hunoutl/paperlists huggingface dataset:
Title: Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
Authors: Dominique Beaini, Shenyang(Andy) Huang, Joao Cunha, Zhiyi Li, Gabriela Moisescu-Pareja, Oleksandr Dymov, Samuel Maddrell-Mander, Callum McLean, Frederik Wenkel, Luis Müller, Jama Hussein Mohamud, Ali Parviz, Michael Craig, Michał Koziarski, Jiarui Lu, Zhaocheng Zhu, Cristian Gabellini, Kerstin Klaser, Josef Dean, Cas Wognum, Maciej Sypetkowski, Guillaume Rabusseau, Reihaneh Rabbany, Jian Tang, Christopher Morris, Mirco Ravanellu, Guy Wolf, Prudencio Tossou, Hadrien Mary, Therence Bois, Andrew Fitzgibbon, Blazej Banaszewski, Chad Martin, Dominic Masters
Affiliations: Valence Labs; RWTH Aachen University; Mila - Québec AI Institute; Graphcore
Conference: iclr 2024 (main track)
Keywords: graph neural networks;Datasets;molecules;molecular graphs;Quantum;Multi-task;foundation model
Decision: Poster
Title: From Zero to Turbulence: Generative Modeling for 3D Flow Simulation
Authors: Marten Lienen, David Lüdke, Jan Hansen-Palmus, Stephan Günnemann , Department of Informatics & Munich Data Science Institute , Technical University of Munich, Germany , {m.lienen,d.luedke,j.hansen-palmus,s.guennemann}@tum.de 
Affiliations: Department of Informatics & Munich Data Science Institute, Technical University of Munich, Germany
Conference: iclr 2024 (main track)
Keywords: pde;generative;diffusion;navier-stokes;cfd
Decision: Poster
Title: INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
Authors: Chao Chen, Kai Liu, Ze Chen, Yi Gu, Yue Wu, Mingyuan Tao, Zhihang Fu, Jieping Ye
Affiliations: Alibaba Cloud; Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Hallucination Detection;LogDet of Covariance Matrix;Eigenvalues;Feature Clipping
Decision: Poster
Title: Retrieval-based Disentangled Representation Learning with Natural Language Supervision
Authors: Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Xin Jiang, Qun Liu, Lei Chen
Affiliations: Huawei Noah’s Ark Lab; The Hong Kong University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Disentangled representation learning;information retriever;sparse retriever
Decision: Spotlight
Title: Diffusion Model for Dense Matching
Authors: Jisu Nam, Gyuseong Lee, Seonwoo Kim, Inès Hyeonsu Kim, Hyoungwon Cho, Seyeon Kim, Seungryong Kim
Affiliations: LG Electronics; KT; Korea University
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Visual Correspondence
Decision: Oral
Title: Learning dynamic representations of the functional connectome in neurobiological networks
Authors: Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley, Eviatar Yemini, Steven Zucker
Affiliations: Dept. Computer Science, Yale University; Dept. Neurobiology, UMass Chan Medical School
Conference: iclr 2024 (main track)
Keywords: neural networks;non-negative tensor factorization;dynamic community detection;functional connectome
Decision: Poster
Title: Clifford Group Equivariant Simplicial Message Passing Networks
Authors: Cong Liu, David Ruhe, Floor Eijkelboom, Patrick Forré
Conference: iclr 2024 (main track)
Keywords: Clifford Algebra;Geometric Algebra;Graph Neural Networks;Simplicial Message Passing;Topological Deep Learning;Geometric Deep Learning;Equivariance
Decision: Poster
Title: Kalman Filter for Online Classification of Non-Stationary Data
Authors: Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki, Razvan Pascanu, Yee Whye Teh, Jorg Bornschein
Affiliations: Google DeepMind
Conference: iclr 2024 (main track)
Keywords: online learning;non-stationarity;Kalman filter;continual learning;probabilistic modellling
Decision: Poster
Title: iGraphMix: Input Graph Mixup Method for Node Classification
Authors: Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo, Geonsoo Kim, Kim Jin Seon
Affiliations: NCSOFT Co.; KRAFTON
Conference: iclr 2024 (main track)
Keywords: Graph Neural Network;Mixup;Node Classification;Data Augmentation;Theoretical Analysis
Decision: Poster
Title: StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning
Authors: Shengzhong Zhang, Wenjie Yang, Xinyuan Cao, Hongwei Zhang, Zengfeng Huang
Affiliations: Georgia Institute of Technology, Midtown, USA; Fudan University, Shanghai, China
Conference: iclr 2024 (main track)
Keywords: Graph Contrastive Learning;Scalable Training;Structural Compression
Decision: Poster
Title: Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis
Authors: Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing HONG, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang
Affiliations: Hong Kong University of Science and Technology; Huawei Noah’s Ark Lab
Conference: iclr 2024 (main track)
Keywords: Large language model;safety alignment;mistake analysis
Decision: Poster
Title: Object-Centric Learning with Slot Mixture Module
Authors: Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev, Aleksandr Panov
Affiliations: FRC CSC RAS, Moscow, Russia; FRC CSC RAS, Moscow, Russia; AIRI, Moscow, Russia; MIPT, Dolgoprudny, Russia; FRC CSC RAS, Moscow, Russia; Universit`a della Svizzera italiana, Lugano, Switzerland
Conference: iclr 2024 (main track)
Keywords: Object-centric representations;Gaussian Mixture Model;Slot Attention;Set Prediction Task
Decision: Poster
Title: Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
Authors: Liu Xiaoyi, Duxin Chen, Wenjia Wei, Xia Zhu, Wenwu Yu
Affiliations: Network Laboratory, 2012 Lab, Huawei Technologies Co. Ltd, Shenzhen 518129, China; School of Mathematics, Southeast University, Nanjing 210096, China
Conference: iclr 2024 (main track)
Keywords: time series;sparse system identification;long term prediction
Decision: Poster
Title: Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data
Authors: Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Aoi, Stephen Keeley
Affiliations: Icahn School of Medicine at Mount Sinai; Georgia Institute of Technology; University of California, San Diego; Fordham University
Conference: iclr 2024 (main track)
Keywords: Gaussian Processes;Latent Variable Models;Variational Autoencoders;Neuroscience
Decision: Poster
Title: InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules
Authors: Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
Affiliations: State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China; Applied Sciences Group, Microsoft Corporation, Redmond, USA
Conference: iclr 2024 (main track)
Keywords: Neural Radiance Fields;Hypernetwork;Neural Rendering;Generalizability
Decision: Poster
Title: LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
Authors: Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Osi, Prateek Sharma, Fan Chen, Lei Jiang
Affiliations: Indiana University; Jackson State University
Conference: iclr 2024 (main track)
Keywords: carbon footprint modeling;large lanaguage models
Decision: Oral
Title: The mechanistic basis of data dependence and abrupt learning in an in-context classification task
Authors: Gautam Reddy Nallamala
Affiliations: Department of Physics, Princeton University; Physics & Informatics Laboratories, NTT Research Inc.; Center for Brain Science, Harvard University
Conference: iclr 2024 (main track)
Keywords: in-context learning;mechanistic interpretability;language models;induction heads
Decision: Oral
Title: Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs
Authors: Kaixuan Ji, Qingyue Zhao, Jiafan He, Weitong ZHANG, Quanquan Gu
Conference: iclr 2024 (main track)
Keywords: reinforcement learning theory;reinforcement learning with adversarial reward;regret minimization;linear function approximation
Decision: Poster
Title: CompanyKG: A Large-Scale Heterogeneous Graph for Company Similarity Quantification
Affiliations: Affiliation (Please provide the actual affiliation(s) if available)
Conference: iclr 2024 (main track)
Keywords: knowledge graph;company similarity quantification;heterogeneous graph;benchmarks;self-supervised learning;graph neural network;text embedding;similarity prediction;similarity ranking;competitor retrieval;investment;private equity
Decision: Withdraw
Title: Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts
Authors: Ahmed Hendawy, Jan Peters, Carlo D'Eramo
Affiliations: Department of Computer Science, TU Darmstadt, Germany; Hessian Center for Artificial Intelligence (Hessian.ai), Germany; Department of Computer Science, TU Darmstadt, Germany; Center for Artificial Intelligence and Data Science, University of Würzburg, Germany; Department of Computer Science, TU Darmstadt, Germany; Center for Cognitive Science, TU Darmstadt, Germany; German Research Center for AI (DFKI), Systems AI for Robot Learning
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Multi-Task Learning;Mixture of Experts
Decision: Poster
Title: Soft Mixture Denoising: Beyond the Expressive Bottleneck of Diffusion Models
Authors: Yangming Li, Boris van Breugel, Mihaela van der Schaar
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Expressive Bottleneck;Soft Mixture Denoising (SMD)
Decision: Poster
Title: SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
Authors: Yulei Niu, Wenliang Guo, Long Chen, Xudong Lin, Shih-Fu Chang
Affiliations: The Hong Kong University of Science and Technology; Columbia University
Conference: iclr 2024 (main track)
Keywords: procedure planning; instructional video; state changes; large language models; vision and language alignment
Decision: Poster
Title: On the Posterior Distribution in Denoising: Application to Uncertainty Quantification
Authors: Hila Manor, Tomer Michaeli
Affiliations: Faculty of Electrical and Computer Engineering, Technion – Israel Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Gaussian Denoising;Posterior Moments Estimation;Uncertainty Quantification;Uncertainty Visualization
Decision: Poster
Title: Decision ConvFormer: Local Filtering in MetaFormer is Sufficient for Decision Making
Authors: Jeonghye Kim, Su Young Lee, Woojun Kim, Youngchul Sung
Affiliations: KAIST; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: MetaFormer;Convolution;Reinforcement Learning;Representation Learning
Decision: Spotlight
Title: Entropy Coding of Unordered Data Structures
Authors: Julius Kunze, Daniel Severo, Giulio Zani, Jan-Willem van de Meent, James Townsend
Affiliations: University of Toronto and Vector Institute; University College London; University of Amsterdam
Conference: iclr 2024 (main track)
Keywords: graph compression;entropy coding;neural compression;bits-back coding;lossless compression;generative models;information theory;probabilistic models;graph neural networks;multiset compression;asymmetric numeral systems;compression;entropy;shuffle coding
Decision: Poster
Title: Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech
Authors: Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang
Affiliations: NVIDIA, Internship at NVIDIA; NVIDIA; Research Center for Information Technology Innovation, Academia Sinica
Conference: iclr 2024 (main track)
Keywords: Self-Supervised Learning;Speech Quality Estimation;Speech Enhancement
Decision: Poster
Title: Making Pre-trained Language Models Great on Tabular Prediction
Authors: Jiahuan Yan, Bo Zheng, Hongxia Xu, Yiheng Zhu, Danny Chen, Jimeng Sun, Jian Wu, Jintai Chen
Affiliations: University of Illinois at Urbana-Champaign; University of Notre Dame; Zhejiang University; The Second Affiliated Hospital Zhejiang University School of Medicine, Zhejiang University
Conference: iclr 2024 (main track)
Keywords: language models;classification and regression;model pre-training;tabular data
Decision: Spotlight
Title: Unveiling and Manipulating Prompt Influence in Large Language Models
Authors: Zijian Feng, Hanzhang Zhou, ZIXIAO ZHU, Junlang Qian, Kezhi Mao
Affiliations: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore; Institute of Catastrophe Risk Management, Interdisciplinary Graduate Programme, Nanyang Technological University, Singapore; School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore & Future Resilient Systems Programme, Singapore-ETH Centre, CREATE Campus, Singapore
Conference: iclr 2024 (main track)
Keywords: Large language models;prompt interpretability;prompt manipulation;controlled LLM generation
Decision: Poster
Title: A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Authors: Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
Affiliations: Snap Inc.; Vanderbilt University
Conference: iclr 2024 (main track)
Keywords: Link prediction; Graph Topology; Graph Neural Network ; Cold-start Issues
Decision: Poster
Title: Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation
Authors: Qiang HE, Tianyi Zhou, Meng Fang, Setareh Maghsudi
Affiliations: University of Maryland, College Park; University of Liverpool; Ruhr University Bochum
Conference: iclr 2024 (main track)
Keywords: representation learning;deep reinforcement learning
Decision: Poster
Title: Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts
Authors: Jian Xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su
Affiliations: School of Computer Science, Fudan University; The Ohio State University; The Pennsylvania State University
Conference: iclr 2024 (main track)
Keywords: Large Langugage Model;Knowledge Conflict;Tool Augmentation
Decision: Spotlight
Title: Expressivity of ReLU-Networks under Convex Relaxations
Authors: Maximilian Baader, Mark N Müller, Yuhao Mao, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2024 (main track)
Keywords: Convex Relaxations;Neural Network Verification;Certified Robustness;Adversarial Robustness;Universal Approximation
Decision: Poster
Title: The Hidden Language of Diffusion Models
Authors: Hila Chefer, Oran Lang, Mor Geva, Volodymyr Polosukhin, Assaf Shocher, michal Irani, Inbar Mosseri, Lior Wolf
Affiliations: Google Research∗, Tel-Aviv University; Google Research, Weizmann Institute; Tel-Aviv University; Google DeepMind; Google Research
Conference: iclr 2024 (main track)
Keywords: Interpretability;Explainability;Text-to-image models
Decision: Poster
Title: KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Authors: Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul, Rahee Peshawaria, Ranjita Naik, Besmira Nushi
Affiliations: Stanford University; University of Illinois Urbana-Champaign; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: language model evaluation;benchmark;constraint satisfaction;information retrieval;retrieval-augmented architecture
Decision: Poster
Title: Representation Deficiency in Masked Language Modeling
Authors: Yu Meng, Jitin Krishnan, Sinong Wang, Qifan Wang, Yuning Mao, Han Fang, Marjan Ghazvininejad, Jiawei Han, Luke Zettlemoyer
Affiliations: Meta AI; University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Masked Language Modeling
Decision: Poster
Title: Supervised Knowledge Makes Large Language Models Better In-context Learners
Authors: Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang
Affiliations: School of Engineering, Westlake University; Westlake Institute for Advanced Study; Peking University; School of Engineering, Westlake University; Microsoft
Conference: iclr 2024 (main track)
Keywords: In-context Learning; Out-of-distribution Generalization; Reliability
Decision: Poster
Title: COSA: Concatenated Sample Pretrained Vision-Language Foundation Model
Authors: Sihan Chen, Xingjian He, Handong Li, Xiaojie Jin, Jiashi Feng, Jing Liu
Affiliations: Institute of Automation, Chinese Academy of Science; School of Artificial Intelligence, University of Chinese Academy of Sciences; Bytedance Inc.; School of Artificial Intelligence, University of Chinese Academy of Sciences; Bytedance Inc.
Conference: iclr 2024 (main track)
Keywords: Vision-Language Foundation Model;Video-Language Pretraining
Decision: Poster
Title: Understanding In-Context Learning from Repetitions
Authors: Jianhao (Elliott) Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li, Yue Zhang
Affiliations: Baidu Research; School of Engineering, Westlake University, Institute of Advanced Technology, Westlake Institute for Advanced Study; Zhejiang University, School of Engineering, Westlake University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: In-context learning;Large language models;Repetition
Decision: Poster
Title: Latent Representation and Simulation of Markov Processes via Time-Lagged Information Bottleneck
Authors: Marco Federici, Patrick Forré, Ryota Tomioka, Bas Veeling
Affiliations: AI4Science Lab, AMLab, University of Amsterdam; AMLab, University of Amsterdam; Microsoft Research AI4Science
Conference: iclr 2024 (main track)
Keywords: Markov Processes;Information Theory;Information Bottleneck;Latent Simulation
Decision: Poster
Title: Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?
Authors: Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang, Siyuan Qi, Dongfang Liu
Affiliations: Rochester Institute of Technology1, University of Missouri - Kansas City2; Virginia Tech6; University of Florida4; Meta AI3; BIGAI7†; Rochester Institute of Technology1; Zhejiang University5
Conference: iclr 2024 (main track)
Keywords: Visual prompt tuning
Decision: Poster
Title: UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving
Authors: Kai Cheng, Xiaoxiao Long, Wei Yin, Jin Wang, Zhiqiang Wu, Yuexin Ma, Kaixuan Wang, Xiaozhi Chen, Xuejin Chen
Affiliations: DJI Technology; MoE Key Laboratory of Brain-inspired Intelligent Perception and Cognition, University of Science and Technology of China; The University of Hong Kong; ShanghaiTech University; PKU-Wuhan Institute for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Neural radiance field;Multi-cameras;Under-Calibration;Color Inconsistency
Decision: Poster
Title: Boundary Denoising for Video Activity Localization
Authors: Mengmeng Xu, Mattia Soldan, Jialin Gao, Shuming Liu, Juan-Manuel Perez-Rua, Bernard Ghanem
Affiliations: Meta AI; King Abdullah University of Science and Technology (KAUST); National University of Singapore
Conference: iclr 2024 (main track)
Keywords: video activity localization;boundary denoising
Decision: Poster
Title: Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
Authors: Linlu Qiu, Liwei Jiang, Ximing Lu, Melanie Sclar, Valentina Pyatkin, Chandra Bhagavatula, Bailin Wang, Yoon Kim, Yejin Choi, Nouha Dziri, Xiang Ren
Affiliations: Allen Institute for Artificial Intelligence, University of Southern California; University of Washington; Massachusetts Institute of Technology; Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence, University of Washington
Conference: iclr 2024 (main track)
Keywords: language model;natural language processing;inductive reasoning
Decision: Oral
Title: Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time
Authors: Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen, Charles Ling, Boyu Wang
Affiliations: Noah’s Ark Lab; University of Western Ontario; University of Toronto; Vector Institute
Conference: iclr 2024 (main track)
Keywords: Distribution Shift;Temporal Distribution Shift
Decision: Oral
Title: Exploring Diffusion Time-steps for Unsupervised Representation Learning
Authors: Zhongqi Yue, Jiankun Wang, Qianru Sun, Lei Ji, Eric Chang, Hanwang Zhang
Affiliations: Nanyang Technological University; Skywork AI; Microsoft Research Asia; Singapore Management University
Conference: iclr 2024 (main track)
Keywords: unsupervised representation learning;diffusion model;representation disentanglement;counterfactual generation
Decision: Poster
Title: R-MAE: Regions Meet Masked Autoencoders
Authors: Duy-Kien Nguyen, Yanghao Li, Vaibhav Aggarwal, Martin R. Oswald, Alexander Kirillov, Cees G Snoek, Xinlei Chen
Affiliations: FAIR, Meta AI; University of Amsterdam
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;representation learning
Decision: Poster
Title: Multilinear Operator Networks
Authors: Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos, Volkan Cevher
Affiliations: University of Wisconsin-Madison; LIONS - Ecole Polytechnique Fédérale de Lausanne
Conference: iclr 2024 (main track)
Keywords: Polynomial Networks;Image recognition
Decision: Poster
Title: MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods
Authors: Mara Finkelstein, Markus Freitag
Affiliations: Google
Conference: iclr 2024 (main track)
Keywords: Generative models;Natural language generation;Neural machine translation;LLMs;MBR decoding;Quality estimation;Finetuning;Distillation
Decision: Poster
Title: A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
Authors: DIPANJYOTI PAUL, Arpita Chowdhury, Xinqi Xiong, Feng-Ju Chang, David Carlyn, Samuel Stevens, Kaiya Provost, Anuj Karpatne, Bryan Carstens, Daniel Rubenstein, Charles Stewart, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao
Affiliations: Princeton University; The Ohio State University; Virginia Tech; Rensselaer Polytechnic Institute; Amazon Alexa
Conference: iclr 2024 (main track)
Keywords: Explainability;Interpretability;Transformer;Fine-grained recognition;Attribute discovery
Decision: Poster
Title: Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning
Authors: Feiyang YE, YUEMING LYU, Xuehao Wang, Yu Zhang, Ivor Tsang
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; Centre for Frontier AI Research, Agency for Science, Technology and Research, Singapore; Shanghai Artificial Intelligence Laboratory; Department of Computer Science and Engineering, Southern University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Multi-Objective Optimization;Black-Box Optimization;Black-Box Multi-Objective Optimization
Decision: Poster
Title: Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Authors: Brian Zhang, Gabriele Farina, Tuomas Sandholm
Affiliations: Carnegie Mellon University, Strategic Machine, Inc., Strategy Robot, Inc., Optimized Markets, Inc.; Carnegie Mellon University; MIT
Conference: iclr 2024 (main track)
Keywords: extensive-form games;correlated equilibria;no-regret learning
Decision: Poster
Title: RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Authors: Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang
Affiliations: Graduate Institute of Communication Engineering, National Taiwan University, Taiwan; Graduate Institute of Communication Engineering, National Taiwan University, Taiwan; NVIDIA, Taiwan; NVIDIA, Taiwan
Conference: iclr 2024 (main track)
Keywords: Vision Question Answering Natural Language Explanation (VQA-NLE)
Decision: Poster
Title: AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Authors: Qihang Zhou, Guansong Pang, Yu Tian, Shibo He, Jiming Chen
Affiliations: Harvard University; Zhejiang University; Singapore Management University
Conference: iclr 2024 (main track)
Keywords: Anomaly detection;Zero-shot anomaly detection;CLIP;Industrial defect inspection
Decision: Poster