hunoutl/paperlists huggingface dataset:
Title: Set Learning for Accurate and Calibrated Models
Authors: Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus R Muller
Affiliations: Machine Learning Group, Technische Universität Berlin, Germany; Berlin Institute for the Foundations of Learning and Data, Berlin, Germany; Google DeepMind; Department of Artificial Intelligence, Korea University, Seoul; Max Planck Institute for Informatics, Saarbrücken, Germany; Machine Learning Group, Technische Universität Berlin, Germany; Berlin Institute for the Foundations of Learning and Data, Berlin, Germany; Google DeepMind; Machine Learning Group, Technische Universität Berlin, Germany; Berlin Institute for the Foundations of Learning and Data, Berlin, Germany; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: set learning;calibration;overconfidence;class imbalance;long-tailed classification;low data;classification calibration;safety
Decision: Poster
Title: Topic Modeling as Multi-Objective Contrastive Optimization
Authors: Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See-Kiong Ng, Anh Tuan Luu
Affiliations: Nanyang Technological University (NTU), Singapore; Carnegie Mellon University (CMU), USA; Institute of Data Science (IDS), National University of Singapore (NUS), Singapore
Conference: iclr 2024 (main track)
Keywords: neural topic model; contrastive learning
Decision: Poster
Title: Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
Authors: Patricia Pauli, Aaron Havens, Alexandre Araujo, Siddharth Garg, Farshad Khorrami, Frank Allgöwer, Bin Hu
Affiliations: ECE, New York University; Institute for Systems Theory and Automatic Control, University of Stuttgart; ECE & CSL, University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Neural Networks;Semidefinite Programming;Lipschitz Constant Estimation
Decision: Poster
Title: SGD Finds then Tunes Features in Two-Layer Neural Networks with near-Optimal Sample Complexity: A Case Study in the XOR problem
Authors: Margalit Glasgow
Affiliations: Department of Computer Science, Stanford University, Stanford, CA 94305, USA
Conference: iclr 2024 (main track)
Keywords: optimization;stochastic gradient descent;two-layer neural network;sample complexity
Decision: Spotlight
Title: Can Transformers Capture Spatial Relations between Objects?
Authors: Chuan Wen, Dinesh Jayaraman, Yang Gao
Affiliations: Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Artificial Intelligence Laboratory; Shanghai Qi Zhi Institute; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Spatial relation;Transformer;Spatial predicates;Visual recognition;Neural network architecture
Decision: Poster
Title: Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
Authors: Ziyang Xiao, Dongxiang Zhang, Yangjun Wu, Lilin Xu, Yuan Wang, Xiongwei Han, Xiaojin Fu, Tao Zhong, Jia Zeng, Mingli Song, Gang Chen
Affiliations: Huawei Noah’s Ark Lab; Zhejiang University; Polytechnic University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Operations Research
Decision: Poster
Title: Oracle Efficient Algorithms for Groupwise Regret
Authors: Krishna Acharya, Eshwar Ram Arunachaleswaran, Sampath Kannan, Aaron Roth, Juba Ziani
Affiliations: Georgia Institute of Technology; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Oracle efficiency;online learning;groupwise regret;sleeping experts
Decision: Poster
Title: Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Authors: Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li
Affiliations: University of Washington; The Hong Kong University of Science and Technology; Rutgers University
Conference: iclr 2024 (main track)
Keywords: Interpretability;Concepts;Energy-Based Model;Probabilistic Methods
Decision: Poster
Title: Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
Authors: Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University and Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: generalization;sharpness-aware minimization;domain shift
Decision: Poster
Title: DiffusionSat: A Generative Foundation Model for Satellite Imagery
Authors: Samar Khanna, Patrick Liu, Linqi Zhou, Chenlin Meng, Robin Rombach, Marshall Burke, David Lobell, Stefano Ermon
Affiliations: Stanford University; Stability AI; Stanford University, CZ Biohub
Conference: iclr 2024 (main track)
Keywords: satellite images;generative models;diffusion models;computer vision
Decision: Poster
Title: Eureka: Human-Level Reward Design via Coding Large Language Models
Authors: Yecheng Jason Ma, William Liang, Guanzhi Wang, De-An Huang, Osbert Bastani, Dinesh Jayaraman, Yuke Zhu, Jim Fan, anima anandkumar
Affiliations: NVIDIA; Caltech; UT Austin; UPenn
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Reinforcement Learning;Dexterous Manipulation;Reward Learning;Robotics
Decision: Poster
Title: GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations
Authors: Zaishuo Xia, Han Yang, Binghui Wang, Jinyuan Jia
Affiliations: Sichuan University; Renmin University of China; Illinois Institute of Technology; The Pennsylvania State University
Conference: iclr 2024 (main track)
Keywords: Adversarial attacks to graph classification; provable robustness
Decision: Oral
Title: Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
Authors: Sheng Xu, Guiliang Liu
Affiliations: School of Data Science, The Chinese University of Hong Kong, Shenzhen
Conference: iclr 2024 (main track)
Keywords: Inverse Constrained Reinforcement Learning;Constrained Reinforcement Learning;Inverse Reinforcement Learning;Uncertainty Modeling
Decision: Poster
Title: Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model
Authors: Hugo Lebeau, Mohamed El Amine Seddik, José Henrique Goulart
Affiliations: Univ. Toulouse, INP-ENSEEIHT, IRIT, CNRS; Technology Innovation Institute; Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LIG
Conference: iclr 2024 (main track)
Keywords: random tensors;multi-view clustering;random matrix theory;tensor unfolding
Decision: Poster
Title: Learning Good Interventions in Causal Contextual Bandits with Adaptive Context
Conference: iclr 2024 (main track)
Keywords: Causal Bandits;Causality;Causal Inference;Simple Regret;Contextual Bandits;Causal Contextual Bandits;Convex Exploration;Intervention Complexity;Simple Regret;Simple regret lower bound
Decision: Reject
Title: Window Attention is Bugged: How not to Interpolate Position Embeddings
Authors: Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
Affiliations: FAIR, Meta; Georgia Tech
Conference: iclr 2024 (main track)
Keywords: Bug fix;window attention;position embeddings;high resolution finetuning;image classification;video classification;object detection;instance segmentation
Decision: Poster
Title: Learning Hierarchical Image Segmentation For Recognition and By Recognition
Authors: Tsung-Wei Ke, Sangwoo Mo, Stella Yu
Affiliations: University of California, Berkeley and University of Michigan, Ann Arbor; University of California, Berkeley; University of Michigan, Ann Arbor
Conference: iclr 2024 (main track)
Keywords: segmentation in the loop for recognition;hierarchical segmentation;part-to-whole recognition;vision transformer
Decision: Spotlight
Title: Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation
Authors: Jaemin Cho, Yushi Hu, Jason Baldridge, Roopal Garg, Peter Anderson, Ranjay Krishna, Mohit Bansal, Jordi Pont-Tuset, Su Wang
Affiliations: University of Washington; University of North Carolina at Chapel Hill; Google Research
Conference: iclr 2024 (main track)
Keywords: text-to-image generation;text-to-image evaluation;Davidsonian semantics;large language models;scene graphs;visual question answering;question generation;benchmark
Decision: Poster
Title: HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance
Authors: Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo
Affiliations: Stanford University; Stanford University, Snap Inc.
Conference: iclr 2024 (main track)
Keywords: Text-to-3D;Generative models;Diffusion models
Decision: Poster
Title: Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
Authors: Fan Shi, Bin Li, Xiangyang Xue
Affiliations: Shanghai Key Laboratory of Intelligent Information Processing, School of Computer Science, Fudan University
Conference: iclr 2024 (main track)
Keywords: Deep Latent Variable Models;Generative Models;Raven’s Progressive Matrix;Abstract Visual Reasoning
Decision: Poster
Title: Vanishing Gradients in Reinforcement Finetuning of Language Models
Authors: Noam Razin, Hattie Zhou, Omid Saremi, Vimal Thilak, Arwen Bradley, Preetum Nakkiran, Joshua Susskind, Etai Littwin
Affiliations: Mila, Université de Montréal; Apple; Apple, Tel Aviv University
Conference: iclr 2024 (main track)
Keywords: Vanishing Gradients;Reinforcement Finetuning;Supervised Finetuning;Language Models
Decision: Poster
Title: DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Authors: Junyuan Hong, Jiachen (Tianhao) Wang, Chenhui Zhang, Zhangheng LI, Bo Li, Zhangyang Wang
Affiliations: University of Chicago; University of Texas at Austin; Princeton University; MIT
Conference: iclr 2024 (main track)
Keywords: large language model;privacy;prompt tuing
Decision: Spotlight
Title: Mining Patents with Large Language Models Demonstrates Congruence of Functional Labels and Chemical Structures
Conference: iclr 2024 (main track)
Keywords: large language model;LLM;ChatGPT;data mining;chemistry;function;antiviral;drug discovery;CheF;patents;functionality;chemical function;electroluminescence;serotonin;5-ht;hcv;hepatitis
Decision: Reject
Title: Large Language Models Cannot Self-Correct Reasoning Yet
Authors: Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Yu, Xinying Song, Denny Zhou
Affiliations: Google DeepMind; Google DeepMind, University of Illinois at Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Self-Correction;Reasoning
Decision: Poster
Title: A Good Learner can Teach Better: Teacher-Student Collaborative Knowledge Distillation
Authors: Ayan Sengupta, Shantanu Dixit, Md Shad Akhtar, Tanmoy Chakraborty
Affiliations: Indraprastha Institute of Information Technology Delhi, India; Indian Institute of Technology Delhi, India
Conference: iclr 2024 (main track)
Keywords: Knowledge Distillation;Meta-Knowledge Distillation;Policy-driven Knowledge Distillation;Large Language Models
Decision: Poster
Title: VQ-TR: Vector Quantized Attention for Time Series Forecasting
Authors: Kashif Rasul, Andrew Bennett, Pablo Vicente, Umang Gupta, Hena Ghonia, Anderson Schneider, Yuriy Nevmyvaka
Affiliations: Université de Montréal, Montréal, Canada; USC, Los Angeles, USA; Morgan Stanley, New York, USA
Conference: iclr 2024 (main track)
Keywords: deep learning;time series forecasting;latent variable models;discrete representation
Decision: Poster
Title: Bellman Optimal Stepsize Straightening of Flow-Matching Models
Authors: Bao Nguyen, Binh Nguyen, Viet Anh Nguyen
Affiliations: National University of Singapore; Chinese University of Hong Kong; VinUniversity
Conference: iclr 2024 (main track)
Keywords: flow matching;generative model;efficient sampling;distillation;responsible ML
Decision: Poster
Title: Efficient Score Matching with Deep Equilibrium Layers
Authors: Yuhao Huang, Qingsong Wang, Akwum Onwunta, Bao Wang
Affiliations: Department of Industrial and Systems Engineering, Lehigh University, Bethlehem, PA 18015, USA; Department of Mathematics and Scientific Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT 84102, USA
Conference: iclr 2024 (main track)
Keywords: score matching;deep equilibrium model;density estimation
Decision: Poster
Title: Toward Optimal Policy Population Growth in Two-Player Zero-Sum Games
Authors: Stephen McAleer, John Banister Lanier, Kevin A. Wang, Pierre Baldi, Tuomas Sandholm, Roy Fox
Affiliations: Department of Computer Science, Carnegie Mellon University; Department of Computer Science, University of California, Irvine
Conference: iclr 2024 (main track)
Keywords: PSRO;game theory;deep RL;Nash;population
Decision: Poster
Title: Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning
Authors: Fuxiao Liu, Kevin Lin, Linjie Li, Jianfeng Wang, Yaser Yacoob, Lijuan Wang
Affiliations: University of Maryland, College Park; Microsoft Corporation
Conference: iclr 2024 (main track)
Keywords: instruction tuning;multimodal large language model;hallucination;datasets
Decision: Poster
Title: Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
Authors: Vijay Chandra Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski
Affiliations: University of Cologne; CISPA Helmholtz Center for Information Security
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Label Poisoning Attacks;Pitfalls
Decision: Poster
Title: Representing part-whole hierarchy with coordinated synchrony in neural networks
Conference: iclr 2024 (main track)
Keywords: hierarchical representation;part whole hierarchy;neuronal coherence;synchrony code;metastability;spiking neural network;temporal binding;nested oscillation;object-centric representation;non-equilibrium states;neocortex;top-down modulation;hybrid neural network;unsupervised learning;self-supervised learning;representation learning;segmentation
Decision: Withdraw
Title: Sample-Efficient Quality-Diversity by Cooperative Coevolution
Authors: Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye HAO, Chao Qian
Affiliations: Huawei Noah’s Ark Lab, China; School of Computing and Intelligence, Tianjin University, China; Huawei Noah’s Ark Lab, China; National Key Laboratory for Novel Software Technology, Nanjing University, China; School of Artificial Intelligence, Nanjing University, China; School of Computing and Intelligence, Tianjin University, China
Conference: iclr 2024 (main track)
Keywords: Quality-Diversity;Reinforcement Learning;Evolutionary Algorithms
Decision: Spotlight
Title: Koopman-based generalization bound: New aspect for full-rank weights
Authors: Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki
Affiliations: RIKEN AIP; NTT, RIKEN AIP; Ehime University, RIKEN AIP; The University of Tokyo; A*STAR CFAR
Conference: iclr 2024 (main track)
Keywords: generalization bound;full-rank weight matrix;Koopman operator
Decision: Poster
Title: Scaling Laws of RoPE-based Extrapolation
Authors: Xiaoran Liu, Hang Yan, Chenxin An, Xipeng Qiu, Dahua Lin
Affiliations: Shanghai AI Lab; School of Computer Science, Fudan University; School of Computer Science, Fudan University; Shanghai AI Lab
Conference: iclr 2024 (main track)
Keywords: Position Embeddin;Length Extrapolation;Large Language Model;Natural Language Processing
Decision: Poster
Title: On the Stability of Iterative Retraining of Generative Models on their own Data
Authors: Quentin Bertrand, Joey Bose, Alexandre Duplessis, Marco Jiralerspong, Gauthier Gidel
Affiliations: Université de Montréal and Mila; McGill and Mila; ENS, PSL
Conference: iclr 2024 (main track)
Keywords: Generative Models;Iterative Training;Diffusion
Decision: Spotlight
Title: AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
Authors: Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang, Cheng Long, Gao Cong, Jingyuan Wang
Affiliations: School of Computer Science and Engineering, Beihang University, China; Institute for Infocomm Research, A*STAR, Singapore; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: iclr 2024 (main track)
Keywords: air quality prediction;physics-informed;spatiotemporal-learning;interpretability
Decision: Poster
Title: The Update-Equivalence Framework for Decision-Time Planning
Authors: Samuel Sokota, Gabriele Farina, David Wu, Hengyuan Hu, Kevin A. Wang, J Kolter, Noam Brown
Affiliations: Brown University; Carnegie Mellon University; OpenAI; Stanford University; Meta AI; Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: imperfect-information games;search;decision-time planning
Decision: Poster
Title: Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs
Authors: Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; DeepSeek AI; Pattern Recognition Center, WeChat AI, Tencent Inc., China; Gaoling School of Artificial Intelligence, Renmin University of China
Conference: iclr 2024 (main track)
Keywords: text watermarking;large language model;codable;systematic study
Decision: Poster
Title: SEA: Sparse Linear Attention with Estimated Attention Mask
Authors: Heejun Lee, Jina Kim, Jeff Willette, Sung Ju Hwang
Affiliations: Graduate School of AI, Korea Advanced Institute of Science and Technology; School of Computing, Korea Advanced Institute of Science and Technology; Graduate School of AI, Korea Advanced Institute of Science and Technology, DeepAuto.ai
Conference: iclr 2024 (main track)
Keywords: Sparse Attention;Attention Estimation;Linear Attention;Transformers;NLP
Decision: Poster
Title: Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime
Authors: Keita Suzuki, Taiji Suzuki
Affiliations: University of Tokyo and RIKEN AIP; University of Tokyo and Preferred Networks, Inc.
Conference: iclr 2024 (main track)
Keywords: two-layer linear neural network;feature learning;optimal criterion;multi-output linear reggression;high-dimensional setting
Decision: Poster
Title: Multimodal Patient Representation Learning with Missing Modalities and Labels
Authors: Zhenbang Wu, Anant Dadu, Nicholas Tustison, Brian Avants, Michael Nalls, Jimeng Sun, Faraz Faghri
Affiliations: National Institutes of Health, Data Tecnica International; University of Virginia; University of Illinois Urbana-Champaign; University of Illinois Urbana-Champaign, National Institutes of Health, Data Tecnica International; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: multi-modal learning;missing modalities;missing labels;clinical predictive modeling;patient representation learning
Decision: Poster
Title: iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Authors: Yong Liu, Tengge Hu, Haoran Zhang, Haixu Wu, Shiyu Wang, Lintao Ma, Mingsheng Long
Affiliations: School of Software, BNRist, Tsinghua University, Beijing 100084, China; Ant Group, Hangzhou, China
Conference: iclr 2024 (main track)
Keywords: Time Series Forecasting;Transformer
Decision: Spotlight
Title: SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
Authors: Dingli Yu, Simran Kaur, Arushi Gupta, Jonah Brown-Cohen, Anirudh Goyal, Sanjeev Arora
Affiliations: Google DeepMind; Princeton Language and Intelligence (PLI), Princeton University
Conference: iclr 2024 (main track)
Keywords: Large language model;skill evaluation;LLM benchmark;emergence
Decision: Poster
Title: The optimality of kernel classifiers in Sobolev space
Authors: Jianfa Lai, zhifan Li, Dongming Huang, Qian Lin
Affiliations: National University of Singapore, Singapore; Beijing Institute of Mathematical Sciences and Applications, Beijing, China; Tsinghua University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: kernel classification;minimax optimality;neural network classifiers;reproducing kernel Hilbert Space
Decision: Poster
Title: FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing
Authors: Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren, Yanping Xie, Juan-Manuel Perez-Rua, Bodo Rosenhahn, Tao Xiang, Sen He
Affiliations: Meta AI; Nanyang Technological University; The University of Hong Kong; Leibniz University Hannover
Conference: iclr 2024 (main track)
Keywords: diffusion model;video editing;text-to-video
Decision: Poster
Title: Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Authors: Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos, Konstantinos Nikolakakis, Amin Karbasi, Dionysios Kalogerias, Nezihe Merve Gürel, Theodoros Rekatsinas
Affiliations: University of Wisconsin-Madison; ETH Zürich; TU Delft; Yale
Conference: iclr 2024 (main track)
Keywords: data pruning;dataset distillation;random sampling;corset selection;data-efficient learning
Decision: Poster
Title: LabelDP-Pro: Learning with Label Differential Privacy via Projections
Authors: Badih Ghazi, Yangsibo Huang, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Chiyuan Zhang
Affiliations: Princeton University; Google Research
Conference: iclr 2024 (main track)
Keywords: Differential Privacy;Label Differential Privacy;Projections
Decision: Poster
Title: A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation
Authors: Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
Affiliations: University of Science and Technology of China; CRIPAC & MAIS, Institute of Automation, Chinese Academy of Sciences (CASIA); Nanjing University
Conference: iclr 2024 (main track)
Keywords: CLIP;training-free adaptation
Decision: Poster
Title: ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion
Authors: Shangyu Wu, Ying Xiong, Yufei CUI, Xue Liu, Buzhou Tang, Tei-Wei Kuo, Chun Jason Xue
Affiliations: National Taiwan University; City University of Hong Kong; MILA, McGill University; Mohamed bin Zayed University of Artificial Intelligence; Harbin Institute of Technology, Shenzhen
Conference: iclr 2024 (main track)
Keywords: Retrieval Augmentation; Non-Knowledge-Intensive Task; Natural Language Understanding;
Decision: Poster
Title: Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Authors: Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon, Dongsoo Lee
Conference: iclr 2024 (main track)
Keywords: large language models;quantization;model compression
Decision: Poster
Title: Efficient Inverse Multiagent Learning
Authors: Denizalp Goktas, Amy Greenwald, Sadie Zhao, Alec Koppel, Sumitra Ganesh
Affiliations: JP Morgan Chase & Co; Harvard University, Computer Science; Brown University, Computer Science
Conference: iclr 2024 (main track)
Keywords: Inverse Game Theory;Inverse Multiagent Reinforcement Learning
Decision: Spotlight
Title: Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach
Authors: Xiang Lan, Hanshu Yan, Shenda Hong, Mengling Feng
Affiliations: Saw Swee Hock School of Public Health & Institute of Data Science, National University of Singapore; National Institute of Health Data Science, Peking University; ByteDance
Conference: iclr 2024 (main track)
Keywords: Time Series Contrastive Learning;Healthcare;Self-Supervised Representation Learning
Decision: Poster
Title: On Using Admissible Bounds for Learning Forward Search Heuristics
Authors: Carlos NÃºÃ±ez-Molina, Masataro Asai, Juan FernÃ¡ndez-Olivares, Pablo Mesejo
Affiliations: Paper under double-blind review
Conference: iclr 2024 (main track)
Keywords: heuristic learning;neuro-symbolic AI;forward search;machine learning;automated planning;statistical modelling
Decision: Reject
Title: CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Authors: Jiacheng Lin, Meng XU, Zhihua Xiong, Huangang Wang
Affiliations: University of Illinois Urbana-Champaign; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Mixed Integer Programming;Machine Learning;Branching Stratigies;Data Augmentation
Decision: Poster