hunoutl/paperlists huggingface dataset:
Title: Deep Active Learning for Named Entity Recognition
Authors: Yanyao Shen, Hyokun Yun, Zachary Lipton, Yakov Kronrod, anima anandkumar
Affiliations: Amazon Web Services, Seattle, WA 98101; UT Austin, Austin, TX 78712
Conference: iclr 2018 (main track)
Keywords: active learning;deep learning;named entity recognition
Decision: Poster
Title: DORA The Explorer: Directed Outreaching Reinforcement Action-Selection
Authors: Lior Fox, Leshem Choshen, Yonatan Loewenstein
Affiliations: The Edmond and Lily Safra Center for Brain Sciences, Departments of Neurobiology and Cognitive Sciences and the Federmann Center for the Study of Rationality, The Hebrew University of Jerusalem; The Edmond and Lily Safra Center for Brain Sciences, The Hebrew University of Jerusalem; School of Computer Science and Engineering and Department of Cognitive Sciences, The Hebrew University of Jerusalem
Conference: iclr 2018 (main track)
Keywords: Reinforcement Learning;Exploration;Model-Free
Decision: Poster
Title: Hierarchical Subtask Discovery with Non-Negative Matrix Factorization
Authors: Adam Earle, Andrew Saxe, Benjamin Rosman
Affiliations: Council for Scientiﬁc and Industrial Research, Pretoria, South Africa, and Department of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa; Center for Brain Science, Harvard University, MA, USA; Department of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
Conference: iclr 2018 (main track)
Keywords: Reinforcement Learning;Hierarchy;Subtask Discovery;Linear Markov Decision Process
Decision: Poster
Title: Routing Networks: Adaptive Selection of Non-Linear Functions for Multi-Task Learning
Authors: Clemens Rosenbaum, Tim Klinger, Matt Riemer
Affiliations: College of Information and Computer Sciences, University of Massachusetts Amherst; IBM Research AI
Conference: iclr 2018 (main track)
Keywords: multi-task;transfer;routing;marl;multi-agent;reinforcement;self-organizing
Decision: Poster
Title: DLVM: A modern compiler infrastructure for deep learning systems
Authors: Richard Wei, Lane Schwartz, and Vikram Adve
Affiliations: Departments of Computer Science & Linguistics, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Department of Linguistics, University of Illinois at Urbana-Champaign, Urbana, IL 61801; Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801
Conference: iclr 2018 (main track)
Keywords: deep learning;automatic differentiation;algorithmic differentiation;domain specific languages;neural networks;programming languages;DSLs
Decision: Workshop
Title: Multi-View Data Generation Without View Supervision
Authors: Mickael Chen, Ludovic Denoyer, thierry artieres
Affiliations: Aix Marseille Univ, Université de Toulon, CNRS, LIS, Marseille, France; Ecole Centrale Marseille; Sorbonne Université, CNRS, Laboratoire d’Informatique de Paris 6, LIP6, F-75005, Paris, France; Criteo Research; Sorbonne Université, CNRS, Laboratoire d’Informatique de Paris 6, LIP6, F-75005, Paris, France
Conference: iclr 2018 (main track)
Keywords: multi-view;adversarial learning;generative model
Decision: Poster
Title: Neural-Guided Deductive Search for Real-Time Program Synthesis from Examples
Authors: Ashwin Vijayakumar, Abhishek Mohta, Alex Polozov, Dhruv Batra, Prateek Jain, Sumit Gulwani
Affiliations: Microsoft Research Redmond, Redmond, WA 98052, USA; Microsoft Research India, Bengaluru, Karnataka 560001, India; School of Interactive Computing, Georgia Tech, Atlanta, GA 30308, USA
Conference: iclr 2018 (main track)
Keywords: Program synthesis;deductive search;deep learning;program induction;recurrent neural networks
Decision: Poster
Title: Noisy Networks For Exploration
Authors: Meire Fortunato, Mohammad Gheshlaghi  Azar, Bilal Piot, Jacob Menick, Matteo Hessel, Ian Osband, Alex Graves, Volodymyr Mnih, Remi Munos, Demis Hassabis, Olivier Pietquin, Charles Blundell, Shane Legg
Affiliations: DeepMind
Conference: iclr 2018 (main track)
Keywords: Deep Reinforcement Learning;Exploration;Neural Networks
Decision: Poster
Title: Convolutional Neural Networks on Non-uniform Geometrical Signals Using Euclidean Spectral Transformation
Authors: Chiyu Jiang, Dequan Wang, Jingwei Huang, Philip Marcus, Matthias Niessner
Affiliations: Stanford University; Technical University of Munich; UC Berkeley
Conference: iclr 2019 (main track)
Keywords: Non-uniform Fourier Transform;3D Learning;CNN;surface reconstruction
Decision: Poster
Title: Variance Networks: When Expectation Does Not Meet Your Expectations
Authors: Kirill Neklyudov, Dmitry Molchanov, Arsenii Ashukha, Dmitry P. Vetrov
Affiliations: Samsung-HSE Laboratory, National Research University Higher School of Economics, Samsung AI Center Moscow; Samsung AI Center Moscow
Conference: iclr 2019 (main track)
Keywords: deep learning;variational inference;variational dropout
Decision: Poster
Title: Explaining Image Classifiers by Counterfactual Generation
Authors: Chun-Hao Chang, Elliot Creager, Anna Goldenberg, David Duvenaud
Affiliations: University of Toronto, Vector Institute
Conference: iclr 2019 (main track)
Keywords: Explainability;Interpretability;Generative Models;Saliency Map;Machine Learning;Deep Learning
Decision: Poster
Title: Automatically Composing Representation Transformations as a Means for Generalization
Authors: Michael Chang, Abhishek Gupta, Sergey Levine, Thomas L Griffiths
Affiliations: Electrical Engineering and Computer Science, University of California, Berkeley, USA; Electrical Engineering and Computer Science, University of California, Berkeley; Psychology and Cognitive Science, Princeton University, USA
Conference: iclr 2019 (main track)
Keywords: compositionality;deep learning;metareasoning
Decision: Poster
Title: Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes
Authors: Roman Novak, Lechao Xiao, Jaehoon Lee, Yasaman Bahri, Greg Yang, Daniel A. Abolafia, Jeffrey Pennington, Jascha Sohl-Dickstein
Affiliations: Department of Engineering, University of Cambridge; Microsoft Research AI; Google Brain
Conference: iclr 2019 (main track)
Keywords: Deep Convolutional Neural Networks;Gaussian Processes;Bayesian
Decision: Poster
Title: Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference
Authors: Matt Riemer, Juan Ignacio Cases Martin, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
Affiliations: Linguistics and Computer Science Departments, Stanford NLP Group, Stanford University; IBM Research, Yorktown Heights, NY; Department of Brain and Cognitive Sciences, MIT
Conference: iclr 2019 (main track)
Decision: Poster
Title: Deterministic Variational Inference for Robust Bayesian Neural Networks
Authors: Anqi Wu, Sebastian Nowozin, Ted Meeds, Richard E Turner, José Miguel Hernández Lobato, Alexander Gaunt
Affiliations: Google AI Berlin; Department of Engineering, University of Cambridge; Microsoft Research, Cambridge; Princeton Neuroscience Institute, Princeton University
Conference: iclr 2019 (main track)
Keywords: Bayesian neural network;variational inference;variational bayes;variance reduction;empirical bayes
Decision: Oral
Title: Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks
Authors: Yikang Shen, Shawn Tan, Alessandro Sordoni, Aaron Courville
Affiliations: Mila/Université de Montréal, Montréal, Canada; Microsoft Research, Montréal, Canada; Mila/Université de Montréal and Microsoft Research, Montréal, Canada
Conference: iclr 2019 (main track)
Keywords: Deep Learning;Natural Language Processing;Recurrent Neural Networks;Language Modeling
Decision: Oral
Title: Eidetic 3D LSTM: A Model for Video Prediction and Beyond
Authors: Yunbo Wang, Lu Jiang, Ming-Hsuan Yang, Li-Jia Li, Mingsheng Long, Li Fei-Fei
Affiliations: Google AI; University of California, Merced; Stanford University; Tsinghua University
Conference: iclr 2019 (main track)
Decision: Poster
Title: ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA
Authors: Jialin Liu, Xiaohan Chen, Zhangyang Wang, Wotao Yin
Affiliations: Department of Computer Science and Engineering, Texas A&M University; Department of Mathematics, University of California, Los Angeles
Conference: iclr 2019 (main track)
Keywords: sparse recovery;neural networks
Decision: Poster
Title: On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
Authors: Nan Lu, Gang Niu, Aditya Krishna Menon, Masashi Sugiyama
Affiliations: RIKEN, Tokyo 103-0027, Japan; The University of Tokyo, Tokyo 113-0033, Japan; Google, New York, NY 10018, USA
Conference: iclr 2019 (main track)
Keywords: learning from only unlabeled data;empirical risk minimization;unbiased risk estimator
Decision: Poster
Title: Neural Logic Machines
Authors: Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Dengyong Zhou
Affiliations: ITCS, IIIS, Tsinghua University; ByteDance Inc.; Google Inc.
Conference: iclr 2019 (main track)
Keywords: Neuro-Symbolic Computation;Logic Induction
Decision: Poster
Title: Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures
Authors: Jonathan Uesato, Ananya Kumar, Csaba Szepesvari, Tom Erez, Avraham Ruderman, Keith Anderson, Krishnamurthy Dvijotham, Nicolas Heess, Pushmeet Kohli
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: agent evaluation;adversarial examples;robustness;safety;reinforcement learning
Decision: Poster
Title: Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Authors: Lars Buesing, Theophane Weber, Yori Zwols, Nicolas Heess, Sebastien Racaniere, Arthur Guez, Jean-Baptiste Lespiau
Affiliations: DeepMind
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;generative models;model-based reinforcement learning;causal inference
Decision: Poster
Title: Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees
Authors: Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma
Affiliations: Stanford University; Princeton University; University of California, Berkeley; Facebook AI Research
Conference: iclr 2019 (main track)
Keywords: model-based reinforcement learning;sample efficiency;deep reinforcement learning
Decision: Poster
Title: Directed-Info GAIL: Learning Hierarchical Policies from Unsegmented Demonstrations using Directed Information
Authors: Mohit Sharma, Arjun Sharma, Nicholas Rhinehart, Kris M Kitani
Affiliations: Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2019 (main track)
Keywords: Imitation Learning;Reinforcement Learning;Deep Learning
Decision: Poster
Title: Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability
Authors: Kai Xiao, Vincent Tjeng, Nur Muhammad Shafiullah, Aleksander Madry
Affiliations: Massachusetts Institute of Technology
Conference: iclr 2019 (main track)
Keywords: verification;adversarial robustness;adversarial examples;stability;deep learning;regularization
Decision: Poster
Title: Learning to Learn with Conditional Class Dependencies
Authors: Xiang Jiang, Seyed Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin
Affiliations: Imagia Inc.; Dalhousie University
Conference: iclr 2019 (main track)
Keywords: meta-learning;learning to learn;few-shot learning
Decision: Poster
Title: Hierarchical Visuomotor Control of Humanoids
Authors: Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, SIQI LIU, Dhruva Tirumala, Nicolas Heess, Greg Wayne
Conference: iclr 2019 (main track)
Keywords: hierarchical reinforcement learning;motor control;motion capture
Decision: Poster
Title: Unsupervised Adversarial Image Reconstruction
Authors: Arthur Pajot, Emmanuel de Bézenac, patrick Gallinari
Affiliations: Sorbonne Universités, UMR 7606, LIP6, F-75005 Paris, France; Criteo AI Lab, Paris, France
Conference: iclr 2019 (main track)
Keywords: Deep Learning;Adversarial;MAP;GAN;neural networks
Decision: Poster
Title: Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Authors: Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang
Affiliations: The Center on Frontiers of Computing Studies, Peking University; School of Electronics Engineering and Computer Science, Peking University; Nat’l Eng. Lab. for Video Technology, Computer Science Dept., Peking University, Cooperative Medianet Innovation Center, PengCheng Lab, Deepwise AI Lab
Conference: iclr 2019 (main track)
Keywords: crowdsourcing;information theory
Decision: Poster
Title: Learning what and where to attend
Authors: Drew Linsley, Dan Shiebler, Sven Eberhardt, Thomas Serre
Affiliations: Department of Cognitive Linguistic & Psychological Sciences, Carney Institute for Brain Science, Brown University, Providence, RI 02912
Conference: iclr 2019 (main track)
Keywords: Attention models;human feature importance;object recognition;cognitive science
Decision: Poster
Title: ROBUST ESTIMATION VIA GENERATIVE ADVERSARIAL NETWORKS
Authors: Chao Gao, Jiyi Liu, Yuan Yao, Weizhi ZHU
Affiliations: Department of Statistics and Data Science, Yale University, New Haven, CT 06511 USA; Department of Statistics, University of Chicago, Chicago, IL 60637 USA; Department of Mathematics, Hong Kong University of Science and Technology, Kowloon, Hong Kong
Conference: iclr 2019 (main track)
Keywords: robust statistics;neural networks;minimax rate;data depth;contamination model;Tukey median;GAN
Decision: Poster
Title: INVASE: Instance-wise Variable Selection using Neural Networks
Authors: Jinsung Yoon, James Jordon, Mihaela Schaar
Affiliations: University of Cambridge, UK; Department of Electrical and Computer Engineering, UCLA, California, USA; Alan Turing Institute, London, UK; Department of Electrical and Computer Engineering, UCLA, California, USA; Engineering Science Department, University of Oxford, UK
Conference: iclr 2019 (main track)
Keywords: Instance-wise feature selection;interpretability;actor-critic methodology
Decision: Poster
Title: Meta-Learning with Latent Embedding Optimization
Authors: Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, Raia Hadsell
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: meta-learning;few-shot;miniImageNet;tieredImageNet;hypernetworks;generative;latent embedding;optimization
Decision: Poster
Title: Non-vacuous Generalization Bounds at the ImageNet Scale: a PAC-Bayesian Compression Approach
Authors: Wenda Zhou, Victor Veitch, Morgane Austern, Ryan P Adams, Peter Orbanz
Affiliations: Princeton University, Princeton, NJ; Columbia University, New York, NY
Conference: iclr 2019 (main track)
Keywords: generalization;deep-learning;pac-bayes
Decision: Poster
Title: Learning to Represent Edits
Authors: Pengcheng Yin, Graham Neubig, Miltiadis Allamanis, Marc Brockschmidt, Alexander Gaunt
Affiliations: Language Technology Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA; Microsoft Research, Cambridge, CB1 2FB, United Kingdom
Conference: iclr 2019 (main track)
Keywords: Representation Learning;Source Code;Natural Language;edit
Decision: Poster
Title: Neural Probabilistic Motor Primitives for Humanoid Control
Authors: Josh Merel, Leonard Hasenclever, Alexandre Galashov, Arun Ahuja, Vu Pham, Greg Wayne, Yee Whye Teh, Nicolas Heess
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: Motor Primitives;Distillation;Reinforcement Learning;Continuous Control;Humanoid Control;Motion Capture;One-Shot Imitation
Decision: Poster
Title: Differentiable Perturb-and-Parse: Semi-Supervised Parsing with a Structured Variational Autoencoder
Authors: Caio Corro, Ivan Titov
Affiliations: ILLC, University of Amsterdam; ILCC, School of Informatics, University of Edinburgh
Conference: iclr 2019 (main track)
Keywords: differentiable dynamic programming;variational auto-encoder;dependency parsing;semi-supervised learning
Decision: Poster
Title: Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs
Authors: Ryan L Murphy, Balasubramaniam Srinivasan, Vinayak Rao, Bruno Ribeiro
Affiliations: Department of Computer Science, Purdue University; Department of Statistics, Purdue University
Conference: iclr 2019 (main track)
Keywords: representation learning;permutation invariance;set functions;feature pooling
Decision: Poster
Title: An Empirical Study of Example Forgetting during Deep Neural Network Learning
Authors: Mariya Toneva, Alessandro Sordoni, Remi Combes, Adam Trischler, Yoshua Bengio, Geoffrey Gordon
Affiliations: Microsoft Research Montreal; MILA, Université de Montréal CIFAR Senior Fellow; Carnegie Mellon University; Microsoft Research Montreal Carnegie Mellon University
Conference: iclr 2019 (main track)
Keywords: catastrophic forgetting;sample weighting;deep generalization
Decision: Poster
Title: RNNs implicitly implement tensor-product representations
Authors: Tom McCoy, Tal Linzen, Ewan Dunbar, Paul Smolensky
Affiliations: Laboratoire de Linguistique Formelle, CNRS - Université Paris Diderot - Sorbonne Paris Cité; Microsoft Research AI, Redmond, WA USA; Department of Cognitive Science, Johns Hopkins University
Conference: iclr 2019 (main track)
Keywords: tensor-product representations;compositionality;neural network interpretability;recurrent neural networks
Decision: Poster
Title: Learning To Solve Circuit-SAT: An Unsupervised Differentiable Approach
Authors: Saeed Amizadeh, Sergiy Matusevych, Markus Weimer
Affiliations: Microsoft, Redmond, WA 98052
Conference: iclr 2019 (main track)
Keywords: Neuro-Symbolic Methods;Circuit Satisfiability;Neural SAT Solver;Graph Neural Networks
Decision: Poster
Title: Dynamic Channel Pruning: Feature Boosting and Suppression
Authors: Xitong Gao, Yiren Zhao, Łukasz Dudziak, Robert Mullins, Cheng-zhong Xu
Affiliations: Shenzhen Institutes of Advanced Technology, Shenzhen, China; University of Macau, Macau, China; University of Cambridge, Cambridge, UK
Conference: iclr 2019 (main track)
Keywords: dynamic network;faster CNNs;channel pruning
Decision: Poster
Title: signSGD with Majority Vote is Communication Efficient and Fault Tolerant
Authors: Jeremy Bernstein, Jiawei Zhao, Kamyar Azizzadenesheli, Anima Anandkumar
Affiliations: UC Irvine; Caltech; Nanjing University of Aeronautics and Astronautics
Conference: iclr 2019 (main track)
Keywords: large-scale learning;distributed systems;communication efficiency;convergence rate analysis;robust optimisation
Decision: Poster
Title: Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces
Authors: Senthil Purushwalkam, Abhinav Gupta, Danny Kaufman, Bryan Russell
Affiliations: Robotics Institute, Carnegie Mellon University; Adobe Research
Conference: iclr 2019 (main track)
Keywords: intuitive physics;visual prediction;surface normal;restitution;bounces
Decision: Poster
Title: K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning
Authors: Pramod Kaushik Mudrakarta, Mark Sandler, Andrey Zhmoginov, Andrew Howard
Affiliations: The University of Chicago; Google Inc.
Conference: iclr 2019 (main track)
Keywords: deep learning;mobile;transfer learning;multi-task learning;computer vision;small models;imagenet;inception;batch normalization
Decision: Poster
Title: Towards Metamerism via Foveated Style Transfer
Authors: Arturo Deza, Aditya Jonnalagadda, Miguel Eckstein
Affiliations: Dynamical Neuroscience, Institute for Collaborative Biotechnologies, UC Santa Barbara, CA, USA; Psychological and Brain Sciences, Institute for Collaborative Biotechnologies, UC Santa Barbara, CA, USA; Electric and Computer Engineering, UC Santa Barbara, CA, USA
Conference: iclr 2019 (main track)
Keywords: Metamerism;foveation;perception;style transfer;psychophysics
Decision: Poster
Title: Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator
Authors: Makoto Yamada, Yi Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
Affiliations: University of Tokyo; University of Toronto, Vector Institute; Nagoya Institute of Technology; Institute of Statistical Mathematics; Carnegie Mellon University; Kyoto University, RIKEN AIP, JST PRESTO, Institute of Statistical Mathematics
Conference: iclr 2019 (main track)
Keywords: Maximum Mean Discrepancy;Selective Inference;Feature Selection;GAN
Decision: Poster
Title: Generative Code Modeling with Graphs
Authors: Marc Brockschmidt, Miltiadis Allamanis, Alexander Gaunt, Oleksandr Polozov
Affiliations: Microsoft Research, Redmond, WA, USA; Microsoft Research, Cambridge, UK
Conference: iclr 2019 (main track)
Keywords: Generative Model;Source Code;Graph Learning
Decision: Poster
Title: Critical Learning Periods in Deep Networks
Authors: Alessandro Achille, Matteo Rovere, Stefano Soatto
Affiliations: Ann Romney Center for Neurologic Diseases, Brigham and Women’s Hospital and Harvard Medical School; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2019 (main track)
Keywords: Critical Period;Deep Learning;Information Theory;Artificial Neuroscience;Information Plasticity
Decision: Poster
Title: CEM-RL: Combining evolutionary and gradient-based methods for policy search
Authors: Aloïs Pourchot, Olivier Sigaud
Affiliations: Sorbonne Universit ´e, CNRS UMR 7222 Institut des Syst `emes Intelligents et de Robotique, F-75005 Paris, France; Gleamer, 96bis Boulevard Raspail, 75006 Paris, France
Conference: iclr 2019 (main track)
Keywords: evolution strategy;deep reinforcement learning
Decision: Poster
Title: LanczosNet: Multi-Scale Deep Graph Convolutional Networks
Authors: Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard Zemel
Affiliations: University of Toronto, Uber ATG Toronto, Vector Institute; University of Illinois at Urbana-Champaign; University of Toronto, Vector Institute, Canadian Institute for Advanced Research
Conference: iclr 2019 (main track)
Keywords: Lanczos Network;Graph Neural Networks;Deep Graph Convolutional Networks;Deep Learning on Graph Structured Data;QM8 Quantum Chemistry Benchmark
Decision: Poster
Title: Excessive Invariance Causes Adversarial Vulnerability
Authors: Joern-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge
Affiliations: University of T ¨ubingen; University of Bremen, Center for Industrial Mathematics; Vector Institute and University of Toronto
Conference: iclr 2019 (main track)
Keywords: Generalization;Adversarial Examples;Invariance;Information Theory;Invertible Networks
Decision: Poster
Title: Hindsight policy gradients
Authors: Paulo Rauber, Avinash Ummadisingu, Filipe Mutz, Jürgen Schmidhuber
Affiliations: IDSIA, USI, SUPSI, Lugano, Switzerland; IFES, UFES, Serra, Brazil; USI, Lugano, Switzerland; IDSIA, USI, SUPSI, NNAISENSE, Lugano, Switzerland
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;policy gradients;multi-goal reinforcement learning
Decision: Poster
Title: Adaptive Gradient Methods with Dynamic Bound of Learning Rate
Authors: Liangchen Luo, Yuanhao Xiong, Yan Liu, Xu Sun
Affiliations: College of Information Science and Electronic Engineering, Zhejiang University; Department of Computer Science, University of Southern California; Center for Data Science, Beijing Institute of Big Data Research, Peking University; MOE Key Lab of Computational Linguistics, School of EECS, Peking University
Conference: iclr 2019 (main track)
Keywords: Optimization;SGD;Adam;Generalization
Decision: Poster
Title: Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Authors: Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras
Affiliations: Institute for Infocomm Research, A*STAR, 1 Fusionopolis Way, #21-01 Connexis (South Tower), Singapore; Singapore University of Technology and Design, 8 Somapah Road, Singapore; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG, 38000 Grenoble, France
Conference: iclr 2019 (main track)
Keywords: Mirror descent;extra-gradient;generative adversarial networks;saddle-point problems
Decision: Poster