hunoutl/paperlists huggingface dataset:
Title: Boost then Convolve: Gradient Boosting Meets Graph Neural Networks
Authors: Sergei Ivanov, Liudmila Prokhorenkova
Affiliations: Criteo AI Lab; Skoltech, Paris, France; Yandex; HSE University; MIPT, Moscow, Russia
Conference: iclr 2021 (main track)
Keywords: GNN;GBDT;graphs;tabular data;heterogeneous data
Decision: Poster
Title: MultiModalQA: complex question answering over text, tables and images
Authors: Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, Jonathan Berant
Affiliations: Tel-Aviv University, University of Washington; University of Washington; The Allen Institute for AI, Tel-Aviv University; Tel-Aviv University
Conference: iclr 2021 (main track)
Keywords: NLP;Question Answering;Dataset;Multi-Modal;Multi-Hop
Decision: Poster
Title: Training GANs with Stronger Augmentations via Contrastive Discriminator
Authors: Jongheon Jeong, Jinwoo Shin
Affiliations: Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST); School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2021 (main track)
Keywords: generative adversarial networks;contrastive learning;data augmentation;visual representation learning;unsupervised learning
Decision: Poster
Title: CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers
Authors: Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong
Affiliations: Salesforce Research; Salesforce Research†University of California, Santa Barbara; University of California, Santa Barbara†Salesforce Research
Conference: iclr 2021 (main track)
Keywords: task-oriented dialogue;dialogue state tracking;robustness;dst;evaluation
Decision: Poster
Title: Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Authors: Benjamin Eysenbach, Shreyas Chaudhari, Swapnil Asawa, Sergey Levine, Ruslan Salakhutdinov
Affiliations: UC Berkeley, Google Brain; CMU, Google Brain; CMU; University of Pittsburgh
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;transfer learning;domain adaptation
Decision: Poster
Title: Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms
Authors: Arda Sahiner, Tolga Ergen, John M Pauly, Mert Pilanci
Affiliations: Department of Electrical Engineering, Stanford University
Conference: iclr 2021 (main track)
Keywords: neural networks;theory;convex optimization;copositive programming;convex duality;nonnegative PCA;semi-nonnegative matrix factorization;computational complexity;global optima;semi-infinite duality;convolutional neural networks
Decision: Poster
Title: Understanding the failure modes of out-of-distribution generalization
Authors: Vaishnavh Nagarajan, Anders J Andreassen, Behnam Neyshabur
Affiliations: Blueshift, Alphabet; Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: out-of-distribution generalization;spurious correlations;empirical risk minimization;theoretical study
Decision: Poster
Title: How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Authors: Zixiang Chen, Yuan Cao, Difan Zou, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: iclr 2021 (main track)
Keywords: deep ReLU networks;neural tangent kernel;(stochastic) gradient descent;generalization error;classification
Decision: Poster
Title: Efficient Reinforcement Learning in Factored MDPs with Application to Constrained RL
Authors: Xiaoyu Chen, Jiachen Hu, Lihong Li, Liwei Wang
Affiliations: Key Laboratory of Machine Perception, MOE, School of EECS, Peking University, Center for Data Science, Peking University; Key Laboratory of Machine Perception, MOE, School of EECS, Peking University; Amazon
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;factored MDP;constrained RL;learning theory
Decision: Poster
Title: Transformer protein language models are unsupervised structure learners
Authors: Roshan Rao, Joshua Meier, Tom Sercu, Sergey Ovchinnikov, Alexander Rives
Affiliations: Facebook AI Research; Harvard University; Facebook AI Research & New York University; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: proteins;language modeling;structure prediction;unsupervised learning;explainable
Decision: Poster
Title: How Benign is Benign Overfitting ?
Authors: Amartya Sanyal, Puneet Dokania, Varun Kanade, Philip Torr
Affiliations: Department of Computer Science, University of Oxford, Oxford, UK; The Alan Turing Institute, London, UK; Department of Engineering Science, University of Oxford, Oxford, UK; Five AI Limited; Department of Engineering Science, University of Oxford, Oxford, UK
Conference: iclr 2021 (main track)
Keywords: benign overfitting;adversarial robustness;memorization;generalization
Decision: Spotlight
Title: Combining Ensembles and Data Augmentation Can Harm Your Calibration
Authors: Yeming Wen, Ghassen Jerfel, Rafael Müller, Michael W Dusenberry, Jasper Snoek, Balaji Lakshminarayanan, Dustin Tran
Conference: iclr 2021 (main track)
Keywords: Ensembles;Uncertainty estimates;Calibration
Decision: Poster
Title: VA-RED$^2$: Video Adaptive Redundancy Reduction
Authors: Bowen Pan, Rameswar Panda, Camilo L Fosco, Chung-Ching Lin, Alex J Andonian, Yue Meng, Kate Saenko, Aude Oliva, Rogerio Feris
Affiliations: MIT CSAIL/MIT-IBM Waston AI Lab; MIT-IBM Waston AI Lab; Boston University; Microsoft; MIT CSAIL
Conference: iclr 2021 (main track)
Decision: Poster
Title: Rethinking Soft Labels for Knowledge Distillation: A Bias–Variance Tradeoff Perspective
Authors: Helong Zhou, Liangchen Song, Jiajie Chen, Ye Zhou, Guoli Wang, Junsong Yuan, Qian Zhang
Affiliations: Horizon Robotics; University at Buffalo; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: Knowledge distillation;soft labels;teacher-student model
Decision: Poster
Title: Learning to Sample with Local and Global Contexts in Experience Replay Buffer
Authors: Youngmin Oh, Kimin Lee, Jinwoo Shin, Eunho Yang, Sung Ju Hwang
Affiliations: University of California, Berkeley; Korea Advanced Institute of Science and Technology; Samsung Advanced Institute of Technology
Conference: iclr 2021 (main track)
Keywords: reinforcement learning;experience replay buffer;off-policy RL
Decision: Poster
Title: MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
Authors: Tsung Wei Tsai, Chongxuan Li, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, Tsinghua-Bosch Joint ML Center, THBI Lab, Tsinghua University, Beijing, 100084 China
Conference: iclr 2021 (main track)
Keywords: unsupervised learning;clustering;self supervised learning;mixture of experts
Decision: Poster
Title: Deformable DETR: Deformable Transformers for End-to-End Object Detection
Authors: Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, Jifeng Dai
Affiliations: University of Science and Technology of China; The Chinese University of Hong Kong; SenseTime Research
Conference: iclr 2021 (main track)
Keywords: Efficient Attention Mechanism;Deformation Modeling;Multi-scale Representation;End-to-End Object Detection
Decision: Oral
Title: Go with the flow: Adaptive control for Neural ODEs
Authors: Mathieu Chalvidal, Matthew Ricci, Rufin VanRullen, Thomas Serre
Affiliations: Artificial and Natural Intelligence Toulouse Institute, Universite de Toulouse, France; Centre de Recherche Cerveau & Cognition CNRS, Universite de Toulouse; Artificial and Natural Intelligence Toulouse Institute, Universite de Toulouse, France; Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Data Science Initiative, Brown University, Providence, RI 02912
Conference: iclr 2021 (main track)
Keywords: Neural ODEs;Optimal Control Theory;Hypernetworks;Normalizing flows
Decision: Poster
Title: Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity
Authors: Jang-Hyun Kim, Wonho Choo, Hosan Jeong, Hyun Oh Song
Affiliations: Department of Computer Science and Engineering, Seoul National University; Neural Processing Research Center
Conference: iclr 2021 (main track)
Keywords: Data Augmentation;Deep Learning;Supervised Learning;Discrete Optimization
Decision: Oral
Title: Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models
Authors: Mitchell Hill, Jonathan Mitchell, Song-Chun Zhu
Affiliations: Department of Computer Science, University of California, Los Angeles; Department of Statistics and Data Science, University of Central Florida; Department of Statistics, University of California, Los Angeles
Conference: iclr 2021 (main track)
Keywords: adversarial defense;adversarial robustness;energy-based model;Markov chain Monte Carlo;Langevin sampling;adversarial attack
Decision: Poster
Title: Learning "What-if" Explanations for Sequential Decision-Making
Authors: Ioana Bica, Daniel Jarrett, Alihan Hüyük, Mihaela van der Schaar
Affiliations: University of Cambridge, Cambridge, UK; Cambridge Center for AI in Medicine, UK; University of California, Los Angeles, USA; The Alan Turing Institute, London, UK; University of Cambridge, Cambridge, UK; University of Oxford, Oxford, UK; The Alan Turing Institute, London, UK
Conference: iclr 2021 (main track)
Keywords: counterfactuals;explaining decision-making;preference learning
Decision: Poster
Title: CaPC Learning: Confidential and Private Collaborative Learning
Authors: Christopher Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
Conference: iclr 2021 (main track)
Keywords: machine learning;deep learning;privacy;confidentiality;security;homomorphic encryption;mpc;differential privacy
Decision: Poster
Title: LowKey: Leveraging Adversarial Attacks to Protect Social Media Users from Facial Recognition
Authors: Valeriia Cherepanova, Micah Goldblum, Harrison Foley, Shiyuan Duan, John P Dickerson, Gavin Taylor, Tom Goldstein
Affiliations: Department of Computer Science, University of Maryland; Department of Computer Science, US Naval Academy; Department of Mathematics, University of Maryland
Conference: iclr 2021 (main track)
Keywords: facial recognition;adversarial attacks
Decision: Poster
Title: Sample-Efficient Automated Deep Reinforcement Learning
Authors: Jörg Franke, Gregor Koehler, André Biedenkapp, Frank Hutter
Affiliations: German Cancer Research Center, Heidelberg, Germany; Department of Computer Science, University of Freiburg, Germany; Bosch Center for Artiﬁcial Intelligence, Renningen, Germany; Department of Computer Science, University of Freiburg, Germany
Conference: iclr 2021 (main track)
Keywords: AutoRL;Deep Reinforcement Learning;Hyperparameter Optimization;Neuroevolution
Decision: Poster
Title: Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization
Authors: Juntae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun
Affiliations: Qualcomm AI Research∗
Conference: iclr 2021 (main track)
Keywords: Audio-Visual;Multimodal Attention;Action localization;Event localization;Weak-supervision
Decision: Poster
Title: Learning explanations that are hard to vary
Authors: Giambattista Parascandolo, Alexander Neitz, Antonio Orvieto, Luigi Gresele, Bernhard Schoelkopf
Affiliations: MPI for Intelligent Systems, Tübingen; ETH, Zürich; MPI for Biological Cybernetics, Tübingen
Conference: iclr 2021 (main track)
Keywords: invariances;consistency;gradient alignment
Decision: Poster
Title: InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective
Authors: Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu
Affiliations: University of Illinois at Urbana-Champaign; Virginia Tech; Microsoft Dynamics 365 AI Research
Conference: iclr 2021 (main track)
Keywords: adversarial robustness;information theory;BERT;adversarial training;NLI;QA
Decision: Poster
Title: Efficient Certified Defenses Against Patch Attacks on Image Classifiers
Authors: Jan Hendrik Metzen, Maksym Yatsura
Affiliations: Bosch Center for Artiﬁcial Intelligence, Robert Bosch GmbH, Robert-Bosch-Campus 1, 71272 Renningen, Germany
Conference: iclr 2021 (main track)
Keywords: robustness;certified defense;adversarial patch;aversarial examples
Decision: Poster
Title: EVALUATION OF NEURAL ARCHITECTURES TRAINED WITH SQUARE LOSS VS CROSS-ENTROPY IN CLASSIFICATION TASKS
Affiliations: Computer Science and Engineering, University of California, San Diego, San Diego, CA 92093; Halıcıoğlu Data Science Institute, University of California, San Diego, San Diego, CA 92093
Conference: iclr 2021 (main track)
Keywords: large scale learning;square loss vs cross-entropy;classification;experimental evaluation
Decision: Poster
Title: Provable Rich Observation Reinforcement Learning with Combinatorial Latent States
Authors: Dipendra Kumar Misra, Qinghua Liu, Chi Jin, John Langford
Affiliations: Princeton University; Microsoft Research
Conference: iclr 2021 (main track)
Keywords: Reinforcement learning theory;Rich observation;Noise-contrastive learning;State abstraction;Factored MDP
Decision: Poster
Title: Geometry-aware Instance-reweighted Adversarial Training
Authors: Jingfeng Zhang, Jianing ZHU, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli
Affiliations: RIKEN Center for Advanced Intelligence Project, Tokyo, Japan; Hong Kong Baptist University, Hong Kong SAR, China; National University of Singapore, Singapore; The University of Tokyo, Tokyo, Japan
Conference: iclr 2021 (main track)
Keywords: Adversarial robustness
Decision: Oral
Title: Unlearnable Examples: Making Personal Data Unexploitable
Authors: Hanxun Huang, Xingjun Ma, Sarah Erfani, James Bailey, Yisen Wang
Affiliations: The University of Melbourne, VIC, Australia; Deakin University, Geelong, VIC, Australia; Key Lab. of Machine Perception (MoE), School of EECS, Peking University, Beijing, China
Conference: iclr 2021 (main track)
Keywords: Unlearnable Examples;Data Protection;Adversarial Machine Learning
Decision: Spotlight
Title: Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
Authors: Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University; School of Data Science, The Chinese University of Hong Kong, Shenzhen and Secure Computing Lab of Big Data, Shenzhen Research Institute of Big Data; Tsinghua Shenzhen International Graduate School, Tsinghua University and PCL Research Center of Networks and Communications, Peng Cheng Laboratory; Tencent AI Lab
Conference: iclr 2021 (main track)
Keywords: targeted attack;bit-flip;weight attack
Decision: Poster
Title: Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Authors: Wei Deng, Qi Feng, Georgios Karagiannis, Guang Lin, Faming Liang
Affiliations: Department of Mathematics, Purdue University, West Lafayette, IN, USA; Departments of Mathematics & School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA; Departments of Statistics, Purdue University, West Lafayette, IN, USA; Department of Mathematics, University of Southern California, Los Angeles, CA, USA; Department of Mathematical Sciences, Durham University, Durham, UK
Conference: iclr 2021 (main track)
Keywords: variance reduction;replica exchange;parallel tempering;stochastic gradient Langevin dynamics;uncertainty quantification;change of measure;generalized Girsanov theorem;Dirichlet form;Markov jump process
Decision: Poster
Title: Decoupling Global and Local Representations via Invertible Generative Flows
Authors: Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H Hovy
Affiliations: Carnegie Mellon University; University of California, Berkeley; University of Southern California
Conference: iclr 2021 (main track)
Keywords: Generative Models;Generative Flow;Normalizing Flow;Image Generation;Representation Learning
Decision: Poster
Title: Adversarially-Trained Deep Nets Transfer Better: Illustration on Image Classification
Authors: Francisco Utrera, Evan Kravitz, N. Benjamin Erichson, Rajiv Khanna, Michael W Mahoney
Affiliations: ICSI and UC Berkeley; UC Berkeley
Conference: iclr 2021 (main track)
Keywords: transfer learning;adversarial training;influence functions;limited data
Decision: Poster
Title: IOT: Instance-wise Layer Reordering for Transformer Structures
Authors: Jinhua Zhu, Lijun Wu, Yingce Xia, Shufang Xie, Tao Qin, Wengang Zhou, Houqiang Li, Tie-Yan Liu
Conference: iclr 2021 (main track)
Keywords: Layer order;Transformers;Instance-wise Learning
Decision: Poster
Title: No MCMC for me: Amortized sampling for fast and stable training of energy-based models
Authors: Will Grathwohl, Jacob Kelly, Milad Hashemi, Mohammad Norouzi, Kevin Swersky, David Duvenaud
Affiliations: University of Toronto & Vector Institute; University of Toronto & Vector Institute, Google Research; Google Research
Conference: iclr 2021 (main track)
Keywords: Generative Models;EBM;Energy-Based Models;Energy Based Models;semi-supervised learning;JEM
Decision: Poster
Title: Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning
Authors: Haibo Yang, Minghong Fang, Jia Liu
Affiliations: Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210 USA
Conference: iclr 2021 (main track)
Keywords: Federated Learning;Linear Speedup;Partial Worker Participation
Decision: Poster
Title: Symmetry-Aware Actor-Critic for 3D Molecular Design
Authors: Gregor Simm, Robert Pinsler, Gábor Csányi, José Miguel Hernández Lobato
Affiliations: Department of Engineering, University of Cambridge, Cambridge, UK; Department of Engineering, University of Cambridge, Cambridge, UK & Alan Turing Institute, London, UK
Conference: iclr 2021 (main track)
Keywords: deep reinforcement learning;molecular design;covariant neural networks
Decision: Poster
Title: Molecule Optimization by Explainable Evolution
Authors: Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, Le Song
Affiliations: Mohamed bin Zayed University of AI; Galixir; Georgia Institute of Technology; Google Research, Brain Team; Georgia Institute of Technology, Shanghai Qi Zhi Institute
Conference: iclr 2021 (main track)
Keywords: Molecule Design;Explainable Model;Evolutionary Algorithm;Reinforcement Learning;Graph Generative Model
Decision: Poster
Title: GraphCodeBERT: Pre-training Code Representations with Data Flow
Authors: Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie LIU, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou
Affiliations: School of Computer Science and Engineering, Sun Yat-sen University; Microsoft Research Asia; Peking University; Microsoft Devdiv; Microsoft STCA; Harbin Institute of Technology; Beihang University
Conference: iclr 2021 (main track)
Keywords: Pre-training;BERT;Code Representations;Code Structure;Data Flow
Decision: Poster
Title: Discovering Non-monotonic Autoregressive Orderings with Variational Inference
Authors: Xuanlin Li, Brandon Trabucco, Dong Huk Park, Michael Luo, Sheng Shen, trevor darrell, Yang Gao
Affiliations: University of California, Berkeley; University of California, Berkeley; Tsinghua University
Conference: iclr 2021 (main track)
Keywords: variational inference;unsupervised learning;computer vision;natural language processing;optimization;reinforcement learning
Decision: Poster
Title: A Distributional Approach to Controlled Text Generation
Authors: Muhammad Khalifa, Hady Elsahar, Marc Dymetman
Affiliations: Cairo University; Naver Labs Europe
Conference: iclr 2021 (main track)
Keywords: Controlled NLG;Pretrained Language Models;Bias in Language Models;Energy-Based Models;Information Geometry;Exponential Families
Decision: Oral
Title: Latent Skill Planning for Exploration and Transfer
Authors: Kevin Xie, Homanga Bharadhwaj, Danijar Hafner, Animesh Garg, Florian Shkurti
Affiliations: University of Toronto and Vector Institute; University of Toronto and Vector Institute, Google Brain; University of Toronto and Vector Institute, Nvidia
Conference: iclr 2021 (main track)
Keywords: Model-Based Reinforcement Learning;World Models;Skill Discovery;Mutual Information;Planning;Model Predictive Control;Partial Amortization
Decision: Poster
Title: Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Authors: Jeremy Cohen, Simran Kaur, Yuanzhi Li, Zico Kolter, Ameet Talwalkar
Affiliations: Carnegie Mellon University; Carnegie Mellon University and Bosch AI; Carnegie Mellon University and Determined AI
Conference: iclr 2021 (main track)
Keywords: optimization;trajectory;stability;sharpness;implicit bias;implicit regularization;L-smoothness;deep learning theory;science of deep learning
Decision: Poster
Title: Empirical or Invariant Risk Minimization? A Sample Complexity Perspective
Authors: Kartik Ahuja, Jun Wang, Amit Dhurandhar, Karthikeyan Shanmugam, Kush R Varshney
Affiliations: IBM Research, TJ Watson Research Center, NY; Rensselaer Polytechnique Institute
Conference: iclr 2021 (main track)
Keywords: invariant risk minimization;IRM
Decision: Poster
Title: Effective Distributed Learning with Random Features: Improved Bounds and Algorithms
Authors: Yong Liu, Jiankun Liu, Shuqiang Wang
Affiliations: Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences; Institute of Information Engineering, Chinese Academy of Sciences; Gaoling School of Artiﬁcial Intelligence, Renmin University of China; Beijing Key Laboratory of Big Data Management and Analysis Methods
Conference: iclr 2021 (main track)
Keywords: Risk bound;statistical learning theory;kernel methods
Decision: Poster
Title: In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness
Authors: Sang Michael Xie, Ananya Kumar, Robbie Jones, Fereshte Khani, Tengyu Ma, Percy Liang
Affiliations: Stanford University
Conference: iclr 2021 (main track)
Keywords: pre-training;self-training theory;robustness;out-of-distribution;unlabeled data;auxiliary information;multi-task learning theory;distribution shift
Decision: Poster
Title: DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
Authors: Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, Yulia Tsvetkov
Affiliations: Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2021 (main track)
Keywords: negotiation;dialogue;graph neural networks;interpretability;structure
Decision: Poster
Title: Estimating informativeness of samples with Smooth Unique Information
Authors: Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto
Affiliations: Amazon Web Services; Amazon Web Services, USC Information Sciences Institute
Conference: iclr 2021 (main track)
Keywords: sample information;information theory;stability theory;ntk;dataset summarization
Decision: Poster
Title: MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Authors: Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li
Affiliations: ByteDance AI Lab, Shanghai, China; Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
Conference: iclr 2021 (main track)
Keywords: drug discovery;molecular graph generation;MCMC sampling
Decision: Spotlight
Title: Modelling Hierarchical Structure between Dialogue Policy and Natural Language Generator with Option Framework for Task-oriented Dialogue System
Authors: Jianhong Wang, Yuan Zhang, Tae-Kyun Kim, Yunjie Gu
Affiliations: University of Bath; KAIST; Laiye Network Technology Co. Ltd.; Imperial College London
Conference: iclr 2021 (main track)
Keywords: Task-oriented Dialogue System;Natural Language Processing;Hierarchical Reinforcement Learning;Policy Optimization
Decision: Poster