All paper pages
28734 retained paper pages. Page 45 of 288.
- Measuring Fairness in Ranked Outputs
Ke Yang, Julia Stoyanovich · 2016
- A Review of 40 Years of Cognitive Architecture Research: Core Cognitive Abilities and Practical Applications
Iuliia Kotseruba, John K. Tsotsos · 2016
- Fencing off Go: Liveness and Safety for Channel-based Programming (extended version)
Julien Lange, Nicholas Ng, Bernardo Toninho, Nobuko Yoshida · 2016
- Detecting People in Artwork with CNNs
Nicholas Westlake, Hongping Cai, Peter Hall · 2016
- ANI-1: An extensible neural network potential with DFT accuracy at force field computational cost
Justin S. Smith, Olexandr Isayev, Adrian E. Roitberg · 2016
- Is the expansion of the universe accelerating? All signs point to yes
David Rubin, Brian Hayden · 2016
- Quantitative Evaluation of Gender Bias in Astronomical Publications from Citation Counts
Neven Caplar, Sandro Tacchella, Simon Birrer · 2016
- Long-term data storage in diamond
Siddharth Dhomkar, Jacob Henshaw, Harishankar Jayakumar, Carlos A. Meriles · 2016
- Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes
Jack W Rae, Jonathan J Hunt, Tim Harley, Ivo Danihelka, Andrew Senior, Greg Wayne, Alex Graves, Timothy P Lillicrap · 2016
- Fuzzy Bayesian Learning
Indranil Pan, Dirk Bester · 2016
- On the Expressive Power of User-Defined Effects: Effect Handlers, Monadic Reflection, Delimited Control
Yannick Forster, Ohad Kammar, Sam Lindley, Matija Pretnar · 2016
- Push vs. Pull-Based Loop Fusion in Query Engines
Amir Shaikhha, Mohammad Dashti, Christoph Koch · 2016
- Judging a Book By its Cover
Brian Kenji Iwana, Syed Tahseen Raza Rizvi, Sheraz Ahmed, Andreas Dengel, Seiichi Uchida · 2016
- Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
Daniel Neil, Michael Pfeiffer, Shih-Chii Liu · 2016
- Finding Street Gang Members on Twitter
Lakshika Balasuriya, Sanjaya Wijeratne, Derek Doran, Amit Sheth · 2016
- TensorLy: Tensor Learning in Python
Jean Kossaifi, Yannis Panagakis, Anima Anandkumar, Maja Pantic · 2016
- Fast-forwarding of Hamiltonians and Exponentially Precise Measurements
Yosi Atia, Dorit Aharonov · 2016
- Integration by differentiation: new proofs, methods and examples
Ding Jia, Eugene Tang, Achim Kempf · 2016
- PCA meets RG
Serena Bradde, William Bialek · 2016
- Edward: A library for probabilistic modeling, inference, and criticism
Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei · 2016
- Depth-Width Tradeoffs in Approximating Natural Functions with Neural Networks
Itay Safran, Ohad Shamir · 2016
- Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition
Hagen Soltau, Hank Liao, Hasim Sak · 2016
- Neural Machine Translation in Linear Time
Nal Kalchbrenner, Lasse Espeholt, Karen Simonyan, Aaron van den Oord, Alex Graves, Koray Kavukcuoglu · 2016
- Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D. Forbus, Ni Lao · 2016
- RNN Approaches to Text Normalization: A Challenge
Richard Sproat, Navdeep Jaitly · 2016
- Dual-Pivot Quicksort: Optimality, Analysis and Zeros of Associated Lattice Paths
Martin Aumüller, Martin Dietzfelbinger, Clemens Heuberger, Daniel Krenn, Helmut Prodinger · 2016
- Stochastic Variational Deep Kernel Learning
Andrew Gordon Wilson, Zhiting Hu, Ruslan Salakhutdinov, Eric P. Xing · 2016
- Using Artificial Intelligence to Identify State Secrets
Renato Rocha Souza, Flavio Codeco Coelho, Rohan Shah, Matthew Connelly · 2016
- The Machine Learning Algorithm as Creative Musical Tool
Rebecca Fiebrink, Baptiste Caramiaux · 2016
- Flood-Filling Networks
Michał Januszewski, Jeremy Maitin-Shepard, Peter Li, Jörgen Kornfeld, Winfried Denk, Viren Jain · 2016
- A cautionary note about self-reference
T. Parent · 2016
- A Performance Survey on Stack-based and Register-based Virtual Machines
Ruijie Fang, Siqi Liu · 2016
- TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games
Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier · 2016
- The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Chris J. Maddison, Andriy Mnih, Yee Whye Teh · 2016
- Deep Convolutional Neural Network Design Patterns
Leslie N. Smith, Nicholay Topin · 2016
- Learning to Pivot with Adversarial Networks
Gilles Louppe, Michael Kagan, Kyle Cranmer · 2016
- General and Fractional Hypertree Decompositions: Hard and Easy Cases
Wolfgang Fischl, Georg Gottlob, Reinhard Pichler · 2016
- Categorical Reparameterization with Gumbel-Softmax
Eric Jang, Shixiang Gu, Ben Poole · 2016
- RenderGAN: Generating Realistic Labeled Data
Leon Sixt, Benjamin Wild, Tim Landgraf · 2016
- Information Dropout: Learning Optimal Representations Through Noisy Computation
Alessandro Achille, Stefano Soatto · 2016
- STDP-based spiking deep convolutional neural networks for object recognition
Saeed Reza Kheradpisheh, Mohammad Ganjtabesh, Simon J Thorpe, Timothée Masquelier · 2016
- Using Hover to Compromise the Confidentiality of User Input on Android
Enis Ulqinaku, Luka Malisa, Julinda Stefa, Alessandro Mei, Srdjan Capkun · 2016
- Phenomenological Review on Quark-Gluon Plasma: Concepts vs. Observations
Roman Pasechnik, Michal Šumbera · 2016
- Quasi-Recurrent Neural Networks
James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher · 2016
- Neural Architecture Search with Reinforcement Learning
Barret Zoph, Quoc V. Le · 2016
- Dynamic Coattention Networks For Question Answering
Caiming Xiong, Victor Zhong, Richard Socher · 2016
- Combining policy gradient and Q-learning
Brendan O'Donoghue, Remi Munos, Koray Kavukcuoglu, Volodymyr Mnih · 2016
- Symmetry, stability, and computation of degenerate lasing modes
David Liu, Bo Zhen, Li Ge, Felipe Hernandez, Adi Pick, Stephan Burkhardt, Matthias Liertzer, Stefan Rotter, Steven G. Johnson · 2016
- Learning to superoptimize programs
Rudy Bunel, Alban Desmaison, M. Pawan Kumar, Philip H. S. Torr, Pushmeet Kohli · 2016
- Anti-gravity à la Carlotto-Schoen
Piotr T. Chruściel · 2016
- DeepCoder: Learning to Write Programs
Matej Balog, Alexander L. Gaunt, Marc Brockschmidt, Sebastian Nowozin, Daniel Tarlow · 2016
- The mise en scene of memristive networks: effective memory, dynamics and learning
Francesco Caravelli · 2016
- Cubical Type Theory: a constructive interpretation of the univalence axiom
Cyril Cohen, Thierry Coquand, Simon Huber, Anders Mörtberg · 2016
- Neural Networks Designing Neural Networks: Multi-Objective Hyper-Parameter Optimization
Sean C. Smithson, Guang Yang, Warren J. Gross, Brett H. Meyer · 2016
- Designing Neural Network Architectures using Reinforcement Learning
Bowen Baker, Otkrist Gupta, Nikhil Naik, Ramesh Raskar · 2016
- Unsupervised Cross-Domain Image Generation
Yaniv Taigman, Adam Polyak, Lior Wolf · 2016
- Hierarchical compositional feature learning
Miguel Lázaro-Gredilla, Yi Liu, D. Scott Phoenix, Dileep George · 2016
- Emergent Gravity and the Dark Universe
Erik P. Verlinde · 2016
- Neuromorphic Silicon Photonic Networks
Alexander N. Tait, Thomas Ferreira de Lima, Ellen Zhou, Allie X. Wu, Mitchell A. Nahmias, Bhavin J. Shastri, Paul R. Prucnal · 2016
- Application-layer Fault-Tolerance Protocols
Vincenzo De Florio · 2016
- Adversarial Ladder Networks
Juan Maroñas Molano, Alberto Albiol Colomer, Roberto Paredes Palacios · 2016
- A Convolutional Encoder Model for Neural Machine Translation
Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin · 2016
- Fingerprinting OpenFlow controllers: The first step to attack an SDN control plane
Abdelhadi Azzouni, Othmen Braham, Nguyen Thi Mai Trang, Guy Pujolle, Raouf Boutaba · 2016
- Meaning = Information + Evolution
Carlo Rovelli · 2016
- Quantum sensing
C. L. Degen, F. Reinhard, P. Cappellaro · 2016
- Fast and backward stable computation of roots of polynomials, Part II: backward error analysis; companion matrix and companion pencil
Jared L. Aurentz, Thomas Mach, Leonardo Robol, Raf Vandebril, David S. Watkins · 2016
- Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran, Peter J. Liu, Quoc V. Le · 2016
- Variational Lossy Autoencoder
Xi Chen, Diederik P. Kingma, Tim Salimans, Yan Duan, Prafulla Dhariwal, John Schulman, Ilya Sutskever, Pieter Abbeel · 2016
- The Meaning of the Wave Function: In Search of the Ontology of Quantum Mechanics
Shan Gao · 2016
- A backward pass through a CNN using a generative model of its activations
Huayan Wang, Anna Chen, Yi Liu, Dileep George, D. Scott Phoenix · 2016
- Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song · 2016
- RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Yan Duan, John Schulman, Xi Chen, Peter L. Bartlett, Ilya Sutskever, Pieter Abbeel · 2016
- Arb: Efficient Arbitrary-Precision Midpoint-Radius Interval Arithmetic
Fredrik Johansson · 2016
- Lie-Access Neural Turing Machines
Greg Yang, Alexander M. Rush · 2016
- Getting Started with Neural Models for Semantic Matching in Web Search
Kezban Dilek Onal, Ismail Sengor Altingovde, Pinar Karagoz, Maarten de Rijke · 2016
- Venus Long-life Surface Package
Colin Frank Wilson, Carl-Mikael Zetterling, William Thomas Pike · 2016
- Anthropogenic Space Weather
T. I. Gombosi, D. N. Baker, A. Balogh, P. J. Erickson, J. D. Huba, L. J. Lanzerotti · 2016
- Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes
Francisco Balzarotti, Yvan Eilers, Klaus C. Gwosch, Arvid H. Gynnå, Volker Westphal, Fernando D. Stefani, Johan Elf, Stefan W. Hell · 2016
- The Chandra Deep Field-South Survey: 7 Ms Source Catalogs
B. Luo, W. N. Brandt, Y. Q. Xue, B. Lehmer, D. M. Alexander, F. E. Bauer, F. Vito, G. Yang, A. R. Basu-Zych, A. Comastri, R. Gilli, Q. -S. Gu, A. E. Hornschemeier, A. Koekemoer, T. Liu, V. Mainieri, M. Paolillo, P. Ranalli, P. Rosati, D. P. Schneider, O. Shemmer, I. Smail, M. Sun, P. Tozzi, C. Vignali, J. -X. Wang · 2016
- Do We Really Understand the Cosmos?
T. Padmanabhan · 2016
- Understanding deep learning requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals · 2016
- Applying Chatbots to the Internet of Things: Opportunities and Architectural Elements
Rohan Kar, Rishin Haldar · 2016
- Towards the Science of Security and Privacy in Machine Learning
Nicolas Papernot, Patrick McDaniel, Arunesh Sinha, Michael Wellman · 2016
- A Connection between Generative Adversarial Networks, Inverse Reinforcement Learning, and Energy-Based Models
Chelsea Finn, Paul Christiano, Pieter Abbeel, Sergey Levine · 2016
- A Theory of Taxonomy
Guido D'Amico, Raul Rabadan, Matthew Kleban · 2016
- Joint Representation Learning of Text and Knowledge for Knowledge Graph Completion
Xu Han, Zhiyuan Liu, Maosong Sun · 2016
- Responses to Critiques on Machine Learning of Criminality Perceptions (Addendum of arXiv:1611.04135)
Xiaolin Wu, Xi Zhang · 2016
- CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi, Sergey Levine · 2016
- On the Quantitative Analysis of Decoder-Based Generative Models
Yuhuai Wu, Yuri Burda, Ruslan Salakhutdinov, Roger Grosse · 2016
- Designing, Building, Measuring and Testing a Constant Equivalent Fall Height Terrain Park Jump
Nicola Petrone, Matteo Cognolato, James A. McNeil, Mont Hubbard · 2016
- Adiabatic Quantum Computing
Tameem Albash, Daniel A. Lidar · 2016
- Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson, Mike Schuster, Quoc V. Le, Maxim Krikun, Yonghui Wu, Zhifeng Chen, Nikhil Thorat, Fernanda Viégas, Martin Wattenberg, Greg Corrado, Macduff Hughes, Jeffrey Dean · 2016
- Differentiable Genetic Programming
Dario Izzo, Francesco Biscani, Alessio Mereta · 2016
- Deeply supervised salient object detection with short connections
Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu, Ali Borji, Zhuowen Tu, Philip Torr · 2016
- PixelVAE: A Latent Variable Model for Natural Images
Ishaan Gulrajani, Kundan Kumar, Faruk Ahmed, Adrien Ali Taiga, Francesco Visin, David Vazquez, Aaron Courville · 2016
- The Amazing Mysteries of the Gutter: Drawing Inferences Between Panels in Comic Book Narratives
Mohit Iyyer, Varun Manjunatha, Anupam Guha, Yogarshi Vyas, Jordan Boyd-Graber, Hal Daumé, Larry Davis · 2016
- Designing Energy-Efficient Convolutional Neural Networks using Energy-Aware Pruning
Tien-Ju Yang, Yu-Hsin Chen, Vivienne Sze · 2016
- Training Spiking Deep Networks for Neuromorphic Hardware
Eric Hunsberger, Chris Eliasmith · 2016
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
Alireza Aghasi, Afshin Abdi, Nam Nguyen, Justin Romberg · 2016
- Lip Reading Sentences in the Wild
Joon Son Chung, Andrew Senior, Oriol Vinyals, Andrew Zisserman · 2016