hunoutl/paperlists huggingface dataset:
Title: D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Authors: Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. Castro Neto, Kostya Novoselov, shuicheng YAN
Affiliations: SEA AI Lab, National University of Singapore; School of Computing, National University of Singapore; Centre for Advanced 2D Materials, National University of Singapore; Institute for Functional Intelligent Materials, National University of Singapore
Conference: iclr 2023 (main track)
Keywords: AI for Science;Quantum Chemisty;Density Functional Theory;Deep Learning;Kohn-Sham Equation.
Decision: Top-25%
Title: A Holistic View of Label Noise Transition Matrix in Deep Learning and Beyond
Authors: LIN Yong, Renjie Pi, WEIZHONG ZHANG, Xiaobo Xia, JIAHUI GAO, Xiao Zhou, Tongliang Liu, Bo Han
Affiliations: Fudan University; The University of Hong Kong; Hong Kong Baptist University; The Hong Kong University of Science and Technology; Sydney AI Centre, The University of Sydney
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: A Higher Precision Algorithm for Computing the $1$-Wasserstein Distance
Authors: Pankaj Agarwal, Sharath Raghvendra, Pouyan Shirzadian, Rachita Sowle
Affiliations: Duke University; Virginia Tech
Conference: iclr 2023 (main track)
Keywords: Wasserstein Distance;Earth Movers Distance;Bipartite Matching
Decision: Top-25%
Title: Exploring and Exploiting Decision Boundary Dynamics for Adversarial Robustness
Authors: Yuancheng Xu, Yanchao Sun, Micah Goldblum, Tom Goldstein, Furong Huang
Affiliations: University of Maryland, College Park; New York University
Conference: iclr 2023 (main track)
Keywords: Adversarial Robustness;margin maximization;dynamical system
Decision: Poster
Title: Sampling-based inference for large linear models, with application to linearised Laplace
Authors: Javier Antorán, Shreyas Padhy, Riccardo Barbano, Eric Nalisnick, David Janz, José Miguel Hernández Lobato
Affiliations: University of Cambridge; University College London; University of Amsterdam; University of Alberta
Conference: iclr 2023 (main track)
Keywords: Laplace;linearised Laplace;Bayesian neural network;Bayesian linear regression;uncertainty estimation;Bayesian deep learning;EM;large scale regression;sample then optimise;evidence framework
Decision: Poster
Title: Understanding Why Generalized Reweighting Does Not Improve Over ERM
Authors: Runtian Zhai, Chen Dan, Zico Kolter, Pradeep K Ravikumar
Affiliations: Carnegie Mellon University
Conference: iclr 2023 (main track)
Keywords: Distribution shift;Subpopulation shift;Implicit bias;Generalization;Overparameterization
Decision: Poster
Title: Do We Really Need Complicated Model Architectures For Temporal Networks?
Authors: Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi
Affiliations: Penn State; University of Illinois at Urbana-Champaign; Meta
Conference: iclr 2023 (main track)
Keywords: temporal graph;link prediction
Decision: Top-5%
Title: What Do Self-Supervised Vision Transformers Learn?
Authors: Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun
Affiliations: NAVER AI Lab; Prescient Design, Genentech
Conference: iclr 2023 (main track)
Keywords: contrastive learning;masked image modeling;vision transformer;representation learning;self-supervised learning;empirical analysis
Decision: Poster
Title: Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation
Authors: Maksym Yatsura, Kaspar Sakmann, Grace Hua, Matthias Hein, Jan Hendrik Metzen
Affiliations: Bosch Center for Artificial Intelligence, Robert Bosch GmbH; University of Tübingen; University of Tübingen; Tübingen AI Center; Bosch Center for Artificial Intelligence, Robert Bosch GmbH
Conference: iclr 2023 (main track)
Keywords: certified defences;adversarial robustness;adversarial patch attacks
Decision: Poster
Title: Transfer Learning with Deep Tabular Models
Authors: Roman Levin, Valeriia Cherepanova, Avi Schwarzschild, Arpit Bansal, C. Bruss, Tom Goldstein, Andrew Wilson, Micah Goldblum
Affiliations: New York University; Capital One; University of Washington; University of Maryland
Conference: iclr 2023 (main track)
Keywords: tabular data;transfer learning;tabular models;representation learning
Decision: Poster
Title: Latent State Marginalization as a Low-cost Approach for Improving Exploration
Authors: Dinghuai Zhang, Aaron Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen
Affiliations: Mila, University de Montreal (Work done during an internship at Meta AI); Mila, University de Montreal; Meta AI (FAIR)
Conference: iclr 2023 (main track)
Keywords: MaxEnt RL;latent variable modeling;world models
Decision: Poster
Title: Safe Reinforcement Learning From Pixels Using a Stochastic Latent Representation
Authors: Yannick Hogewind, Thiago D. Simão, Tal Kachman, Nils Jansen
Affiliations: Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen; Radboud University, Nijmegen
Conference: iclr 2023 (main track)
Keywords: safety;reinforcement learning;safe reinforcement learning;constrained Markov decision process;partially observable Markov decision process;MDP;POMDP
Decision: Poster
Title: Distributed Extra-gradient with Optimal Complexity and Communication Guarantees
Authors: Ali Ramezani-Kebrya, Kimon Antonakopoulos, Igor Krawczuk, Justin Deschenaux, Volkan Cevher
Affiliations: Department of Informatics, University of Oslo. Work performed at EPFL (LIONS) and Aalborg University.; Laboratory for Information and Inference Systems (LIONS), EPFL.
Conference: iclr 2023 (main track)
Keywords: Unbiased Quantization;Variational Inequality;Extra-gradient;Adaptive Sep-size
Decision: Poster
Title: On the Word Boundaries of Emergent Languages Based on Harris's Articulation Scheme
Authors: Ryo Ueda, Taiga Ishii, Yusuke Miyao
Affiliations: The University of Tokyo
Conference: iclr 2023 (main track)
Keywords: Emergent Communication;Emergent Language;Unsupervised Word Segmentation;Harris's Articulation Scheme;Compositionality
Decision: Poster
Title: Canary in a Coalmine: Better Membership Inference with Ensembled Adversarial Queries
Authors: Yuxin Wen, Arpit Bansal, hamid kazemi, Eitan Borgnia, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: University of Chicago; University of Maryland; New York University
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Bridging the Gap to Real-World Object-Centric Learning
Authors: Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schoelkopf, Thomas Brox, Francesco Locatello
Affiliations: Amazon Web Services; Department of Computer Science, ETH Zürich; Max-Planck Institute for Intelligent Systems, Tübingen, Germany
Conference: iclr 2023 (main track)
Keywords: object discovery;object-centric learning;vision transformer;self-supervised learning;unsupervised learning
Decision: Poster
Title: Part-Based Models Improve Adversarial Robustness
Authors: Chawin Sitawarin, Kornrapat Pongmala, Yizheng Chen, Nicholas Carlini, David Wagner
Affiliations: EECS Department, University of California, Berkeley; Google
Conference: iclr 2023 (main track)
Keywords: adversarial robustness;adversarial examples;computer vision;part-based model
Decision: Poster
Title: Noise-Robust De-Duplication at Scale
Authors: Emily Silcock, Luca D'Amico-Wong, Jinglin Yang, Melissa Dell
Affiliations: Department of Economics, Harvard University; Cambridge, MA, USA.; Harvard College; Cambridge, MA, USA.; Department of Economics, Harvard University and NBER; Cambridge, MA, USA.; Department of Economics, University of California Berkeley; Berkeley, CA, USA.
Conference: iclr 2023 (main track)
Decision: Poster
Title: A new characterization of the edge of stability based on a sharpness measure aware of batch gradient distribution
Authors: Sungyoon Lee, Cheongjae Jang
Affiliations: Hanyang University, Seoul
Conference: iclr 2023 (main track)
Keywords: edge of stability;SGD;learning rate;batch size;optimization;generalization;implicit bias;implicit regularization;sharpness;scaling rule
Decision: Poster
Title: ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure
Authors: Hee Suk Yoon, Joshua Tian Jin Tee, Eunseop Yoon, Sunjae Yoon, Gwangsu Kim, Yingzhen Li, Chang Yoo
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Imperial College London
Conference: iclr 2023 (main track)
Keywords: calibration
Decision: Poster
Title: Quality-Similar Diversity via Population Based Reinforcement Learning
Authors: Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, QIANG FU, Yang Wei
Affiliations: Tencent AI Lab, Shenzhen, China; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Peking University, Beijing, China
Conference: iclr 2023 (main track)
Keywords: quality diversity;reinforcement learning;user-defined;population
Decision: Poster
Title: The Power of Regularization in Solving Extensive-Form Games
Authors: Mingyang Liu, Asuman Ozdaglar, Tiancheng Yu, Kaiqing Zhang
Affiliations: University of Maryland, College Park; Institute for Interdisciplinary Information Sciences, Tsinghua University; LIDS, EECS, Massachusetts Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Game Theory;Optimization
Decision: Poster
Title: Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games
Authors: Shicong Cen, Yuejie Chi, Simon Du, Lin Xiao
Affiliations: University of Washington; Carnegie Mellon University; Meta AI Research
Conference: iclr 2023 (main track)
Keywords: zero-sum Markov game;entropy regularization;policy optimization;global convergence;multiplicative updates
Decision: Poster
Title: More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity
Authors: Shiwei Liu, Tianlong Chen, Xiaohan Chen, Xuxi Chen, Qiao Xiao, Boqian Wu, Tommi Kärkkäinen, Mykola Pechenizkiy, Decebal Constantin Mocanu, Zhangyang Wang
Affiliations: University of Jyvaskyla; University of Texas at Austin; Eindhoven University of Technology
Conference: iclr 2023 (main track)
Keywords: 51x51 kernel;Large kernel convolution;convolutional neural networks;sparsity;backbone
Decision: Poster
Title: FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy
Authors: Yan Sun, Li Shen, Tiansheng Huang, Liang Ding, Dacheng Tao
Affiliations: JD Explore Academy & The University of Sydney; Georgia Institute of Technology; JD Explore Academy; The University of Sydney
Conference: iclr 2023 (main track)
Keywords: federated learning
Decision: Poster
Title: ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Authors: Jiayuan Gu, Fanbo Xiang, Xuanlin Li, Zhan Ling, Xiqiang Liu, Tongzhou Mu, Yihe Tang, Stone Tao, Xinyue Wei, Yunchao Yao, Xiaodi Yuan, Pengwei Xie, Zhiao Huang, Rui Chen, Hao Su
Affiliations: University of California San Diego; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: object manipulation;benchmark;computer vision;robotics;reinforcement learning
Decision: Poster
Title: Decoupled Training for Long-Tailed Classification With Stochastic Representations
Authors: Giung Nam, Sunguk Jang, Juho Lee
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), AITRICS; AITRICS; Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2023 (main track)
Keywords: long-tailed learning;stochastic weight averaging
Decision: Poster
Title: Ask Me Anything: A simple strategy for prompting language models
Authors: Simran Arora, Avanika Narayan, Mayee Chen, Laurel Orr, Neel Guha, Kush Bhatia, Ines Chami, Christopher Re
Affiliations: Stanford University; Numbers Station AI
Conference: iclr 2023 (main track)
Keywords: large language models;prompt-engineering;in-context learning
Decision: Top-25%
Title: Adversarial Imitation Learning with Preferences
Authors: Aleksandar Taranovic, Andras Kupcsik, Niklas Freymuth, Gerhard Neumann
Affiliations: Autonomous Learning Robots Lab, Karlsruhe Institute of Technology, Karlsruhe, Germany; Bosch Center for Artificial Intelligence, Renningen, Germany
Conference: iclr 2023 (main track)
Keywords: preference learning;learning from demonstration;adversarial imitation learning
Decision: Poster
Title: Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples
Authors: Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen
Affiliations: Independent Researcher; Harbin Institute of Technology, Tencent Security Big Data Lab; UC Davis; Harbin Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Adversarial Examples;Black-box Attacks;Adversarial Transferability
Decision: Poster
Title: Harnessing Out-Of-Distribution Examples via Augmenting Content and Style
Authors: Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
Affiliations: The University of Melbourne; JD Explore Academy; Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology; Department of Computer Science, Hong Kong Baptist University; Sydney AI Centre, The University of Sydney
Conference: iclr 2023 (main track)
Keywords: out-of-distribution;open-set learning
Decision: Poster
Title: A view of mini-batch SGD via generating functions: conditions of convergence, phase transitions, benefit from negative momenta.
Authors: Maksim Velikanov, Denis Kuznedelev, Dmitry Yarotsky
Affiliations: Skoltech, Yandex Research; Skoltech; Technology Innovation Institute, CMAP, Ecole Polytechnique
Conference: iclr 2023 (main track)
Keywords: SGD;linear models;optimization;analytic framework;NTK
Decision: Poster
Title: Fisher-Legendre (FishLeg) optimization of deep neural networks
Authors: Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
Affiliations: MediaTek Research, Cambourne Business Park, CB23 6DW, UK; Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, UK
Conference: iclr 2023 (main track)
Keywords: Second-order optimization;Natural Gradient;Deep Learning;Meta-learning;Fisher information;Legendre-Fenchel duality
Decision: Top-25%
Title: Efficient Planning in a Compact Latent Action Space
Authors: Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktaeschel, Edward Grefenstette, Yuandong Tian
Affiliations: Cornell University; University of California, Berkeley; University College London; Meta AI (FAIR)
Conference: iclr 2023 (main track)
Keywords: Model-based RL;Planning;Sequence Modelling RL;Generative Model;Offline Reinforcement Learning
Decision: Poster
Title: RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates
Authors: Laurent Condat, Peter Richtarik
Affiliations: Visual Computing Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia
Conference: iclr 2023 (main track)
Keywords: optimization;randomized algorithm;stochastic algorithm;proximal splitting;proximity operator
Decision: Poster
Title: A Unified Framework for Soft Threshold Pruning
Authors: Yanqi Chen, Zhengyu Ma, Wei Fang, Xiawu Zheng, Zhaofei Yu, Yonghong Tian
Affiliations: Peng Cheng Laboratory; National Engineering Research Center of Visual Technology, School of Computer Science, Peking University; Peng Cheng Laboratory; National Engineering Research Center of Visual Technology, School of Computer Science, Peking University; Institute for Artificial Intelligence, Peking University; Peng Cheng Laboratory
Conference: iclr 2023 (main track)
Keywords: Network Pruning;Network Compression;Spiking Neural Networks
Decision: Poster
Title: Learning to Grow Pretrained Models for Efficient Transformer Training
Authors: Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim
Affiliations: University of Texas at Austin; MIT-IBM Watson AI Lab; MIT; Columbia University
Conference: iclr 2023 (main track)
Keywords: Transformer;Efficient Training;Model Reuse
Decision: Top-25%
Title: Language Models are Realistic Tabular Data Generators
Authors: Vadim Borisov, Kathrin Seßler, Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci
Affiliations: University of Tübingen, Tübingen, Germany; Technical University of Munich, Munich, Germany
Conference: iclr 2023 (main track)
Keywords: tabular data;tabular data generation;large language models;transformers;probabilistic modeling;deep neural networks
Decision: Poster
Title: LipsFormer: Introducing Lipschitz Continuity to Vision Transformers
Authors: Xianbiao Qi, Jianan Wang, Yihao Chen, Yukai Shi, Lei Zhang
Affiliations: International Digital Economy Academy (IDEA), Shenzhen, Guangdong, China.
Conference: iclr 2023 (main track)
Keywords: Lipschitz Continuity;Vision Transformer;Transformer
Decision: Poster
Title: Towards a Unified Theoretical Understanding of Non-contrastive Learning via Rank Differential Mechanism
Authors: Zhijian Zhuo, Yifei Wang, Jinwen Ma, Yisen Wang
Affiliations: School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Institute for Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Decision: Poster
Title: Memorization-Dilation: Modeling Neural Collapse Under Noise
Authors: Duc Anh Nguyen, Ron Levie, Julian Lienen, Eyke Hüllermeier, Gitta Kutyniok
Affiliations: LMU Munich; Technion, Israel Institute of Technology; Paderborn University; LMU Munich, University of Tromsø
Conference: iclr 2023 (main track)
Keywords: Neural collapse;feature representation;label smoothing;cross entropy
Decision: Poster
Title: Extracting Robust Models with Uncertain Examples
Authors: Guanlin Li, Guowen Xu, Shangwei Guo, Han Qiu, Jiwei Li, Tianwei Zhang
Affiliations: Shannon.AI, Zhejiang University; Chongqing University; Tsinghua University, Zhongguancun Laboratory; Nanyang Technological University, S-Lab, NTU; Nanyang Technological University
Conference: iclr 2023 (main track)
Decision: Poster
Title: DINO as a von Mises-Fisher mixture model
Authors: Hariprasath Govindarajan, Per Sidén, Jacob Roll, Fredrik Lindsten
Affiliations: Linköping University, Sweden and Qualcomm Technologies, Inc.; Qualcomm Technologies, Inc.; Linköping University, Sweden
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;vision transformers;mixture models
Decision: Top-25%
Title: On Representing Linear Programs by Graph Neural Networks
Authors: Ziang Chen, Jialin Liu, Xinshang Wang, Wotao Yin
Affiliations: Departments of Mathematics, Physics, and Chemistry, Duke University; Damo Academy, Alibaba US; Antai College of Economics and Management, Shanghai Jiao Tong University; Department of Mathematics, Duke University; Damo Academy, Alibaba US
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Mind the Pool: Convolutional Neural Networks Can Overfit Input Size
Authors: Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya
Affiliations: Voxel AI∗; Meta; Meta AI
Conference: iclr 2023 (main track)
Keywords: Convolutional Neural Networks;Pooling;Input Size;Overfitting
Decision: Poster
Title: Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning
Authors: Yat Long (Richie) Lo, Christian Schroeder de Witt, Samuel Sokota, Jakob Foerster, Shimon Whiteson
Affiliations: University of Oxford, Dyson Robot Learning Lab; Carnegie Mellon University; University of Oxford; FLAIR, University of Oxford
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Multi-Agent Reinforcement Learning
Decision: Poster
Title: TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second
Authors: Noah Hollmann, Samuel Müller, Katharina Eggensperger, Frank Hutter
Affiliations: University of Freiburg, Bosch Center for Artificial Intelligence; University of Freiburg, Charité University Medicine Berlin; University of Freiburg
Conference: iclr 2023 (main track)
Keywords: Tabular Data;AutoML;Green AI;Bayesian prediction;Causal Reasoning;Real-time Machine Learning
Decision: Top-25%
Title: Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
Authors: Linbo Liu, Youngsuk Park, Nghia Hoang, Hilaf Hasson, Jun Huan
Affiliations: AWS AI Labs; Washington State University
Conference: iclr 2023 (main track)
Keywords: Multivariate Timeseries Forecasting
Decision: Poster
Title: Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
Authors: Takeshi Koshizuka, Issei Sato
Affiliations: The University of Tokyo
Conference: iclr 2023 (main track)
Keywords: Population Dynamics;Trajectory Inference;Neural SDEs;Stochastic Optimal Transport;Schrödinger Bridge
Decision: Top-25%
Title: Neural Optimal Transport
Authors: Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
Affiliations: Skolkovo Institute of Science and Technology, Moscow, Russia; Skolkovo Institute of Science and Technology, Artificial Intelligence Research Institute, Moscow, Russia
Conference: iclr 2023 (main track)
Keywords: weak optimal transport;neural networks
Decision: Top-25%
Title: Arbitrary Virtual Try-on Network: Characteristics Representation and Trade-off between Body and Clothing
Authors: yu liu, Mingbo Zhao, Zhao Zhang, Jicong Fan, Yang Lou, shuicheng YAN
Affiliations: Donghua University, China; Hefei University of Technology, China; The Chinese University of Hong Kong, Shenzhen, China; Osaka University, Japan; Sea AI Lab, Singapore
Conference: iclr 2023 (main track)
Keywords: Deep Learning;Virtual Try-on;Generative Adversarial Networks;Artificial Intelligence in Fashion
Decision: Poster
Title: Certifiably Robust Policy Learning against Adversarial Multi-Agent Communication
Authors: Yanchao Sun, Ruijie Zheng, Parisa Hassanzadeh, Yongyuan Liang, Soheil Feizi, Sumitra Ganesh, Furong Huang
Affiliations: University of Maryland, College Park; JPMorgan AI Research; Shanghai AI Lab
Conference: iclr 2023 (main track)
Keywords: certifiable robustness;reinforcement learning;multi-agent system;adversarial communication;adversarial attack
Decision: Poster
Title: Efficient Conditionally Invariant Representation Learning
Authors: Roman Pogodin, Namrata Deka, Yazhe Li, Danica Sutherland, Victor Veitch, Arthur Gretton
Affiliations: DeepMind & Gatsby Unit, UCL; UBC & Amii; UBC; Gatsby Unit, UCL; UChicago & Google Brain
Conference: iclr 2023 (main track)
Keywords: conditional independence;kernel methods
Decision: Top-5%
Title: Multi-Objective Online Learning
Authors: Jiyan Jiang, Wenpeng Zhang, Shiji Zhou, Lihong Gu, Xiaodong Zeng, Wenwu Zhu
Affiliations: Ant Group, Hangzhou, China; Ant Group, Beijing, China; Tsinghua University, Beijing, China
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Is Forgetting Less a Good Inductive Bias for Forward Transfer?
Authors: Jiefeng Chen, Timothy Nguyen, Dilan Gorur, Arslan Chaudhry
Affiliations: DeepMind, Mountain View, CA; Department of Computer Science, University of Wisconsin-Madison, Madison, WI 53706, USA
Conference: iclr 2023 (main track)
Keywords: continual learning;transfer learning
Decision: Poster
Title: Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
Authors: Heshan Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen
Affiliations: IBM Thomas J. Watson Research Center; Rensselaer Polytechnic Institute
Conference: iclr 2023 (main track)
Keywords: Multi-objective Optimization;Machine Learning
Decision: Top-5%
Title: Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
Authors: Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
Affiliations: University of Toronto & Vector Institute; LG AI Research; University of Toronto
Conference: iclr 2023 (main track)
Keywords: Offline reinforcement learning;model-based reinforcement learning;model-based value expansion;Bayesian inference
Decision: Poster