hunoutl/paperlists huggingface dataset:
Title: DM-NeRF: 3D Scene Geometry Decomposition and Manipulation from 2D Images
Authors: Bing WANG, Lu Chen, Bo Yang
Affiliations: Shenzhen Research Institute, The Hong Kong Polytechnic University; Shenzhen Research Institute, The Hong Kong Polytechnic University; University of Oxford
Conference: iclr 2023 (main track)
Keywords: 3D Scene Decomposition;Object Manipulation;Neural Rendering
Decision: Poster
Title: Molecular Geometry Pretraining with SE(3)-Invariant Denoising Distance Matching
Authors: Shengchao Liu, Hongyu Guo, Jian Tang
Affiliations: Mila - Québec AI Institute, Université de Montréal; Mila - Québec AI Institute, HEC Montréal, CIFAR AI Chair; National Research Council Canada, University of Ottawa
Conference: iclr 2023 (main track)
Keywords: molecule;pretraining;representation;geometry;denoising score matching
Decision: Poster
Title: FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation
Authors: Zhou Xian, Bo Zhu, Zhenjia Xu, Hsiao-Yu Tung, Antonio Torralba, Katerina Fragkiadaki, Chuang Gan
Affiliations: MIT; Columbia University; CMU; MIT-IBM Watson AI Lab; Dartmouth College
Conference: iclr 2023 (main track)
Keywords: Complex Fluid Manipulation;Differentiable Physics
Decision: Top-25%
Title: Nonlinear Reconstruction for Operator Learning of PDEs with Discontinuities
Authors: Samuel Lanthaler, Roberto Molinaro, Patrik Hadorn, Siddhartha Mishra
Affiliations: Computing and Mathematical Science, California Institute of Technology, Pasadena, CA, USA; Seminar for Applied Mathematics, ETH Zurich, Zurich, Switzerland
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency
Authors: Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh Chawla
Affiliations: Brandeis University; University of Notre Dame
Conference: iclr 2023 (main track)
Keywords: Graph Representation Learning;Knowledge Distillation
Decision: Top-25%
Title: Visual Recognition with Deep Nearest Centroids
Authors: Wenguan Wang, Cheng Han, Tianfei Zhou, Dongfang Liu
Affiliations: CCAI, Zhejiang University; ETH Zurich; Rochester Institute of Technology
Conference: iclr 2023 (main track)
Keywords: Nearest centroids classifier;Cased-base reasoning;Image classification;Image segmentation;Explainable neural networks
Decision: Top-25%
Title: Diagnosing and Rectifying Vision Models using Language
Authors: Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Y Zou, Serena Yeung
Affiliations: Stanford University, Stanford, CA 94305, USA
Conference: iclr 2023 (main track)
Keywords: model diagnosis;multi-modal contrastive learning;vision and language
Decision: Poster
Title: Neural ePDOs: Spatially Adaptive Equivariant Partial Differential Operator Based Networks
Authors: Lingshen He, Yuxuan Chen, Zhengyang Shen, Yibo Yang, Zhouchen Lin
Affiliations: Department of Computer Vision Technology (VIS), Baidu Inc.; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University; JD Explore Academy, Beijing, China; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University, Institute for Artificial Intelligence, Peking University, Peng Cheng Laboratory
Conference: iclr 2023 (main track)
Keywords: Equivariance;Partial differential operators
Decision: Top-25%
Title: HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers
Authors: Chen Liang, Haoming Jiang, Zheng Li, Xianfeng Tang, Bing Yin, Tuo Zhao
Affiliations: Georgia Institute of Technology; Amazon
Conference: iclr 2023 (main track)
Keywords: Knowledge Distillation;Structured Pruning;Pre-trained Transformer Language Models;Model Compression
Decision: Poster
Title: Understanding new tasks through the lens of training data via exponential tilting
Authors: Subha Maity, Mikhail Yurochkin, Moulinath Banerjee, Yuekai Sun
Affiliations: Department of Statistics, University of Michigan; IBM Research, MIT-IBM Watson AI lab
Conference: iclr 2023 (main track)
Keywords: Out-of-distribution generalization;model selection;subpopulation shift;concept drift
Decision: Poster
Title: Dichotomy of Control: Separating What You Can Control from What You Cannot
Authors: Sherry Yang, Dale Schuurmans, Pieter Abbeel, Ofir Nachum
Affiliations: University of California, Berkeley; University of Alberta; Google Research, Brain Team; University of California, Berkeley; Google Research, Brain Team; Google Research, Brain Team
Conference: iclr 2023 (main track)
Keywords: Offline reinforcement learning;return-conditioned supervised learning;stochastic environments;decision transformer
Decision: Top-5%
Title: Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Authors: Pan Lu, Liang Qiu, Kai-Wei Chang, Yingnian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan
Affiliations: University of California, Los Angeles; Georgia Institute of Technology; Allen Institute for AI
Conference: iclr 2023 (main track)
Keywords: Mathematical Reasoning;Tabular Math Word Problems;Prompt Learning;Policy Gradient
Decision: Poster
Title: RLx2: Training a Sparse Deep Reinforcement Learning Model from Scratch
Authors: Yiqin Tan, Pihe Hu, Ling Pan, Jiatai Huang, Longbo Huang
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Deep Reinforcement Learning;Lottery Ticket Hypothesis;Model Compression;Value Learning
Decision: Top-25%
Title: Transformers Learn Shortcuts to Automata
Authors: Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Affiliations: Carnegie Mellon University; Microsoft Research NYC; University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: Transformer;self-attention;group theory;semigroup theory;algebraic automata theory;shortcut learning;theory of deep learning
Decision: Top-5%
Title: Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task
Authors: Kenneth Li, Aspen Hopkins, David Bau, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg
Affiliations: Harvard University; Massachusetts Institute of Technology; Northeastern University
Conference: iclr 2023 (main track)
Keywords: world representation;GPT
Decision: Top-5%
Title: Learning Sparse Group Models Through Boolean Relaxation
Authors: Yijie Wang, Yuan Zhou, Xiaoqing Huang, Kun Huang, Jie Zhang, Jianzhu Ma
Affiliations: Department of Medical and Molecular Genetics, Indiana University; Computer Science Department, Indiana University Bloomington; Department of Biostatistics & Health Data Science, Indiana University; Yau Mathematical Sciences Center and Department of Mathematical Sciences, Tsinghua University; Institute for AI Industry Research, Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Structured sparisity;Convex relaxation;Cardinality-constrained program;Small sample size
Decision: Top-25%
Title: A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games
Authors: Samuel Sokota, Ryan D'Orazio, Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer
Affiliations: Columbia University; Mila, Université de Montréal; Carnegie Mellon University; DeepMind; Meta AI; Johns Hopkins University
Conference: iclr 2023 (main track)
Keywords: reinforcement learning;quantal response equilibria;two-player zero-sum games;mirror descent;variational inequalities;Nash equilibria;algorithmic game theory;proximal gradient
Decision: Poster
Title: Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective
Authors: Kun Wang, Yuxuan Liang, Pengkun Wang, Xu Wang, Pengfei Gu, Junfeng Fang, Yang Wang
Affiliations: School of Data Science, USTC; Key Laboratory of Precision and Intelligent Chemistry, USTC & School of Software Engineering, USTC; National University of Singapore, Singapore
Conference: iclr 2023 (main track)
Keywords: Lottery Tickets Hypothesis;Dual Lottery Tickets Hypothesis;Graph pooling;Graph information bottleneck
Decision: Poster
Title: How Does Semi-supervised Learning with Pseudo-labelers Work? A Case Study
Authors: Yiwen Kou, Zixiang Chen, Yuan Cao, Quanquan Gu
Affiliations: Department of Statistics and Actuarial Science, The University of Hong Kong and Department of Mathematics, The University of Hong Kong; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2023 (main track)
Decision: Poster
Title: UNIFIED-IO: A Unified Model for Vision, Language, and Multi-modal Tasks
Authors: Jiasen Lu, Christopher Clark, Rowan Zellers, Roozbeh Mottaghi, Aniruddha Kembhavi
Affiliations: †Allen Institute for AI,⋄University of Washington, Seattle
Conference: iclr 2023 (main track)
Decision: Top-25%
Title: UNICO: Efficient Unified Hardware-Software Co-Optimization For Deep Neural Networks
Conference: iclr 2023 (main track)
Keywords: Neural accelerator optimization;Hardware-Software co-design;Hardware optimization;HW design robustness;HW design generalizability;Successive halving;Holistic time-efficient search;Multi-objective Bayesian optimization;High-fidelity search;Tensor computation
Decision: Withdraw
Title: How gradient estimator variance and bias impact learning in neural networks
Authors: Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P Kording, Blake A Richards
Affiliations: Unversite de Montr ´eal & Mila-Quebec AI Institute, Montr ´eal, QC, Canada; University of Pennsylvania, Philadelphia, PA, USA; CIFAR Learning in Machines & Brains, Toronto, ON, Canada; University of Washington, Seattle, WA, USA; Mila-Quebec AI Institute, Montr ´eal, QC, Canada; McGill University, Mila-Quebec AI Institute & Montreal Neurological Institute, Montr ´eal, QC, Canada; CIFAR Learning in Machines & Brains, Toronto, ON, Canada; McGill University & Mila-Quebec AI Institute, Montr ´eal, QC, Canada
Conference: iclr 2023 (main track)
Keywords: Computational Neuroscience;learning and plasticity;Credit assignment;Imperfect gradient descent;Gradient approximation;Biologically-plausible learning;Neuromorphic computing;Neural networks
Decision: Poster
Title: SLTUNET: A Simple Unified Model for Sign Language Translation
Authors: Biao Zhang, Mathias Müller, Rico Sennrich
Affiliations: Department of Computational Linguistics, University of Zurich; School of Informatics, University of Edinburgh
Conference: iclr 2023 (main track)
Keywords: Unified Modeling;Multi-task Learning;Sign Language Translation;Cross-modality Learning
Decision: Poster
Title: TDR-CL: Targeted Doubly Robust Collaborative Learning for Debiased Recommendations
Authors: Haoxuan Li, Yan Lyu, Chunyuan Zheng, Peng Wu
Affiliations: Beijing Technology and Business University; Peking University; University of California, San Diego
Conference: iclr 2023 (main track)
Keywords: Recommender System;Bias;Debias;Doubly Robust
Decision: Poster
Title: SimPer: Simple Self-Supervised Learning of Periodic Targets
Authors: Yuzhe Yang, Xin Liu, Jiang Wu, Silviu Borac, Dina Katabi, Ming-Zher Poh, Daniel McDuff
Conference: iclr 2023 (main track)
Keywords: Periodic learning;Self-supervised learning;Representation learning;Periodic targets;Periodicity
Decision: Top-5%
Title: TTN: A Domain-Shift Aware Batch Normalization in Test-Time Adaptation
Authors: Hyesu Lim, Byeonggeun Kim, Jaegul Choo, Sungha Choi
Affiliations: Qualcomm AI Research†, KAIST; KAIST; Qualcomm AI Research†
Conference: iclr 2023 (main track)
Keywords: Test time adaptation;Domain adaptation;Batch Normalization
Decision: Poster
Title: Volumetric Optimal Transportation by Fast Fourier Transform
Authors: Na Lei, DONGSHENG An, Min Zhang, Xiaoyin Xu, David Gu
Affiliations: Stony Brook University; Dalian University of Technology; Zhejiang University; Harvard Medical School
Conference: iclr 2023 (main track)
Keywords: Optimal transport;Monge-Ampere equation;Elliptic PDE;Fast Fourier transform
Decision: Poster
Title: Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning
Authors: Yujun Shi, Jian Liang, Wenqing Zhang, Vincent Tan, Song Bai
Affiliations: National University of Singapore; ByteDance Inc.; Institute of Automation, CAS
Conference: iclr 2023 (main track)
Keywords: federated Learning;representation Learning;data heterogeneity;dimensional collapse
Decision: Poster
Title: Causal Balancing for Domain Generalization
Authors: Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Wang
Affiliations: Department of Philosophy, Carnegie Mellon University, USA; Department of Computer Science, University of California, Santa Barbara, USA; David R. Cheriton School of Computer Science, University of Waterloo, Canada
Conference: iclr 2023 (main track)
Keywords: domain generalization;causality;latent variable model
Decision: Poster
Title: Spectral Decomposition Representation for Reinforcement Learning
Authors: Tongzheng Ren, Tianjun Zhang, Lisa Lee, Joseph E Gonzalez, Dale Schuurmans, Bo Dai
Affiliations: Google Research, Brain Team; UT Austin; Google Research, Brain Team; UC Berkeley; Google Research, Brain Team; University of Alberta; Google Research, Brain Team; Google Research, Brain Team; Georgia Tech; UC Berkeley
Conference: iclr 2023 (main track)
Keywords: Spectral Representation;Markov Decision Processes;Reinforcement Learning
Decision: Poster
Title: Semi-Parametric Inducing Point Networks and Neural Processes
Authors: Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Yi-Yuan Lee, Yuntian Deng, Mert Sabuncu, Volodymyr Kuleshov
Affiliations: Harvard University; Cornell University; Technion - Israel Institute of Technology
Conference: iclr 2023 (main track)
Decision: Poster
Title: Instance-wise Batch Label Restoration via Gradients in Federated Learning
Authors: Kailang Ma, Yu Sun, Jian Cui, Dawei Li, Zhenyu Guan, Jianwei Liu
Affiliations: School of Cyber Science and Technology, Beihang University, China
Conference: iclr 2023 (main track)
Keywords: federated learning;batch label restoration;gradient inversion attack.
Decision: Poster
Title: LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation
Authors: Xuheng Cai, Chao Huang, Lianghao Xia, Xubin Ren
Affiliations: Department of Computer Science, University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: recommender systems;graph neural networks;contrastive learning
Decision: Top-25%
Title: Improved Convergence of Differential Private SGD with Gradient Clipping
Authors: Huang Fang, Xiaoyun Li, Chenglin Fan, Ping Li
Affiliations: Cognitive Computing Lab, Baidu Research, No.10 Xibeiwang East Road, Beijing 100193, China; 10900 NE 8th St. Bellevue, Washington 98004, USA
Conference: iclr 2023 (main track)
Decision: Poster
Title: CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations
Authors: Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G Pershing, Henrique Maia, Maurizio Chiaramonte, Kevin Carlberg, Eitan Grinspun
Affiliations: Meta Reality Labs Research; Columbia University, University of Toronto; University of Toronto; Columbia University
Conference: iclr 2023 (main track)
Keywords: PDE;implicit neural representation;neural field;latent space traversal;reduced-order modeling;numerical methods
Decision: Top-25%
Title: A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy
Authors: Kaan Ozkara, Antonious Bebawy, Deepesh Data, Suhas Diggavi
Affiliations: University of California, Los Angeles; Department of Electrical and Computer Engineering, University of California, Los Angeles
Conference: iclr 2023 (main track)
Keywords: Personalized Federated Learning;Personalized Statistical Estimation;Differential Privacy;Empirical/Hierarchical Bayes
Decision: Poster
Title: ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation
Authors: Jianye HAO, Pengyi Li, Hongyao Tang, YAN ZHENG, Xian Fu, Zhaopeng Meng
Affiliations: College of Intelligence and Computing, Tianjin University, China
Conference: iclr 2023 (main track)
Keywords: Reinforcement Learning;Evolutionary Algorithm;Representation
Decision: Poster
Title: Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification
Authors: Takashi Ishida, Ikko Yamane, Nontawat Charoenphakdee, Gang Niu, Masashi Sugiyama
Affiliations: The University of Tokyo, RIKEN; RIKEN; ENSAI/CREST; The University of Tokyo∗
Conference: iclr 2023 (main track)
Keywords: Bayes error;best achievable error;irreducible error
Decision: Top-5%
Title: Parametrizing Product Shape Manifolds by Composite Networks
Authors: Josua Sassen, Klaus Hildebrandt, Martin Rumpf, Benedikt Wirth
Affiliations: University of Bonn; University of Münster; TU Delft
Conference: iclr 2023 (main track)
Keywords: shape spaces;product manifolds;nonlinear statistics;low-dimensional data manifolds
Decision: Top-25%
Title: Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection
Authors: Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye HAO, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia
Affiliations: Huawei Noah’s Ark Lab; Tsinghua Shenzhen International Graduate School, Tsinghua University; Zhejiang University; Huawei Cloud
Conference: iclr 2023 (main track)
Keywords: Deep Reinforcement Learning;The Arcade Learning Environment;Human World Records;Behavioral Control
Decision: Top-5%
Title: Knowledge Distillation based Degradation Estimation for Blind Super-Resolution
Authors: Bin Xia, Yulun Zhang, Yitong Wang, Yapeng Tian, Wenming Yang, Radu Timofte, Luc Van Gool
Affiliations: University of Würzburg; University of Texas at Dallas; ByteDance Inc; Tsinghua University; ETH Zürich
Conference: iclr 2023 (main track)
Keywords: Image Super-Resolution
Decision: Poster
Title: On The Specialization of Neural Modules
Authors: Devon Jarvis, Richard Klein, Benjamin Rosman, Andrew Saxe
Affiliations: School of Computer Science and Applied Mathematics, University of the Witwatersrand & Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, UCL & CIFAR Azrieli Global Scholar, CIFAR; School of Computer Science and Applied Mathematics, University of the Witwatersrand & CIFAR Azrieli Global Scholar, CIFAR; Gatsby Computational Neuroscience Unit & Sainsbury Wellcome Centre, UCL; School of Computer Science and Applied Mathematics, University of the Witwatersrand
Conference: iclr 2023 (main track)
Keywords: Systematic Generalization;Linear Neural Networks;Neural Module Networks
Decision: Poster
Title: DreamFusion: Text-to-3D using 2D Diffusion
Authors: Ben Poole, Ajay Jain, Jonathan T. Barron, Ben Mildenhall
Affiliations: UC Berkeley; Google Research
Conference: iclr 2023 (main track)
Keywords: diffusion models;score-based generative models;NeRF;neural rendering;3d synthesis
Decision: Top-5%
Title: Language Modelling with Pixels
Authors: Phillip Rust, Jonas F. Lotz, Emanuele Bugliarello, Elizabeth Salesky, Miryam de Lhoneux, Desmond Elliott
Affiliations: University of Copenhagen; KU Leuven; University of Copenhagen, ROCKWOOL Foundation Research Unit; University of Copenhagen, Pioneer Centre for AI; Johns Hopkins University
Conference: iclr 2023 (main track)
Keywords: representation learning;nlp;transformers;language model;masked autoencoder
Decision: Top-5%
Title: Label-free Concept Bottleneck Models
Authors: Tuomas Oikarinen, Subhro Das, Lam Nguyen, Tsui-Wei Weng
Affiliations: IBM Research; UCSD HDSI; UCSD CSE; MIT-IBM Watson AI Lab, IBM Research
Conference: iclr 2023 (main track)
Keywords: Interpretability;Explainability;Concept Bottleneck Models
Decision: Poster
Title: Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
Authors: Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo
Affiliations: KAIST; LG AI Research
Conference: iclr 2023 (main track)
Keywords: natural language processing;zeroshot language models;large language models
Decision: Poster
Title: Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization
Authors: Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie
Affiliations: Microsoft Research Asia; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University, Beijing, China; Beijing National Research Center for Information Science and Technology; Institute for AI Industry Research, Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence; International Innovation Center of Tsinghua University, Shanghai, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; Institute for AI Industry Research, Tsinghua University, Beijing, China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; Dept. of Comp. Sci. & Tech., Institute for AI, Tsinghua University, Beijing, China; Beijing National Research Center for Information Science and Technology; Beijing Academy of Artificial Intelligence
Conference: iclr 2023 (main track)
Keywords: detoxify;debias;language generation
Decision: Poster
Title: RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data
Authors: Sangwoo Mo, Jong-Chyi Su, Chih-Yao Ma, Mahmoud Assran, Ishan Misra, Licheng Yu, Sean Bell
Affiliations: Meta AI; KAIST; NEC Laboratories America; McGill University/Mila
Conference: iclr 2023 (main track)
Keywords: semi-supervised learning;representation learning;uncurated data
Decision: Poster
Title: Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Authors: Andy Zeng, Maria Attarian, brian ichter, Krzysztof Choromanski, Adrian Wong, Stefan Welker, Federico Tombari, Aveek Purohit, Michael Ryoo, Vikas Sindhwani, Johnny Lee, Vincent Vanhoucke, Pete Florence
Affiliations: Google
Conference: iclr 2023 (main track)
Keywords: prompt engineering;multimodal applications;visual language models;large language models;commonsense reasoning
Decision: Top-25%
Title: ISS: Image as Stepping Stone for Text-Guided 3D Shape Generation
Authors: Zhengzhe Liu, Peng Dai, Ruihui Li, XIAOJUAN QI, Chi-Wing Fu
Affiliations: The University of Hong Kong; Hunan University; The Chinese University of Hong Kong
Conference: iclr 2023 (main track)
Keywords: Text;3D shape;CLIP;differentiable rendering
Decision: Top-25%
Title: CLIP-ViP: Adapting Pre-trained Image-Text Model to Video-Language Alignment
Authors: Hongwei Xue, Yuchong Sun, Bei Liu, Jianlong Fu, Ruihua Song, Houqiang Li, Jiebo Luo
Affiliations: University of Rochester, Rochester, NY; University of Science and Technology of China, Hefei, China; Renmin University of China, Beijing, China; Microsoft Research, Beijing, China
Conference: iclr 2023 (main track)
Decision: Poster
Title: Free Lunch for Domain Adversarial Training: Environment Label Smoothing
Authors: YiFan Zhang, xue wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
Affiliations: National Laboratory of Pattern Recognition (NLPR), Institute of Automation; School of Artificial Intelligence, University of Chinese Academy of Sciences (UCAS); Machine Intelligence Technology, Alibaba Group
Conference: iclr 2023 (main track)
Keywords: Out-of-Distribution Generalization;Domain adaptation/generalization;Domain adversarial training;environmnt label noise;non-asymptotic convergence
Decision: Poster
Title: Scalable Batch-Mode Deep Bayesian Active Learning via Equivalence Class Annealing
Authors: Renyu Zhang, Aly Khan, Robert Grossman, Yuxin Chen
Affiliations: Department of Computer Science, University of Chicago; Department of Pathology, University of Chicago
Conference: iclr 2023 (main track)
Keywords: Bayesian Neural Network;Batch-Mode Active Learning;Decision-Centric Data Acquisition;Scalability
Decision: Poster
Title: Neural Agents Struggle to Take Turns in Bidirectional Emergent Communication
Authors: Valentin Taillandier, Dieuwke Hupkes, Benoît Sagot, Emmanuel Dupoux, Paul Michel
Affiliations: Inria; ENS PSL, Inria; Meta AI Research
Conference: iclr 2023 (main track)
Keywords: language emergence;turn-taking;conversation;communication;neural agents;cooperative game;reinforcement learning
Decision: Poster