hunoutl/paperlists huggingface dataset:
Title: Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation
Authors: Jingyu Zhao, Yanwen Fang, Guodong Li
Affiliations: Department of Statistics and Actuarial Science, The University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Convolutional Neural Networks;ResNet;DenseNet;Recurrent Structures;Layer Aggregation
Decision: Poster
Title: Temporally Abstract Partial Models
Authors: Khimya Khetarpal, Zafarali Ahmed, Gheorghe Comanici, Doina Precup
Affiliations: DeepMind; McGill University, Mila, DeepMind
Conference: nips 2021 (main track)
Keywords: reinforcement learning;model-based reinforcement learning;temporal abstraction;options;partial models;affordances
Decision: Poster
Title: Continual Learning via Local Module Composition
Authors: Oleksiy Ostapenko, Pau Rodriguez, Massimo Caccia, Laurent Charlin
Affiliations: ServiceNow; Mila - Quebec AI Institute, Université de Montréal, HEC Montréal, Canada CIFAR AI Chair; HEC Montréal, Canada CIFAR AI Chair; Mila - Quebec AI Institute, Université de Montréal
Conference: nips 2021 (main track)
Keywords: continual learning;modularity;compositionality;neverending learning;lifelong learning;plasticity;plasticity-stability dilemma;task incremental learning;multitask learning;routing;dynamic architectures;model growing;out-of-distribution generalization;OOD;parameter sharing
Decision: Poster
Title: TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification
Authors: Zhuchen Shao, Hao Bian, Yang Chen, Yifeng Wang, Jian Zhang, Xiangyang Ji, yongbing zhang
Affiliations: Harbin Institute of Technology (Shenzhen); Tsinghua Shenzhen International Graduate School, Tsinghua University; Department of Automation, Tsinghua University; School of Electronic and Computer Engineering, Peking University
Conference: nips 2021 (main track)
Keywords: Whole slide image;Weakly supervised classification;Multiple instance learning;Transformer
Decision: Poster
Title: Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination
Authors: Arpan Mukherjee, Ali Tajer, Pin-Yu Chen, Payel Das
Affiliations: Rensselaer Polytechnic Institute; IBM Research
Conference: nips 2021 (main track)
Keywords: Best arm identification;contaminated stochastic bandits
Decision: Poster
Title: Chasing Sparsity in Vision Transformers: An End-to-End Exploration
Authors: Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
Affiliations: University of Texas at Austin; International Digital Economy Academy; Microsoft Corporation
Conference: nips 2021 (main track)
Keywords: Vision Transformer;Sparsity;Data and Architecture Sparse Co-Training
Decision: Poster
Title: Implicit Semantic Response Alignment for Partial Domain Adaptation
Authors: Wenxiao Xiao, Zhengming Ding, Hongfu Liu
Affiliations: Department of Computer Science, Tulane University, New Orleans, LA 70118; Department of Computer Science, Brandeis University, Waltham, MA 02451
Conference: nips 2021 (main track)
Keywords: Partial Domain Adaptation;Transfer Learning;Implicit Semantic Discovery;Feature-Level Weighting Schema;Semantic Alignment
Decision: Poster
Title: Few-Shot Segmentation via Cycle-Consistent Transformer
Authors: Gengwei Zhang, Guoliang Kang, Yi Yang, Yunchao Wei
Affiliations: Institute of Information Science, Beijing Jiaotong University, Beijing Key Laboratory of Advanced Information Science and Network; CCAI, College of Computer Science and Technology, Zhejiang University; Baidu Research, ReLER, Centre for Artificial Intelligence, University of Technology Sydney; University of Texas, Austin
Conference: nips 2021 (main track)
Keywords: Few-Shot Segmentation;Few-Shot Learning;Transformer
Decision: Poster
Title: Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
Authors: Juntang Zhuang, Yifan Ding, Tommy Tang, Nicha Dvornek, Sekhar C Tatikonda, James Duncan
Affiliations: University of Illinois at Urbana-Champaign; Yale University; University of Central Florida
Conference: nips 2021 (main track)
Keywords: momentum centering;asynchronous update;adaptive optimizer
Decision: Poster
Title: Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning
Authors: Yifan Zhang, Bryan Hooi, Dapeng Hu, Jian Liang, Jiashi Feng
Affiliations: National University of Singapore; Chinese Academy of Sciences; SEA AI Lab
Conference: nips 2021 (main track)
Keywords: Transfer Learning;Self-Supervised Learning;Contrastive Learning
Decision: Poster
Title: Multiwavelet-based Operator Learning for Differential Equations
Authors: Gaurav Gupta, Xiongye Xiao, Paul Bogdan
Affiliations: Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089
Conference: nips 2021 (main track)
Keywords: Neural operators;multiwavelet transform;partial differential equations
Decision: Spotlight
Title: Information-theoretic generalization bounds for black-box learning algorithms
Authors: Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan
Affiliations: University of Illinois Urbana-Champaign; USC Information Sciences Institute
Conference: nips 2021 (main track)
Keywords: generalization;information theory;deep learning theory;stability;memorization
Decision: Poster
Title: Deep Explicit Duration Switching Models for Time Series
Authors: Abdul Fatir Ansari, Konstantinos Benidis, Richard Kurle, Ali Caner Turkmen, Harold Soh, Alexander Smola, Bernie Wang, Tim Januschowski
Affiliations: National University of Singapore; Amazon Research
Conference: nips 2021 (main track)
Keywords: state space models;switching dynamical systems;explicit duration models;time series;segmentation;forecasting
Decision: Poster
Title: Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation
Authors: Souvik Kundu, Qirui Sun, Yao Fu, Massoud Pedram, Peter Beerel
Affiliations: Electrical and Computer Engineering, University of Southern California, Los Angeles, CA 90089
Conference: nips 2021 (main track)
Keywords: Model confidentiality;Data Privacy;DNN Poisoning;Knowledge Distillation;Model IP protection;Data-free distillation
Decision: Poster
Title: A Contrastive Learning Approach for Training Variational Autoencoder Priors
Authors: Jyoti Aneja, Alex Schwing, Jan Kautz, Arash Vahdat
Affiliations: University of Illinois at Urbana-Champaign; NVIDIA
Conference: nips 2021 (main track)
Keywords: Variational Autoencoders;Noise Contrastive Estimation;Sampling
Decision: Poster
Title: Estimating the Unique Information of Continuous Variables
Authors: Ari Pakman, Amin Nejatbakhsh, Dar Gilboa, Abdullah Makkeh, Luca Mazzucato, Michael Wibral, Elad Schneidman
Affiliations: Georg August University; Columbia University; Harvard University; Weizmann Institute; University of Oregon
Conference: nips 2021 (main track)
Keywords: Recurrent Neural Networks;Partial Information Decomposition
Decision: Poster
Title: Seasons in Drift: A Long Term Thermal Imaging Dataset for Studying Concept Drift
Affiliations: Visual Analysis and Perception Lab, Aalborg University, Aalborg, Denmark; Research, Milestone Systems, Brøndby, Denmark; Visual Analysis and Perception Lab, Aalborg University, Aalborg, Denmark
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: long-term dataset;large dataset;thermal imaging;concept drift;anomaly detection;object detection
Decision: Poster
Title: On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources
Authors: Trung Phung, Trung Le, Tung-Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung
Affiliations: Monash University, Australia; VinAI Research, Vietnam; VinAI Research, Vietnam and Monash University, Australia
Conference: nips 2021 (main track)
Keywords: Domain generalization;domain adaptation;transfer learning;multiple-source domain adaptation;machine learning;deep learning
Decision: Poster
Title: CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Authors: Guhyun Kim, Doo Seok Jeong
Affiliations: Division of Materials Science and Engineering, Hanyang University, Republic of Korea
Conference: nips 2021 (main track)
Keywords: backpropagation with constraints;weight quantization;pseudo-Lagrange multiplier method;learning
Decision: Poster
Title: Learning Generative Vision Transformer with Energy-Based Latent Space for Saliency Prediction
Authors: Jing Zhang, Jianwen Xie, Nick Barnes, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research; The Australian National University
Conference: nips 2021 (main track)
Keywords: Salient object detection;Generative vision transformer;Energy-based model;Langevin dynamics
Decision: Poster
Title: On the Convergence of Step Decay Step-Size for Stochastic Optimization
Authors: Xiaoyu Wang, Sindri Magnússon, Mikael Johansson
Affiliations: KTH - Royal Institute of Technology, Stockholm, Sweden; Stockholm University, Stockholm, Sweden
Conference: nips 2021 (main track)
Keywords: Stochastic gradient descent;step-decay step-size;non-asymptotic convergence;machine learning
Decision: Poster
Title: Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition
Authors: Yulin Wang, Rui Huang, Shiji Song, Zeyi Huang, Gao Huang
Affiliations: Department of Automation, BNRist, Tsinghua University, Beijing, China; Department of Automation, BNRist, Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China; Huawei Technologies Ltd., China
Conference: nips 2021 (main track)
Keywords: Vision Transformer;Efficient Inference;Image Recognition
Decision: Poster
Title: Online Convex Optimization with Continuous Switching Constraint
Authors: Guanghui Wang, Yuanyu Wan, Tianbao Yang, Lijun Zhang
Affiliations: Department of Computer Science, The University of Iowa, Iowa City, USA; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Peng Cheng Laboratory, Shenzhen, Guangdong, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2021 (main track)
Keywords: Online convex optimization;Continuous switching constraint
Decision: Poster
Title: Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning
Authors: Aakash Kaku, Sahana Upadhya, Narges Razavian
Affiliations: Center for Data Science, New York University, New York, NY 10011; Department of Computer Science, Courant Institute of Mathematical Sciences, New York, NY 10011; Departments of Population Health and Radiology, NYU Grossman School of Medicine and NYU Center for Data Science, New York, NY 10016
Conference: nips 2021 (main track)
Keywords: Deep learning;Self-supervised learning;MoCo;Momentum contrastive self supervised learning;Histopathology;Chest Xray;Diabetic Retinopathy;Medical imaging
Decision: Poster
Title: Identity testing for Mallows model
Authors: Róbert Busa-Fekete, Dimitris Fotakis, Balazs Szorenyi, Emmanouil Zampetakis
Affiliations: Google Research, New York, USA; National Technical University of Athens, Greece; Yahoo! Research New York, USA; Department of Statistics, University of California, Berkeley, USA
Conference: nips 2021 (main track)
Keywords: Identity testing;Mallows model;hypothesis testing
Decision: Poster
Title: The CPD Data Set: Personnel, Use of Force, and Complaints in the Chicago Police Department
Affiliations: ArbiLex; Department of Statistics, University of British Columbia; Gould School of Law, University of Southern California; LIDS, MIT; CSAIL, MIT
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Chicago;Use of Force;Complaints;Police Misconduct;Network Analysis;Spatiotemporal Analysis
Decision: Poster
Title: Impression learning: Online representation learning with synaptic plasticity
Authors: Colin Bredenberg, Benjamin Lyo, Eero Simoncelli, Cristina Savin
Affiliations: Center for Neural Science, New York University; Center for Neural Science, New York University; Flatiron Institute, Simons Foundation; Center for Neural Science, Center for Data Science, New York University
Conference: nips 2021 (main track)
Keywords: computational neuroscience;probabilistic computation;synaptic plasticity;neural sampling;Wake-Sleep
Decision: Poster
Title: Nonparametric estimation of continuous DPPs with kernel methods
Authors: Michaël Fanuel, Rémi Bardenet
Affiliations: Université de Lille, CNRS, Centrale Lille UMR 9189 – CRIStAL, F-59000 Lille, France
Conference: nips 2021 (main track)
Keywords: determinantal point processes;kernel methods
Decision: Poster
Title: Why Spectral Normalization Stabilizes GANs: Analysis and Improvements
Authors: Zinan Lin, Vyas Sekar, Giulia Fanti
Affiliations: Carnegie Mellon University, Pittsburgh, PA 15213, zinanl@andrew.cmu.edu; Carnegie Mellon University, Pittsburgh, PA 15213, vsekar@andrew.cmu.edu; Carnegie Mellon University, Pittsburgh, PA 15213, gfanti@andrew.cmu.edu
Conference: nips 2021 (main track)
Keywords: spectral normalization;generative adversarial networks
Decision: Poster
Title: Sparse Training via Boosting Pruning Plasticity with Neuroregeneration
Authors: Shiwei Liu, Tianlong Chen, Xiaohan Chen, Zahra Atashgahi, Lu Yin, Huanyu Kou, Li Shen, Mykola Pechenizkiy, Zhangyang Wang, Decebal Constantin Mocanu
Affiliations: University of Leeds; University of Texas at Austin; JD Explore Academy; Eindhoven University of Technology; University of Twente
Conference: nips 2021 (main track)
Keywords: Pruning Plasticity;sparse training;pruning during training;gradual pruning;dynamic sparse training;Neuroregeneration
Decision: Poster
Title: Information is Power: Intrinsic Control via Information Capture
Authors: Nicholas Rhinehart, Jenny Wang, Glen Berseth, John Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
Affiliations: Stanford University; University of Toronto, Google Research, Brain Team; UC Berkeley
Conference: nips 2021 (main track)
Keywords: intrinsic motivation;latent state-space models;deep reinforcement learning;intrinsic control;world models
Decision: Poster
Title: A Kernel-based Test of Independence for Cluster-correlated Data
Authors: Hongjiao Liu, Anna Plantinga, Yunhua Xiang, Michael Wu
Affiliations: Public Health Sciences Division, Fred Hutchinson Cancer Research Center; Department of Biostatistics, University of Washington; Department of Mathematics and Statistics, Williams College
Conference: nips 2021 (main track)
Keywords: multivariate analysis;kernel methods;independence test;correlated data
Decision: Poster
Title: Combiner: Full Attention Transformer with Sparse Computation Cost
Authors: Hongyu Ren, Hanjun Dai, Zihang Dai, Mengjiao (Sherry) Yang, Jure Leskovec, Dale Schuurmans, Bo Dai
Affiliations: Stanford University; Google Research, Brain Team
Conference: nips 2021 (main track)
Keywords: Transformer;long sequence modeling;conditional expectation factorization;full attention
Decision: Spotlight
Title: Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions
Affiliations: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Department of Electrical Engineering, City University of Hong Kong, China; Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore
Conference: nips 2021 (Datasets & Benchmarks track)
Keywords: Robustness
Decision: Poster
Title: A Domain-Shrinking based Bayesian Optimization Algorithm with Order-Optimal Regret Performance
Authors: Sudeep Salgia, Sattar Vakili, Qing Zhao
Affiliations: School of Electrical and Computer Engineering, Cornell University, Ithaca, NY; MediaTek Research, UK
Conference: nips 2021 (main track)
Keywords: Gaussian Process Bandit;Bayesian Optimization;Kernelized Model;RKHS;Optimal Regret Bounds
Decision: Poster
Title: Universal Graph Convolutional Networks
Authors: Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han
Affiliations: School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing, China; Department of Computer Science, University of Illinois at Urbana-Champaign, Champaign, IL, USA; College of Intelligence and Computing, Tianjin University, Tianjin, China
Conference: nips 2021 (main track)
Keywords: Graph Convolutional Networks;Homophily Assumption;Propagation Mechanism
Decision: Poster
Title: Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization
Authors: Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu
Affiliations: Applied Machine Learning, Facebook AI, Menlo Park, CA, USA; Department of Computer Science, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Conference: nips 2021 (main track)
Keywords: Bayesian optimization;acquisition function;few-shot learning;reinforcement learning
Decision: Poster
Title: Self-Supervised GANs with Label Augmentation
Authors: Liang Hou, Huawei Shen, Qi Cao, Xueqi Cheng
Affiliations: Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Data Intelligence System Research Center, Institute of Computing Technology, Chinese Academy of Sciences; CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: nips 2021 (main track)
Keywords: generative adversarial networks;self-supervised learning;label augmentation
Decision: Poster
Title: Detecting Anomalous Event Sequences with Temporal Point Processes
Authors: Oleksandr Shchur, Ali Caner Turkmen, Tim Januschowski, Jan Gasthaus, Stephan Günnemann
Affiliations: Technical University of Munich; Amazon Research
Conference: nips 2021 (main track)
Keywords: temporal point processes;out-of-distribution detection;anomaly detection;event data;generative models
Decision: Poster
Title: Meta-learning with an Adaptive Task Scheduler
Authors: Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
Affiliations: Pennsylvania State University; University of Science and Technology; City University of Hong Kong; Stanford University; Tencent AI Lab
Conference: nips 2021 (main track)
Keywords: adaptive task scheduler;meta-learning;sampling
Decision: Poster
Title: Uncertainty-Driven Loss for Single Image Super-Resolution
Authors: Qian Ning, Weisheng Dong, Xin Li, Jinjian Wu, GUANGMING Shi
Affiliations: Lane Dep. of CSEE, West Virginia University, Morgantown WV 26506, USA; School of Artiﬁcial Intelligence, Xidian University, Xi’an 710071, China
Conference: nips 2021 (main track)
Keywords: Uncertainty-Driven Loss;Uncertainty Learning;Single Image Super-Resolution
Decision: Poster
Title: Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation
Authors: Jungbeom Lee, Jooyoung Choi, Jisoo Mok, Sungroh Yoon
Affiliations: Department of Electrical and Computer Engineering, Seoul National University; Interdisciplinary Program in Artiﬁcial Intelligence, Seoul National University; Department of Electrical and Computer Engineering, Seoul National University
Conference: nips 2021 (main track)
Keywords: semantic segmentation;weakly supervised learning;computer vision
Decision: Poster
Title: It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems
Authors: Regev Cohen, Yochai Blau, Daniel Freedman, Ehud Rivlin
Affiliations: Google Research, Israel; Verily Research, Israel
Conference: nips 2021 (main track)
Keywords: Inverse solutions;denoising;regularization;deep learning
Decision: Poster
Title: Long-Short Transformer: Efficient Transformers for Language and Vision
Authors: Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, Bryan Catanzaro
Affiliations: University of Maryland, College Park; NVIDIA, Arizona State University; NVIDIA; NVIDIA, California Institute of Technology
Conference: nips 2021 (main track)
Keywords: Efficient Transformer;Long-sequence Modeling;Language Models;Vision Transformer
Decision: Poster
Title: Learning to Select Exogenous Events for Marked Temporal Point Process
Authors: Ping Zhang, Rishabh Iyer, Ashish Tendulkar, Gaurav Aggarwal, Abir De
Affiliations: UT Dallas; IIT Bombay; Google Inc.
Conference: nips 2021 (main track)
Keywords: Temporal point process;time series;event selection
Decision: Poster
Title: OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression
Authors: Chen Zhang, Shifeng Zhang, Fabio Maria Carlucci, Zhenguo Li
Affiliations: Huawei Noah’s Ark Lab; Work done during employment at Huawei Technologies R&D UK
Conference: nips 2021 (main track)
Keywords: Deep Generative Models;Lossless Compression
Decision: Poster
Title: Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
Authors: shaogao lv, Junhui Wang, Jiankun Liu, Yong Liu
Affiliations: Nanjing Audit University; Gaoling School of Artiﬁcial Intelligence, Renmin University of China, Beijing, China; Institute of Information Engineering, Chinese Academy of Sciences; City University of Hong Kong
Conference: nips 2021 (main track)
Keywords: Learning theory;Lasso-type SVM;Excess risk;Multi-kernel learning
Decision: Spotlight
Title: No Regrets for Learning the Prior in Bandits
Authors: Soumya Basu, Branislav Kveton, Manzil Zaheer, Csaba Szepesvari
Affiliations: Google; DeepMind / University of Alberta; Google Research
Conference: nips 2021 (main track)
Keywords: multi-armed bandits;meta-learning;Thompson sampling;online learning
Decision: Poster
Title: Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning
Authors: Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai
Affiliations: Salesforce Research; UIUC
Conference: nips 2021 (main track)
Keywords: reinforcement learning theory;offline RL;online RL;policy finetuning
Decision: Poster
Title: Near-Optimal Offline Reinforcement Learning via Double Variance Reduction
Authors: Ming Yin, Yu Bai, Yu-Xiang Wang
Affiliations: Salesforce Research; Department of Computer Science, UC Santa Barbara; Department of Computer Science, UC Santa Barbara and Department of Statistics and Applied Probability, UC Santa Barbara
Conference: nips 2021 (main track)
Keywords: Theory;Reinforcement Learning Theory;Markov Decision Process Theory
Decision: Poster
Title: Fast Training Method for Stochastic Compositional Optimization Problems
Authors: Hongchang Gao, Heng Huang
Affiliations: Department of Electrical and Computer Engineering, University of Pittsburgh, PA, USA; Department of Computer and Information Sciences, Temple University, PA, USA
Conference: nips 2021 (main track)
Keywords: Decentralized optimization;stochastic compositional optimization problem;model-agnostic meta-learning
Decision: Poster
Title: Adversarial Robustness without Adversarial Training: A Teacher-Guided Curriculum Learning Approach
Authors: Anindya Sarkar, Anirban Sarkar, Sowrya Gali, Vineeth N Balasubramanian
Affiliations: Indian Institute of Technology, Hyderabad
Conference: nips 2021 (main track)
Keywords: Adversarial Robustness;Inner Maximization;Outer Minimization;Attribution Map;Curriculum Learning
Decision: Poster
Title: Strategic Behavior is Bliss: Iterative Voting Improves Social Welfare
Authors: Joshua Kavner, Lirong Xia
Affiliations: Department of Computer Science, Rensselaer Polytechnic Institute, Troy, NY 12180
Conference: nips 2021 (main track)
Keywords: computational social choice;iterative voting;best-response dynamics;price of anarchy
Decision: Poster
Title: Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation
Authors: Soojung Yang, Doyeong Hwang, Seul Lee, Seongok Ryu, Sung Ju Hwang
Affiliations: AITRICS, KAIST; AITRICS, Currently at LG AI Research; AITRICS, Currently at Galux inc.; AITRICS, Currently at MIT; KAIST
Conference: nips 2021 (main track)
Keywords: Drug discovery;Molecule generation
Decision: Poster