hunoutl/paperlists huggingface dataset:
Title: Debiased Collaborative Filtering with Kernel-Based Causal Balancing
Authors: Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Zhi Geng, Xu Chen, Peng Cui
Affiliations: University of Chinese Academy of Sciences; Beijing Technology and Business University; Peking University; Tsinghua University; Renmin University of China
Conference: iclr 2024 (main track)
Keywords: Recommender System;Causal Inference;Bias;Debias;Balancing
Decision: Spotlight
Title: A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables
Authors: Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, songyao jin, Roberto Legaspi, Peter Spirtes, Kun Zhang
Affiliations: KDDI Research; Carnegie Mellon University; Carnegie Mellon University and Mohamed bin Zayed University of Artificial Intelligence; Mohamed bin Zayed University of Artificial Intelligence; University of California San Diego
Conference: iclr 2024 (main track)
Keywords: Causal Discovery; Latent Variables
Decision: Poster
Title: Let's do the time-warp-attend: Learning topological invariants of dynamical systems
Authors: Noa Moriel, Matt Ricci, Mor Nitzan
Affiliations: The Hebrew University
Conference: iclr 2024 (main track)
Keywords: dynamical systems;bifurcations;topological invariance;Hopf bifurcation;physics-informed machine learning;augmentation;single-cell RNA-sequencing
Decision: Poster
Title: Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Authors: Shuo He, Chaojie Wang, Guowu Yang, Lei Feng
Affiliations: Nanyang Technological University; University of Electronic Science and Technology of China
Conference: iclr 2024 (main track)
Keywords: partial label learning;label disambiguation;candidate label set pruning
Decision: Oral
Title: Incentive-Aware Federated Learning with Training-Time Model Rewards
Authors: Zhaoxuan Wu, Mohammad Mohammadi Amiri, Ramesh Raskar, Bryan Kian Hsiang Low
Affiliations: Media Lab, Massachusetts Institute of Technology, USA; Department of Computer Science, Rensselaer Polytechnic Institute, USA; Institute of Data Science, National University of Singapore, Republic of Singapore; Department of Computer Science, National University of Singapore, Republic of Singapore
Conference: iclr 2024 (main track)
Keywords: Collaborative learning;Incentives;Global-to-local design
Decision: Poster
Title: DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation
Authors: Hong Chen, Yipeng Zhang, Simin Wu, Xin Wang, Xuguang Duan, Yuwei Zhou, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, Tsinghua University; Lanzhou University; Department of Computer Science and Technology, Tsinghua University; Beijing National Research Center for Information Science and Technology
Conference: iclr 2024 (main track)
Keywords: diffusion model;subject-driven text-to-image generation;disentangled finetuning;customized and personalized generation
Decision: Poster
Title: Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization
Authors: Yang Jin, Kun Xu, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin CHEN, Chengru Song, dai meng, Di ZHANG, Wenwu Ou, Kun Gai, Yadong MU
Affiliations: Peking University; Kuaishou Technology
Conference: iclr 2024 (main track)
Keywords: Vision Language Learning;Large Language Model;Pretraining
Decision: Poster
Title: SOInter: A Novel Deep Energy-Based Interpretation Method for Explaining Structured Output Models
Authors: S. Fatemeh Seyyedsalehi, Mahdieh Baghshah, Hamid Rabiee
Affiliations: Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Conference: iclr 2024 (main track)
Keywords: Interpretation;Structured output;Energy function;Explainable Structured output
Decision: Poster
Title: PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code
Authors: Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu
Affiliations: 1The Chinese University of Hong Kong (CUHK)2International Digital Economy Academy (IDEA); 1The Chinese University of Hong Kong (CUHK); 2International Digital Economy Academy (IDEA)
Conference: iclr 2024 (main track)
Keywords: diffusion models;image editing;diffusion inversion
Decision: Poster
Title: AttEXplore: Attribution for Explanation with model parameters eXploration
Authors: Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora Salim
Affiliations: University of New South Wales; SuZhouYierqi; CSIRO’s Data61; University of Sydney; Universiti Malaya
Conference: iclr 2024 (main track)
Keywords: attribution;transferability;adversarial attack
Decision: Poster
Title: GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion
Authors: Xueyi Liu, Li Yi
Affiliations: Tsinghua University, Shanghai AI Laboratory, Shanghai Qi Zhi Institute
Conference: iclr 2024 (main track)
Keywords: motion refinement;hand-object interaction;inverse problem;generative prior
Decision: Poster
Title: AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning
Authors: Yuwei GUO, Ceyuan Yang, Anyi Rao, Zhengyang Liang, Yaohui Wang, Yu Qiao, Maneesh Agrawala, Dahua Lin, Bo DAI
Affiliations: Stanford University; Shanghai Artificial Intelligence Laboratory; The Chinese University of Hong Kong; The Chinese University of Hong Kong, Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Deep Learning;Diffusion Model;Video Generation
Decision: Spotlight
Title: CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
Authors: Lifan Yuan, Yangyi Chen, Xingyao Wang, Yi Fung, Hao Peng, Heng Ji
Affiliations: University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Tool Creation;Tool Retrieval;LLM;Multimodality;Reasoning
Decision: Poster
Title: Customizable Combination of Parameter-Efficient Modules for Multi-Task Learning
Authors: Haowen Wang, Tao Sun, Congyun Jin, Yingbo Wang, Yibo Fan, Yunqi Xu, Yuliang Du, Cong Fan
Affiliations: Ant Group, Shanghai, China
Conference: iclr 2024 (main track)
Keywords: Modular skill learning;Multi-task learning;Parameter-Efficient;Fine-Tuning
Decision: Poster
Title: Image Clustering Conditioned on Text Criteria
Authors: Sehyun Kwon, Jaeseung Park, Minkyu Kim, Jaewoong Cho, Ernest K Ryu, Kangwook Lee
Affiliations: University of Wisconsin–Madison; Seoul National University; KRAFTON
Conference: iclr 2024 (main track)
Keywords: image clustering;vision-language models;large language models;foundation models
Decision: Poster
Title: PTaRL: Prototype-based Tabular Representation Learning via Space Calibration
Authors: Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
Affiliations: School of Artificial Intelligence, Jilin University; University of Oxford; CSIRO’s Data61; The Chinese University of Hong Kong, Shenzhen; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: Tabular data;Deep neural networks;Tabular representation learning;Prototype learning
Decision: Spotlight
Title: Empirical Likelihood for Fair Classification
Authors: Pangpang Liu, Yichuan Zhao
Affiliations: Mitchell E. Daniels, Jr. School of Business, Purdue University, West Lafayette, IN 47907, USA; Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA
Conference: iclr 2024 (main track)
Keywords: Fair Classification;Empirical Likelihood
Decision: Poster
Title: Identifying the Risks of LM Agents with an LM-Emulated Sandbox
Authors: Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris Maddison, Tatsunori Hashimoto
Affiliations: Stanford University; University of Toronto, Vector Institute
Conference: iclr 2024 (main track)
Keywords: Language Model Agent;Tool Use;Evaluation;Safety;Language Model
Decision: Spotlight
Title: Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding
Authors: Noam Levi, Alon Beck, Yohai Bar-Sinai
Affiliations: École Polytechnique Fédérale de Lausanne (EPFL), Switzerland; Raymond and Beverly Sackler School of Physics and Astronomy, Tel-Aviv University, Tel-Aviv 69978, Israel
Conference: iclr 2024 (main track)
Keywords: Grokking;Random Matrix Theory;Linear Regression;Representation Learning
Decision: Poster
Title: Effective Structural Encodings via Local Curvature Profiles
Authors: Lukas Fesser, Melanie Weber
Affiliations: Faculty of Arts and Sciences, Harvard University; Department of Applied Mathematics, Harvard University
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Discrete Curvature;Rewiring;Positional Encodings;Structural Encodings
Decision: Poster
Title: RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Authors: Parth Sarthi, Salman Abdullah, Aditi Tuli, Shubh Khanna, Anna Goldie, Christopher Manning
Affiliations: Stanford University
Conference: iclr 2024 (main track)
Keywords: Retrieval Augmented Language Models;Information Retrieval;summarization;QA
Decision: Poster
Title: The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”
Authors: Lukas Berglund, Meg Tong, Maximilian Kaufmann, Mikita Balesni, Asa Stickland, Tomek Korbak, Owain Evans
Affiliations: New York University; UK AI Safety Institute; University of Oxford; Independent; University of Sussex; Vanderbilt University; Apollo Research
Conference: iclr 2024 (main track)
Keywords: LLMs;Large Language Models;Question Answering;Generalization;Knowledge Representation;Logical Inference;Relations
Decision: Poster
Title: AutoChunk: Automated Activation Chunk for Memory-Efficient Deep Learning Inference
Authors: Xuanlei Zhao, Shenggan Cheng, Guangyang LU, Haotian Zhou, Bin Jia, Yang You
Affiliations: National University of Singapore; HPC-AI Technology Inc.
Conference: iclr 2024 (main track)
Keywords: Long Sequence Inference;Inference;Compiler;Activation Memory;Machine Learning Infrastructure;Low Resource Inference
Decision: Poster
Title: Reward-Consistent Dynamics Models are Strongly Generalizable for Offline Reinforcement Learning
Authors: Fan-Ming Luo, Tian Xu, Xingchen Cao, Yang Yu
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China
Conference: iclr 2024 (main track)
Keywords: model-based offline reinforcement learning;dynamics reward;reward-consistent dynamics model learning
Decision: Spotlight
Title: DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation
Authors: Roi Benita, Michael Elad, Joseph Keshet
Affiliations: Department of Electrical and Computer Engineering, Technion – Israel Institute of Technology, Haifa, Israel; Department of Electrical and Computer Engineering, Department of Computer Science, Technion – Israel Institute of Technology, Haifa, Israel
Conference: iclr 2024 (main track)
Keywords: Diffusion models;speech generation;text to speech;autoregressive model
Decision: Poster
Title: Duolando: Follower GPT with Off-Policy Reinforcement Learning for Dance Accompaniment
Authors: Siyao Li, Tianpei Gu, Zhitao Yang, Zhengyu Lin, Ziwei Liu, Henghui Ding, Lei Yang, Chen Change Loy
Affiliations: Lexica; Shanghai AI Laboratory; S-Lab, Nanyang Technological University; SenseTime
Conference: iclr 2024 (main track)
Keywords: motion generation;multi-modality;dance generation;human human-interaction;GPT;reinforcement learning
Decision: Poster
Title: Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds
Authors: Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li
Affiliations: Vrije Universiteit Amsterdam; Huazhong Agriculture University; Xi’an Jiaotong University
Conference: iclr 2024 (main track)
Keywords: information theory;generalization bound;learning theory;minimum error entropy
Decision: Poster
Title: Domain Randomization via Entropy Maximization
Authors: Gabriele Tiboni, Pascal Klink, Jan Peters, Tatiana Tommasi, Carlo D'Eramo, Georgia Chalvatzaki
Affiliations: Department of Computer Science, Technische Universit ¨at Darmstadt, Germany; Department of Computer Science, Technische Universit ¨at Darmstadt, Germany; Center for Artificial Intelligence and Data Science, University of W ¨urzburg, Germany; Department of Computer Science, Technische Universit ¨at Darmstadt, Germany; Center for Mind, Brain and Behavior, Uni. Marburg and JLU Giessen, Germany; Department of Control and Computer Engineering, Politecnico di Torino, Italy
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Sim-to-Real Transfer;Domain Randomization
Decision: Poster
Title: MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy
Authors: Yan Sun, Jicong Fan
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Shenzhen Research Institute of Big Data, Shenzhen, China; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; School of Computing, National University of Singapore, Singapore
Conference: iclr 2024 (main track)
Keywords: graph kernel;graph metric learning;maximum mean discrepancy
Decision: Spotlight
Title: Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control
Authors: Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat, Naira HOVAKIMYAN
Affiliations: Department of Mechanical Science & Engineering, University of Illinois Urbana-Champaign, Urbana, IL, 61801, USA
Conference: iclr 2024 (main track)
Keywords: Robust control;Reinforcement learning
Decision: Poster
Title: Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
Authors: Suhwan Choi, Myeongho Jeon, Yeonjung Hwang, Jeonglyul Oh, Sungjun Lim, Joonseok Lee, Myungjoo Kang
Affiliations: Seoul National University, CRABs.ai; Seoul National University, Google Research; Seoul National University
Conference: iclr 2024 (main track)
Keywords: Contrastive learning;Forward learning;Local learning;Image classification;Efficient learning
Decision: Spotlight
Title: Investigating the Benefits of Projection Head for Representation Learning
Authors: Yihao Xue, Eric Gan, Jiayi Ni, Siddharth Joshi, Baharan Mirzasoleiman
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: representation learning;representation learning theory;contrastive learning;robustness
Decision: Poster
Title: FeatUp: A Model-Agnostic Framework for Features at Any Resolution
Authors: Stephanie Fu, Mark Hamilton, Laura E. Brandt, Axel Feldmann, Zhoutong Zhang, William Freeman
Affiliations: MIT, Google; MIT; MIT, Microsoft; Adobe Research
Conference: iclr 2024 (main track)
Keywords: deep learning;deep features;computer vision;feature upsampling
Decision: Poster
Title: Tree-Planner: Efficient Close-loop Task Planning with Large Language Models
Authors: Mengkang Hu, Yao Mu, Xinmiao Yu, Mingyu Ding, Shiguang Wu, Wenqi Shao, Qiguang Chen, Bin Wang, Yu Qiao, Ping Luo
Affiliations: The University of Hong Kong; Noah’s Ark Laboratory; Harbin Institute of Technology; Shanghai AI Laboratory
Conference: iclr 2024 (main track)
Keywords: Embodied Agents;Large Language Models;Task Planning
Decision: Poster
Title: Improved algorithm and bounds for successive projection
Authors: Jiashun Jin, Tracy Ke, Gabriel Moryoussef, Jiajun Tang, Jingming Wang
Affiliations: Department of Statistics, Harvard University, Cambridge, MA 02138, USA; Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213, USA
Conference: iclr 2024 (main track)
Keywords: Simplex;vertex hunting;successive projection;pseudo-points;pruning;hyper-spectral unmixing;archetypal analysis;network analysis.
Decision: Poster
Title: DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
Authors: Vint Lee, Pieter Abbeel, Youngwoon Lee
Affiliations: University of California, Berkeley; University of California, Berkeley and Yonsei University
Conference: iclr 2024 (main track)
Keywords: Model-based Reinforcement Learning; Reward Shaping; Reward Smoothing
Decision: Poster
Title: PINNACLE: PINN Adaptive ColLocation and Experimental points selection
Authors: Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng, Bryan Kian Hsiang Low
Affiliations: Department of Computer Science, National University of Singapore, Singapore 117417; Department of Computer Science, National University of Singapore, Singapore 117417; CNRS@CREATE, 1 Create Way, #08-01 Create Tower, Singapore 138602
Conference: iclr 2024 (main track)
Keywords: Physics-informed Neural Networks;PINNs;adaptive training points selection
Decision: Spotlight
Title: A unique M-pattern for micro-expression spotting in long videos
Authors: Jinxuan Wang, Shiting Xu, Tong Zhang
Affiliations: Pazhou Lab, Guangzhou, China; South China University of Technology & Engineering Research Center of the Ministry of Education on Health Intelligent Perception and Paralleled Digital-Human
Conference: iclr 2024 (main track)
Keywords: Micro-expression spotting;Optical flow;Facial alignment
Decision: Poster
Title: Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning
Authors: Haobo SONG, Hao Zhao, Soumajit Majumder, Tao Lin
Affiliations: EPFL; Westlake University; Huawei
Conference: iclr 2024 (main track)
Keywords: Parameter-efficient Fine-tuning;Model Capacity
Decision: Poster
Title: On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs
Authors: Jen-tse Huang, Wenxuan Wang, Eric John Li, Man Ho LAM, Shujie Ren, Youliang Yuan, Wenxiang Jiao, Zhaopeng Tu, Michael Lyu
Affiliations: Department of Computer Science and Engineering, The Chinese University of Hong Kong; Institute of Psychology, Tianjin Medical University; School of Data Science, The Chinese University of Hong Kong, Shenzhen; Tencent AI Lab
Conference: iclr 2024 (main track)
Keywords: LLM;Benchmark;Evaluation;Psychometrics
Decision: Oral
Title: Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization
Authors: Mohammad Pedramfar, Yididiya Nadew, Chris Quinn, Vaneet Aggarwal
Affiliations: Department of Computer Science, Iowa State University, Ames, IA 50010, USA; School of Industrial Engineering, Purdue University, West Lafayette, IN 47907, USA
Conference: iclr 2024 (main track)
Keywords: Stochastic optimization;submodular maximization;Frank-Wolfe algorithm
Decision: Poster
Title: DMV3D: Denoising Multi-view Diffusion Using 3D Large Reconstruction Model
Authors: Yinghao Xu, Hao Tan, Fujun Luan, Sai Bi, Peng Wang, Jiahao Li, Zifan Shi, Kalyan Sunkavalli, Gordon Wetzstein, Zexiang Xu, Kai Zhang
Affiliations: HKU; TTIC; Adobe Research; Stanford; HKUST
Conference: iclr 2024 (main track)
Keywords: 3D Generation; Single-view 3D Reconstruction; text-to-3D
Decision: Spotlight
Title: Discovering modular solutions that generalize compositionally
Authors: Simon Schug, Seijin Kobayashi, Yassir Akram, Maciej Wołczyk, Alexandra M Proca, Johannes von Oswald, Razvan Pascanu, Joao Sacramento, Angelika Steger
Affiliations: IDEAS NCBR; ETH Zurich, Google Research; Google DeepMind; ETH Zurich; Imperial College London
Conference: iclr 2024 (main track)
Keywords: modularity;compositionality;compositional generalization;teacher-student;meta-learning;hypernetworks
Decision: Poster
Title: Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments
Authors: Ryo Ueda, TADAHIRO TANIGUCHI
Affiliations: Kyoto University Ritsumeikan University; The University of Tokyo
Conference: iclr 2024 (main track)
Keywords: Emergent Communication;Emergent Language;Probabilistic Generative Model;Variational Autoencoder;beta-VAE;Zipf’s law of abbreviation;Harris’s articulation scheme
Decision: Poster
Title: Forward $\chi^2$ Divergence Based Variational Importance Sampling
Authors: Chengrui Li, Yule Wang, Weihan Li, Anqi Wu
Affiliations: School of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, GA 30305, USA
Conference: iclr 2024 (main track)
Keywords: Importance sampling;$\chi^2$ divergence;latent variable models
Decision: Spotlight
Title: "What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection
Authors: Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Affiliations: Brandeis University; Brandeis University, GE HealthCare; University of California, Davis
Conference: iclr 2024 (main track)
Keywords: Data Selection;Interpretability;Fairness;Robustness
Decision: Oral
Title: Temporal Generalization Estimation in Evolving Graphs
Authors: Bin Lu, Tingyan Ma, Xiaoying Gan, Xinbing Wang, Yunqiang Zhu, Chenghu Zhou, Shiyu Liang
Affiliations: John Hopcroft Center for Computer Science, Shanghai Jiao Tong University; Department of Electronic Engineering, Shanghai Jiao Tong University; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Generalization Estimation;Evolving Graph;Graph Neural Network
Decision: Poster
Title: SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
Authors: Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas Guibas
Affiliations: Institute for AI, Peking University, China; Department of Computer Science, Stanford University, USA; CFCS, School of Computer Science, Peking University, China
Conference: iclr 2024 (main track)
Keywords: dexterous manipulaiton;one-shot manipulation transfer;distilled feature field;implicit field
Decision: Poster
Title: Frequency-Aware Transformer for Learned Image Compression
Authors: Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: learned image compression;frequency-aware;transformer;entropy model
Decision: Poster
Title: Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
Authors: Bohang Zhang, Jingchu Gai, Yiheng Du, Qiwei Ye, Di He, Liwei Wang
Affiliations: School of Mathematical Science, Peking University; Yuanpei College, Peking University; National Key Laboratory of General Artificial Intelligence, SIST, Peking University; National Key Laboratory of General Artificial Intelligence, SIST, Peking University; Center for Machine Learning Research, Peking University; Beijing Academy of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Expressive Power;Homomorphism;Subgraph Counting;Weisfeiler-Lehman
Decision: Oral
Title: Label-Noise Robust Diffusion Models
Authors: Byeonghu Na, Yeongmin Kim, HeeSun Bae, Jung Hyun Lee, Se Jung Kwon, Wanmo Kang, Il-chul Moon
Affiliations: KAIST; KAIST & summary.ai; NAVER Cloud
Conference: iclr 2024 (main track)
Keywords: diffusion model;noisy label;robustness
Decision: Poster
Title: Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Authors: Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn
Affiliations: Google; VISTEC, Thailand; pixiv Inc.; Tokyo Institute of Technology, Japan
Conference: iclr 2024 (main track)
Keywords: diffusion models;heavy ball momentum;divergence artifacts;numerical method;ode solver;image generation
Decision: Poster
Title: FairerCLIP: Debiasing CLIP's Zero-Shot Predictions using Functions in RKHSs
Authors: Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti
Affiliations: Michigan State University
Conference: iclr 2024 (main track)
Keywords: CLIP;debiasing;fair representation learning;vision-language models;dependence measure;zero-shot
Decision: Poster