hunoutl/paperlists huggingface dataset:
Title: MOTOR: A Time-to-Event Foundation Model For Structured Medical Records
Authors: Ethan Steinberg, Yizhe Xu, Jason Fries, Nigam Shah
Affiliations: Center for Biomedical Informatics Research, Stanford University; Department of Computer Science, Stanford University; Stanford University, Stanford Health Care
Conference: iclr 2024 (main track)
Keywords: foundation models;time-to-event;electronic health records;deep learning;self-supervised learning;transfer learning
Decision: Spotlight
Title: A General Framework for User-Guided Bayesian Optimization
Authors: Carl Hvarfner, Frank Hutter, Luigi Nardi
Affiliations: Lund University; DBtune, Lund University, Stanford University; University of Freiburg
Conference: iclr 2024 (main track)
Keywords: Bayesian Optimization;Hyperparameter Optimization;Gaussian Processes
Decision: Spotlight
Title: Steve-Eye: Equipping LLM-based Embodied Agents with Visual Perception in Open Worlds
Authors: Sipeng Zheng, jiazheng liu, Yicheng Feng, Zongqing Lu
Affiliations: Beijing Academy of Artificial Intelligence; School of Computer Science, Peking University
Conference: iclr 2024 (main track)
Keywords: large multimodal pre-training;open-world embodied agent;large language model
Decision: Poster
Title: Intelligent Switching for Reset-Free RL
Authors: Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
Affiliations: Mila, Université de Montréal; Mila, École Polytechnique de Montréal, Canada CIFAR AI Chair; Mila, Université de Montréal, Canada CIFAR AI Chair; Dalhousie University
Conference: iclr 2024 (main track)
Keywords: Reset-Free RL
Decision: Poster
Title: PromptTTS 2: Describing and Generating Voices with Text Prompt
Authors: Yichong Leng, ZHifang Guo, Kai Shen, Zeqian Ju, Xu Tan, Eric Liu, Yufei Liu, Dongchao Yang, leying zhang, Kaitao Song, Lei He, Xiangyang Li, sheng zhao, Tao Qin, Jiang Bian
Affiliations: MOE-Microsoft Key Laboratory of Multimedia Computing and Communication, University of Science and Technology of China; Microsoft
Conference: iclr 2024 (main track)
Keywords: Text-to-Speech;Voice Generation;Prompt;Variation Network
Decision: Poster
Title: Lagrangian Flow Networks for Conservation Laws
Authors: Fabricio Arend Torres, Marcello Negri, Marco Inversi, Jonathan Aellen, Volker Roth
Affiliations: Department of Mathematics and Computer Science, University of Basel
Conference: iclr 2024 (main track)
Keywords: Physics-informed Neural Network;Fluid Dynamics;Conservation Law;Partial Differential Equation;Conditional Normalizing Flows;Bird-Migration
Decision: Spotlight
Title: Learning to Jointly Understand Visual and Tactile Signals
Authors: Yichen Li, Yilun Du, Chao Liu, Chao Liu, Francis Williams, Michael Foshey, Benjamin Eckart, Jan Kautz, Joshua B Tenenbaum, Antonio Torralba, Wojciech Matusik
Affiliations: MIT CSAIL; NVIDIA
Conference: iclr 2024 (main track)
Keywords: multi-modal perception
Decision: Poster
Title: 3D Reconstruction with Generalizable Neural Fields using Scene Priors
Authors: Yang Fu, Shalini De Mello, Xueting Li, Amey Kulkarni, Jan Kautz, Xiaolong Wang, Sifei Liu
Affiliations: NVIDIA; University of California, San Diego
Conference: iclr 2024 (main track)
Keywords: 3D Reconstruction;Generalizable Neural Fields
Decision: Poster
Title: InstructCV: Instruction-Tuned Text-to-Image Diffusion Models as Vision Generalists
Authors: Yulu Gan, Sung Woo Park, Alexander Schubert, Anthony Philippakis, Ahmed Alaa
Affiliations: UC Berkeley and UCSF; Peking University; Broad Institute of MIT & Harvard; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: Vision generalists;Text-to-image models;Multi-task learning
Decision: Poster
Title: Unleashing Large-Scale Video Generative Pre-training for Visual Robot Manipulation
Authors: Hongtao Wu, Ya Jing, Chilam Cheang, Guangzeng Chen, Jiafeng Xu, Xinghang Li, Minghuan Liu, Hang Li, Tao Kong
Affiliations: ByteDance Research
Conference: iclr 2024 (main track)
Keywords: Visual Robot Manipulation;Video Generative Pre-Training;Causal Transformer
Decision: Poster
Title: Exposing Text-Image Inconsistency Using Diffusion Models
Authors: Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai, Siwei Lyu
Affiliations: University at Buffalo, State University of New York
Conference: iclr 2024 (main track)
Keywords: inconsistency detection;multi-modal learning;diffusion models
Decision: Poster
Title: Masked Audio Generation using a Single Non-Autoregressive Transformer
Authors: Alon Ziv, Itai Gat, Gael Le Lan, Tal Remez, Felix Kreuk, Jade Copet, Alexandre Défossez, Gabriel Synnaeve, Yossi Adi
Affiliations: Kyutai; FAIR Team, Meta; FAIR Team, Meta; The Hebrew University of Jerusalem
Conference: iclr 2024 (main track)
Keywords: Audio modeling;audio generation;music generation;non-autoregressive models
Decision: Poster
Title: Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts
Authors: Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang, Jian Zhang, Yuan Li
Affiliations: Peking University, Peng Cheng Laboratory; Peking University; International Digital Economy Academy (IDEA)
Conference: iclr 2024 (main track)
Keywords: Text-to-3D Creation;3D Content Editing;Attribute Mismatching
Decision: Poster
Title: Modelling complex vector drawings with stroke-clouds
Authors: Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song
Affiliations: SketchX, CVSSP, University of Surrey, UK; SketchX, CVSSP, University of Surrey, UK; Surrey Institute for People-Centred AI (PAI), UK
Conference: iclr 2024 (main track)
Keywords: Generative Model;Representation Learning;Sets;Vector Graphics
Decision: Poster
Title: CNN Kernels Can Be the Best Shapelets
Authors: Eric Qu, Yansen Wang, Xufang Luo, Wenqiang He, Kan Ren, Dongsheng Li
Affiliations: Microsoft Research Asia; University of Science and Technology of China; University of California, Berkeley; ShanghaiTech University
Conference: iclr 2024 (main track)
Keywords: Shapelet;Covolutional Neural Network;Time-series
Decision: Poster
Title: Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values
Authors: Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li
Affiliations: School of Computer Science and Technology, Harbin Institute of Technology; School of Computer Science and Technology, Harbin Institute of Technology (Shenzhen)
Conference: iclr 2024 (main track)
Keywords: Spatial and temporal graph neural network;bias;missing values;time series forecasting
Decision: Poster
Title: Aligning Relational Learning with Lipschitz Fairness
Authors: Yaning Jia, Chunhui Zhang, Soroush Vosoughi
Affiliations: Dartmouth College, Hanover, NH, USA; HUST, Hubei, China
Conference: iclr 2024 (main track)
Keywords: Fairness Alignment;Relational Learning
Decision: Poster
Title: DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models
Authors: Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang
Affiliations: ARC Lab, Tencent PCG; School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University
Conference: iclr 2024 (main track)
Keywords: Diffusion model;Image editing;Image generation
Decision: Spotlight
Title: Doubly Robust Instance-Reweighted Adversarial Training
Authors: Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang
Affiliations: Department of CS, University of Houston; Department of ECE, The Ohio State University; Visual Informatics Group, University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: adversarial training;distributionally robust optimization;bilevel optimization;instance reweighting
Decision: Poster
Title: Multi-View Causal Representation Learning with Partial Observability
Authors: Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
Affiliations: ServiceNow Research; University of Tübingen; University of Amsterdam; MIT-IBM Watson AI Lab; Max Planck Institute for Intelligent Systems, Tübingen; Institute of Science and Technology Austria; Samsung - SAIT AI Lab
Conference: iclr 2024 (main track)
Keywords: causal representation learning; identifiability
Decision: Spotlight
Title: GenSim: Generating Robotic Simulation Tasks via Large Language Models
Authors: Lirui Wang, Yiyang Ling, Zhecheng Yuan, Mohit Shridhar, Chen Bao, Yuzhe Qin, Bailin Wang, Huazhe Xu, Xiaolong Wang
Affiliations: UC San Diego; University of Washington; CMU; Shanghai Jiao Tong University; Tsinghua University; MIT CSAIL
Conference: iclr 2024 (main track)
Keywords: LLM Code Generation;Robotic Simulation;Multi-task Policy Learning
Decision: Spotlight
Title: Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory optimization
Authors: Dinghuai Zhang, Ricky T. Q. Chen, Chenghao Liu, Aaron Courville, Yoshua Bengio
Affiliations: McGill University; FAIR, Meta AI; Mila - Quebec AI Institute, Universit&eacute; de Montr&eacute;al
Conference: iclr 2024 (main track)
Keywords: probabilistic inference;sampling;stochastic optimal control;gflownets
Decision: Poster
Title: Headless Language Models: Learning without Predicting with Contrastive Weight Tying
Authors: Nathan Godey, Éric Clergerie, Benoît Sagot
Affiliations: Inria, Paris, France; Inria, Paris, France; Sorbonne Université, Paris, France
Conference: iclr 2024 (main track)
Keywords: representation learning;NLP;language modeling;pretraining;contrastive
Decision: Poster
Title: CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding
Authors: eslam Abdelrahman, Mohamed Ayman Mohamed, Mahmoud Ahmed, Habib, Mohamed Elhoseiny
Affiliations: King Abdullah University of Science and Technology (KAUST)
Conference: iclr 2024 (main track)
Keywords: 3D referring;3D visual grounding;localization;3D
Decision: Poster
Title: Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing
Authors: Xinyu Hu, Pengfei Tang, Simiao Zuo, Zihan Wang, Bowen Song, Qiang Lou, Jian Jiao, Denis Charles
Affiliations: University of Washington; University of Michigan; Microsoft
Conference: iclr 2024 (main track)
Keywords: large language models;automatic prompt engineering;in-context learning
Decision: Poster
Title: Less or More From Teacher: Exploiting Trilateral Geometry For Knowledge Distillation
Authors: Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen, Boyu Wang, Jun Yan, Xue Liu
Affiliations: McGill University, Mila - Quebec AI Institute; McGill University; Concordia University; City University of Hong Kong; Western University
Conference: iclr 2024 (main track)
Keywords: Knowledge Distillation;Bilevel Optimization;Re-weighting
Decision: Poster
Title: Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
Authors: Yili Wang, Kaixiong Zhou, Ninghao Liu, Ying Wang, Xin Wang
Affiliations: School of Computing, University of Georgia, USA; School of Artificial Intelligence, Jilin University, China; Institute for Medical Engineering & Science, Massachusetts Institute of Technology, USA; College of Computer Science and Technology, Jilin University, China
Conference: iclr 2024 (main track)
Keywords: Sharpness-Aware Minimization;Molecular Graph
Decision: Poster
Title: More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory
Authors: James Simon, Dhruva Karkada, Nikhil Ghosh, Misha Belkin
Affiliations: UC San Diego; UC Berkeley & Imbue; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: overparameterization;interpolation;random feature regression;kernel regression;generalization;overfitting
Decision: Poster
Title: TapMo: Shape-aware Motion Generation of Skeleton-free Characters
Authors: Jiaxu Zhang, Shaoli Huang, Zhigang Tu, Xin Chen, Xiaohang Zhan, Gang Yu, Ying Shan
Affiliations: Tencent PCG; Tencent AI Lab; Wuhan University
Conference: iclr 2024 (main track)
Keywords: 3D animation;text-driven animation;motion generation;mesh deformation
Decision: Poster
Title: Spectrally Transformed Kernel Regression
Authors: Runtian Zhai, Rattana Pukdee, Roger Jin, Nina Balcan, Pradeep K Ravikumar
Affiliations: Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Learning Theory;Unlabeled Data;Kernel Methods;Semi-supervised Learning;Representation Learning;Label Propagation
Decision: Spotlight
Title: Improved statistical and computational complexity of the mean-field Langevin dynamics under structured data
Authors: Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu
Affiliations: Center for Data Science, New York University and Center for Computational Mathematics, Flatiron Institute; IHPC, Agency for Science, Technology and Research, Singapore and CFAR, Agency for Science, Technology and Research, Singapore; Department of Mathematical Informatics, the University of Tokyo and Center for Advanced Intelligence Project, RIKEN
Conference: iclr 2024 (main track)
Keywords: neural network optimization;feature learning;mean-field Langevin dynamics
Decision: Poster
Title: ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Authors: Sunghyeon Woo, SunWoo Lee, Dongsuk Jeon
Affiliations: Seoul National University, Seoul, Korea
Conference: iclr 2024 (main track)
Keywords: Memory efficient training;Activation-compressed training;Average Quantization;NLP;Transformer
Decision: Poster
Title: PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
Authors: Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
Affiliations: Department of Statistics, Iowa State University; Department of Electrical and Computer Engineering, The Ohio State University; IBM Research, IBM Thomas J. Watson Research Center
Conference: iclr 2024 (main track)
Keywords: min-max optimization;adaptive batch size;policy evaluation.
Decision: Spotlight
Title: DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models
Authors: Licheng Wen, DAOCHENG FU, Xin Li, Xinyu Cai, Tao MA, Pinlong Cai, Min Dou, Botian Shi, Liang He, Yu Qiao
Affiliations: East China Normal University, Shanghai Artificial Intelligence Laboratory; East China Normal University; Shanghai Artificial Intelligence Laboratory; The Chinese University of Hong Kong, Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Autonmous Driving;Large Language Model;Embodied AI;Knowledge-driven
Decision: Poster
Title: Universal Humanoid Motion Representations for Physics-Based Control
Authors: Zhengyi Luo, Jinkun Cao, Josh Merel, Alexander Winkler, Jing Huang, Kris Kitani, Weipeng Xu
Affiliations: Reality Labs Research, Meta; Carnegie Mellon University; Reality Labs Research, Meta; Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: humanoid control;motion generation;physics simulation
Decision: Spotlight
Title: ImagenHub: Standardizing the evaluation of conditional image generation models
Authors: Max Ku, Tianle Li, Kai Zhang, Yujie Lu, XINGYU FU, Wenwen Zhuang, Wenhu Chen
Affiliations: Central South University; Ohio State University; University of Pensylvania; University of Waterloo; University of California, Santa Barbara
Conference: iclr 2024 (main track)
Keywords: Image Generation;Image Editing;Evaluation;Benchmark;Diffusion Model
Decision: Poster
Title: Amortizing intractable inference in large language models
Authors: Edward Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie, Yoshua Bengio, Nikolay Malkin
Affiliations: Mila – Quebec AI Institute, Universit ´e de Montr ´eal; University of Oxford
Conference: iclr 2024 (main track)
Keywords: large language models;LLMs;Bayesian inference;chain-of-thought reasoning;latent variable models;generative flow networks;GFlowNets
Decision: Oral
Title: Augmented Bayesian Policy Search
Authors: Mahdi Kallel, Debabrota Basu, Riad Akrour, Carlo D'Eramo
Affiliations: Department of Computer Science, TU Darmstadt, Germany; Hessian Center for Artificial Intelligence (Hessian.ai), Germany; Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 – CRIStAL, Lille, France; Center for Artificial Intelligence and Data Science, University of Würzburg, Germany
Conference: iclr 2024 (main track)
Keywords: Reinforcement learning;Policy search;Bayesian optimization;Gaussian Processes
Decision: Poster
Title: Unlocking the Power of Representations in Long-term Novelty-based Exploration
Authors: Alaa Saade, Steven Kapturowski, Daniele Calandriello, Charles Blundell, Pablo Sprechmann, Leopoldo Sarra, Oliver Groth, Michal Valko, Bilal Piot
Affiliations: Department of Physics, Friedrich-Alexander Universität Erlangen-Nürnberg, work done while interning at DeepMind; Google Deepmind
Conference: iclr 2024 (main track)
Keywords: Deep RL;exploration;density estimation;representation learning
Decision: Spotlight
Title: H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields
Authors: Minyoung Park, MIRAE DO, Yeon Jae Shin, Jaeseok Yoo, Jongkwang Hong, Joongrock Kim, Chul Lee
Affiliations: AI Lab, CTO Division, LG Electronics, Republic of Korea
Conference: iclr 2024 (main track)
Keywords: 3D reconstruction;Neural implicit surface learning
Decision: Spotlight
Title: Implicit bias of SGD in $L_2$-regularized linear DNNs: One-way jumps from high to low rank
Authors: Zihan Wang, Arthur Jacot
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA
Conference: iclr 2024 (main track)
Keywords: implicit bias;SGD;low-rank;linear networks
Decision: Spotlight
Title: BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
Authors: Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe
Affiliations: The University of Adelaide
Conference: iclr 2024 (main track)
Keywords: AI Safety;Trustworthy Machine Learning;Machine Learning Robustness;Adversarial Attacks
Decision: Poster
Title: Safe and Robust Watermark Injection with a Single OoD Image
Authors: Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou
Affiliations: Department of Electrical and Computer Engineering, University of Texas at Austin; Department of Computer Science and Engineering, Michigan State University
Conference: iclr 2024 (main track)
Keywords: Backdoor;Watermarking;robustness
Decision: Poster
Title: RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
Authors: Samuel Pegg, Kai Li, Xiaolin Hu
Affiliations: Department of Computer Science and Technology, Institute for AI, BNRist, Tsinghua University; Tsinghua Laboratory of Brain and Intelligence (THBI), IDG/McGovern Institute for Brain Research, Tsinghua University; Chinese Institute for Brain Research (CIBR), Beijing 100010, China; Department of Computer Science and Technology, Institute for AI, BNRist, Tsinghua University, Beijing 100084, China
Conference: iclr 2024 (main track)
Keywords: Audio-Visual;Multi-Modal;Time-Frequency-Domain;Speech-Separation;Model-Compression
Decision: Poster
Title: CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding
Authors: Junyan Li, Delin Chen, Yining Hong, Zhenfang Chen, Peihao Chen, Yikang Shen, Chuang Gan
Affiliations: UMass Amherst; University of California, Los Angeles; UMass Amherst and MIT-IBM Watson AI Lab; MIT-IBM Watson AI Lab; South China University of Technology; Wuhan University
Conference: iclr 2024 (main track)
Keywords: vision-language model;compositionality
Decision: Poster
Title: EasyTPP: Towards Open Benchmarking Temporal Point Processes
Authors: Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, caigao jiang, Chen Pan, James Zhang, Qingsong Wen, JUN ZHOU, Hongyuan Mei
Affiliations: Alibaba Group; Ant Group; TTIC
Conference: iclr 2024 (main track)
Keywords: Event sequence;Temporal point process;Open benchmarking
Decision: Poster
Title: Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization
Authors: Yuhang Zang, Hanlin Goh, Joshua Susskind, Chen Huang
Affiliations: Nanyang Technological University; Apple Inc.
Conference: iclr 2024 (main track)
Keywords: Vision-Language Model;Finetuning;Prompt Learning;OOD Generalization
Decision: Poster
Title: ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
Authors: Guangchi Fang, Qingyong Hu, Longguang Wang, Yulan Guo
Affiliations: Sun Yat-sen University; University of Oxford; National University of Defense Technology; Aviation University of Air Force
Conference: iclr 2024 (main track)
Keywords: NeRF; NeRF Compression; 3D Data Compression
Decision: Poster
Title: Transport meets Variational Inference: Controlled Monte Carlo Diffusions
Authors: Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken
Affiliations: Kings College London, London, UK; University of Cambridge, Cambridge, UK; KIT, Karlsruhe, Germany
Conference: iclr 2024 (main track)
Keywords: SDEs;Diffusion Models;Optimal Transport;Annealed Importance Sampling;Schroedinger Bridges;Variational Inference
Decision: Poster
Title: Confidential-DPproof: Confidential Proof of Differentially Private Training
Authors: Ali Shahin Shamsabadi, Gefei Tan, Tudor Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller
Affiliations: The Alan Turing Institute; University of Cambridge; Inria, Univ Lille; Inria, Univ Montpellier; Vector Institute; University of Toronto; Northwestern University; Brave Software; Imperial College London
Conference: iclr 2024 (main track)
Keywords: privacy auditing;zero knowledge proof;differentially private training
Decision: Spotlight
Title: Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold
Authors: Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai, Ivor Tsang, Yong Liu
Affiliations: CFAR and IHPC, Agency for Science, Technology and Research; Zhejiang University; Xi’an Jiaotong University; SGIT AI Lab, State Grid Corporation of China
Conference: iclr 2024 (main track)
Keywords: Decentralized optimization;Stiefel manifold;Conjugate gradient method
Decision: Poster
Title: Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures
Authors: Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu
Affiliations: Department of Electrical Engineering, National Taiwan University
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning;Classical Planning;Genetic Programming;Symbolic AI;Learning from Demonstration
Decision: Poster
Title: Understanding the Effects of RLHF on LLM Generalisation and Diversity
Authors: Robert Kirk, Ishita Mediratta, Christoforos Nalmpantis, Jelena Luketina, Eric Hambro, Edward Grefenstette, Roberta Raileaneu pdfimportantwords=Reinforcement Learning, Imitation Learning, Language Models, Fine Tuning
Affiliations: University of Oxford; Meta; University College London
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;large language models;rlhf;ood generalisation;diversity
Decision: Poster
Title: SOHES: Self-supervised Open-world Hierarchical Entity Segmentation
Authors: Shengcao Cao, Jiuxiang Gu, Jason Kuen, Hao Tan, Ruiyi Zhang, Handong Zhao, Ani Nenkova, Liangyan Gui, Tong Sun, Yu-Xiong Wang
Affiliations: University of Illinois Urbana-Champaign; Adobe Research
Conference: iclr 2024 (main track)
Keywords: self-supervised learning;open-world learning;segmentation
Decision: Poster
Title: MixSATGEN: Learning Graph Mixing for SAT Instance Generation
Authors: Xinyan Chen, Yang Li, Runzhong Wang, Junchi Yan
Affiliations: Department of Computer Science and Engineering & Zhiyuan College, Shanghai Jiao Tong University; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Combinatorial Optimization;Boolean Satisfiability Problem;Graph Generation;Graph Matching
Decision: Poster
Title: Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Authors: Zecheng Wang, Che Wang, Zixuan Dong, Keith Ross
Affiliations: New York University; SFSC of AI and DL, NYU Shanghai; New York University Abu Dhabi; New York University Shanghai
Conference: iclr 2024 (main track)
Keywords: Deep Reinforcement Learning;Offline Reinforcement Learning;Pretraining
Decision: Poster