hunoutl/paperlists huggingface dataset:
Title: Learning a SAT Solver from Single-Bit Supervision
Authors: Daniel Selsam, Matthew Lamm, Benedikt B\"{u}nz, Percy Liang, Leonardo Moura, David L Dill
Affiliations: Microsoft Research, Redmond, WA 98052; Department of Computer Science, Stanford University, Stanford, CA 94305
Conference: iclr 2019 (main track)
Keywords: sat;search;graph neural network;theorem proving;proof
Decision: Poster
Title: Big-Little Net: An Efficient Multi-Scale Feature Representation for Visual and Speech Recognition
Authors: Chun-Fu (Richard) Chen, Quanfu Fan, Neil Mallinar, Tom Sercu, Rogerio Feris
Affiliations: IBM T.J. Watson Research Center, Yorktown Heights, NY 10598
Conference: iclr 2019 (main track)
Keywords: CNN;multi-scale;efficiency;object recognition;speech recognition
Decision: Poster
Title: Visual Semantic Navigation using Scene Priors
Authors: Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, Roozbeh Mottaghi
Affiliations: University of Washington; Carnegie Mellon University; Allen Institute for AI; The Chinese University of Hong Kong
Conference: iclr 2019 (main track)
Keywords: Visual Navigation;Scene Prior;Knowledge Graph;Graph Convolution Networks;Deep Reinforcement Learning
Decision: Poster
Title: NOODL: Provable Online Dictionary Learning and Sparse Coding
Authors: Sirisha Rambhatla, Xingguo Li, Jarvis Haupt
Affiliations: Dept. of Computer Science, Princeton University, Princeton, NJ, USA; Dept. of Electrical and Computer Engineering, University of Minnesota – Twin Cities, USA
Conference: iclr 2019 (main track)
Keywords: dictionary learning;provable dictionary learning;online dictionary learning;sparse coding;support recovery;iterative hard thresholding;matrix factorization;neural architectures;neural networks;noodl
Decision: Poster
Title: Stochastic Gradient/Mirror Descent: Minimax Optimality and Implicit Regularization
Authors: Navid Azizan, Babak Hassibi
Affiliations: California Institute of Technology, Pasadena, CA 91125
Conference: iclr 2019 (main track)
Keywords: optimization;stochastic gradient descent;mirror descent;implicit regularization;deep learning theory
Decision: Poster
Title: Data-Dependent Coresets for Compressing Neural Networks with Applications to Generalization Bounds
Authors: Cenk Baykal, Lucas Liebenwein, Igor Gilitschenski, Dan Feldman, Daniela Rus
Affiliations: Computer Science and Artiﬁcial Intelligence Laboratory, Massachusetts Institute of Technology; Robotics and Big Data Laboratory, University of Haifa
Conference: iclr 2019 (main track)
Keywords: coresets;neural network compression;generalization bounds;matrix sparsification
Decision: Poster
Title: Boosting Robustness Certification of Neural Networks
Authors: Gagandeep Singh, Timon Gehr, Markus Püschel, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2019 (main track)
Keywords: Robustness certification;Adversarial Attacks;Abstract Interpretation;MILP Solvers;Verification of Neural Networks
Decision: Poster
Title: Adversarial Imitation via Variational Inverse Reinforcement Learning
Authors: Ahmed Qureshi, Byron Boots, Michael C Yip
Affiliations: College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA 92093, USA
Conference: iclr 2019 (main track)
Keywords: Inverse Reinforcement Learning;Imitation learning;Variational lnference;Learning from demonstrations
Decision: Poster
Title: On Random Deep Weight-Tied Autoencoders: Exact Asymptotic Analysis, Phase Transitions, and Implications to Training
Authors: Ping Li, Phan-Minh Nguyen
Affiliations: Cognitive Computing Lab (CCL), Baidu Research, Bellevue, WA 98004, USA; Stanford University, Stanford, CA 94305, USA. Work performed at Baidu Research as Summer Intern in 2018.
Conference: iclr 2019 (main track)
Keywords: Random Deep Autoencoders;Exact Asymptotic Analysis;Phase Transitions
Decision: Oral
Title: Reasoning About Physical Interactions with Object-Oriented Prediction and Planning
Authors: Michael Janner, Sergey Levine, William Freeman, Joshua B Tenenbaum, Chelsea Finn, Jiajun Wu
Affiliations: Massachusetts Institute of Technology; University of California, Berkeley
Conference: iclr 2019 (main track)
Keywords: structured scene representation;predictive models;intuitive physics;self-supervised learning
Decision: Poster
Title: Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation
Authors: Soochan Lee, Junsoo Ha, Gunhee Kim
Affiliations: Department of Computer Science and Engineering, Seoul National University, Seoul, Korea
Conference: iclr 2019 (main track)
Keywords: conditional GANs;conditional image generation;multimodal generation;reconstruction loss;maximum likelihood estimation;moment matching
Decision: Poster
Title: ADef: an Iterative Algorithm to Construct Adversarial Deformations
Authors: Rima Alaifari, Giovanni S Alberti, Tandri Gauksson
Affiliations: Department of Mathematics, ETH Zurich; Department of Mathematics, University of Genoa
Conference: iclr 2019 (main track)
Keywords: Adversarial examples;deformations;deep neural networks;computer vision
Decision: Poster
Title: Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning
Authors: Ilya Kostrikov, Kumar Agrawal, Debidatta Dwibedi, Sergey Levine, Jonathan Tompson
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY; Google Brain, Mountain View, CA
Conference: iclr 2019 (main track)
Keywords: deep learning;reinforcement learning;imitation learning;adversarial learning
Decision: Poster
Title: Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives
Authors: George Tucker, Dieterich Lawson, Shixiang Gu, Chris J Maddison
Affiliations: New York University; Google Brain; University of Oxford, DeepMind
Conference: iclr 2019 (main track)
Keywords: variational autoencoder;reparameterization trick;IWAE;VAE;RWS;JVI
Decision: Poster
Title: Learning Recurrent Binary/Ternary Weights
Authors: Arash Ardakani, Zhengyun Ji, Sean Smithson, Brett Meyer, Warren Gross
Affiliations: McGill University, Montreal, Canada; Department of Electrical and Computer Engineering, McGill University, Montreal, Canada
Conference: iclr 2019 (main track)
Keywords: Quantized Recurrent Neural Network;Hardware Implementation;Deep Learning
Decision: Poster
Title: Efficient Training on Very Large Corpora via Gramian Estimation
Authors: Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John Anderson
Affiliations: Google
Conference: iclr 2019 (main track)
Keywords: similarity learning;pairwise learning;matrix factorization;Gramian estimation;variance reduction;neural embedding models;recommender systems
Decision: Poster
Title: Residual Non-local Attention Networks for Image Restoration
Authors: Yulun Zhang, Kunpeng Li, Kai Li, Bineng Zhong, Yun Fu
Affiliations: Department of ECE, Northeastern University, Boston, MA 02115, USA; School of Computer Science and Technology, Huaqiao University, Xiamen 362100, China; College of CIS, Northeastern University, Boston, MA 02115, USA
Conference: iclr 2019 (main track)
Keywords: Non-local network;attention network;image restoration;residual learning
Decision: Poster
Title: Systematic Generalization: What Is Required and Can It Be Learned?
Authors: Dzmitry Bahdanau, Shikhar Murty, Mikhail Noukhovitch, Thien H Nguyen, Harm de Vries, Aaron Courville
Affiliations: Mila, Université de Montréal; Mila, Université de Montréal and CIFAR Fellow; University of Oregon; Mila, Université de Montréal and AdeptMind Scholar
Conference: iclr 2019 (main track)
Keywords: systematic generalization;language understanding;visual questions answering;neural module networks
Decision: Poster
Title: Efficient Lifelong Learning with A-GEM
Authors: Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny
Affiliations: Facebook AI Research; University of Oxford
Conference: iclr 2019 (main track)
Keywords: Lifelong Learning;Continual Learning;Catastrophic Forgetting;Few-shot Transfer
Decision: Poster
Title: Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Authors: Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Andrew McCallum
Affiliations: Microsoft Research, Montréal; Google AI, Mountain View; University of Massachusetts, Amherst
Conference: iclr 2019 (main track)
Keywords: Open domain Question Answering;Reinforcement Learning;Query reformulation
Decision: Poster
Title: Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
Authors: Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim
Affiliations: POSTECH, Department of Creative IT Engineering, Korea; Samsung Research, Korea
Conference: iclr 2019 (main track)
Keywords: quantization;pruning;memory footprint;model compression;sparse matrix
Decision: Poster
Title: RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Authors: Zhiqing Sun, Zhi-Hong Deng, Jian-Yun Nie, Jian Tang
Affiliations: Mila-Quebec Institute for Learning Algorithms, Canada; HEC Montr ´eal, Canada; CIFAR AI Research Chair; Peking University, China; Universit ´e de Montr ´eal, Canada
Conference: iclr 2019 (main track)
Keywords: knowledge graph embedding;knowledge graph completion;adversarial sampling
Decision: Poster
Title: Guiding Policies with Language via Meta-Learning
Authors: John Co-Reyes, Abhishek Gupta, Suvansh Q Sanjeev, Nicholas Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine
Affiliations: University of California, Berkeley
Conference: iclr 2019 (main track)
Keywords: meta-learning;language grounding;interactive
Decision: Poster
Title: AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
Authors: Fangwei Zhong, peng sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
Affiliations: Nat’l Eng. Lab. for Video Technology, Key Lab. of Machine Perception (MoE), Computer Science Dept., Peking University, Cooperative Medianet Innovation Center, Peng Cheng Lab, Deepwise AI Lab; Nat’l Eng. Lab. for Video Technology, Key Lab. of Machine Perception (MoE), Computer Science Dept., Peking University; Tencent AI Lab
Conference: iclr 2019 (main track)
Keywords: Active tracking;reinforcement learning;adversarial learning;multi agent
Decision: Poster
Title: Off-Policy Evaluation and Learning from Logged Bandit Feedback: Error Reduction via Surrogate Policy
Authors: Yuan Xie, Boyi Liu, Qiang Liu, Zhaoran Wang, Yuan Zhou, Jian Peng
Affiliations: Indiana University Bloomington; Northwestern University; University of Illinois at Urbana-Champaign; The University of Texas at Austin
Conference: iclr 2019 (main track)
Keywords: Causal inference;Policy Optimization;Non-asymptotic analysis
Decision: Poster
Title: MARGINALIZED AVERAGE ATTENTIONAL NETWORK FOR WEAKLY-SUPERVISED LEARNING
Authors: Yuan Yuan, YUEMING LYU, Xi SHEN, Ivor Wai-Hung Tsang, Dit-Yan Yeung
Affiliations: Hong Kong University of Science and Technology; University of Technology Sydney; Ecole des Ponts ParisTech
Conference: iclr 2019 (main track)
Keywords: feature aggregation;weakly supervised learning;temporal action localization
Decision: Poster
Title: Meta-Learning Probabilistic Inference for Prediction
Authors: Jonathan Gordon, John Bronskill, Matthias Bauer, Sebastian Nowozin, Richard E Turner
Affiliations: Google AI Berlin; University of Cambridge, Max Planck Institute for Intelligent Systems; University of Cambridge; University of Cambridge, Microsoft Research
Conference: iclr 2019 (main track)
Keywords: probabilistic models;approximate inference;few-shot learning;meta-learning
Decision: Poster
Title: Deep reinforcement learning with relational inductive biases
Authors: Vinicius Zambaldi, David Raposo, Adam Santoro, Victor Bapst, Yujia Li, Igor Babuschkin, Karl Tuyls, David P Reichert, Timothy Lillicrap, Edward Lockhart, Murray Shanahan, Victoria Langston, Razvan Pascanu, Matthew Botvinick, Oriol Vinyals, Peter Battaglia
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: relational reasoning;reinforcement learning;graph neural networks;starcraft;generalization;inductive bias
Decision: Poster
Title: Relaxed Quantization for Discretized Neural Networks
Authors: Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling
Affiliations: Qualcomm AI Research; University of Amsterdam, Qualcomm; QUV A Lab, University of Amsterdam; University of Amsterdam, TNO Intelligent Imaging
Conference: iclr 2019 (main track)
Keywords: Quantization;Compression;Neural Networks;Efficiency
Decision: Poster
Title: Tree-Structured Recurrent Switching Linear Dynamical Systems for Multi-Scale Modeling
Authors: Josue Nassar, Scott W Linderman, Monica Bugallo, Il Memming Park
Affiliations: Department of Electrical & Computer Engineering, Stony Brook University, Stony Brook, NY 11794; Department of Statistics, Columbia University, New York, NY 10027; Department of Neurobiology and Behavior, Stony Brook University, Stony Brook, NY 11794
Conference: iclr 2019 (main track)
Keywords: machine learning;bayesian statistics;dynamical systems
Decision: Poster
Title: Improving Differentiable Neural Computers Through Memory Masking, De-allocation, and Link Distribution Sharpness Control
Authors: Robert Csordas, Jürgen Schmidhuber
Affiliations: The Swiss AI Lab, IDSIA / USI / SUPSI, NNAISENSE; The Swiss AI Lab, IDSIA / USI / SUPSI
Conference: iclr 2019 (main track)
Keywords: rnn;dnc;memory augmented neural networks;mann
Decision: Poster
Title: Random mesh projectors for inverse problems
Authors: Konik Kothari, Sidharth Gupta, Maarten V de Hoop, Ivan Dokmanic
Affiliations: University of Illinois at Urbana-Champaign; Rice University
Conference: iclr 2019 (main track)
Keywords: imaging;inverse problems;subspace projections;random Delaunay triangulations;CNN;geophysics;regularization
Decision: Poster
Title: Multi-Agent Dual Learning
Authors: Yiren Wang, Yingce Xia, Tianyu He, Fei Tian, Tao Qin, ChengXiang Zhai, Tie-Yan Liu
Affiliations: University of Illinois at Urbana-Champaign; University of Science and Technology of China; Microsoft Research
Conference: iclr 2019 (main track)
Keywords: Dual Learning;Machine Learning;Neural Machine Translation
Decision: Poster
Title: Complement Objective Training
Authors: Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan
Affiliations: Google Research, Mountain View, CA, USA; Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan; Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan and Electronic and Optoelectronic System Research Laboratories, ITRI, Hsinchu, Taiwan
Conference: iclr 2019 (main track)
Keywords: optimization;entropy;image recognition;natural language understanding;adversarial attacks;deep learning
Decision: Poster
Title: Verification of Non-Linear Specifications for Neural Networks
Authors: Chongli Qin, Krishnamurthy Dvijotham, Brendan ODonoghue, Rudy R Bunel, Robert Stanforth, Sven Gowal, Jonathan Uesato, Grzegorz Swirszcz, Pushmeet Kohli
Affiliations: DeepMind
Conference: iclr 2019 (main track)
Keywords: Verification;Convex Optimization;Adversarial Robustness
Decision: Poster
Title: DyRep: Learning Representations over Dynamic Graphs
Authors: Rakshit Trivedi, Mehrdad Farajtabar, Prasenjeet Biswal, Hongyuan Zha
Affiliations: Georgia Institute of Technology; DeepMind
Conference: iclr 2019 (main track)
Keywords: Dynamic Graphs;Representation Learning;Dynamic Processes;Temporal Point Process;Attention;Latent Representation
Decision: Poster
Title: Trellis Networks for Sequence Modeling
Authors: Shaojie Bai, Zico Kolter, Vladlen Koltun
Affiliations: Carnegie Mellon University and Bosch Center for AI; Carnegie Mellon University; Intel Labs
Conference: iclr 2019 (main track)
Keywords: sequence modeling;language modeling;recurrent networks;convolutional networks;trellis networks
Decision: Poster
Title: Solving the Rubik's Cube with Approximate Policy Iteration
Authors: Stephen McAleer, Forest Agostinelli, Alexander K Shmakov, Pierre Baldi
Affiliations: Department of Statistics, University of California, Irvine; Department of Computer Science, University of California, Irvine
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;Rubik's Cube;approximate policy iteration;deep learning;deep reinforcement learning
Decision: Poster
Title: Variance Reduction for Reinforcement Learning in Input-Driven Environments
Authors: Hongzi Mao, Shaileshh Bojja Venkatakrishnan, Malte Schwarzkopf, Mohammad Alizadeh
Affiliations: MIT Computer Science and Artificial Intelligence Laboratory
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;policy gradient;input-driven environments;variance reduction;baseline
Decision: Poster
Title: Model-Predictive Policy Learning with Uncertainty Regularization for Driving in Dense Traffic
Authors: Mikael Henaff, Alfredo Canziani, Yann LeCun
Affiliations: Courant Institute, New York University; Facebook AI Research; Courant Institute, New York University; Courant Institute, New York University; Microsoft Research, NYC
Conference: iclr 2019 (main track)
Keywords: model-based reinforcement learning;stochastic video prediction;autonomous driving
Decision: Poster
Title: Deterministic PAC-Bayesian generalization bounds for deep networks via generalizing noise-resilience
Authors: Vaishnavh Nagarajan, Zico Kolter
Affiliations: Department of Computer Science, Carnegie Mellon University & Bosch Center for AI, Pittsburgh, PA; Department of Computer Science, Carnegie Mellon University, Pittsburgh, PA
Conference: iclr 2019 (main track)
Keywords: generalization;PAC-Bayes;SGD;learning theory;implicit regularization
Decision: Poster
Title: Recall Traces: Backtracking Models for Efficient Reinforcement Learning
Authors: Anirudh Goyal, Philemon Brakel, William Fedus, Soumye Singhal, Timothy Lillicrap, Sergey Levine, Hugo Larochelle, Yoshua Bengio
Affiliations: University of California, Berkeley; Google Deepmind; IIT Kanpur; Mila, University of Montreal; Google Brain
Conference: iclr 2019 (main track)
Keywords: Model free RL;Variational Inference
Decision: Poster
Title: The Limitations of Adversarial Training and the Blind-Spot Attack
Authors: Huan Zhang, Hongge Chen, Zhao Song, Duane S Boning, Inderjit Dhillon, Cho-Jui Hsieh
Affiliations: UCLA, Los Angeles, CA 90095; MIT, Cambridge, MA 02139; UT Austin, Austin, TX 78712
Conference: iclr 2019 (main track)
Keywords: Adversarial Examples;Adversarial Training;Blind-Spot Attack
Decision: Poster
Title: Efficiently testing local optimality and escaping saddles for ReLU networks
Authors: Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Affiliations: Massachusetts Institute of Technology
Conference: iclr 2019 (main track)
Keywords: local optimality;second-order stationary point;escaping saddle points;nondifferentiability;ReLU;empirical risk
Decision: Poster
Title: Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
Authors: Takayuki Osa, Voot Tangkaratt, Masashi Sugiyama
Affiliations: RIKEN AIP, Tokyo, Japan; RIKEN AIP, Tokyo, Japan; University of Tokyo, Tokyo, Japan; University of Tokyo, Tokyo, Japan; RIKEN AIP, Tokyo, Japan
Conference: iclr 2019 (main track)
Keywords: Hierarchical reinforcement learning;Representation learning;Continuous control
Decision: Poster
Title: Adversarial Domain Adaptation for Stable Brain-Machine Interfaces
Authors: Ali Farshchian, Juan Álvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E Miller, Sara A Solla
Affiliations: University of Montreal, Montreal, Canada; Northwestern University, Evanston, IL, USA
Conference: iclr 2019 (main track)
Keywords: Brain-Machine Interfaces;Domain Adaptation;Adversarial Networks
Decision: Poster
Title: Contingency-Aware Exploration in Reinforcement Learning
Authors: Jongwook Choi, Yijie Guo, Marcin Moczulski, Junhyuk Oh, Neal Wu, Mohammad Norouzi, Honglak Lee
Affiliations: University of Michigan and Google Brain; University of Michigan; Google Brain
Conference: iclr 2019 (main track)
Keywords: Reinforcement Learning;Exploration;Contingency-Awareness
Decision: Poster
Title: Context-adaptive Entropy Model for End-to-end Optimized Image Compression
Authors: Jooyoung Lee, Seunghyun Cho, Seung-Kwon Beack
Affiliations: Broadcasting Media Research Laboratory, Electronics and Telecommunications Research Institute, Daejeon, Korea
Conference: iclr 2019 (main track)
Keywords: image compression;deep learning;entropy model
Decision: Poster
Title: Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow
Authors: Xue Bin Peng, Angjoo Kanazawa, Samuel Toyer, Pieter Abbeel, Sergey Levine
Affiliations: University of California, Berkeley
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;generative adversarial networks;imitation learning;inverse reinforcement learning;information bottleneck
Decision: Poster
Title: Meta-learning with differentiable closed-form solvers
Authors: Luca Bertinetto, Joao F. Henriques, Philip Torr, Andrea Vedaldi
Affiliations: University of Oxford; FiveAI & University of Oxford
Conference: iclr 2019 (main track)
Keywords: few-shot learning;one-shot learning;meta-learning;deep learning;ridge regression;classification
Decision: Poster
Title: Learning Self-Imitating Diverse Policies
Authors: Tanmay Gangwani, Qiang Liu, Jian Peng
Affiliations: Dept. of Computer Science, UT Austin; Dept. of Computer Science, UIUC
Conference: iclr 2019 (main track)
Keywords: Reinforcement-learning;Imitation-learning;Ensemble-training
Decision: Poster
Title: Universal Transformers
Authors: Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser
Affiliations: University of Amsterdam; DeepMind; Google Brain
Conference: iclr 2019 (main track)
Keywords: sequence-to-sequence;rnn;transformer;machine translation;language understanding;learning to execute
Decision: Poster
Title: Learning to Adapt in Dynamic, Real-World Environments through Meta-Reinforcement Learning
Authors: Anusha Nagabandi, Ignasi Clavera, Simin Liu, Ronald Fearing, Pieter Abbeel, Sergey Levine, Chelsea Finn
Affiliations: University of California, Berkeley
Conference: iclr 2019 (main track)
Keywords: meta-learning;reinforcement learning;meta reinforcement learning;online adaptation
Decision: Poster
Title: Towards the first adversarially robust neural network model on MNIST
Authors: Lukas Schott, Jonas Rauber, Matthias Bethge, Wieland Brendel
Affiliations: Centre for Integrative Neuroscience, University of Tübingen; International Max Planck Research School for Intelligent Systems; Bernstein Center for Computational Neuroscience Tübingen; Centre for Integrative Neuroscience, University of Tübingen; Bernstein Center for Computational Neuroscience Tübingen; Max Planck Institute for Biological Cybernetics; Centre for Integrative Neuroscience, University of Tübingen; Bernstein Center for Computational Neuroscience Tübingen
Conference: iclr 2019 (main track)
Keywords: adversarial examples;MNIST;robustness;deep learning;security
Decision: Poster
Title: Universal Successor Features Approximators
Authors: Diana Borsa, Andre Barreto, John Quan, Daniel J. Mankowitz, Hado van Hasselt, Remi Munos, David Silver, Tom Schaul
Affiliations: DeepMind, London, UK
Conference: iclr 2019 (main track)
Keywords: reinforcement learning;zero-shot transfer;successor features;universal value functions;general value functions
Decision: Poster
Title: Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams
Authors: Mohammad Kachuee, Orpaz Goldstein, Kimmo Kärkkäinen, Sajad Darabi, Majid Sarrafzadeh
Affiliations: Department of Computer Science, University of California, Los Angeles (UCLA), Los Angeles, CA 90095, USA
Conference: iclr 2019 (main track)
Keywords: Cost-Aware Learning;Feature Acquisition;Reinforcement Learning;Stream Learning;Deep Q-Learning
Decision: Poster