hunoutl/paperlists huggingface dataset:
Title: Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
Authors: Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Arik, Ajay Kannan, SHARAN NARANG, Jonathan Raiman, John Miller
Affiliations: Baidu Research; University of California, Berkeley; OpenAI
Conference: iclr 2018 (main track)
Keywords: 2000-Speaker Neural TTS;Monotonic Attention;Speech Synthesis
Decision: Poster
Title: An image representation based convolutional network for DNA classification
Authors: Bojian Yin, Marleen Balvert, Davide Zambrano, Alexander Schoenhuth, Sander Bohte
Affiliations: Department of Biology, University of Utrecht, The Netherlands; Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands
Conference: iclr 2018 (main track)
Keywords: DNA sequences;Hilbert curves;Convolutional neural networks;chromatin structure
Decision: Poster
Title: Learning Sparse Latent Representations with the Deep Copula Information Bottleneck
Authors: Aleksander Wieczorek, Mario Wieser, Damian Murezzan, Volker Roth
Affiliations: University of Basel, Switzerland
Conference: iclr 2018 (main track)
Keywords: Information Bottleneck;Deep Information Bottleneck;Deep Variational Information Bottleneck;Variational Autoencoder;Sparsity;Disentanglement;Interpretability;Copula;Mutual Information
Decision: Poster
Title: Multi-Scale Dense Networks for Resource Efficient Image Classification
Authors: Gao Huang, Danlu Chen, Tianhong Li, Felix Wu, Laurens van der Maaten, Kilian Weinberger
Affiliations: Facebook AI Research; Cornell University; Tsinghua University; Fudan University
Conference: iclr 2018 (main track)
Keywords: efficient learning;budgeted learning;deep learning;image classification;convolutional networks
Decision: Oral
Title: Imitation Learning from Visual Data with Multiple Intentions
Authors: Aviv Tamar, Khashayar Rohanimanesh, Yinlam Chow, Chris Vigorito, Ben Goodrich, Michael Kahane, Derik Pridmore
Affiliations: Osaro Inc.; EECS Department, UC Berkeley
Conference: iclr 2018 (main track)
Keywords: multi-modal imitation learning;deep learning;generative models;stochastic neural networks
Decision: Poster
Title: Emergent Communication through Negotiation
Authors: Kris Cao, Angeliki Lazaridou, Marc Lanctot, Joel Z Leibo, Karl Tuyls, Stephen Clark
Affiliations: DeepMind, London, UK; Department of Computer Science and Technology, University of Cambridge, UK
Conference: iclr 2018 (main track)
Keywords: multi-agent learning;reinforcement learning;game theory;emergent communication
Decision: Poster
Title: Certifying Some Distributional Robustness with Principled Adversarial Training
Authors: Aman Sinha, Hong Namkoong, John Duchi
Affiliations: Departments of Electrical Engineering and Statistics, Stanford University; Departments of Management Science & Engineering, Stanford University; Departments of Electrical Engineering, Stanford University
Conference: iclr 2018 (main track)
Keywords: adversarial training;distributionally robust optimization;deep learning;optimization;learning theory
Decision: Oral
Title: Progressive Growing of GANs for Improved Quality, Stability, and Variation
Authors: Tero Karras, Timo Aila, Samuli Laine, Jaakko Lehtinen
Affiliations: NVIDIA and Aalto University; NVIDIA
Conference: iclr 2018 (main track)
Keywords: generative adversarial networks;unsupervised learning;hierarchical methods
Decision: Oral
Title: On the Discrimination-Generalization Tradeoff in GANs
Authors: Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He
Affiliations: Microsoft Research, Redmond; Google; Computer Science, Lehigh University; Computer Science, Dartmouth College
Conference: iclr 2018 (main track)
Keywords: generative adversarial network;discrimination;generalization
Decision: Poster
Title: Learning Efficient Tensor Representations with Ring Structure Networks
Affiliations: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; SKOLTECH, Moscow, Russia & RIKEN BSI, Japan; RIKEN Center for Advanced Intelligence Project & Saitama Institute of Technology, Japan; RIKEN Center for Advanced Intelligence Project & The University of Tokyo, Tokyo, Japan
Conference: iclr 2018 (main track)
Keywords: Tensor Decomposition;Tensor Networks;Stochastic Gradient Descent
Decision: Workshop
Title: Wasserstein Auto-Encoders
Authors: Ilya Tolstikhin, Olivier Bousquet, Sylvain Gelly, Bernhard Schoelkopf
Affiliations: MPI for Intelligent Systems, Tübingen, Germany; Google Brain, Zürich, Switzerland
Conference: iclr 2018 (main track)
Keywords: auto-encoder;generative models;GAN;VAE;unsupervised learning
Decision: Oral
Title: Learning Latent Representations in Neural Networks for Clustering through Pseudo Supervision and Graph-based Activity Regularization
Authors: Ozsel Kilinc, Ismail Uysal
Affiliations: Electrical Engineering Department, University of South Florida, Tampa, FL 33620
Conference: iclr 2018 (main track)
Keywords: representation learning;unsupervised clustering;pseudo supervision;graph-based activity regularization;auto-clustering output layer
Decision: Poster
Title: Attacking Binarized Neural Networks
Authors: Angus Galloway, Graham W Taylor, Medhat Moussa
Affiliations: School of Engineering, University of Guelph, Canada; Canadian Institute for Advanced Research; Vector Institute for Artiﬁcial Intelligence, Canada; School of Engineering, University of Guelph, Canada
Conference: iclr 2018 (main track)
Keywords: adversarial examples;adversarial attacks;binary;binarized neural networks
Decision: Poster
Title: SEARNN: Training RNNs with global-local losses
Authors: Rémi Leblond, Jean-Baptiste Alayrac, Anton Osokin, Simon Lacoste-Julien
Affiliations: Université de Montréal & Montreal Institute for Learning Algorithms (MILA); Canadian Institute for Advanced Research (CIFAR); Département d’informatique de l’ENS, Paris, France; INRIA, École normale supérieure, CNRS, PSL Research University; National Research University Higher School of Economics, Moscow, Russia; Département d’informatique de l’ENS, Paris, France; INRIA, École normale supérieure, CNRS, PSL Research University
Conference: iclr 2018 (main track)
Keywords: Structured prediction;RNNs
Decision: Poster
Title: Towards Image Understanding from Deep Compression Without Decoding
Authors: Róbert Torfason, Fabian Mentzer, Eirikur Agustsson, Michael Tschannen, Radu Timofte, Luc Van Gool
Affiliations: ETH Zurich, KU Leuven; ETH Zurich, Merantix; ETH Zurich
Conference: iclr 2018 (main track)
Decision: Poster
Title: Spherical CNNs
Authors: Taco Cohen, Mario Geiger, Jonas Koehler, Max Welling
Affiliations: EPFL; University of Amsterdam & CIFAR; University of Amsterdam
Conference: iclr 2018 (main track)
Keywords: deep learning;equivariance;convolution;group convolution;3D;vision;omnidirectional;shape recognition;molecular energy regression
Decision: Oral
Title: Neural Sketch Learning for Conditional Program Generation
Authors: Vijayaraghavan Murali, Letao Qi, Swarat Chaudhuri, Chris Jermaine
Affiliations: Department of Computer Science, Rice University, Houston, TX 77005, USA.
Conference: iclr 2018 (main track)
Keywords: Program generation;Source code;Program synthesis;Deep generative models
Decision: Oral
Title: Learning how to explain neural networks: PatternNet and PatternAttribution
Authors: Pieter-Jan Kindermans, Kristof T Schütt, Maximilian Alber, Klaus R Muller, Dumitru Erhan, Been Kim, Sven Dähne
Affiliations: TU Berlin; Google Brain
Conference: iclr 2018 (main track)
Keywords: machine learning;interpretability;deep learning
Decision: Poster
Title: Combining Symbolic Expressions and Black-box Function Evaluations in Neural Programs
Authors: Forough Arabshahi, Sameer Singh, anima anandkumar
Affiliations: California Institute of Technology, Pasadena, CA; University of California, Irvine, CA
Conference: iclr 2018 (main track)
Keywords: symbolic reasoning;mathematical equations;recursive neural networks;neural programing
Decision: Poster
Title: Towards Neural Phrase-based Machine Translation
Authors: Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng
Affiliations: University of Illinois at Urbana-Champaign; Google; Microsoft Research; Citadel
Conference: iclr 2018 (main track)
Keywords: Neural Machine Translation;Sequence to Sequence;Sequence Modeling
Decision: Poster
Title: Learning Deep Mean Field Games for Modeling Large Population Behavior
Authors: Jiachen Yang, Xiaojing Ye, Rakshit Trivedi, huan xu, Hongyuan Zha
Affiliations: Georgia State University; Georgia Institute of Technology
Conference: iclr 2018 (main track)
Keywords: mean field games;reinforcement learning;Markov decision processes;inverse reinforcement learning;deep learning;inverse optimal control;computational social science;population modeling
Decision: Oral
Title: Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks
Authors: Víctor Campos, Brendan Jou, Xavier Giro-i-Nieto, Jordi Torres, Shih-Fu Chang
Affiliations: Universitat Polit `ecnica de Catalunya; Barcelona Supercomputing Center; Columbia University; Google Inc
Conference: iclr 2018 (main track)
Keywords: recurrent neural networks;dynamic learning;conditional computation
Decision: Poster
Title: Sparse Persistent RNNs: Squeezing Large Recurrent Networks On-Chip
Authors: Feiwen Zhu, Jeff Pool, Michael Andersch, Jeremy Appleyard, Fung Xie
Affiliations: NVIDIA
Conference: iclr 2018 (main track)
Keywords: Sparsity;Pruning;Compression;RNN;LSTM;Persistent;RF-Resident;GPU
Decision: Poster
Title: AmbientGAN: Generative models from lossy measurements
Authors: Ashish Bora, Eric Price, Alexandros Dimakis
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Electrical and Computer Engineering, University of Texas at Austin
Conference: iclr 2018 (main track)
Keywords: Generative models;Adversarial networks;Lossy measurements
Decision: Oral
Title: Variational Message Passing with Structured Inference Networks
Authors: Wu Lin, Nicolas Daniel Hubacher, Mohammad Emtiyaz Khan
Affiliations: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; University of British Columbia, Vancouver, Canada
Conference: iclr 2018 (main track)
Keywords: Variational Inference;Variational Message Passing;Variational Auto-Encoder;Graphical Models;Structured Models;Natural Gradients
Decision: Poster
Title: Cascade Adversarial Machine Learning Regularized with a Unified Embedding
Authors: Taesik Na, Jong Hwan Ko, Saibal Mukhopadhyay
Affiliations: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2018 (main track)
Keywords: adversarial machine learning;embedding;regularization;adversarial attack
Decision: Poster
Title: Multi-Mention Learning for Reading Comprehension with Neural Cascades
Authors: Swabha Swayamdipta, Ankur Parikh, Tom Kwiatkowski
Affiliations: Google Research, New York, NY 10011, USA; Language Technologies Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2018 (main track)
Keywords: reading comprehension;multi-loss;question answering;scalable;TriviaQA;feed-forward;latent variable;attention
Decision: Poster
Title: Parallelizing Linear Recurrent Neural Nets Over Sequence Length
Authors: Eric Martin, Christopher Cundy
Affiliations: Department of Computer Science, University of California, Berkeley, Berkeley, CA 94720, USA∗; eric@ericmart.in
Conference: iclr 2018 (main track)
Keywords: rnn;sequence;parallel;qrnn;sru;gilr;gilr-lstm
Decision: Poster
Title: Generating Wikipedia by Summarizing Long Sequences
Authors: Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer
Affiliations: Google Brain, Mountain View, CA
Conference: iclr 2018 (main track)
Keywords: abstractive summarization;Transformer;long sequences;natural language processing;sequence transduction;Wikipedia;extractive summarization
Decision: Poster
Title: TD or not TD: Analyzing the Role of Temporal Differencing in Deep Reinforcement Learning
Authors: Artemij Amiranashvili, Alexey Dosovitskiy, Vladlen Koltun, Thomas Brox
Affiliations: University of Freiburg; Intel Labs
Conference: iclr 2018 (main track)
Keywords: deep learning;reinforcement learning;temporal difference
Decision: Poster
Title: Activation Maximization Generative Adversarial Nets
Authors: Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu
Affiliations: Yitu Tech; Shanghai Jiao Tong University; University College London
Conference: iclr 2018 (main track)
Keywords: Generative Adversarial Nets;GANs;Evaluation Metrics;Generative Model;Deep Learning;Adversarial Learning;Inception Score;AM Score
Decision: Poster
Title: Spatially Transformed Adversarial Examples
Authors: Chaowei Xiao, Jun-Yan Zhu, Bo Li, Warren He, Mingyan Liu, Dawn Song
Affiliations: University of California, Berkeley, USA; Massachusetts Institute of Technology, MA, USA; University of Michigan, Ann Arbor, USA
Conference: iclr 2018 (main track)
Keywords: adversarial examples;spatial transformation
Decision: Poster
Title: Alternating Multi-bit Quantization for Recurrent Neural Networks
Authors: Chen Xu, Jianqiang Yao, Zhouchen Lin, Baigui Sun, Yuanbin Cao, Zhirong Wang, Hongbin Zha
Affiliations: Search Algorithm Team, Alibaba Group, China; AI-LAB, Alibaba Group, China; Key Laboratory of Machine Perception (MOE), School of EECS, Peking University, China
Conference: iclr 2018 (main track)
Keywords: Alternating Minimization;Quantized Recurrent Neural Network;Binary Search Tree
Decision: Poster
Title: Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
Authors: Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang.
Affiliations: Google
Conference: iclr 2018 (main track)
Keywords: machine translation;paraphrasing;question answering;reinforcement learning;agents
Decision: Oral
Title: Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
Authors: Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I Chuang, Jae-Joon Kim
Affiliations: IBM Thomas J. Watson Research Center, USA; POSTECH, Department of Creative IT Engineering, Korea
Conference: iclr 2018 (main track)
Keywords: pruning;sparse matrix;memory footprint;model size;model compression
Decision: Poster
Title: Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Authors: Alexandre Péré, Sébastien Forestier, Olivier Sigaud, Pierre-Yves Oudeyer
Affiliations: Flowers Team, Inria and Ensta-ParisTech, France; Flowers Team, Inria, Ensta-ParisTech and UPMC, France
Conference: iclr 2018 (main track)
Keywords: exploration; autonomous goal setting; diversity; unsupervised learning; deep neural network
Decision: Poster
Title: Boosting Dilated Convolutional Networks with Mixed Tensor Decompositions
Authors: Nadav Cohen, Ronen Tamari, Amnon Shashua
Affiliations: Institute for Advanced Study; The Hebrew University of Jerusalem
Conference: iclr 2018 (main track)
Keywords: Deep Learning;Expressive Efficiency;Dilated Convolutions;Tensor Decompositions
Decision: Oral
Title: Expressive power of recurrent neural networks
Authors: Valentin Khrulkov, Alexander Novikov, Ivan Oseledets
Affiliations: Skolkovo Institute of Science and Technology, Institute of Numerical Mathematics RAS; Skolkovo Institute of Science and Technology; National Research University Higher School of Economics, Institute of Numerical Mathematics RAS
Conference: iclr 2018 (main track)
Keywords: Recurrent Neural Networks;Tensor Train;tensor decompositions;expressive power
Decision: Poster
Title: WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling
Authors: Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou
Affiliations: National Laboratory of Radar Signal Processing, Collaborative Innovation Center of Information Sensing and Understanding, Xidian University, Xi'an, China.; McCombs School of Business, The University of Texas at Austin, Austin, TX 78712, USA.
Conference: iclr 2018 (main track)
Decision: Poster
Title: Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
Authors: Chris Donahue, Zachary Lipton, Akshay Balsubramani, Julian McAuley
Affiliations: Department of Computer Science, University of California, San Diego; Department of Music, University of California, San Diego; Department of Genetics, Stanford University; Carnegie Mellon University, Amazon AI
Conference: iclr 2018 (main track)
Keywords: disentangled representations;generative adversarial networks;generative modeling;image synthesis
Decision: Poster
Title: FearNet: Brain-Inspired Model for Incremental Learning
Authors: Ronald Kemker, Christopher Kanan
Affiliations: Carlson Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA
Conference: iclr 2018 (main track)
Keywords: Incremental Learning;Lifelong Learning;Supervised Learning;Catastrophic Forgetting;Brain-Inspired;Neural Networks
Decision: Poster
Title: Sobolev GAN
Authors: Youssef Mroueh, Chun-Liang Li, Tom Sercu, Anant Raj, Yu Cheng
Affiliations: Max Planck Institute for Intelligent Systems; Carnegie Mellon University; IBM Research AI
Conference: iclr 2018 (main track)
Keywords: GAN theory;Integral Probability Metrics;elliptic PDE and diffusion;GAN for discrete sequences;semi-supervised learning.
Decision: Poster
Title: Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Authors: Tianmin Shu, Caiming Xiong, richard socher
Affiliations: University of California, Los Angeles; Salesforce Research
Conference: iclr 2018 (main track)
Keywords: Hierarchical Policy;Interpretable Policy;Deep Reinforcement Learning;Multi-task Reinforcement Learning;Skill Acquisition;Language Grounding
Decision: Poster
Title: Model-Ensemble Trust-Region Policy Optimization
Authors: Thanard Kurutach, Ignasi Clavera, Yan Duan, Aviv Tamar, Pieter Abbeel
Affiliations: Berkeley AI Research, University of California, Berkeley, Berkeley, CA 94709
Conference: iclr 2018 (main track)
Keywords: model-based reinforcement learning;model ensemble;reinforcement learning;model bias
Decision: Poster
Title: Training GANs with Optimism
Authors: Constantinos C Daskalakis, Andrew Ilyas, Vasilis Syrgkanis, Haoyang Zeng
Affiliations: MIT, EECS; Microsoft Research
Conference: iclr 2018 (main track)
Keywords: GANs;Optimistic Mirror Decent;Cycling;Last Iterate Convergence;Optimistic Adam
Decision: Poster
Title: Quantitatively Evaluating GANs With Divergences Proposed for Training
Authors: Daniel Im, He Ma, Graham W Taylor, Kristin Branson
Affiliations: Janelia Research Campus, HHMI, AIFounded Inc.; Janelia Research Campus, HHMI; University of Guelph, Vector Institute
Conference: iclr 2018 (main track)
Keywords: Generative adversarial networks
Decision: Poster
Title: Residual Connections Encourage Iterative Inference
Authors: Stanislaw Jastrzebski, Devansh Arpit, Nicolas Ballas, Vikas Verma, Tong Che, Yoshua Bengio
Affiliations: Facebook, Montreal, Canada; MILA, Université de Montréal, Canada; Aalto University, Finland; MILA, Université de Montréal, Canada & CIFAR Senior Fellow; Jagiellonian University, Cracow, Poland
Conference: iclr 2018 (main track)
Keywords: residual network;iterative inference;deep learning
Decision: Poster
Title: Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
Authors: Yaguang Li, Rose Yu, Cyrus Shahabi, Yan Liu
Affiliations: California Institute of Technology; University of Southern California
Conference: iclr 2018 (main track)
Keywords: Traffic prediction;spatiotemporal forecasting;diffusion;graph convolution;random walk;long-term forecasting
Decision: Poster
Title: Improving the Improved Training of Wasserstein GANs: A Consistency Term and Its Dual Effect
Authors: Xiang Wei, Boqing Gong, Zixia Liu, Wei Lu, Liqiang Wang
Affiliations: Tencent AI Lab, Bellevue, WA, USA 98004; Department of Computer Science, University of Central Florida, Orlando, FL, USA 32816; School of Software Engineering, Beijing Jiaotong University, Beijing, China 100044
Conference: iclr 2018 (main track)
Keywords: GAN;WGAN
Decision: Poster
Title: Learning Wasserstein Embeddings
Authors: Nicolas Courty, Rémi Flamary, Mélanie Ducoffe
Affiliations: Université Côte d’Azur, OCA, Lagrange, UMR 7293, CNRS; Université de Bretagne Sud, IRISA, UMR 6074, CNRS; Université Côte d’Azur, I3S, UMR 7271, CNRS
Conference: iclr 2018 (main track)
Keywords: Wasserstein distance;metric embedding;Siamese architecture
Decision: Poster
Title: Fraternal Dropout
Authors: Konrad Zolna, Devansh Arpit, Dendi Suhubdy, Yoshua Bengio
Affiliations: MILA, Université de Montréal; Jagiellonian University; MILA, Université de Montréal, CIFAR Senior Fellow
Conference: iclr 2018 (main track)
Keywords: fraternal dropout;activity regularization;recurrent neural networks;RNN;LSTM;faster convergence
Decision: Poster
Title: Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Authors: Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
Affiliations: UC Berkeley; CMU; OpenAI; UMass Amherst
Conference: iclr 2018 (main track)
Keywords: reinforcement learning;nonstationarity;meta-learning;transfer learning;multi-agent
Decision: Oral
Title: Lifelong Learning with Dynamically Expandable Networks
Authors: Jaehong Yoon, Eunho Yang, Jeongtae Lee, Sung Ju Hwang
Affiliations: KAIST, Daejeon, South Korea; KAIST, Daejeon, South Korea; AITrics, Seoul, South Korea; UNIST, Ulsan, South Korea
Conference: iclr 2018 (main track)
Keywords: Transfer learning;Lifelong learning;Selective retraining;Dynamic network expansion
Decision: Poster
Title: Mitigating Adversarial Effects Through Randomization
Authors: Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille
Affiliations: Baidu Research USA, Sunnyvale, CA 94089 USA; Snap Inc., Venice, CA 90291 USA; Department of Computer Science, The Johns Hopkins University, Baltimore, MD 21218 USA
Conference: iclr 2018 (main track)
Keywords: adversarial examples
Decision: Poster
Title: Memory Architectures in Recurrent Neural Network Language Models
Authors: Dani Yogatama, yishu miao, Gábor Melis, Wang Ling, Adhiguna Kuncoro, Chris Dyer, Phil Blunsom
Affiliations: University of Oxford; DeepMind; DeepMind and University of Oxford
Conference: iclr 2018 (main track)
Decision: Poster
Title: Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play
Authors: Sainbayar Sukhbaatar, Zeming Lin, Ilya Kostrikov, Gabriel Synnaeve, Arthur Szlam, Rob Fergus
Affiliations: Dept. of Computer Science, New York University; Facebook AI Research, New York
Conference: iclr 2018 (main track)
Keywords: self-play;automatic curriculum;intrinsic motivation;unsupervised learning;reinforcement learning
Decision: Poster
Title: Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields
Authors: Thomas Unterthiner
Affiliations: Zalando Research, Mühlenstraße 25, 10243 Berlin, Germany; LIT AI Lab & Institute of Bioinformatics, Johannes Kepler University Linz, Austria
Conference: iclr 2018 (main track)
Keywords: Deep Learning;Generative Adversarial Network;GAN;Generative Model;Potential Field
Decision: Poster
Title: Temporal Difference Models: Model-Free Deep RL for Model-Based Control
Authors: Vitchyr Pong, Shixiang Gu, Murtaza Dalal, Sergey Levine
Affiliations: University of Cambridge, Max Planck Institute, Google Brain; University of California, Berkeley
Conference: iclr 2018 (main track)
Keywords: model-based reinforcement learning;model-free reinforcement learning;temporal difference learning;predictive learning;predictive models;optimal control;off-policy reinforcement learning;deep learning;deep reinforcement learning;q learning
Decision: Poster
Title: A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
Authors: Behnam Neyshabur, Srinadh Bhojanapalli, Nathan Srebro
Affiliations: Toyota Technological Institute at Chicago
Conference: iclr 2018 (main track)
Keywords: Neural Networks;Generalization;PAC-Bayes;Sharpness
Decision: Poster
Title: Neural Speed Reading via Skim-RNN
Authors: Minjoon Seo, Sewon Min, Ali Farhadi, Hannaneh Hajishirzi
Affiliations: University of Washington; Seoul National University; Clova AI Research, University of Washington; University of Washington, Allen Institute for Artiﬁcial Intelligence, XNOR.AI
Conference: iclr 2018 (main track)
Keywords: Natural Language Processing;RNN;Inference Speed
Decision: Poster