hunoutl/paperlists huggingface dataset:
Title: Emergent Complexity via Multi-Agent Competition
Authors: Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch
Affiliations: OpenAI; UMass Amherst
Conference: iclr 2018 (main track)
Keywords: multi-agent systems;multi-agent competition;self-play;deep reinforcement learning
Decision: Poster
Title: Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Authors: Marco Ancona, Enea Ceolini, Cengiz Öztireli, Markus Gross
Affiliations: Institute of Neuroinformatics, University Zürich and ETH Zürich; Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2018 (main track)
Keywords: Deep Neural Networks;Attribution methods;Theory of deep learning
Decision: Poster
Title: Unsupervised Neural Machine Translation
Authors: Mikel Artetxe, Gorka Labaka, Eneko Agirre, Kyunghyun Cho
Affiliations: IXA NLP Group, University of the Basque Country (UPV/EHU); New York University, CIFAR Azrieli Global Scholar
Conference: iclr 2018 (main track)
Keywords: neural machine translation;unsupervised learning
Decision: Poster
Title: Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
Authors: Jesse Engel, Matthew D Hoffman, Adam Roberts
Affiliations: Google Brain, San Francisco, CA, USA; Google Inc., San Francisco, CA, USA
Conference: iclr 2018 (main track)
Keywords: VAE;GAN;generative networks;conditional generation;latent-variable models
Decision: Poster
Title: Multi-level Residual Networks from Dynamical Systems View
Authors: Bo Chang, Lili Meng, Eldad Haber, Frederick Tung, David Begert
Affiliations: Xtract Technologies Inc., Vancouver, Canada; University of British Columbia & Xtract Technologies Inc., Vancouver, Canada; Simon Fraser University, Burnaby, Canada; University of British Columbia, Vancouver, Canada
Conference: iclr 2018 (main track)
Keywords: residual networks;dynamical systems
Decision: Poster
Title: Decoupling the Layers in Residual Networks
Authors: Ricky Fok, Aijun An, Zana Rashidi, Xiaogang Wang
Affiliations: Department of Electrical Engineering and Computer Science, York University, Toronto, M3J 1P3, Canada; Department of Mathematics and Statistics, York University, Toronto, M3J 1P3, Canada
Conference: iclr 2018 (main track)
Keywords: Warped residual networks;residual networks
Decision: Poster
Title: META LEARNING SHARED HIERARCHIES
Authors: Kevin Frans, Jonathan Ho,  , Pieter Abbeel, John Schulman
Affiliations: UC Berkeley, Department of Electrical Engineering and Computer Science; Henry M. Gunn High School; Work done as an intern at OpenAI; OpenAI
Conference: iclr 2018 (main track)
Keywords: hierarchal reinforcement learning;meta-learning
Decision: Poster
Title: Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling
Authors: Carlos Riquelme, George Tucker, Jasper Snoek
Affiliations: Google Brain
Conference: iclr 2018 (main track)
Keywords: exploration;Thompson Sampling;Bayesian neural networks;bandits;reinforcement learning;variational inference;Monte Carlo
Decision: Poster
Title: Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models
Authors: Wieland Brendel, Jonas Rauber, Matthias Bethge
Affiliations: Werner Reichardt Centre for Integrative Neuroscience, Eberhard Karls University Tübingen, Germany
Conference: iclr 2018 (main track)
Keywords: adversarial attacks;adversarial examples;adversarials;robustness;security
Decision: Poster
Title: Distributed Distributional Deterministic Policy Gradients
Authors: Gabriel Barth-maron, Matthew Hoffman, David Budden, Will Dabney, Daniel Horgan, Dhruva Tirumala, Alistair Muldal, Nicolas Heess, Timothy Lillicrap
Affiliations: DeepMind, London, UK
Conference: iclr 2018 (main track)
Keywords: policy gradient;continuous control;actor critic;reinforcement learning
Decision: Poster
Title: Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning
Authors: Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
Affiliations: Amazon Web Services; University of Texas at Austin; Carnegie Mellon University; University of Massachusetts, Amherst
Conference: iclr 2018 (main track)
Keywords: Knowledge Graphs;Reinforcement Learning;Query Answering
Decision: Poster
Title: Syntax-Directed Variational Autoencoder for Structured Data
Authors: Hanjun Dai, Yingtao Tian, Bo Dai, Steven Skiena, Le Song
Affiliations: College of Computing, Georgia Institute of Technology; Department of Computer Science, Stony Brook University; College of Computing, Georgia Institute of Technology and Ant Financial
Conference: iclr 2018 (main track)
Keywords: generative model for structured data;syntax-directed generation;molecule and program optimization;variational autoencoder
Decision: Poster
Title: Deep Learning and Quantum Entanglement: Fundamental Connections with Implications to Network Design
Authors: Yoav Levine, David Yakira, Nadav Cohen, Amnon Shashua
Affiliations: The Hebrew University of Jerusalem
Conference: iclr 2018 (main track)
Keywords: deep learning;quantum entanglement;quantum physics;many body physics;data correlations;inductive bias;tensor networks
Decision: Poster
Title: Backpropagation through the Void: Optimizing control variates for black-box gradient estimation
Authors: Will Grathwohl, Dami Choi, Yuhuai Wu, Geoffrey Roeder, David Duvenaud
Affiliations: University of Toronto and Vector Institute
Conference: iclr 2018 (main track)
Keywords: optimization;machine learning;variational inference;reinforcement learning;gradient estimation;deep learning;discrete optimization
Decision: Poster
Title: Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
Authors: Yi Zhou, Zimo Li, Shuangjiu Xiao, Chong He, Zeng Huang, Hao Li
Affiliations: University of Southern California, USC Institute for Creative Technologies, Pinscreen; Shanghai Jiao Tong University; University of Southern California
Conference: iclr 2018 (main track)
Keywords: motion synthesis;motion prediction;human pose;human motion;recurrent networks;lstm
Decision: Poster
Title: mixup: Beyond Empirical Risk Minimization
Authors: Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, David Lopez-Paz
Affiliations: FAIR; MIT
Conference: iclr 2018 (main track)
Keywords: empirical risk minimization;vicinal risk minimization;generalization;data augmentation;image classification;generative adversarial networks;adversarial examples;random labels
Decision: Poster
Title: Generalizing Across Domains via Cross-Gradient Training
Authors: Shiv Shankar, Vihari Piratla, Soumen Chakrabarti, Siddhartha Chaudhuri, Preethi Jyothi, Sunita Sarawagi
Affiliations: Department of Computer Science, Indian Institute of Technology Bombay and Adobe Research; Department of Computer Science, Indian Institute of Technology Bombay
Conference: iclr 2018 (main track)
Keywords: domain generalization;domain adaptation;adversarial learning;adversarial examples
Decision: Poster
Title: Learning Awareness Models
Authors: Brandon Amos, Laurent Dinh, Serkan Cabi, Thomas Rothörl, Sergio Gómez Colmenarejo, Alistair Muldal, Tom Erez, Yuval Tassa, Nando de Freitas, Misha Denil
Affiliations: Carnegie Mellon University; DeepMind, CIFAR; DeepMind; University of Montreal
Conference: iclr 2018 (main track)
Keywords: Awareness;Prediction;Seq2seq;Robots
Decision: Poster
Title: Generative networks as inverse problems with Scattering transforms
Authors: Tomás Angles, Stéphane Mallat
Affiliations: École normale supérieure, Collège de France, PSL Research University, 75005 Paris, France
Conference: iclr 2018 (main track)
Keywords: Unsupervised Learning;Inverse Problems;Convolutional Networks;Generative Models;Scattering Transform
Decision: Poster
Title: Deep Sensing: Active Sensing using Multi-directional Recurrent Neural Networks
Authors: Jinsung Yoon, William R Zame, Mihaela v Schaar
Affiliations: Department of Mathematics, Department of Economics, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA 90095, USA; Department of Engineering Science, University of Oxford, Oxford, UK; Alan Turing Institute, London, UK
Conference: iclr 2018 (main track)
Keywords: Active Sensing;Timely Prediction;Irregular Sampling;Missing Data
Decision: Poster
Title: Synthesizing realistic neural population activity patterns using Generative Adversarial Networks
Authors: Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri
Affiliations: University of Edinburgh, Edinburgh EH8 9AB, UK; University of Pennsylvania, Philadelphia, PA 19104; Laboratory of Neural Computation, Istituto Italiano di Tecnologia, 38068 Rovereto (TN), Italy
Conference: iclr 2018 (main track)
Keywords: GANs;Wasserstein-GANs;convolutional networks;neuroscience;spike train patterns;spike train analysis
Decision: Poster
Title: Mixed Precision Training
Authors: Paulius Micikevicius, SHARAN NARANG, Jonah Alben, Gregory Diamos, Erich K Elsen, David Garcia, Boris Ginsburg, Michael Houston, Oleksii Kuchaiev, Ganesh Venkatesh, Hao Wu
Affiliations: Baidu Research; NVIDIA
Conference: iclr 2018 (main track)
Keywords: Half precision;float16;Convolutional neural networks;Recurrent neural networks
Decision: Poster
Title: Kernel Implicit Variational Inference
Authors: Jiaxin Shi, Shengyang Sun, Jun Zhu
Affiliations: Department of Computer Science & Technology, THU Lab for Brain and AI, Tsinghua University; Department of Computer Science, University of Toronto
Conference: iclr 2018 (main track)
Keywords: Variational inference;Bayesian neural networks;Implicit distribution
Decision: Poster
Title: The Implicit Bias of Gradient Descent on Separable Data
Authors: Daniel Soudry, Elad Hoffer, Mor Shpigel Nacson, Nathan Srebro
Affiliations: Toyota Technological Institute at Chicago, Chicago, Illinois 60637, USA; Department of Electrical Engineering, Technion, Haifa, 320003, Israel
Conference: iclr 2018 (main track)
Keywords: gradient descent;implicit regularization;generalization;margin;logistic regression;loss functions;optimization;exponential tail;cross-entropy
Decision: Poster
Title: Few-shot Autoregressive Density Estimation: Towards Learning to Learn Distributions
Authors: Scott Reed, Yutian Chen, Thomas Paine, Aaron v den, S. M. Ali Eslami, Danilo Jimenez Rezende, Oriol Vinyals, Nando de Freitas
Affiliations: ; Google
Conference: iclr 2018 (main track)
Keywords: few-shot learning;density models;meta learning
Decision: Poster
Title: SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
Authors: Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
Affiliations: School of Computer Science, The Hebrew University, Israel; The Blavatnik School of Computer Science, Tel Aviv University, Israel
Conference: iclr 2018 (main track)
Keywords: Deep Learning;Non-convex Optmization;Generalization;Learning Theory;Neural Networks
Decision: Poster
Title: Emergent Communication in a Multi-Modal, Multi-Step Referential Game
Authors: Katrina Evtimova, Andrew Drozdov, Douwe Kiela, Kyunghyun Cho
Affiliations: Facebook AI Research; Center for Data Science. New York University; Department of Computer Science. New York University; CIFAR Azrieli Global Scholar
Conference: iclr 2018 (main track)
Keywords: emergent communication;multi-agent systems;multi-modal
Decision: Poster
Title: Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches
Authors: Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger Grosse
Affiliations: Columbia University, Google; University of Toronto, Vector Institute
Conference: iclr 2018 (main track)
Keywords: weight perturbation;reparameterization gradient;gradient variance reduction;evolution strategies;LSTM;regularization;optimization
Decision: Poster
Title: On the insufficiency of existing momentum schemes for Stochastic Optimization
Authors: Rahul Kidambi, Praneeth Netrapalli, Prateek Jain, Sham M Kakade
Affiliations: Microsoft Research India; University of Washington Seattle
Conference: iclr 2018 (main track)
Keywords: Stochastic Gradient Descent;Deep Learning;Momentum;Acceleration;Heavy Ball;Nesterov Acceleration;Stochastic Optimization;SGD;Accelerated Stochastic Gradient Descent
Decision: Oral
Title: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples
Authors: Yang Song, Taesup Kim, Sebastian Nowozin, Stefano Ermon, Nate Kushman
Affiliations: Stanford University; Université de Montréal; Microsoft Research
Conference: iclr 2018 (main track)
Keywords: Adversarial Examples;Generative Models;Purification;Hypothesis Testing
Decision: Poster
Title: Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation
Authors: Pietro Morerio, Jacopo Cavazza, Vittorio Murino
Affiliations: Pattern Analysis and Computer Vision (PA VIS), Istituto Italiano di Tecnologia - Genova, Italy; University of Verona, Department of Computer Science - Verona, Italy
Conference: iclr 2018 (main track)
Keywords: unsupervised domain adaptation;entropy minimization;image classification;deep transfer learning
Decision: Poster
Title: Graph Attention Networks
Authors: Petar Veličković, Guillem Cucurull Preixens, Arantxa Casanova Paga, Adriana Romero, Pietro Liò, Yoshua Bengio
Affiliations: Montréal Institute for Learning Algorithms; Centre de Visió per Computador, UAB; Department of Computer Science and Technology, University of Cambridge; Montréal Institute for Learning Algorithms, Facebook AI Research
Conference: iclr 2018 (main track)
Keywords: Deep Learning;Graph Convolutions;Attention;Self-Attention
Decision: Poster
Title: Simulating Action Dynamics with Neural Process Networks
Authors: Antoine Bosselut, Omer Levy, Ariel Holtzman, Corin Ennis, Dieter Fox, Yejin Choi
Affiliations: School of Science, Technology, Engineering & Mathematics, University of Washington - Bothell; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2018 (main track)
Keywords: representation learning;memory networks;state tracking
Decision: Poster
Title: Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Authors: Shuohang Wang, Mo Yu, Jing Jiang, Wei Zhang, Xiaoxiao Guo, Shiyu Chang, Zhiguo Wang, Tim Klinger, Gerald Tesauro, Murray Campbell
Affiliations: School of Information System, Singapore Management University; AI Foundations - Learning, IBM Research AI
Conference: iclr 2018 (main track)
Keywords: Question Answering;Deep Learning
Decision: Poster
Title: Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction
Authors: Da Xiao, Jo-Yu Liao, Xingyuan Yuan
Affiliations: School of Cyberspace Security, Beijing University of Posts and Telecommunications, China; ColorfulClouds Technology Co., Ltd, Beijing, China
Conference: iclr 2018 (main track)
Keywords: neural programming;Neural Programmer-Interpreter
Decision: Poster
Title: Learning Parametric Closed-Loop Policies for Markov Potential Games
Authors: Sergio Valcarcel Macua, Javier Zazo, Santiago Zazo
Affiliations: Information Processing and Telecommunications Center, Universidad Politécnica de Madrid, Madrid, Spain; PROWLER.io, Cambridge, UK
Conference: iclr 2018 (main track)
Keywords: Stochastic games;potential games;closed loop;reinforcement learning;multiagent systems
Decision: Poster
Title: Divide-and-Conquer Reinforcement Learning
Authors: Dibya Ghosh, Avi Singh, Aravind Rajeswaran, Vikash Kumar, Sergey Levine
Affiliations: University of California Berkeley; University of Washington Seattle
Conference: iclr 2018 (main track)
Keywords: deep reinforcement learning;reinforcement learning;policy gradients;model-free
Decision: Poster
Title: Towards Deep Learning Models Resistant to Adversarial Attacks
Authors: Aleksander Madry, Aleksandar A Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
Affiliations: Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
Conference: iclr 2018 (main track)
Keywords: adversarial examples;robust optimization;ML security
Decision: Poster
Title: Learning an Embedding Space for Transferable Robot Skills
Authors: Karol Hausman, Jost Tobias Springenberg, ziyu wang, Nicolas Heess, Martin Riedmiller
Affiliations: Department of Computer Science, University of Southern California; DeepMind
Conference: iclr 2018 (main track)
Keywords: Deep Reinforcement Learning;Variational Inference;Control;Robotics
Decision: Poster
Title: Stochastic Variational Video Prediction
Authors: Mohammad Babaeizadeh, Chelsea Finn, Dumitru Erhan, Roy H Campbell, Sergey Levine
Affiliations: University of Illinois at Urbana-Champaign; University of California, Berkeley; Google Brain
Conference: iclr 2018 (main track)
Keywords: video prediction;stochastic prediction;variational inference;unsupervised learning
Decision: Poster
Title: Learning Intrinsic Sparse Structures within Long Short-Term Memory
Authors: Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
Affiliations: Bing, Microsoft; Business AI, Microsoft; Electrical and Computer Engineering, Duke University
Conference: iclr 2018 (main track)
Keywords: Sparsity;Model Compression;Acceleration;LSTMs;Recurrent Neural Networks;Structural Learning
Decision: Poster
Title: Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
Affiliations: Institute of Natural Sciences, Shanghai Jiao Tong University; Department of Computer Science, University College London; London Centre for Nanotechnology, University College London; Department of Physics & Astronomy, University College London; GTN Ltd.
Conference: iclr 2018 (main track)
Keywords: Neural Networks;Tensor Networks;Tensor Trains
Decision: Reject
Title: The Reactor: A fast and sample-efficient Actor-Critic agent for Reinforcement Learning
Authors: Audrunas Gruslys, Will Dabney, Mohammad Gheshlaghi  Azar, Bilal Piot, Marc G Bellemare, Remi Munos
Affiliations: DeepMind; Google Brain
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;policy gradient;distributional reinforcement learning;distributed computing
Decision: Poster
Title: SCAN: Learning Hierarchical Compositional Visual Concepts
Authors: Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher Burgess, Matko Bošnjak, Murray Shanahan, Matthew Botvinick,  , Alexander Lerchner
Affiliations: DeepMind, London, UK
Conference: iclr 2018 (main track)
Keywords: grounded visual concepts;compositional representation;concept hierarchy;disentangling;beta-VAE;variational autoencoder;deep learning;generative model
Decision: Poster
Title: Modular Continual Learning in a Unified Visual Environment
Authors: Kevin Feigelis, Blue Sheffer, Daniel L Yamins
Affiliations: Departments of Psychology and Computer Science, Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305; Department of Psychology, Stanford University, Stanford, CA 94305; Department of Physics, Stanford Neurosciences Institute, Stanford University, Stanford, CA 94305
Conference: iclr 2018 (main track)
Keywords: Continual Learning;Neural Modules;Interface Learning;Task Switching;Reinforcement Learning;Visual Decision Making
Decision: Poster
Title: Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs
Authors: William Murdoch, Peter J Liu, Bin Yu
Affiliations: Department of Statistics, University of California, Berkeley; Department of Statistics, Department of EECS, University of California, Berkeley; Google Brain, Mountain View, CA
Conference: iclr 2018 (main track)
Keywords: interpretability;LSTM;natural language processing;sentiment analysis;interactions
Decision: Oral
Title: Boundary Seeking GANs
Authors: R Devon Hjelm, Athul Paul Jacob, Adam Trischler, Tong Che, Kyunghyun Cho, Yoshua Bengio
Affiliations: MILA, University of Montr´eal; MILA, University of Montr´eal, CIFAR, IV ADO; MSR; New York University, CIFAR Azrieli Global Scholar; MILA, University of Montr´eal, IV ADO; MILA, MSR, University of Waterloo
Conference: iclr 2018 (main track)
Keywords: Generative adversarial networks;generative learning;deep learning;neural networks;adversarial learning;discrete data
Decision: Poster
Title: Unsupervised Machine Translation Using Monolingual Corpora Only
Authors: Guillaume Lample,  , Ludovic Denoyer, Marc'Aurelio Ranzato
Affiliations: Facebook AI Research; Sorbonne Universit´es, UPMC Univ Paris 06, LIP6 UMR 7606, CNRS; Facebook AI Research, Sorbonne Universit´es, UPMC Univ Paris 06, LIP6 UMR 7606, CNRS
Conference: iclr 2018 (main track)
Keywords: unsupervised;machine translation;adversarial
Decision: Poster
Title: Scalable Private Learning with PATE
Authors: Nicolas Papernot, Shuang Song, Ilya Mironov, Ananth Raghunathan, Kunal Talwar, Ulfar Erlingsson
Affiliations: University of California San Diego; Pennsylvania State University; Google Brain
Conference: iclr 2018 (main track)
Keywords: privacy;differential privacy;machine learning;deep learning
Decision: Poster
Title: Ensemble Adversarial Training: Attacks and Defenses
Authors: Florian Tramer, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel
Affiliations: Stanford University; Pennsylvania State University; Google Brain
Conference: iclr 2018 (main track)
Keywords: Adversarial Examples;Adversarial Training;Attacks;Defenses;ImageNet
Decision: Poster
Title: Memory-based Parameter Adaptation
Authors: Pablo Sprechmann, Siddhant Jayakumar, Jack Rae, Alexander Pritzel, Adria Puigdomenech Badia, Benigno Uria, Oriol Vinyals, Demis Hassabis, Razvan Pascanu, Charles Blundell
Affiliations: DeepMind, London, UK
Conference: iclr 2018 (main track)
Decision: Poster
Title: Neural Language Modeling by Jointly Learning Syntax and Lexicon
Authors: Yikang Shen, Zhouhan Lin, Chin-Wei Huang, Aaron Courville
Affiliations: Department of Computer Science and Operations Research, Universit de Montral, Montral, QC H3C3J7, Canada
Conference: iclr 2018 (main track)
Keywords: Language model;unsupervised parsing
Decision: Poster
Title: MGAN: Training Generative Adversarial Nets with Multiple Generators
Authors: Quan Hoang, Tu D Nguyen, Trung Le, Dinh Phung
Affiliations: University of Massachusetts-Amherst, Amherst, MA, USA; PRaDA Centre, Deakin University, Geelong, Australia
Conference: iclr 2018 (main track)
Keywords: GANs;Mode Collapse;Mixture;Jensen-Shannon Divergence;Inception Score;Generator;Discriminator;CIFAR-10;STL-10;ImageNet
Decision: Poster
Title: Compositional Obverter Communication Learning from Raw Visual Input
Authors: Edward Choi, Angeliki Lazaridou, Nando de Freitas
Affiliations: DeepMind, London, UK; Georgia Institute of Technology, Atlanta, GA, USA
Conference: iclr 2018 (main track)
Keywords: compositional language;obverter;multi-agent communication;raw pixel input
Decision: Poster
Title: Large scale distributed neural network training through online distillation
Authors: Rohan Anil, Gabriel Pereyra, Alexandre Tachard Passos, Robert Ormandi, George Dahl, Geoffrey E Hinton
Affiliations: Google; Google DeepMind; Google Brain
Conference: iclr 2018 (main track)
Keywords: distillation;distributed training;neural networks;deep learning
Decision: Poster
Title: Learning a Generative Model for Validity in Complex Discrete Structures
Authors: David Janz, Jos van der Westhuizen, Brooks Paige, Matt J Kusner, José Miguel Hernández Lobato
Affiliations: Alan Turing Institute, University of Cambridge; University of Cambridge; Alan Turing Institute, University of Warwick
Conference: iclr 2018 (main track)
Keywords: Active learning;Reinforcement learning;Molecules
Decision: Poster
Title: Variational Network Quantization
Authors: Jan Achterhold, Jan Koehler, Anke Schmeink, Tim Genewein
Affiliations: Bosch Center for Artiﬁcial Intelligence, Robert Bosch GmbH, Renningen, Germany; RWTH Aachen University, Institute for Theoretical Information Technology, Aachen, Germany
Conference: iclr 2018 (main track)
Keywords: Network compression;variational inferene;ternary network;Bayesian neural network;weight quantization;weight sharing
Decision: Poster