobao Zhang, Owain Evans · 2017
- Uncovering the Flop of the EU Cookie Law
Martino Trevisan, Stefano Traverso, Hassan Metwalley, Marco Mellia · 2017
- No snowball on habitable tidally locked planets
Jade Checlair, Kristen Menou, Dorian S. Abbot · 2017
- Counterfactual Multi-Agent Policy Gradients
Jakob Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson · 2017
- DeepSecure: Scalable Provably-Secure Deep Learning
Bita Darvish Rouhani, M. Sadegh Riazi, Farinaz Koushanfar · 2017
- First-spike based visual categorization using reward-modulated STDP
Milad Mozafari, Saeed Reza Kheradpisheh, Timothée Masquelier, Abbas Nowzari-Dalini, Mohammad Ganjtabesh · 2017
- Quantum-secured blockchain
E. O. Kiktenko, N. O. Pozhar, M. N. Anufriev, A. S. Trushechkin, R. R. Yunusov, Y. V. Kurochkin, A. I. Lvovsky, A. K. Fedorov · 2017
- Stabilizing Training of Generative Adversarial Networks through Regularization
Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann · 2017
- Pose Guided Person Image Generation
Liqian Ma, Xu Jia, Qianru Sun, Bernt Schiele, Tinne Tuytelaars, Luc Van Gool · 2017
- Learnable Programming: Blocks and Beyond
David Bau, Jeff Gray, Caitlin Kelleher, Josh Sheldon, Franklyn Turbak · 2017
- Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Huiling Chen, Jie Lin, Babar Nazir, Cen Chen, Tse Chiang Howe, Zeng Zeng, Vijay Chandrasekhar · 2017
- Breaking Lorentz reciprocity with frequency conversion and delay
Eric I. Rosenthal, Benjamin J. Chapman, Andrew P. Higginbotham, Joseph Kerckhoff, K. W. Lehnert · 2017
- Bayesian GAN
Yunus Saatchi, Andrew Gordon Wilson · 2017
- Deep Complex Networks
Chiheb Trabelsi, Olexa Bilaniuk, Ying Zhang, Dmitriy Serdyuk, Sandeep Subramanian, João Felipe Santos, Soroush Mehri, Negar Rostamzadeh, Yoshua Bengio, Christopher J Pal · 2017
- No alternative to proliferation
Daniele Oriti · 2017
- Rational minimax approximation via adaptive barycentric representations
Silviu-Ioan Filip, Yuji Nakatsukasa, Lloyd N. Trefethen, Bernhard Beckermann · 2017
- Machine Learned Learning Machines
Leigh Sheneman, Arend Hintze · 2017
- Stiffness of the human foot and evolution of the transverse arch
Madhusudhan Venkadesan, Marcelo A. Dias, Dhiraj K. Singh, Mahesh M. Bandi, Shreyas Mandre · 2017
- Constrained Policy Optimization
Joshua Achiam, David Held, Aviv Tamar, Pieter Abbeel · 2017
- Deep Learning is Robust to Massive Label Noise
David Rolnick, Andreas Veit, Serge Belongie, Nir Shavit · 2017
- Low Impact Artificial Intelligences
Stuart Armstrong, Benjamin Levinstein · 2017
- The Cramer Distance as a Solution to Biased Wasserstein Gradients
Marc G. Bellemare, Ivo Danihelka, Will Dabney, Shakir Mohamed, Balaji Lakshminarayanan, Stephan Hoyer, Rémi Munos · 2017
- A formula goes to court: Partisan gerrymandering and the efficiency gap
Mira Bernstein, Moon Duchin · 2017
- Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models
Gabriel Lima Guimaraes, Benjamin Sanchez-Lengeling, Carlos Outeiral, Pedro Luis Cunha Farias, Alán Aspuru-Guzik · 2017
- Does the Geometry of Word Embeddings Help Document Classification? A Case Study on Persistent Homology Based Representations
Paul Michel, Abhilasha Ravichander, Shruti Rijhwani · 2017
- Provably Safe Robot Navigation with Obstacle Uncertainty
Brian Axelrod, Leslie Pack Kaelbling, Tomás Lozano-Pérez · 2017
- The Atari Grand Challenge Dataset
Vitaly Kurin, Sebastian Nowozin, Katja Hofmann, Lucas Beyer, Bastian Leibe · 2017
- End-to-End Differentiable Proving
Tim Rocktäschel, Sebastian Riedel · 2017
- SuperSpike: Supervised learning in multi-layer spiking neural networks
Friedemann Zenke, Surya Ganguli · 2017
- Forecasting in the light of Big Data
Hykel Hosni, Angelo Vulpiani · 2017
- Putting a Face to the Voice: Fusing Audio and Visual Signals Across a Video to Determine Speakers
Ken Hoover, Sourish Chaudhuri, Caroline Pantofaru, Malcolm Slaney, Ian Sturdy · 2017
- Teaching Machines to Describe Images via Natural Language Feedback
Huan Ling, Sanja Fidler · 2017
- Automatic Differentiation using Constraint Handling Rules in Prolog
Samer Abdallah · 2017
- Achieveing reliable UDP transmission at 10 Gb/s using BSD socket for data acquisition systems
Morten Jagd Christensen, Tobias Richter · 2017
- Muscle-Cell-Based "Living Diodes"
Uryan Isik Can, Neerajha Nagarajan, Dervis Can Vural, Pinar Zorlutuna · 2017
- Deep Learning: A Bayesian Perspective
Nicholas Polson, Vadim Sokolov · 2017
- Knowledge Representation in Bicategories of Relations
Evan Patterson · 2017
- Decryption of Messages from Extraterrestrial Intelligence Using the Power of Social Media - The SETI Decrypt Challenge
René Heller · 2017
- Hyperparameter Optimization: A Spectral Approach
Elad Hazan, Adam Klivans, Yang Yuan · 2017
- A Survey on Security and Privacy Issues of Bitcoin
Mauro Conti, Sandeep Kumar E, Chhagan Lal, Sushmita Ruj · 2017
- A Fast x86 Implementation of Select
Prashant Pandey, Michael A. Bender, Rob Johnson · 2017
- InfiniteBoost: building infinite ensembles with gradient descent
Alex Rogozhnikov, Tatiana Likhomanenko · 2017
- A Comment On Berry Connections
Gregory W. Moore · 2017
- Submanifold Sparse Convolutional Networks
Benjamin Graham, Laurens van der Maaten · 2017
- Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille, Stefano Soatto · 2017
- A simple neural network module for relational reasoning
Adam Santoro, David Raposo, David G. T. Barrett, Mateusz Malinowski, Razvan Pascanu, Peter Battaglia, Timothy Lillicrap · 2017
- Blockchain based trust & authentication for decentralized sensor networks
Axel Moinet, Benoît Darties, Jean-Luc Baril · 2017
- On the Factorization of Non-Commutative Polynomials (in Free Associative Algebras)
Konrad Schrempf · 2017
- Inductive Representation Learning on Large Graphs
William L. Hamilton, Rex Ying, Jure Leskovec · 2017
- Graph Convolutional Matrix Completion
Rianne van den Berg, Thomas N. Kipf, Max Welling · 2017
- Stacked Convolutional and Recurrent Neural Networks for Music Emotion Recognition
Miroslav Malik, Sharath Adavanne, Konstantinos Drossos, Tuomas Virtanen, Dasa Ticha, Roman Jarina · 2017
- Detection of App Collusion Potential Using Logic Programming
Jorge Blasco, Thomas M. Chen, Igor Muttik, Markus Roggenbach · 2017
- CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Mustafa Mustafa, Deborah Bard, Wahid Bhimji, Zarija Lukić, Rami Al-Rfou, Jan M. Kratochvil · 2017
- Forward Thinking: Building and Training Neural Networks One Layer at a Time
Chris Hettinger, Tanner Christensen, Ben Ehlert, Jeffrey Humpherys, Tyler Jarvis, Sean Wade · 2017
- Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr, Sepp Hochreiter · 2017
- Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal, Piotr Dollár, Ross Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, Kaiming He · 2017
- Source Forager: A Search Engine for Similar Source Code
Vineeth Kashyap, David Bingham Brown, Ben Liblit, David Melski, Thomas Reps · 2017
- Summary Analysis of the 2017 GitHub Open Source Survey
R. Stuart Geiger · 2017