hunoutl/paperlists huggingface dataset:
Title: Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction
Authors: Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang, Hang Xu
Affiliations: Sun Yat-sen Unversity and MBZUAI; Hong Kong University of Science and Technology; Huawei Noah’s Ark Lab
Conference: iclr 2024 (main track)
Keywords: Multimodal learning;object detection
Decision: Poster
Title: Exploiting Causal Graph Priors with Posterior Sampling for Reinforcement Learning
Authors: Mirco Mutti, Riccardo De Santi, Marcello Restelli, Alexander Marx, Giorgia Ramponi
Affiliations: Politecnico di Milano; Technion; ETH AI Center; ETH Zurich
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;Posterior sampling;Causality
Decision: Poster
Title: The Curse of Diversity in Ensemble-Based Exploration
Authors: Zhixuan Lin, Pierluca D'Oro, Evgenii Nikishin, Aaron Courville
Affiliations: Mila - Quebec AI Institute, Universit&eacute; de Montr&eacute;al
Conference: iclr 2024 (main track)
Keywords: deep reinforcement learning;ensemble-based exploration;off-policy learning;representation learning;auxiliary tasks
Decision: Poster
Title: Plug-and-Play Policy Planner for Large Language Model Powered Dialogue Agents
Authors: Yang Deng, Wenxuan Zhang, Wai Lam, See-Kiong Ng, Tat-Seng Chua
Affiliations: National University of Singapore; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Dialogue Policy Planning;Proactive Dialogue;Large Language Model
Decision: Poster
Title: Improving Offline RL by Blending Heuristics
Authors: Sinong Geng, Aldo Pacchiano, Andrey Kolobov, Ching-An Cheng
Affiliations: Boston University, Broad Institute of MIT and Harvard, Boston, MA; Princeton University, Princeton, NJ; Microsoft Research, Redmond, WA
Conference: iclr 2024 (main track)
Keywords: offline RL;heuristic;RL;MDP;sequential decision-making
Decision: Spotlight
Title: The Effectiveness of Random Forgetting for Robust Generalization
Authors: Vijaya Raghavan T Ramkumar, Bahram Yoosefizonooz, Elahe Arani
Affiliations: TomTom; Wayve; Eindhoven University of Technology
Conference: iclr 2024 (main track)
Keywords: Adversarial training;robust overfitting;forgetting;reinitialization;robust accuracy;generalization
Decision: Poster
Title: Learning interpretable control inputs and dynamics underlying animal locomotion
Authors: Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin, Christian Machens, Michael B. Orger, Adrien Jouary
Affiliations: Department of Engineering, University of Cambridge; Department of Neuroscience, Champalimaud Foundation
Conference: iclr 2024 (main track)
Keywords: computational neuroscience;interpretable dynamics;motor control;animal behavior;dynamical systems;system identification;unsupervised learning;zebrafish
Decision: Poster
Title: High-dimensional SGD aligns with emerging outlier eigenspaces
Authors: Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath
Affiliations: Department of Statistics and Actuarial Science, Department of Applied Mathematics, and Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada; Department of Statistics and Data Science, University of Pennsylvania, Philadelphia, PA, USA; Department of Mathematics, Northwestern University, Evanston, IL, USA; Courant Institute, New York University, New York, NY, USA
Conference: iclr 2024 (main track)
Keywords: stochastic gradient descent;Hessian;multi-layer neural networks;high-dimensional classification;Gaussian mixture model;XOR problem
Decision: Spotlight
Title: Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
Authors: Ameya Daigavane, Song Eun Kim, Mario Geiger, Tess Smidt
Affiliations: NVIDIA; Massachusetts Institute of Technology
Conference: iclr 2024 (main track)
Keywords: molecule;spherical harmonics;equivariant;symmetry;generation
Decision: Poster
Title: Discovering Temporally-Aware Reinforcement Learning Algorithms
Authors: Matthew T Jackson, Chris Lu, Louis Kirsch, Robert Lange, Shimon Whiteson, Jakob Foerster
Affiliations: Technical University Berlin; University of Oxford; The Swiss AI Lab IDSIA
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Meta-Learning;Meta-RL;Meta-Optimization;Policy Meta-Optimization;Learned Objective Functions
Decision: Poster
Title: CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
Authors: xue wang, Tian Zhou, Qingsong Wen, Jinyang Gao, Bolin Ding, Rong Jin
Affiliations: Alibaba Group; Meta; Squirrel AI
Conference: iclr 2024 (main track)
Keywords: time series forecasting;transformer;robust learning;token mixing
Decision: Poster
Title: InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Authors: Yi Wang, Yinan He, Yizhuo Li, Kunchang Li, Jiashuo Yu, Xin Ma, Xinhao Li, Guo Chen, Xinyuan Chen, Yaohui Wang, Ping Luo, Ziwei Liu, Yali Wang, Limin Wang, Yu Qiao
Affiliations: Monash University, OpenGVLab, Shanghai AI Laboratory; The University of Hong Kong, OpenGVLab, Shanghai AI Laboratory; Nanjing University, OpenGVLab, Shanghai AI Laboratory; OpenGVLab, Shanghai AI Laboratory; †Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, OpenGVLab, Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, OpenGVLab, Shanghai AI Laboratory; Nanyang Technological University, OpenGVLab, Shanghai AI Laboratory; †OpenGVLab, Shanghai AI Laboratory; †Nanjing University, OpenGVLab, Shanghai AI Laboratory
Conference: iclr 2024 (main track)
Keywords: video-language dataset;video understanding;video generation;multimodal understanding;action recognition;video retrieval
Decision: Spotlight
Title: SyncDreamer: Generating Multiview-consistent Images from a Single-view Image
Authors: Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu, Taku Komura, Wenping Wang
Affiliations: The university of Hong Kong; Tencent Games; Texas A&M University; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: diffusion model; single-view reconstruction; 3D generation; generative models
Decision: Spotlight
Title: GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
Authors: Zhenfang Chen, Rui Sun, Wenjun Liu, Yining Hong, Chuang Gan
Affiliations: Columbia University; University of California, Los Angeles; MIT-IBM Watson AI Lab; Tsinghua University; MIT-IBM Watson AI Lab and UMass Amherst
Conference: iclr 2024 (main track)
Keywords: Large language models;Neuro-symbolic Visual Reasoning
Decision: Poster
Title: SEABO: A Simple Search-Based Method for Offline Imitation Learning
Authors: Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li, Zongqing Lu
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University; School of Computer Science, Peking University; Department of Automation, Tsinghua University; IEG, Tencent
Conference: iclr 2024 (main track)
Keywords: offline imitation learning; reward learning; reinforcement learning
Decision: Poster
Title: Sudden Drops in the Loss: Syntax Acquisition, Phase Transitions, and Simplicity Bias in MLMs
Authors: Angelica Chen, Ravid Shwartz-Ziv, Kyunghyun Cho, Matthew Leavitt, Naomi Saphra
Affiliations: DatologyAI; NYU; Kempner Institute, Harvard; NYU, Genentech, CIFAR LMB
Conference: iclr 2024 (main track)
Keywords: interpretability;BERT;syntax;phase changes;simplicity bias;training dynamics
Decision: Spotlight
Title: Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
Authors: Yining Li, Peizhong Ju, Ness Shroff
Affiliations: Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA; Department of Computer Science and Engineering, The Ohio State University, Columbus, OH 43210, USA
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;abstraction
Decision: Poster
Title: One-hot Generalized Linear Model for Switching Brain State Discovery
Authors: Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu
Affiliations: Department of Neurosurgery, School of Medicine, Emory University, Atlanta, GA 30322, USA; School of Computational Science & Engineering, Georgia Institute of Technology, Atlanta, GA 30305, USA; School of Mathematics, Georgia Institute of Technology, Atlanta, GA 30305, USA
Conference: iclr 2024 (main track)
Keywords: Hidden markov models;generalized linear models;functional connectivity inference
Decision: Poster
Title: DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization
Authors: Guowei Xu, Ruijie Zheng, Yongyuan Liang, Xiyao Wang, Zhecheng Yuan, Tianying Ji, Yu Luo, Xiaoyu Liu, Jiaxin Yuan, Pu Hua, Shuzhen Li, Yanjie Ze, Hal Daumé III, Furong Huang, Huazhe Xu
Affiliations: University of Maryland, College Park; Shanghai Jiao Tong University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Visual RL; Dormant Ratio
Decision: Spotlight
Title: A Probabilistic Framework for Modular Continual Learning
Authors: Lazar Valkov, Akash Srivastava, Swarat Chaudhuri, Charles Sutton
Affiliations: MIT-IBM Watson AI Lab; UT Austin; University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: continual learning;modular machine learning;modular continual learning;transfer learning;catastrophic forgetting;Bayesian optimization;probabilistic modelling
Decision: Poster
Title: GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher
Authors: Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He, Shuming Shi, Zhaopeng Tu
Affiliations: Tencent AI Lab; The Chinese University of Hong Kong; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China; Tencent AI Lab; Tencent AI Lab; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: iclr 2024 (main track)
Keywords: Safety Alignment;Jailbreak
Decision: Poster
Title: L2P-MIP: Learning to Presolve for Mixed Integer Programming
Authors: Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan
Affiliations: Huawei Noah's Ark Lab; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Combinatorial Optimization; Mixed Integer Programming; Presolving
Decision: Poster
Title: Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Authors: Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin
Affiliations: The Chinese University of Hong Kong, Shenzhen; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University; Department of Biostatistics, School of Public Health, Peking University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Hebbian learning;neuromorphic computing;continual learning;spiking neural networks
Decision: Poster
Title: The Trickle-down Impact of Reward Inconsistency on RLHF
Authors: Lingfeng Shen, Sihao Chen, Linfeng Song, Lifeng Jin, Baolin Peng, Haitao Mi, Daniel Khashabi, Dong Yu
Affiliations: Tencent AI Lab; Johns Hopkins University; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: Large language model;reward model;RLHF;consistency
Decision: Poster
Title: Learning to Act from Actionless Videos through Dense Correspondences
Authors: Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B Tenenbaum
Affiliations: MIT CSAIL; National Taiwan University; MIT BCS, CBMM, CSAIL
Conference: iclr 2024 (main track)
Keywords: Video-Based Policy;Video Dense Correspondence
Decision: Spotlight
Title: COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Authors: Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent, William Freeman, Ruth Rosenholtz
Affiliations: MIT CSAIL and MIT Brain and Cognitive Sciences; MIT CSAIL; Toyota Research Institute
Conference: iclr 2024 (main track)
Keywords: peripheral vision;object detection;dataset;foveation;psychophysics
Decision: Poster
Title: Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
Authors: Stefano Blumberg, Paddy Slator, Daniel Alexander
Affiliations: Centre for Medical Image Computing, Department of Computer Science, University College London; Cardiff University Brain Research Imaging Centre and School of Computer Science, Cardiff University; Centre for Artificial Intelligence, Department of Computer Science, University College London
Conference: iclr 2024 (main track)
Keywords: Experimental Design;Supervised Feature Selection;Multi-Channel Imaging;Hyperspectral Imaging;Magnetic Resonance Imaging (MRI);Task-based Image Channel Selection
Decision: Poster
Title: DyST: Towards Dynamic Neural Scene Representations on Real-World Videos
Authors: Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
Affiliations: Google DeepMind; MPI for Intelligent Systems; Google Research
Conference: iclr 2024 (main track)
Keywords: neural scene representations;scene representations;representation learning;novel view synthesis
Decision: Spotlight
Title: DittoGym: Learning to Control Soft Shape-Shifting Robots
Authors: Suning Huang, Boyuan Chen, Huazhe Xu, Vincent Sitzmann
Affiliations: CSAIL, Massachusetts Institute of Technology; IIIS, Tsinghua University; Department of Automation, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning;Soft Robot
Decision: Poster
Title: Memorization Capacity of Multi-Head Attention in Transformers
Authors: Sadegh Mahdavi, Renjie Liao, Christos Thrampoulidis
Affiliations: University of British Columbia; University of British Columbia, Vector Institute for AI
Conference: iclr 2024 (main track)
Keywords: Learning Theory;Expressivity;Multi-Head Attention;Transformers
Decision: Spotlight
Title: Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization
Authors: Ravi Srinivasan, Francesca Mignacco, Martino Sorbaro, Maria Refinetti, Avi Cooper, Gabriel Kreiman, Giorgia Dellaferrera
Affiliations: Center for Brains, Minds and Machines, Children’s Hospital, Harvard Medical School; Joseph Henry Laboratories of Physics, Princeton University, Initiative for the Theoretical Sciences, Graduate Center, City University of New York; Institute of Neuroinformatics, University of Zurich and ETH Zurich, AI Center, ETH Zurich; IBM Research Europe, Zurich, ETH Zurich; Massachusetts Institute of Technology; IBM Research Europe, Zurich, ETH Zurich, Institute of Neuroinformatics, University of Zurich and ETH Zurich, Center for Brains, Minds and Machines; Laboratoire de Physique de l’Ecole Normale Supérieure, Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, IdePHICS laboratory, École Fédérale Polytechnique de Lausanne (EPFL)
Conference: iclr 2024 (main track)
Keywords: Forward-only learning;Biologically inspired learning;Artificial neural networks;Analytical characterization
Decision: Poster
Title: Vision-Language Models are Zero-Shot Reward Models for Reinforcement Learning
Authors: Juan Rocamonde, Victoriano Montesinos, Elvis Nava, Ethan Perez, David Lindner
Affiliations: Anthropic, ETH Zurich; Vertebra; FAR AI, Vertebra, ETH AI Center; ETH AI Center; ETH Zurich
Conference: iclr 2024 (main track)
Keywords: deep learning;deep reinforcement learning;reward learning;vision-language models;vision transformer;transformer;CLIP
Decision: Poster
Title: A Sublinear Adversarial Training Algorithm
Authors: Yeqi Gao, Lianke Qin, Zhao Song, Yitan Wang
Affiliations: Adobe Research, Seattle, WA, USA; Yale University, New Haven, CT, USA; UC Santa Barbara, Santa Barbara, CA, USA; Tsinghua University, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Adversarial training
Decision: Poster
Title: Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
Authors: Hao Sun, Alihan Hüyük, Mihaela van der Schaar
Affiliations: DAMTP, University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Prompting;Large Language Models;Inverse Reinforcement Learning;RLHF;Imitation Learning;Learning from Demonstrations;LLM Alignment;Off-Policy Evaluation;Off-Policy Optimization
Decision: Poster
Title: MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
Authors: Longhui Yu, Weisen JIANG, Han Shi, Jincheng YU, Zhengying Liu, Yu Zhang, James Kwok, Zhenguo Li, Adrian Weller, Weiyang Liu
Conference: iclr 2024 (main track)
Keywords: Large Language Model; Mathematical Reasoning
Decision: Spotlight
Title: V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection
Authors: Yichao Shen, Zigang Geng, YUHUI YUAN, Yutong Lin, Ze Liu, Chunyu Wang, Han Hu, Nanning Zheng, Baining Guo
Affiliations: Microsoft Research Asia; University of Science and Technology of China; National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University
Conference: iclr 2024 (main track)
Keywords: 3D Object Detection;Detection Transformer;Relative Position Encoding
Decision: Poster
Title: Improving LoRA in Privacy-preserving Federated Learning
Authors: Youbang Sun, Zitao Li, Yaliang Li, Bolin Ding
Affiliations: Alibaba Group; Dept. of Mechanical & Industrial Engineering, Northeastern University
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Parameter-efficient Fine-tuning;Differential Privacy;Large Language Model
Decision: Poster
Title: Hypergraph Dynamic System
Authors: Jielong Yan, Yifan Feng, Shihui Ying, Yue Gao
Affiliations: Department of Mathematics, School of Science, Shanghai University; School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Hypergraph;Ordinary Differential Equations;Dynamic System
Decision: Poster
Title: Inductive Transformers: How Large Language Models Form Concepts, And How to Make Them Even Better At It
Affiliations: Corresponding Author; 
Conference: iclr 2024 (main track)
Keywords: inductive bias;transformers;encoder;decoder;natural language;large language model;probabilistic graphical models;belief propagation;message passing;open universe;probabilistic program;probabilistic grammar;perturbation convergence experiment;machine learning identifiability;controllability;alignment;neurodiversity;concept learning;generative models
Decision: Reject
Title: Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks
Authors: Yanqiao Zhu, Jeehyun Hwang, Keir Adams, Zhen Liu, Bozhao Nan, Brock Stenfors, Yuanqi Du, Jatin Chauhan, Olaf Wiest, Olexandr Isayev, Connor Coley, Yizhou Sun, Wei Wang
Affiliations: MIT; ὖECornell; university; f⌢⌢tball-ball; UCLA
Conference: iclr 2024 (main track)
Keywords: conformer ensembles;geometric learning
Decision: Poster
Title: Image Inpainting via Tractable Steering of Diffusion Models
Authors: Anji Liu, Mathias Niepert, Guy Van den Broeck
Affiliations: Department of Computer Science, University of Stuttgart; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: Probabilistic Methods;Tractable Probabilistic Models;Diffusion Models
Decision: Poster
Title: Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks
Authors: Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma
Affiliations: Shanghai Institute of Materia Medica, Chinese Academy of Sciences; Institute of AI Industry Research (AIR), Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Drug Design;Molecule Generation;Deep Learning;Computational Biology
Decision: Oral
Title: Optimal Sample Complexity of Contrastive Learning
Authors: Noga Alon, Dmitrii Avdiukhin, Dor Elboim, Orr Fischer, Grigory Yaroslavtsev
Affiliations: Princeton University; Institute for Advanced Study; Weizmann Institute of Science; Northwestern University; George Mason University
Conference: iclr 2024 (main track)
Keywords: learning theory;sample complexity;vc dimension;contrastive learning;metric learning
Decision: Spotlight
Title: Long-tailed Diffusion Models with Oriented Calibration
Authors: Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou, Ya Zhang, Yanfeng Wang
Affiliations: Cooperative Medianet Innovation Center, Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory; East China Normal University; The University of Texas at Austin; Cooperative Medianet Innovation Center, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: diffusion model;long tail distribution;score matching
Decision: Poster
Title: Federated Text-driven Prompt Generation for Vision-Language Models
Authors: Chen Qiu, Xingyu Li, Chaithanya Kumar Mummadi, Madan Ganesh, Zhenzhen Li, Lu Peng, Wan-Yi Lin
Affiliations: Tulane University; Bosch Center for AI, USA
Conference: iclr 2024 (main track)
Keywords: Vision-Language Models;Prompt Learning;Federated Learning
Decision: Poster
Title: Fake It Till Make It: Federated Learning with Consensus-Oriented Generation
Authors: Rui Ye, Yaxin Du, Zhenyang Ni, Siheng Chen, Yanfeng Wang
Affiliations: Shanghai Jiao Tong University, Shanghai AI Laboratory, Multi-Agent Governance & Intelligence Crew (MAGIC); Shanghai Jiao Tong University, Shanghai AI Laboratory
Conference: iclr 2024 (main track)
Keywords: Federated learning;data heterogeneity
Decision: Poster
Title: GIM: Learning Generalizable Image Matcher From Internet Videos
Authors: Xuelun Shen, zhipeng cai, Wei Yin, Matthias Müller, Zijun Li, Kaixuan Wang, Xiaozhi Chen, Cheng Wang
Affiliations: Fujian Key Laboratory of Sensing and Computing for Smart Cities, Xiamen University, 361005, P.R. China; DJITechnology; Intel Labs
Conference: iclr 2024 (main track)
Keywords: Image Matching;Pose Estimation;3D Reconstruction
Decision: Spotlight
Title: Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
Authors: Changwen Zhang, wenli ouyang, Hao Yuan, Liming Gong, Yong Sun, Ziao Guo, Zhichen Dong, Junchi Yan
Affiliations: AI Lab, Lenovo Research; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: hybrid RL;Sample Augmentation;Learning to branch;Imitation learning
Decision: Poster
Title: Training Socially Aligned Language Models on Simulated Social Interactions
Authors: Ruibo Liu, Ruixin Yang, Chenyan Jia, Ge Zhang, Diyi Yang, Soroush Vosoughi
Affiliations: University of Michigan, Ann Arbor; University of British Columbia; Dartmouth College; Stanford University; Stanford University, Northeastern University
Conference: iclr 2024 (main track)
Keywords: AI alignment;AI safety;Natural Language Processing
Decision: Poster
Title: Replay across Experiments: A Natural Extension of Off-Policy RL
Authors: Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen, Tuomas Haarnoja, Sandy Huang, Guy Lever, Ben Moran, Tim Hertweck, Leonard Hasenclever, Martin Riedmiller, Nicolas Heess, Markus Wulfmeier
Affiliations: Google DeepMind; Google DeepMind; University College London (UCL)
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;robotics;data transfer
Decision: Poster
Title: Predictive, scalable and interpretable knowledge tracing on structured domains
Authors: Hanqi Zhou, Robert Bamler, Charley Wu, Álvaro Tejero-Cantero
Affiliations: University of Tübingen, Tübingen AI Center; University of Tübingen, Cluster of Excellence Machine Learning, IMPRS-IS; University of Tübingen, Cluster of Excellence Machine Learning, Tübingen AI Center; University of Tübingen, Cluster of Excellence Machine Learning
Conference: iclr 2024 (main track)
Keywords: knowledge tracing;interpretable representations;knowledge graphs;probabilistic models;variational inference;continual learning
Decision: Spotlight