hunoutl/paperlists huggingface dataset:
Title: CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity
Authors: Aditya Bhatt, Daniel Palenicek, Boris Belousov, Max Argus, Artemij Amiranashvili, Thomas Brox, Jan Peters
Affiliations: Intelligent Autonomous Systems, TU Darmstadt; Hessian.AI; German Research Center for AI (DFKI); Intelligent Autonomous Systems, TU Darmstadt; Hessian.AI; German Research Center for AI (DFKI); Centre for Cognitive Science, TU Darmstadt; University of Freiburg; Intelligent Autonomous Systems, TU Darmstadt; German Research Center for AI (DFKI)
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning
Decision: Spotlight
Title: From Molecules to Materials: Pre-training Large Generalizable Models for Atomic Property Prediction
Authors: Nima Shoghi, Adeesh Kolluru, John Kitchin, Zachary Ulissi, Larry Zitnick, Brandon Wood
Affiliations: Carnegie Mellon University; Fundamental AI Research (FAIR) at Meta
Conference: iclr 2024 (main track)
Keywords: atomic property prediction;pre-training;3D atomic pre-training;graph neural networks;multi-task learning;molecules;materials
Decision: Poster
Title: Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data
Authors: Ce Ju, Reinmar Kobler, Liyao Tang, Cuntai Guan, Motoaki Kawanabe
Conference: iclr 2024 (main track)
Keywords: Geometric Deep Learning;Self-Supervised Learning;Brain-Computer Interfaces;Neuroimaging;Neuroscience
Decision: Spotlight
Title: SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression
Authors: Tim Dettmers, Ruslan Svirschevski, Vage Egiazarian, Denis Kuznedelev, Elias Frantar, Saleh Ashkboos, Alexander Borzunov, Torsten Hoefler, Dan Alistarh
Conference: iclr 2024 (main track)
Keywords: quantization;sparsity;large language models
Decision: Poster
Title: Adaptive Sharpness-Aware Pruning for Robust Sparse Networks
Authors: Anna Bair, Hongxu Yin, Maying Shen, Pavlo Molchanov, Jose M. Alvarez
Affiliations: NVIDIA; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: sparsity;pruning;natural robustness;flatness;sharpness;generalization;deep learning;out of distribution
Decision: Poster
Title: Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
Authors: Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
Affiliations: CMIC, Shanghai Jiao Tong University; TMLR Group, Hong Kong Baptist University; The Hong Kong University of Science and Technology (Guangzhou); Tsinghua University
Conference: iclr 2024 (main track)
Keywords: knowledge graph reasoning;graph sampling
Decision: Poster
Title: Guaranteed Approximation Bounds for Mixed-Precision Neural Operators
Authors: Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko, Kamyar Azizzadenesheli, anima anandkumar
Affiliations: NVIDIA; Caltech; University of Toronto
Conference: iclr 2024 (main track)
Keywords: neural operators
Decision: Poster
Title: Decodable and Sample Invariant Continuous Object Encoder
Authors: Dehao Yuan, Furong Huang, Cornelia Fermuller, Yiannis Aloimonos
Affiliations: Department of Computer Science, University of Maryland, College Park, MD 20740, USA
Conference: iclr 2024 (main track)
Keywords: Point Cloud;PointNet;Function Mapping;Encoder;Noise Robustness
Decision: Poster
Title: MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field
Authors: Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang, Xuejin Chen, Zexiang Xu, Hao Su
Affiliations: University of Science and Technology of China; University of California, San Diego; Adobe Research
Conference: iclr 2024 (main track)
Keywords: NeRF;Dynamic;Motion;Part discovery
Decision: Spotlight
Title: MOFI: Learning Image Representations from Noisy Entity Annotated Images
Authors: Wentao Wu, Aleksei Timofeev, Chen Chen, Bowen Zhang, Kun Duan, Shuangning Liu, Yantao Zheng, Jonathon Shlens, Xianzhi Du, Yinfei Yang
Affiliations: Apple AI/ML
Conference: iclr 2024 (main track)
Keywords: Image representation;image embedding;image based search
Decision: Poster
Title: OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
Authors: Kezhi Kong, Jiani Zhang, Zhengyuan Shen, Balasubramaniam Srinivasan, Chuan Lei, Christos Faloutsos, Huzefa Rangwala, George Karypis
Affiliations: University of Maryland, College Park; Amazon Web Services
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Table Reasoning
Decision: Poster
Title: Scalable and Effective Implicit Graph Neural Networks on Large Graphs
Authors: Juncheng Liu, Bryan Hooi, Kenji Kawaguchi, Yiwei Wang, Chaosheng Dong, Xiaokui Xiao
Affiliations: University of California, Los Angeles; National University of Singapore; Amazon.com Inc.
Conference: iclr 2024 (main track)
Keywords: graph neural networks;implicit graph neural networks;implicit models;graph learning
Decision: Poster
Title: Towards Category Unification of 3D Single Object Tracking on Point Clouds
Authors: Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Affiliations: MoE Key Lab of Artificial Intelligence, AI Institute, Shanghai Jiao Tong University, China; School of Electronics and Information, Hangzhou Dianzi University, China; School of Computer Science, Hanyang University, Korea
Conference: iclr 2024 (main track)
Keywords: 3D single object tracking;Category-unified model;Point clouds
Decision: Poster
Title: Get more for less: Principled Data Selection for Warming Up Fine-Tuning in LLMs
Authors: Feiyang Kang, Hoang Anh Just, Yifan Sun, Himanshu Jahagirdar, Yuanzhi Zhang, Rongxing Du, Anit Kumar Sahu, Ruoxi Jia
Affiliations: Columbia University, New York, NY, USA; Virginia Tech, Blacksburg, VA, USA; Amazon, Seattle, WA, USA
Conference: iclr 2024 (main track)
Keywords: Data Selection;Large Language Model;Optimal Transport;Data-centric AI;Data Efficiency
Decision: Poster
Title: LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment
Authors: Bin Zhu, Bin Lin, Munan Ning, YANG YAN, Jiaxi Cui, WANG HongFa, Yatian Pang, Wenhao Jiang, Junwu Zhang, Zongwei Li, Cai Zhang, Zhifeng Li, Wei Liu, Yuan Li
Affiliations: Peking University, Pengcheng Lab; Tencent Data Platform; Peking University; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ); Peking University, Tencent Data Platform; National University of Singapore; Nari Technology Development Limited Company
Conference: iclr 2024 (main track)
Keywords: LanguageBind;Multi-modal Pretraining;Multi-modal Dataset
Decision: Poster
Title: Localizing and Editing Knowledge In Text-to-Image Generative Models
Authors: Samyadeep Basu, Nanxuan Zhao, Vlad Morariu, Soheil Feizi, Varun Manjunatha
Affiliations: University of Maryland; Adobe Research
Conference: iclr 2024 (main track)
Keywords: text-to-image;interpretability;model editing
Decision: Poster
Title: It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
Authors: CHEN CHEN, Ruizhe Li, Yuchen Hu, Sabato Siniscalchi, Pin-Yu Chen, Ensiong Chng, Huck Yang
Affiliations: MIT-IBM Waston AI Lab; University of Palermo; Georgia Institute of Technology and NVIDIA Research; University of Aberdeen; Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: Automatic speech recognition;large language model;generative error correction.
Decision: Poster
Title: Pseudo-Generalized Dynamic View Synthesis from a Video
Authors: Xiaoming Zhao, R Colburn, Fangchang Ma, MIGUEL ANGEL BAUTISTA, Joshua Susskind, Alex Schwing
Affiliations: Apple; Apple; University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: dynamic novel view synthesis;generalized novel view synthesis
Decision: Poster
Title: TorchRL: A data-driven decision-making library for PyTorch
Authors: Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens
Affiliations: UPF; PyTorch, Meta; ICREA, UPF, Acellera; UPF, Acellera; Meta AI; University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;pytorch;control;robotics
Decision: Spotlight
Title: Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
Authors: Yuan Yuan, Chenyang Shao, Jingtao Ding, Depeng Jin, Yong Li
Affiliations: Department of Electronic Engineering, BNRist, Tsinghua University, Beijing, China; Not provided in the text
Conference: iclr 2024 (main track)
Keywords: Spatio-Temporal Few-Shot Learning;Diffusion models;Neural Network Generation
Decision: Poster
Title: MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use
Authors: Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Gong, Lichao Sun
Affiliations: Huazhong University of Science and Technology; University of Cambridge; Lehigh University; Duke University
Conference: iclr 2024 (main track)
Keywords: Tool usage;large language model;benchmark;dataset
Decision: Poster
Title: Memory-Consistent Neural Networks for Imitation Learning
Authors: Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman, James Weimer, Insup Lee
Affiliations: University of Pennsylvania, Vanderbilt University; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Imitation Learning;Behavior Cloning;Deep Learning
Decision: Poster
Title: PAE: Reinforcement Learning from External Knowledge for Efficient Exploration
Authors: Zhe Wu, Haofei Lu, Junliang Xing, You Wu, Renye Yan, Yaozhong Gan, Yuanchun Shi
Affiliations: Department of Computer Science and Technology, Tsinghua University; QiYuan Lab, Tsinghua University; QiYuan Lab, Tsinghua University and Peking University; QiYuan Lab, Tsinghua University and Nanjing University
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;exploration;intrinsic motivation;knowledge
Decision: Poster
Title: Don't Judge by the Look: Towards Motion Coherent Video Representation
Authors: Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu
Affiliations: Department of Electrical and Computer Engineering, Northeastern University/Khoury College of Computer Science, Northeastern University; Department of Electrical and Computer Engineering, Northeastern University
Conference: iclr 2024 (main track)
Keywords: Video Understanding;Data Augmentation
Decision: Poster
Title: Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Authors: Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington and Allen Institute for Artificial Intelligence; Paul G. Allen School of Computer Science & Engineering, University of Washington; University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: large language models;sensitivity analysis;prompt engineering;evaluation;prompting;robustness;in-context learning;spurious features
Decision: Poster
Title: ConR: Contrastive Regularizer for Deep Imbalanced Regression
Authors: Mahsa Keramati, Lili Meng, R. Evans
Affiliations: Borealis AI; Borealis AI, School of Computing Science, Simon Fraser University
Conference: iclr 2024 (main track)
Keywords: Deep imbalanced regression;Contrastive learning;Representation learning
Decision: Poster
Title: Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Authors: Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski, Pedro Hermosilla
Affiliations: TU Vienna; Ulm University
Conference: iclr 2024 (main track)
Keywords: Weakly Supervised Object Detection;Limited Annotation Time;Bounding Box Regression;Electron Microscopy
Decision: Poster
Title: Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees
Authors: Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun
Affiliations: Cornell University; University of California, Berkeley; Carnegie Mellon University; MIT
Conference: iclr 2024 (main track)
Keywords: reinforcement learning theory;hybrid reinforcement learning;actor critic method;online reinforcement learning;offline reinforcement learning
Decision: Poster
Title: Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration
Authors: Yifeng Fan, Yongqiang Li, Bo Chen
Affiliations: Zhejiang University of Technology
Conference: iclr 2024 (main track)
Keywords: extragradient;minimax;nonconvex-nonconcave;variational inequilities;saddle point problem
Decision: Poster
Title: Efficient Continual Finite-Sum Minimization
Authors: Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Dadi, Volkan Cevher
Affiliations: LIONS, École Polytechnique Fédérale de Lausanne
Conference: iclr 2024 (main track)
Keywords: Finite Sum Minimization;Variance Reduction;Optimization
Decision: Poster
Title: Ensemble Distillation for Unsupervised Constituency Parsing
Authors: Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu, Jackie Cheung, Lili Mou
Affiliations: Borealis AI; Dept. Computing Science, Alberta Machine Intelligence Institute (Amii), University of Alberta; Canada CIFAR AI Chair; Quebec Artificial Intelligence Institute (MILA), McGill University; Dept. Electrical and Computer Engineering, Queen’s University
Conference: iclr 2024 (main track)
Keywords: Constituency Parsing;Unsupervised Grammar Induction;Knowledge Distillation
Decision: Poster
Title: TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
Authors: Zuxin Liu, Jesse Zhang, Kavosh Asadi, Yao Liu, DING ZHAO, Shoham Sabach, Rasool Fakoor
Affiliations: Amazon Web Services; Carnegie Mellon University; University of Southern California
Conference: iclr 2024 (main track)
Keywords: Efficient Adaptation;Continual Learning;Robot Learning;Language-Conditioned Visuomotor Control;Few-shot Adaptation;Large Pretrained Models;Imitation Learning;Transfer Learning
Decision: Poster
Title: Sufficient conditions for offline reactivation in recurrent neural networks
Authors: Nanda H Krishna, Colin Bredenberg, Daniel Levenstein, Blake A Richards, Guillaume Lajoie
Affiliations: McGill University; Mila – Quebec AI Institute, Université de Montréal, Canada CIFAR AI Chair; Mila – Quebec AI Institute, McGill University, Canada CIFAR AI Chair, CIFAR Learning in Machines & Brains; Mila – Quebec AI Institute, Université de Montréal
Conference: iclr 2024 (main track)
Keywords: computational neuroscience;offline reactivation;replay;recurrent neural networks;path integration;noise
Decision: Poster
Title: Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Authors: Xiaoxin He, Xavier Bresson, Thomas Laurent, Adam Perold, Yann LeCun, Bryan Hooi
Affiliations: New York University; Element, Inc.; National University of Singapore; Loyola Marymount University
Conference: iclr 2024 (main track)
Keywords: large language models (LLM);feature learning;text attributed graphs (TAG);graph neural networks (GNN)
Decision: Poster
Title: Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
Authors: Xiong Zhou, Xianming Liu, feilong zhang, Gang Wu, Deming Zhai, Junjun Jiang, Xiangyang Ji
Affiliations: Department of Automation, Tsinghua University; Faculty of Computing, Harbin Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Unsupervised Domain Adaptation;Learning with Noisy Labels
Decision: Poster
Title: Tree Search-Based Policy Optimization under Stochastic Execution Delay
Authors: David Valensi, Esther Derman, Shie Mannor, Gal Dalal
Affiliations: Technion; Technion & Nvidia Research; Nvidia Research
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Delay;EfficientZero;Tree-search;Sample efficiency
Decision: Poster
Title: NaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers
Authors: Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yichong Leng, Lei He, Tao Qin, sheng zhao, Jiang Bian
Affiliations: University of Science and Technology of China; Zhejiang University; Microsoft Research Asia & Microsoft Azure Speech
Conference: iclr 2024 (main track)
Keywords: text-to-speech;large-scale corpus;non-autoregressive;diffusion
Decision: Spotlight
Title: RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
Authors: Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li, Zicheng Liu, Stan Z Li
Affiliations: Zhejiang University, Hangzhou, China; AI Lab, Research Center for Industries of the Future, Westlake University, Hangzhou, China; AI Lab, Research Center for Industries of the Future, Westlake University, Hangzhou, China; McGill University, Montréal, Québec, Canada
Conference: iclr 2024 (main track)
Keywords: Bioinformatics
Decision: Poster
Title: Learning to Make Adherence-aware Advice
Authors: Guanting Chen, Xiaocheng Li, Chunlin Sun, Hanzhao Wang
Affiliations: Imperial College Business School, Imperial College London; Institute for Computational and Mathematical Engineering, Stanford University; Department of Statistics and Operations Research, UNC-Chapel Hill
Conference: iclr 2024 (main track)
Keywords: Human-AI interaction;Reinforcement Learning
Decision: Poster
Title: Achieving Human Parity in Content-Grounded Datasets Generation
Authors: Asaf Yehudai, Boaz Carmeli, Yosi Mass, Ofir Arviv, Nathaniel Mills, Eyal Shnarch, Leshem Choshen
Affiliations: Hebrew University of Jerusalem; IBM Israel Research Lab; IBM Israel Research Lab, MIT
Conference: iclr 2024 (main track)
Keywords: Data Generation;content grounded long-form question-answering;summarization
Decision: Poster
Title: A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
Authors: Tatjana Chavdarova, Tong Yang, Matteo Pagliardini, Michael Jordan
Affiliations: University of California, Berkeley & EPFL; University of California, Berkeley; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Variational Inequaly;optimization;constraints;primal-dual;interior-point method;Monotone operator;last iterate convergence
Decision: Poster
Title: Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
Authors: Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China; School of Artificial Intelligence, School of Intelligence Science and Technology, Nanjing University, Nanjing 210023, China; National Key Laboratory for Novel Software Technology, School of Intelligence Science and Technology, Nanjing University, Nanjing 210023, China; National Key Laboratory for Novel Software Technology, School of Artificial Intelligence, Nanjing University, Nanjing 210023, China
Conference: iclr 2024 (main track)
Keywords: Semi-Supervised Learning; Robustness; Open Environments
Decision: Spotlight
Title: What's In My Big Data?
Authors: Yanai Elazar, Akshita Bhagia, Ian Magnusson, Abhilasha Ravichander, Dustin Schwenk, Alane Suhr, Pete Walsh, Dirk Groeneveld, Luca Soldaini, Sameer Singh, Hannaneh Hajishirzi, Noah Smith, Jesse Dodge
Affiliations: Allen Institute for AI, Paul G. Allen School of Computer Science & Engineering, University of Washington; University of California, Berkeley; University of California, Irvine; Allen Institute for AI
Conference: iclr 2024 (main track)
Keywords: nlp;dataset;analaysis;data-statistics;data-quality;PII
Decision: Spotlight
Title: BrainLM: A foundation model for brain activity recordings
Authors: Josue Ortega Caro, Antonio Henrique de Oliveira Fonseca, Christopher Averill, Syed Rizvi, Matteo Rosati, James Cross, Prateek Mittal, Emanuele Zappala, Rahul Dhodapkar, Chadi Abdallah, David Dijk
Affiliations: Interdepartmental Neuroscience Program, Yale University; Baylor College of Medicine; Department of Mathematics and Statistics, Idaho State University; Wu Tsai Institute, Yale University; University of Southern California; Yale School of Medicine; Wu Tsai Institute, Interdepartmental Neuroscience Program, Department of Computer Science, Interdepartmental Program in Computational Biology & Bioinformatics, Internal Medicine, Cardiovascular Research Center, Yale University; Department of Computer Science, Yale University
Conference: iclr 2024 (main track)
Keywords: foundation model;fMRI
Decision: Poster
Title: A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Authors: Tommaso Salvatori, Yuhang Song, Yordan Yordanov, Beren Millidge, Lei Sha, Cornelius Emde, Zhenghua Xu, Rafal Bogacz, Thomas Lukasiewicz
Affiliations: VERSES AI Research Lab, Los Angeles, California, 90016, USA; Department of Computer Science, University of Oxford, UK; Institute of Logic and Computation, Vienna University of Technology, Austria; School of Health Sciences and Biomedical Engineering, Hebei University of Technology, China; MRC Brain Network Dynamics Unit, University of Oxford, UK
Conference: iclr 2024 (main track)
Keywords: Cognitive Science;parallelization
Decision: Poster
Title: $t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence
Authors: Juno Kim, Jaehyuk Kwon, Mincheol Cho, Hyunjong Lee, Joong-Ho Won
Affiliations: Department of Statistics, Seoul National University; Department of Mathematical Informatics, The University of Tokyo; Center for Advanced Intelligence Project, RIKEN
Conference: iclr 2024 (main track)
Keywords: Variational autoencoder;Information geometry;Heavy-tail learning;Generative model
Decision: Poster
Title: Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Authors: Binwu Wang, Pengkun Wang, Wei Xu, Xu Wang, Yudong Zhang, Kun Wang, Yang Wang
Affiliations: University of Science and Technology of China (USTC), Hefei, China and Suzhou Institute for Advanced Research, USTC, Suzhou, China; Key Laboratory of Precision and Intelligent Chemistry, University of Science and Technology of China, Hefei, China and University of Science and Technology of China (USTC), Hefei, China and Suzhou Institute for Advanced Research, USTC, Suzhou, China; University of Science and Technology of China (USTC), Hefei, China
Conference: iclr 2024 (main track)
Keywords: Long-tailed learning;data augmentation;imbalance;fairness
Decision: Poster
Title: A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
Authors: Erdun Gao, Howard Bondell, Wei Huang, Mingming Gong
Affiliations: School of Mathematics and Statistics, The University of Melbourne; Mohamed bin Zayed University of Artificial Intelligence; School of Mathematics and Statistics, The University of Melbourne
Conference: iclr 2024 (main track)
Keywords: treatment effect estimation;continuous treatment;measurement error
Decision: Poster
Title: Do Generated Data Always Help Contrastive Learning?
Authors: Yifei Wang, Jizhe Zhang, Yisen Wang
Affiliations: National Key Lab of General Artiﬁcial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artiﬁcial Intelligence, Peking University; School of Mathematical Sciences, Peking University; Institute of Artiﬁcial Intelligence and Robotics, Xi’an Jiaotong University
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Diffusion Model;Representation Learning;Self-supervised Learning;Deep Learning
Decision: Poster
Title: Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP
Authors: Zixiang Chen, Yihe Deng, Yuanzhi Li, Quanquan Gu
Affiliations: Machine Learning Department, Carnegie Mellon University, Pittsburgh; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: Representation Learning;Multimodal learning;Learning Theory
Decision: Poster
Title: THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
Authors: Junchi Yu, Ran He, Rex Ying
Affiliations: MAIS & CRIPAC, Institute of Automation, University of Chinese Academy of Sciences, Beijing, China; Department of Computer Sciences, Yale University, New Haven, USA
Conference: iclr 2024 (main track)
Keywords: LLM Complex Reasoning;Language Model Reasoning
Decision: Poster