hunoutl/paperlists huggingface dataset:
Title: An Equal-Size Hard EM Algorithm for Diverse Dialogue Generation
Authors: Yuqiao Wen, Yongchang Hao, Yanshuai Cao, Lili Mou
Affiliations: Borealis AI; Dept. Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta; Dept. Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta; Canada CIFAR AI Chair, Amii
Conference: iclr 2023 (main track)
Keywords: dialogue systems;diverse text generation;EM algorithm
Decision: Poster
Title: A Unified Algebraic Perspective on Lipschitz Neural Networks
Authors: Alexandre Araujo, Aaron Havens, Blaise Delattre, Alexandre Allauzen, Bin Hu
Affiliations: INRIA, Ecole Normale Supérieure, CNRS, PSL University, Paris, France; CSL & ECE, University of Illinois Urbana-Champaign, IL, USA; Miles Team, LAMSADE, Université Paris-Dauphine, PSL University, Paris, France
Conference: iclr 2023 (main track)
Keywords: Deep Learning;Lipschitz neural networks;Robustness
Decision: Top-25%
Title: MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
Authors: Bencheng Liao, Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Qian Zhang, Wenyu Liu, Chang Huang
Affiliations: Horizon Robotics; Institute of Artificial Intelligence, Huazhong University of Science & Technology; School of EIC, Huazhong University of Science & Technology
Conference: iclr 2023 (main track)
Keywords: Autonomous Driving;Online Vectorized HD Map Construction;End-to-End
Decision: Top-25%
Title: Systematic Rectification of Language Models via Dead-end Analysis
Authors: Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung, Samira Shabanian
Affiliations: Microsoft Research; Mila – Quebec AI Institute & McGill University
Conference: iclr 2023 (main track)
Keywords: Language Models;Detoxification;Dead-end Theory;Reinforcement Learning.
Decision: Poster
Title: Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Nets
Authors: Edo Cohen-Karlik, Itamar Menuhin, Raja Giryes, Nadav Cohen, Amir Globerson
Affiliations: Tel Aviv University & Google Research; Tel Aviv University
Conference: iclr 2023 (main track)
Keywords: RNN;gradient descent;implicit bias;extrapolation
Decision: Poster
Title: On the duality between contrastive and non-contrastive self-supervised learning
Authors: Quentin Garrido, Yubei Chen, Adrien Bardes, Laurent Najman, Yann LeCun
Affiliations: Univ Gustave Eiffel, CNRS, LIGM, F-77454 Marne-la-Vallée, France; Meta AI - FAIR, Univ Gustave Eiffel, CNRS, LIGM, F-77454 Marne-la-Vallée, France; Meta AI - FAIR, Courant Institute, New York University, Center for Data Science, New York University; Meta AI - FAIR, Center for Data Science, New York University; Meta AI - FAIR, Inria, Ecole normale supérieure, CNRS, PSL Research University
Conference: iclr 2023 (main track)
Keywords: Self-supervised learning;contrastive;non-contrastive
Decision: Top-5%
Title: Boosting the Cycle Counting Power of Graph Neural Networks with I$^2$-GNNs
Authors: Yinan Huang, Xingang Peng, Jianzhu Ma, Muhan Zhang
Affiliations: School of Intelligence Science and Techology, Peking University; Institute for AI Industry Research, Tsinghua University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Keywords: Graph neural networks
Decision: Poster
Title: Self-Supervised Set Representation Learning for Unsupervised Meta-Learning
Authors: Dong Bok Lee, Seanie Lee, Kenji Kawaguchi, Yunji Kim, Jihwan Bang, Jung-Woo Ha, Sung Ju Hwang
Affiliations: KAIST; National University of Singapore; NAVER
Conference: iclr 2023 (main track)
Keywords: Unsupervised Meta-Learning;Set Representation Learning;Self-Supervised Learning
Decision: Poster
Title: A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Authors: Qing Li, Siyuan Huang, Yining Hong, Yixin Zhu, Yingnian Wu, Song-Chun Zhu
Affiliations: National Key Laboratory of General Artificial Intelligence, BIGAI; Center for Vision, Cognition, Learning, and Autonomy (VCLA), UCLA; Institute for Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Keywords: Systematic Generalization;Concept Learning
Decision: Top-25%
Title: Coupled Multiwavelet Operator Learning for Coupled Differential Equations
Authors: Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
Affiliations: University of Maryland, College Park, MD 20742, USA; University of Southern California, Los Angeles, CA 90089, USA
Conference: iclr 2023 (main track)
Keywords: Neural operators;coupled differential equations;multiwavelet transform;partial differential equations
Decision: Poster
Title: Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Authors: Jie Ren, Jiaming Luo, Yao Zhao, Kundan Krishna, Mohammad Saleh, Balaji Lakshminarayanan, Peter Liu
Affiliations: Carnegie Mellon University, work done while at Google Research; Google Research
Conference: iclr 2023 (main track)
Keywords: Out-of-distribution Detection;Natural Language Generation;Selective Generation;Uncertainty
Decision: Top-25%
Title: 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction
Authors: Jiaqi Guan, Wesley Qian, Xingang Peng, Yufeng Su, Jian Peng, Jianzhu Ma
Affiliations: Department of Computer Science, University of Illinois Urbana-Champaign; Institute for AI industry Research, Tsinghua University; School of Intelligence Science and Technology, Peking University
Conference: iclr 2023 (main track)
Decision: Poster
Title: DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
Authors: Gabriele Corso, Hannes Stärk, Bowen Jing, Regina Barzilay, Tommi Jaakkola
Affiliations: CSAIL, Massachusetts Institute of Technology
Conference: iclr 2023 (main track)
Keywords: molecular docking;protein-ligand binding;diffusion models;score-based models;molecular structure;equivariance;geometric deep learning
Decision: Poster
Title: Warping the Space: Weight Space Rotation for Class-Incremental Few-Shot Learning
Authors: Do-Yeon Kim, Dong-Jun Han, Jun Seo, Jaekyun Moon
Affiliations: Korea Advanced Institute of Science & Technology; Purdue University; LG AI Research
Conference: iclr 2023 (main track)
Keywords: incremental few-shot learning;catastrophic forgetting;parameter space;weight space rotation
Decision: Top-25%
Title: Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation
Authors: Ziqi Wang, Yuexin Wu, Frederick Liu, Daogao Liu, Le Hou, Hongkun Yu, Jing Li, Heng Ji
Affiliations: University of Illinois Urbana-Champaign; Google; University of Washington
Conference: iclr 2023 (main track)
Keywords: Knowledge Distillation;Data Augmentation;Natural Language Processing
Decision: Poster
Title: Statistical Guarantees for Consensus Clustering
Authors: Zhixin Zhou, Gautam Dudeja, Arash Amini
Affiliations: University of California, Los Angeles; City University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: consensus clustering;unsupervised label aggregation;spectral clustering;barycenter problem;Frechet mean;semidefinite relaxation
Decision: Poster
Title: HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization
Authors: Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Lin, Liang He, Daxin Jiang
Affiliations: Microsoft Corporation, Beijing, China; Department of Computer Science, East China Normal University
Conference: iclr 2023 (main track)
Keywords: Uniformed Large-Scale Retrieval;Multi-Task hyper-prompted training;Retrieval Generalization
Decision: Poster
Title: UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
Authors: Hyung Won Chung, Xavier Garcia, Adam Roberts, Yi Tay, Orhan Firat, SHARAN NARANG, Noah Constant
Affiliations: Google Research
Conference: iclr 2023 (main track)
Keywords: Keywords: multilingual;pretraining;language models;language sampling;language distribution;low-resource languages;overfitting
Decision: Poster
Title: NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes
Authors: Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
Affiliations: Department of Electrical and Computer Engineering, University of Texas at Austin
Conference: iclr 2023 (main track)
Keywords: neural radiance field;self-supervised learning;object segmentation
Decision: Poster
Title: Self-Distillation for Further Pre-training of Transformers
Authors: Seanie Lee, Minki Kang, Juho Lee, Sung Ju Hwang, Kenji Kawaguchi
Affiliations: KAIST; National University of Singapore; KAIST, AITRICS
Conference: iclr 2023 (main track)
Keywords: self-distillation;adaptation of pre-trained models;regularization
Decision: Poster
Title: Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
Authors: Tom Zahavy, Yannick Schroecker, Feryal Behbahani, Kate Baumli, Sebastian Flennerhag, Shaobo Hou, Satinder Singh
Affiliations: DeepMind, London
Conference: iclr 2023 (main track)
Decision: Poster
Title: Bi-level Physics-Informed Neural Networks for PDE Constrained Optimization using Broyden's Hypergradients
Authors: Zhongkai Hao, Chengyang Ying, Hang Su, Jun Zhu, Jian Song, Ze Cheng
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint Center for ML, Tsinghua University; Dept. of EE, Tsinghua University; Bosch China Investment Ltd
Conference: iclr 2023 (main track)
Keywords: PINN;machine learning;bi-level optimization
Decision: Poster
Title: How to Train your HIPPO: State Space Models with Generalized Orthogonal Basis Projections
Authors: Albert Gu, Isys Johnson, Aman Timalsina, Atri Rudra, Christopher Re
Affiliations: Paper under double-blind review
Conference: iclr 2023 (main track)
Keywords: Deep learning;sequence model;state space model;S4;HiPPO
Decision: Poster
Title: Leveraging Double Descent for Scientific Data Analysis: Face-Based Social Behavior as a Case Study
Affiliations: Under double-blind review
Conference: iclr 2023 (main track)
Keywords: over-parameterized linear regression;double descent;generalization error;cross-task generalization;face perception;facial features;social decision making;attractiveness halo;beauty premium;beauty penalty;trustworthiness
Decision: Reject
Title: A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation
Authors: Edoardo Balzani, Jean-Paul Noel, Pedro Herrero-Vidal, Dora Angelaki, Cristina Savin
Affiliations: Center for Neural Science, Center for Data Science, New York University, New York, NY, 10003; Center for Neural Science, New York University, New York, NY, 10003
Conference: iclr 2023 (main track)
Keywords: neuroscience;dimensionality reduction;probabilistic methods;inter-area interactions
Decision: Top-25%
Title: Modeling content creator incentives on algorithm-curated platforms
Authors: Jiri Hron, Karl Krauth, Michael Jordan, Niki Kilbertus, Sarah Dean
Affiliations: TU Munich & Helmholtz Munich; Cornell University; University of Cambridge; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Nash equilibria;producer incentives;attention monetizing platforms;recommenders;differentiable games;exposure game
Decision: Top-5%
Title: Soft Neighbors are Positive Supporters in Contrastive Visual Representation Learning
Authors: Chongjian GE, Jiangliu Wang, Zhan Tong, Shoufa Chen, Yibing Song, Ping Luo
Affiliations: The University of Hong Kong; Tencent AI Lab; The Chinese University of Hong Kong; AI3Institute, Fudan University
Conference: iclr 2023 (main track)
Keywords: contrastive learning;soft neighbors;visual correlation
Decision: Poster
Title: Relative Behavioral Attributes: Filling the Gap between Symbolic Goal Specification and Reward Learning from Human Preferences
Authors: Lin Guan, Karthik Valmeekam, Subbarao Kambhampati
Affiliations: School of Computing & AI, Arizona State University, Tempe, AZ 85281, USA
Conference: iclr 2023 (main track)
Keywords: Neuro-Symbolic;Human-AI Interaction
Decision: Poster
Title: Binding Language Models in Symbolic Languages
Authors: Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah Smith, Tao Yu
Affiliations: The University of Hong Kong; University of Washington; Yale University; University of Waterloo; Shanghai Jiao Tong University; Salesforce Research
Conference: iclr 2023 (main track)
Keywords: semantic parsing;large language model;neural symbolic;code generation
Decision: Top-25%
Title: Learning topology-preserving data representations
Authors: Ilya Trofimov, Daniil Cherniavskii, Eduard Tulchinskii, Nikita Balabin, Evgeny Burnaev, Serguei Barannikov
Affiliations: Skolkovo Institute of Science and Technology; CNRS, Université Paris Cité; Skolkovo Institute of Science and Technology; Skolkovo Institute of Science and Technology; Huawei Noah’s Ark lab; Skolkovo Institute of Science and Technology; Artificial Intelligence Research Institute (AIRI)
Conference: iclr 2023 (main track)
Keywords: representation learning;dimensionality reduction;topological data analysis
Decision: Poster
Title: Efficient recurrent architectures through activity sparsity and sparse back-propagation through time
Authors: Anand Subramoney, Khaleelulla Khan Nazeer, Mark Schoene, Christian Mayr, David Kappel
Affiliations: Institute for Neural Computation, Ruhr University Bochum, Germany; Institute for Neural Computation, Ruhr University Bochum, Germany; Royal Holloway, University of London; Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany; Centre for Tactile Internet with Human-in-the-Loop (CeTI), Technische Universität Dresden, Dresden, Germany; Faculty of Electrical and Computer Engineering, Technische Universität Dresden, Dresden, Germany
Conference: iclr 2023 (main track)
Keywords: RNN;GRU;recurrent network;language modeling;dvs;gesture recognition;activity sparsity;efficiency
Decision: Top-25%
Title: Decompositional Generation Process for Instance-Dependent Partial Label Learning
Authors: Congyu Qiao, Ning Xu, Xin Geng
Affiliations: School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Conference: iclr 2023 (main track)
Keywords: partial label learning;weakly supervised learning;decompositional generation process
Decision: Top-25%
Title: Static Prediction of Runtime Errors by Learning to Execute Programs with External Resource Descriptions
Authors: David Bieber, Rishab Goel, Daniel Zheng, Hugo Larochelle, Daniel Tarlow
Affiliations: Mila; Google Research
Conference: iclr 2023 (main track)
Keywords: program analysis;graph neural networks;recurrent networks;attention mechanisms;source code;program execution
Decision: Poster
Title: When Data Geometry Meets Deep Function: Generalizing Offline Reinforcement Learning
Authors: Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China; Institute for AI Industry Research (AIR), Tsinghua University, Beijing, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China
Conference: iclr 2023 (main track)
Keywords: offline reinforcement learning;deep Q functions generalization
Decision: Poster
Title: Human MotionFormer: Transferring Human Motions with Vision Transformers
Authors: Hongyu Liu, Xintong Han, Cheng-Bin Jin, Lihui Qian, Huawei Wei, Zhe Lin, Faqiang Wang, Haoye Dong, Yibing Song, Jia Xu, Qifeng Chen
Affiliations: Huya Inc; Carnegie Mellon University; AI3Institute, Fudan University; Hong Kong University of Science and Technology; Tencent
Conference: iclr 2023 (main track)
Decision: Poster
Title: A Differential Geometric View and Explainability of GNN on Evolving Graphs
Authors: Yazheng Liu, Xi Zhang, Sihong Xie
Affiliations: Key Laboratory of Trustworthy Distributed Computing and Service (MoE), BUPT, Beijing, China; Department of Computer Science and Engineering, Lehigh University, Bethlehem, PA, USA
Conference: iclr 2023 (main track)
Decision: Poster
Title: Emergence of Maps in the Memories of Blind Navigation Agents
Authors: Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari Morcos, Dhruv Batra
Affiliations: FAIR, Meta AI; FAIR, Meta AI, Simon Fraser University; Georgia Institute of Technology, Google Research Atlanta; Oregon State University; Georgia Institute of Technology, FAIR, Meta AI
Conference: iclr 2023 (main track)
Keywords: embodied AI;navigation;characterizing representations
Decision: Top-5%
Title: Unsupervised Manifold Alignment with Joint Multidimensional Scaling
Authors: Dexiong Chen, Bowen Fan, Carlos Oliver, Karsten Borgwardt
Affiliations: Department of Biosystems Science and Engineering, ETH Zürich, Switzerland; SIB, Swiss Institute of Bioinformatics, Switzerland
Conference: iclr 2023 (main track)
Keywords: unsupervised manifold alignment;multidimensional scaling;optimal transport;graph matching
Decision: Poster
Title: Measuring axiomatic soundness of counterfactual image models
Authors: Miguel Monteiro, Fabio De Sousa Ribeiro, Nick Pawlowski, Daniel Castro, Ben Glocker
Affiliations: Microsoft Research Cambridge; Imperial College London, Microsoft Research Cambridge; Imperial College London
Conference: iclr 2023 (main track)
Keywords: Counterfactual inference;Generative Models;Computer Vision
Decision: Poster
Title: ManyDG: Many-domain Generalization for Healthcare Applications
Authors: Chaoqi Yang, M Westover, Jimeng Sun
Affiliations: University of Illinois Urbana-Champaign; Harvard Medical School, Beth Israel Deaconess Medical Center
Conference: iclr 2023 (main track)
Keywords: Patient covariate shift;Domain Generalization;Healthcare;EEG;EHR
Decision: Poster
Title: This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
Authors: Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Affiliations: GLORY Ltd., Chubu University; Chubu University
Conference: iclr 2023 (main track)
Keywords: XAI;Inherently Interpretable Model;This Looks Like That Framework;Fine-grained Image Classification;Deep Learning
Decision: Poster
Title: Building Normalizing Flows with Stochastic Interpolants
Authors: Michael Albergo, Eric Vanden-Eijnden
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA; Center for Cosmology and Particle Physics, New York University, New York, NY 10003, USA
Conference: iclr 2023 (main track)
Keywords: normalizing flow;ODE;generative model
Decision: Poster
Title: Learning to Extrapolate: A Transductive Approach
Authors: Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal
Affiliations: MIT, University of Maryland, College Park; Improbable AI Lab, MIT; MIT; Improbable AI Lab, MIT, University of Washington
Conference: iclr 2023 (main track)
Decision: Poster
Title: Maximizing Spatio-Temporal Entropy of Deep 3D CNNs for Efficient Video Recognition
Authors: Junyan Wang, Zhenhong Sun, Yichen Qian, Dong Gong, Xiuyu Sun, Ming Lin, Maurice Pagnucco, Yang Song
Affiliations: University of New South Wales; Amazon; DAMO Academy, Alibaba Group
Conference: iclr 2023 (main track)
Decision: Poster
Title: Characteristic Neural Ordinary Differential Equation
Authors: XINGZI XU, Ali Hasan, Khalil Elkhalil, Jie Ding, VAHID TAROKH
Affiliations: School of Statistics, University of Minnesota; Department of Electrical and Computer Engineering, Duke University
Conference: iclr 2023 (main track)
Keywords: Neural ODE;Differential Equation;Method of characteristics
Decision: Poster
Title: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning
Authors: Qingru Zhang, Minshuo Chen, Alexander Bukharin, Pengcheng He, Yu Cheng, Weizhu Chen, Tuo Zhao
Affiliations: Georgia Institute of Technology; Microsoft Azure AI; Princeton University
Conference: iclr 2023 (main track)
Keywords: Adaptive budget allocation;Parameter-efficient fine-tuning;Natural language processing
Decision: Poster
Title: Graph Neural Networks for Link Prediction with Subgraph Sketching
Authors: Benjamin Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael Bronstein, Max Hansmire
Affiliations: Twitter Inc.; University of Oxford; Charm Therapeutics; ShareChat AI; Imperial College London
Conference: iclr 2023 (main track)
Keywords: Graph Neural Networks;Link Prediction;Data Sketching
Decision: Top-5%
Title: Continuous pseudo-labeling from the start
Authors: Dan Berrebbi, Ronan Collobert, Samy Bengio, Navdeep Jaitly, Tatiana Likhomanenko
Affiliations: Carnegie Mellon University; Apple
Conference: iclr 2023 (main track)
Keywords: selt-training;pseudo-labeling;speech recognition;data selection and filtering
Decision: Poster
Title: DAG Learning on the Permutahedron
Authors: Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt Kusner, Vlad Niculae
Affiliations: Amazon Web Services; ServiceNow Research; Informatics Institute, University of Amsterdam; University College London, Centre for AI
Conference: iclr 2023 (main track)
Keywords: directed acyclic graph;causal discovery;differentiable sorting
Decision: Poster
Title: Brain-like representational straightening of natural movies in robust feedforward neural networks
Authors: Tahereh Toosi, Elias Issa
Affiliations: Department of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA
Conference: iclr 2023 (main track)
Keywords: Perceptual straightening;invertibility;robustness;visual cortex
Decision: Poster
Title: Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection
Authors: Kaifeng Gao, Long Chen, Hanwang Zhang, Jun Xiao, Qianru Sun
Affiliations: Nanyang Technological University; The Hong Kong University of Science and Technology; Zhejiang University; Singapore Management University
Conference: iclr 2023 (main track)
Keywords: Prompt Tuning;Video Relation Detection
Decision: Poster
Title: Discovering Evolution Strategies via Meta-Black-Box Optimization
Authors: Robert Lange, Tom Schaul, Yutian Chen, Tom Zahavy, Valentin Dalibard, Chris Lu, Satinder Singh, Sebastian Flennerhag
Affiliations: University of Oxford; Technical University Berlin; DeepMind
Conference: iclr 2023 (main track)
Keywords: Meta-Learning;Evolution Strategies;Gradient-Free Optimization
Decision: Poster
Title: Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection
Authors: Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Affiliations: Department of Electrical and Computer Engineering, University of Texas at Austin; Department of Computer Science and Engineering, Michigan State University
Conference: iclr 2023 (main track)
Keywords: out-of-distribution detection;federated learning;heterogeneity
Decision: Top-25%
Title: Latent Variable Representation for Reinforcement Learning
Authors: Tongzheng Ren, Chenjun Xiao, Tianjun Zhang, Na Li, Zhaoran Wang, sujay sanghavi, Dale Schuurmans, Bo Dai
Affiliations: Georgia Tech; Harvard University; University of Alberta; UT Austin; Google Research, Brain Team; Northwestern University; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Latent Variable Model;Markov Decision Processes;Reinforcement Learning
Decision: Poster
Title: Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model
Authors: Yinhuai Wang, Jiwen Yu, Jian Zhang
Affiliations: Peking University Shenzhen Graduate School; Peking University Shenzhen Graduate School, Peng Cheng Laboratory
Conference: iclr 2023 (main track)
Keywords: Zero-Shot;Inverse Problems;Super-Resolution;Diffusion Models;Range-Null Space;Image Restoration;Colorization;Compressed Sensing;Inpainting;Deblur;Old Photo Restoration;Blind Restoration
Decision: Top-25%
Title: Masked Distillation with Receptive Tokens
Authors: Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
Affiliations: University of Science and Technology of China; SenseTime Research; School of Computer Science, Faculty of Engineering, The University of Sydney; School of Software and Microelectronics, Peking University
Conference: iclr 2023 (main track)
Decision: Poster