hunoutl/paperlists huggingface dataset:
Title: Adversarial Imitation Learning via Boosting
Authors: Jonathan Chang, Dhruv Sreenivas, Yingbing Huang, Kianté Brantley, Wen Sun
Affiliations: Department of Computer Science, Cornell University; Department of Electrical and Computer Engineering, University of Illinois Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Adversarial Imitation Learning;Boosting;Reinforcement Learning
Decision: Poster
Title: Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Authors: Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Dubey, Amr Ahmed, Snigdha Chaturvedi
Affiliations: UNC Chapel Hill; Google DeepMind; Google Research
Conference: iclr 2024 (main track)
Keywords: Fairness;Online Learning;Oblique Decision Trees
Decision: Spotlight
Title: Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Authors: Adel Javanmard, Lin Chen, Vahab Mirrokni, Ashwinkumar Badanidiyuru, Gang Fu
Affiliations: Google Research, University of Southern California; Google Research
Conference: iclr 2024 (main track)
Keywords: aggregate learning;asymptotic analysis;bias;variance;privacy;regularization
Decision: Poster
Title: CAS: A Probability-Based Approach for Universal Condition Alignment Score
Authors: Chunsan Hong, ByungHee Cha, Tae-Hyun Oh
Affiliations: Seoul National Univ., South Korea; KAIST, South Korea; Dept. EE and GSAI, POSTECH & Inst. for CREAT, Yonsei Univ., South Korea
Conference: iclr 2024 (main track)
Keywords: Generative model;diffusion model;score-based prior;conditional diffusion model;text-to-image alignment score;inversion process;image quality assessment;T2I alignment score
Decision: Spotlight
Title: VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition
Authors: Chenyu Liu, XINLIANG ZHOU, Zhengri Zhu, Liming Zhai, Ziyu Jia, Yang Liu
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; Institute of Automation Chinese Academy of Sciences; School of Electronic and Information Engineering, Beijing Jiaotong University; School of Computer Science, Central China Normal University
Conference: iclr 2024 (main track)
Keywords: EEG;Emotion Recognition;Multi-modal;Domain Adaptation;Cross-subject
Decision: Poster
Title: Vision-by-Language for Training-Free Compositional Image Retrieval
Authors: Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
Affiliations: T¨ubingen AI Center & University of T ¨ubingen, Helmholtz Munich, Technical University of Munich; University of Trento; T¨ubingen AI Center & University of T ¨ubingen
Conference: iclr 2024 (main track)
Keywords: Vision-Language Models;Large Language Models
Decision: Poster
Title: One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
Authors: Sheng-Jun Huang, Yi Li, Yiming Sun, Ying-Peng Tang
Affiliations: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics; School of Physical and Mathematical Sciences, Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: active learning;Lewis weight sampling;machine learning;deep learning
Decision: Poster
Title: Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation
Authors: Zhilong Zhang, Yihao Sun, Junyin Ye, Tian-Shuo Liu, Jiaji Zhang, Yang Yu
Affiliations: National Key Laboratory for Novel Software Technology, Nanjing University, China & Polixir Technologies; National Key Laboratory for Novel Software Technology, Nanjing University, China; National Key Laboratory for Novel Software Technology, Nanjing University, China & School of Artificial Intelligence, Nanjing University, China
Conference: iclr 2024 (main track)
Keywords: Preference-based Reinforcement Learning;Offline Reinforcement Learning;Conditional Generative Modeling;Diffusion Models
Decision: Poster
Title: Revisiting Data Augmentation in Deep Reinforcement Learning
Authors: Jianshu Hu, Yunpeng Jiang, Paul Weng
Affiliations: UM-SJTU Joint Institute, Shanghai Jiao Tong University, Shanghai, China; Data Science Research Center, Duke Kunshan University, Kunshan, Jiangsu, China
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Data Augmentation
Decision: Poster
Title: Prompt Gradient Projection for Continual Learning
Authors: Jingyang Qiao, Zhizhong Zhang, Xin Tan, Chengwei Chen, Yanyun Qu, Yong Peng, Yuan Xie
Affiliations: Central South University; The Navy Military Medical University; East China Normal University; Xiamen University
Conference: iclr 2024 (main track)
Keywords: Continual Learning;Prompt Tuning;Gradient Projection;Anti-forgetting
Decision: Spotlight
Title: AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
Authors: Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou
Affiliations: Beijing University of Posts and Telecommunications; Pattern Recognition Center, WeChat AI, Tencent Inc.; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: large language mode;agent;multi-agent
Decision: Poster
Title: ResFields: Residual Neural Fields for Spatiotemporal Signals
Authors: Marko Mihajlovic, Sergey Prokudin, Marc Pollefeys, Siyu Tang
Affiliations: ETH Zurich; ROCS, University Hospital Balgrist, University of Zurich; ETH Zurich; Microsoft; ETH Zurich
Conference: iclr 2024 (main track)
Keywords: neural fields;NeRF;reconstruction
Decision: Spotlight
Title: Parametric Augmentation for Time Series Contrastive Learning
Authors: Xu Zheng, Tianchun Wang, Wei Cheng, Aitian Ma, Haifeng Chen, Mo Sha, Dongsheng Luo
Affiliations: School of Computing and Information Sciences, Florida International University, US; College Information Sciences and Technology, The Pennsylvania State University, US; NEC Laboratories America, US
Conference: iclr 2024 (main track)
Keywords: contrastive learning;neural networks;stream data analysis
Decision: Poster
Title: Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Authors: Yumeng Li, Margret Keuper, Dan Zhang, Anna Khoreva
Affiliations: Bosch Center for Artificial Intelligence; Bosch Center for Artificial Intelligence, University of Tübingen; University of Mannheim, Max Planck Institute for Informatics; Bosch Center for Artificial Intelligence, University of Mannheim
Conference: iclr 2024 (main track)
Keywords: diffusion models;layout-to-image;domain generalization
Decision: Poster
Title: MedJourney: Counterfactual Medical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Conference: iclr 2024 (main track)
Keywords: instruction image editing;instruction-learning;image generation;diffusion;natural-language instruction;biomedicine;counterfactual generation;disease progression modeling;GPT-4;imaging reports;latent diffusion model;curriculum learning;MIMIC-CXR
Decision: Reject
Title: Invariance-based Learning of Latent Dynamics
Authors: Kai Lagemann, Christian Lagemann, Sach Mukherjee
Affiliations: Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; MRC Biostatistics Unit, University of Cambridge, Cambridge, UK; Statistics and Machine Learning, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany; Department of Mechanical Engineering, University of Washington, Seattle, USA
Conference: iclr 2024 (main track)
Keywords: Latent Dynamical Model;Invariant Decomposition;Neural Network;Spatio-Temporal Attention
Decision: Poster
Title: Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy
Authors: Simon Ging, Maria A. Bravo, Thomas Brox
Affiliations: University of Freiburg, Germany
Conference: iclr 2024 (main track)
Keywords: Open-ended VQA;benchmark;Vision-Language;VL;Vision-Text;VLM;Vision-Language models;Image classification;Visual question answering;Text-generating VLM
Decision: Spotlight
Title: Cameras as Rays: Pose Estimation via Ray Diffusion
Authors: Jason Zhang, Amy Lin, MONEISH KUMAR, Tzu-Hsuan Yang, Deva Ramanan, Shubham Tulsiani
Affiliations: Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: 3D Computer Vision;Pose Estimation;Diffusion
Decision: Oral
Title: Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Authors: Aleksandar Makelov, Georg Lange, Atticus Geiger, Neel Nanda
Affiliations: ; Linguistics Department, Stanford University, Stanford, CA 94305, USA; SERI MATS, Constellation Ofﬁces, Berkeley, California, USA
Conference: iclr 2024 (main track)
Keywords: Mechanistic Interpretability;Natural Language Processing;Large Language Models
Decision: Poster
Title: Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory
Authors: Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki
Affiliations: Shanghaitech University; RIKEN AIP; The University of Tokyo & RIKEN AIP
Conference: iclr 2024 (main track)
Keywords: Federated Learning;Feature Learning Theory;FedAvg
Decision: Poster
Title: HyperAttention: Long-context Attention in Near-Linear Time
Authors: Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David Woodruff, Amir Zandieh
Affiliations: Independent Researcher; CMU, Google Research; Yale University; Yale University, Google Research; Google Research
Conference: iclr 2024 (main track)
Keywords: self-attention;locality sensitive hashing;long-range context
Decision: Poster
Title: HoloNets: Spectral Convolutions do extend to Directed Graphs
Authors: Christian Koke, Daniel Cremers
Affiliations: Technical University Munich and Munich Center for Machine Learning
Conference: iclr 2024 (main track)
Keywords: Spectral Graph Convolutions;Directed Graphs;Weighted Graphs;Complex Analysis;Spectral Graph Theory;Heterophily;Node Classification;Graph Regression pectral Graph Theory;Rigorous Proofs
Decision: Poster
Title: L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Authors: Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
Affiliations: University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Code Generation;Memory-augmented LLMs;Large Language Models (LLMs);LLM coder agent;LLM Agent;Stored-program computer;von neumann architecture
Decision: Poster
Title: Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes
Authors: Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet
Affiliations: School of Computing, National University of Singapore, Singapore; LIDS and EECS, Massachusetts Institute of Technology, USA
Conference: iclr 2024 (main track)
Keywords: meta-learning;Bayesian optimization;risk measure;value-at-risk;conditional value-at-risk
Decision: Poster
Title: Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
Authors: Niels Mündler, Jingxuan He, Slobodan Jenko, Martin Vechev
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: iclr 2024 (main track)
Keywords: language model;hallucination;trustworthy artificial intelligence;reasoning
Decision: Poster
Title: Building Cooperative Embodied Agents Modularly with Large Language Models
Authors: Hongxin Zhang, Weihua Du, Jiaming Shan, Qinhong Zhou, Yilun Du, Joshua B Tenenbaum, Tianmin Shu, Chuang Gan
Affiliations: MIT; University of Massachusetts Amherst/MIT-IBM Watson AI Lab; University of Massachusetts Amherst; Institute for Interdisciplinary Information Sciences, Tsinghua University; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Embodied Intelligence;Multi-Agent Cooperation;Human-AI Interaction;Communication
Decision: Poster
Title: ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
Authors: Zhibin Gou, Zhihong Shao, Yeyun Gong, yelong shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen
Affiliations: Microsoft Azure AI; Microsoft Research; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Mathematical Reasoning;Tool Learning
Decision: Poster
Title: Privileged Sensing Scaffolds Reinforcement Learning
Authors: Edward Hu, James Springer, Oleh Rybkin, Dinesh Jayaraman
Affiliations: UC Berkeley; University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;model-based reinforcement learning;world models;robotics;privileged information;asymmetric learning;multimodality;perception;sensing
Decision: Spotlight
Title: Self-supervised Representation Learning from Random Data Projectors
Authors: Yi Sui, Tongzi Wu, Jesse Cresswell, Ga Wu, George Stein, Xiao Shi (Gary) Huang, Xiaochen Zhang, Maksims Volkovs
Affiliations: Dalhousie University; Layer 6 AI
Conference: iclr 2024 (main track)
Keywords: Representation learning;Self-supervised learning;random data projections;domain-agnostic representation learning
Decision: Poster
Title: Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
Authors: Neehal Tumma, Mathias Lechner, Noel Loo, Ramin Hasani, Daniela Rus
Affiliations: Harvard University; MIT CSAIL
Conference: iclr 2024 (main track)
Keywords: Low-rank;sparsity;closed-loop;recurrent neural networks
Decision: Spotlight
Title: Interpreting Robustness Proofs of Deep Neural Networks
Authors: Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Affiliations: University of Illinois Urbana-Champaign; University of Illinois Urbana-Champaign, VMware Research
Conference: iclr 2024 (main track)
Keywords: Neural Network Verification;Robustness;Certification
Decision: Poster
Title: Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
Authors: Ted Zadouri, Ahmet Üstün, Arash Ahmadian, Beyza Ermis, Acyr Locatelli, Sara Hooker
Affiliations: Cohere For AI; Cohere
Conference: iclr 2024 (main track)
Keywords: Mixture of Experts;Parameter-Efficient Fine-Tuning
Decision: Poster
Title: DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
Authors: Maryam Toloubidokhti, Yubo Ye, Ryan Missel, Xiajun Jiang, Nilesh Kumar, Ruby Shrestha, Linwei Wang
Affiliations: Zhejiang University, Hangzhou, China; Rochester Institute of Technology, Rochester, NY, USA
Conference: iclr 2024 (main track)
Keywords: Meta Learning;Physics Informed Neural Network (PINN);Adaptive Sampler;Partial Differential Equations
Decision: Poster
Title: RT-Trajectory: Robotic Task Generalization via Hindsight Trajectory Sketches
Authors: Jiayuan Gu, Sean Kirmani, Paul Wohlhart, Yao Lu, Montserrat Gonzalez Arenas, Kanishka Rao, Wenhao Yu, Chuyuan Fu, Keerthana Gopalakrishnan, Zhuo Xu, Priya Sundaresan, Peng Xu, Hao Su, Karol Hausman, Chelsea Finn, Quan Vuong, Ted Xiao
Affiliations: Stanford University; University of California San Diego; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: robotics;robot learning;robot manipulation;task representation;behavior cloning;multitask imitation learning;goal conditioning
Decision: Spotlight
Title: Illusory Attacks: Information-theoretic detectability matters in adversarial attacks
Authors: Tim Franzmeyer, Stephen McAleer, Joao F. Henriques, Jakob Foerster, Philip Torr, Adel Bibi, Christian Schroeder de Witt
Affiliations: Carnegie Mellon University; University of Oxford
Conference: iclr 2024 (main track)
Keywords: sequential decision making;adversarial attacks;robust human-AI systems;robust mixed-autonomy systems
Decision: Spotlight
Title: Sparse Autoencoders Find Highly Interpretable Features in Language Models
Authors: Robert Huben, Hoagy Cunningham, Logan Smith, Aidan Ewart, Lee Sharkey
Affiliations: University of Bristol; EleutherAI; Apollo Research; EleutherAI, MATS
Conference: iclr 2024 (main track)
Keywords: language model;interpretability;representation learning;sparsity;dictionary learning;unsupervised learning
Decision: Poster
Title: GTMGC: Using Graph Transformer to Predict Molecule’s Ground-State Conformation
Authors: Guikun Xu, Yongquan Jiang, PengChuan Lei, Yan Yang, Jim Chen
Affiliations: Department of Computer Science, George Mason University, Fairfax, VA, USA; School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu, China; Institute of Artificial Intelligence, Southwest Jiaotong University, Chengdu, China
Conference: iclr 2024 (main track)
Keywords: molecular conformation prediction;molecule modeling;graph neural network;graph transformer
Decision: Spotlight
Title: Attention-based Iterative Decomposition for Tensor Product Representation
Authors: TAEWON PARK, inchul choi, Minho Lee
Affiliations: Kyungpook National University, South Korea; ALI Co., Ltd., South Korea
Conference: iclr 2024 (main track)
Keywords: tensor product representation;systematic generalization;compositional generalization;binding problem;structured representation learning;competitive attention
Decision: Poster
Title: Few-shot Hybrid Domain Adaptation of Image Generator
Authors: Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Tu Zheng, Zheng Yang, Wenxiao Wang, Xiaohui Zhong, Xiaobo Ren, Xiaofei He
Affiliations: Alibaba Cloud; Fabu Inc.; Ningbo Zhoushan Port Co., Ltd; Ningbo Beilun Third Container Terminal Co., Ltd; State Key Lab of CAD&CG, Zhejiang University; Zhejiang University
Conference: iclr 2024 (main track)
Keywords: Few shot; Domain Adaptation; Image Generator
Decision: Poster
Title: Multimarginal Generative Modeling with Stochastic Interpolants
Authors: Michael Albergo, Nicholas Boffi, Michael Lindsey, Eric Vanden-Eijnden
Affiliations: Courant Institute of Mathematical Sciences, New York University, New York, NY 10012, USA; Center for Cosmology and Particle Physics, New York University, New York, NY 10003, USA; Department of Mathematics, University of California, Berkeley, Berkeley, CA 94720, USA
Conference: iclr 2024 (main track)
Keywords: multi-marginal;unsupervised learning;generative modeling;measure transport;optimal transport
Decision: Poster
Title: CLIP the Bias: How Useful is Balancing Data in Multimodal Learning?
Authors: Ibrahim Alabdulmohsin, Xiao Wang, Andreas Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai
Affiliations: Boston, USA; New York, USA; Google Deepmind, Zürich, Switzerland
Conference: iclr 2024 (main track)
Keywords: contrastive language image pretraining;multimodal learning;fairness;bias;data balancing
Decision: Poster
Title: QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models
Authors: Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai, Bohan Zhuang
Affiliations: ZIP Lab, Monash University; Beihang University; University of Science and Technology Beijing; SenseTime Research
Conference: iclr 2024 (main track)
Keywords: Network Quantization;Large Language Models
Decision: Poster
Title: Gradual Optimization Learning for Conformational Energy Minimization
Authors: Artem Tsypin, Leonid A. Ugadiarov, Kuzma Khrabrov, Alexander Telepov, Egor Rumiantsev, Alexey Skrynnik, Aleksandr Panov, Dmitry P. Vetrov, Elena Tutubalina, Artur Kadurin
Affiliations: FRC CSC RAS, Moscow; AIRI, Moscow; Constructor University, Bremen; AIRI, Moscow; Sber AI, Moscow; ISP RAS Research Center for Trusted Artificial Intelligence, Moscow; AIRI, Moscow; Kuban State University, Krasnodar; AIRI, Moscow; FRC CSC RAS, Moscow
Conference: iclr 2024 (main track)
Keywords: energy minimization;conformational optimization;geometry optimization
Decision: Poster
Title: SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction
Authors: Xinyuan Chen, Yaohui Wang, Lingjun Zhang, Shaobin Zhuang, Xin Ma, Jiashuo Yu, Yali Wang, Dahua Lin, Yu Qiao, Ziwei Liu
Affiliations: Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences; East China Normal University, Shanghai Artificial Intelligence Laboratory; Dept of Data Science & AI, Monash University, Shanghai Artificial Intelligence Laboratory; Shanghai Jiao Tong University; S-Lab, Nanyang Technological University; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: generative model; video generation; diffusion model
Decision: Poster
Title: A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
Authors: Olivier Laurent, Emanuel Aldea, Gianni Franchi
Affiliations: U2IS, ENSTA Paris, Polytechnic Institute of Paris; SATIE, Paris-Saclay University
Conference: iclr 2024 (main track)
Keywords: bayesian posterior;bayesian neural networks;dataset;ensembles;uncertainty quantification;weight-space symmetries;computer vision
Decision: Poster
Title: ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Authors: Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu
Affiliations: Hong Kong University of Science and Technology; Peking University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Large Language Model;Multi-Agent Debate;LLM evaluators
Decision: Poster
Title: ZeroFlow: Scalable Scene Flow via Distillation
Authors: Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, ERIC EATON, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
Conference: iclr 2024 (main track)
Keywords: Scene Flow;Distillation;Scaling
Decision: Poster
Title: MVDream: Multi-view Diffusion for 3D Generation
Authors: Yichun Shi, Peng Wang, Jianglong Ye, Long Mai, Kejie Li, Xiao Yang
Affiliations: ByteDance, USA; University of California, San Diego
Conference: iclr 2024 (main track)
Keywords: Image Generation;3D Generation;Diffusion Model;Multi-view consistency
Decision: Poster
Title: Multisize Dataset Condensation
Authors: Yang He, Lingao Xiao, Joey Tianyi Zhou, Ivor Tsang
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; CFAR, Agency for Science, Technology and Research, Singapore
Conference: iclr 2024 (main track)
Keywords: Dataset Condensation;Dataset Distillation;Image Classification
Decision: Oral
Title: Neural-Symbolic Recursive Machine for Systematic Generalization
Authors: Qing Li, Yixin Zhu, Yitao Liang, Yingnian Wu, Song-Chun Zhu, Siyuan Huang
Affiliations: National Key Laboratory of General Artificial Intelligence, BIGAI and Institute for Artificial Intelligence, Peking University; National Key Laboratory of General Artificial Intelligence, BIGAI; Department of Statistics, UCLA; Institute for Artificial Intelligence, Peking University
Conference: iclr 2024 (main track)
Keywords: Neuro-symbolic AI;Systematic Generalization;Compositional Generalization
Decision: Poster
Title: Improving Non-Transferable Representation Learning by Harnessing Content and Style
Authors: Ziming Hong, Zhenyi Wang, Li Shen, Yu Yao, Zhuo Huang, Shiming Chen, chuanwu yang, Mingming Gong, Tongliang Liu
Affiliations: University of Maryland, College Park; Carnegie Mellon University; JD Explore Academy; The University of Melbourne; Mohamed bin Zayed University of Artiﬁcial Intelligence; Huazhong University of Science and Technology; Sydney AI Centre, The University of Sydney
Conference: iclr 2024 (main track)
Keywords: non-transferable representation learning;domain adaptation;transfer learning
Decision: Spotlight
Title: OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Authors: Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
Affiliations: Global Technology Applied Research, JPMorgan Chase, USA
Conference: iclr 2024 (main track)
Keywords: Rehearsal-free continual learning;Class-incremental learning;Parameter-efficient fine-tuning;Outlier regularization
Decision: Poster
Title: AlpaGasus: Training a Better Alpaca with Fewer Data
Authors: Lichang Chen, Shiyang Li, Jun Yan, Hai Wang, Kalpa Gunaratna, Vikas Yadav, Zheng Tang, Vijay Srinivasan, Tianyi Zhou, Heng Huang, Hongxia Jin
Affiliations: University of Maryland, College Park; University of Southern California; Samsung Research America
Conference: iclr 2024 (main track)
Keywords: data selection; large language model; instruction tuning;
Decision: Poster
Title: On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
Authors: Matthias Lanzinger, Pablo Barcelo
Affiliations: PUC Chile & IMFD & CENIA; TU Wien & University of Oxford
Conference: iclr 2024 (main track)
Keywords: WL test;graph neural networks;graph motif parameters;subgraph counting
Decision: Poster