hunoutl/paperlists huggingface dataset:
Title: Universal Guidance for Diffusion Models
Authors: Arpit Bansal, Hong-Min Chu, Avi Schwarzschild, Roni Sengupta, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: New York University; University of North Carolina; University of Maryland
Conference: iclr 2024 (main track)
Keywords: Generative Models;Computer Vision;Diffusion Models
Decision: Poster
Title: Adversarial Attacks on Fairness of Graph Neural Networks
Authors: Binchi Zhang, Yushun Dong, Chen Chen, Yada Zhu, Minnan Luo, Jundong Li
Affiliations: University of Virginia; Xi’an Jiaotong University; IBM Research
Conference: iclr 2024 (main track)
Keywords: Adversarial Attacks;Algorithmic Fairness;Graph Neural Networks
Decision: Poster
Title: Solving High Frequency and Multi-Scale PDEs with Gaussian Processes
Authors: Shikai Fang, Madison Cooley, Da Long, Shibo Li, Mike Kirby, Shandian Zhe
Affiliations: University of Utah, Salt Lake City, UT 84112, USA
Conference: iclr 2024 (main track)
Keywords: ML PDE solver;gaussian process;PINN
Decision: Poster
Title: An Investigation of Representation and Allocation Harms in Contrastive Learning
Authors: Subha Maity, Mayank Agarwal, Mikhail Yurochkin, Yuekai Sun
Affiliations: IBM Research, MIT-IBM Watson Lab, Cambridge, MA; Department of Statistics, University of Michigan, Ann Arbor, MI
Conference: iclr 2024 (main track)
Keywords: Underrepresentation;Self-supervised learning;Contrastive learning
Decision: Poster
Title: Large-Vocabulary 3D Diffusion Model with Transformer
Authors: Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu
Affiliations: S-Lab, Nanyang Technological University, Shanghai Artificial Intelligence Laboratory; S-Lab, Nanyang Technological University; The Chinese University of Hong Kong, Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Large-Vocabulary 3D Objects; 3D Generation; Transformer; Diffusion model
Decision: Poster
Title: Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design
Authors: Heng Dong, Junyu Zhang, Chongjie Zhang
Affiliations: Huazhong University of Science and Technology; Washington University in St. Louis; IIIS, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Robot Design;Hyperbolic Space;Coarse-to-Fine;Multi-Cellular
Decision: Poster
Title: Efficient Integrators for Diffusion Generative Models
Authors: Kushagra Pandey, Maja Rudolph, Stephan Mandt
Affiliations: Bosch Center for Artificial Intelligence; Department of Computer Science, University of California, Irvine
Conference: iclr 2024 (main track)
Keywords: Diffusion models;Deep Generative Models;Efficient Sampling
Decision: Poster
Title: DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
Authors: Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin, Enze Xie, Zhicheng YANG, Qingxing Cao, Haiming Wang, Xiongwei Han, Jing Tang, Chengming Li, Xiaodan Liang
Affiliations: Sun Yat-Sen University; Huawei Noah’s Ark Lab; Shenzhen MSU-BIT University; The Hong Kong University of Science and Technology; The Hong Kong University of Science and Technology (Guangzhou); The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Large Language Models;In-context Learning;Re-ranking;Chain-of-thought;PCA
Decision: Poster
Title: Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
Authors: Sijia Chen, Baochun Li, Di Niu
Affiliations: Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada; Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada
Conference: iclr 2024 (main track)
Keywords: Large Language Models; Prompt Engineering; Boosting Mechanism;
Decision: Poster
Title: DeepZero: Scaling Up Zeroth-Order Optimization for Deep Model Training
Authors: AOCHUAN CHEN, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu
Affiliations: Lawrence Livermore National Laboratory; Michigan State University; UC Santa Barbara
Conference: iclr 2024 (main track)
Keywords: gradient-free learning;zeroth-order optimization;gradient sparsity
Decision: Poster
Title: Explaining Time Series via Contrastive and Locally Sparse Perturbations
Authors: Zichuan Liu, Yingying ZHANG, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Affiliations: Ailibaba Group, Tsinghua University; Florida International University; Ailibaba Group; A*STAR; The University of Hong Kong; Pennsylvania State University; Nanjing University, Ailibaba Group; New Jersey Institute of Technology; Nanjing University
Conference: iclr 2024 (main track)
Keywords: time series;explainability;perturbation
Decision: Poster
Title: Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
Authors: Debo Cheng, Ziqi Xu, Jiuyong Li, Lin Liu, Jixue Liu, Thuc Le
Affiliations: University of South Australia, Data61, CSIRO; University of South Australia
Conference: iclr 2024 (main track)
Keywords: Causal Inference;Variational AutoEncoder;Instrumental Variable
Decision: Poster
Title: Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
Authors: Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin CUI, Wenming Yang
Affiliations: University of Chinese Academy of Sciences; Shenzhen International Graduate School, Tsinghua University; Peking University; Peng Cheng Laboratory
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Structure-Based Drug Design;Molecule Generation
Decision: Poster
Title: Seer: Language Instructed Video Prediction with Latent Diffusion Models
Authors: Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao
Affiliations: NVIDIA; IIIS, Tsinghua University; Shanghai Qi Zhi Institute
Conference: iclr 2024 (main track)
Keywords: video prediction;multi-modality generation;diffusion model;language-vision model
Decision: Poster
Title: Learning Grounded Action Abstractions from Language
Authors: Lio Wong, Jiayuan Mao, Pratyusha Sharma, Zachary Siegel, Jiahai Feng, Noa Korneev, Joshua B Tenenbaum, Jacob Andreas
Affiliations: Princeton University; MIT; Microsoft; UC Berkeley
Conference: iclr 2024 (main track)
Keywords: planning abstractions;hierarchical planning;library learning;learning from language
Decision: Poster
Title: SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
Authors: Mucong Ding, Bang An, Yuancheng Xu, Anirudh Satheesh, Furong Huang
Affiliations: Department of Computer Science, University of Maryland
Conference: iclr 2024 (main track)
Keywords: Data Augmentation;Learnable Augmentation;Bilevel Optimization
Decision: Poster
Title: FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling
Authors: Yu Tian, Min Shi, Yan Luo, Ava Kouhana, Tobias Elze, Mengyu Wang
Affiliations: Harvard Ophthalmology AI Lab, Harvard University
Conference: iclr 2024 (main track)
Keywords: Medical Segmentation;Medical Imaging;Fairness Learning;Health Equity;Deep Learning;Trustworthy AI
Decision: Poster
Title: Guess & Sketch: Language Model Guided Transpilation
Authors: Celine Lee, Abdulrahman Mahmoud, Michal Kurek, Simone Campanoni, David Brooks, Stephen Chong, Gu-Yeon Wei, Alexander Rush
Affiliations: Harvard University; Cornell University; Northwestern University
Conference: iclr 2024 (main track)
Keywords: transpilation;program translation;assembly code;language model;neurosymbolic;machine learning
Decision: Poster
Title: Robustifying and Boosting Training-Free Neural Architecture Search
Authors: Zhenfeng He, Yao Shu, Zhongxiang Dai, Bryan Kian Hsiang Low
Affiliations: Laboratory for Information and Decision Systems, Massachusetts Institute of Technology; Department of Computer Science, National University of Singapore; Guangdong Lab of AI and Digital Economy (SZ)
Conference: iclr 2024 (main track)
Keywords: Neural Architecture Search;Training-free NAS;Bayesian Optimization;Precision@K;Partial Monitoring
Decision: Poster
Title: Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World
Authors: Chunshu Wu, Ruibing Song, Chuan Liu, Yunan Yang, Ang Li, Michael Huang, Tong Geng
Affiliations: Department of Electrical and Computer Engineering, University of Rochester; Physical & Computational Sciences Directorate, Pacific Northwestern National Laboratory; Department of Mathematics, Cornell University
Conference: iclr 2024 (main track)
Keywords: graph learning;nature-powered computing;dynamic physical system
Decision: Poster
Title: Relay Diffusion: Unifying diffusion process across resolutions for image synthesis
Authors: Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
Affiliations: Tsinghua University, Zhipu AI; Zhipu AI; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: generative models;diffusion model;image synthesis
Decision: Spotlight
Title: Large Language Models as Tool Makers
Authors: Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou
Affiliations: Google Deepmind, Stanford University; Google Deepmind, Princeton University; Google Deepmind
Conference: iclr 2024 (main track)
Keywords: large language models;tool making;tool using;serving efficiency
Decision: Poster
Title: Counting Graph Substructures with Graph Neural Networks
Authors: Charilaos Kanatsoulis, Alejandro Ribeiro
Affiliations: Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104
Conference: iclr 2024 (main track)
Keywords: graph neural networks;expressive power;representation learning;subgraph isomorphism;cliques;cycles;motifs;substructures;count;message-passing
Decision: Poster
Title: Learning Thresholds with Latent Values and Censored Feedback
Authors: Jiahao Zhang, Tao Lin, Weiqiang Zheng, Zhe Feng, Yifeng Teng, Xiaotie Deng
Affiliations: Harvard University; Yale University; School of Electronics Engineering and Computer Science, Peking University; CFCS, Peking University; Google Research
Conference: iclr 2024 (main track)
Keywords: Threshold;Latent Value;Censored Feedback;Query Complexity
Decision: Poster
Title: Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting
Authors: Yuxin Li, Wenchao Chen, Xinyue Hu, Bo Chen, baolin sun, Mingyuan Zhou
Affiliations: Xidian University, Xi'an, 710071, China.; McCombs School of Business, The University of Texas at Austin, Austin, TX 78712; National Key Laboratory of Radar Signal Processing, Xidian University, Xi'an, 710071, China.
Conference: iclr 2024 (main track)
Keywords: time series forecasting;generative modeling;deep learning;diffusion model
Decision: Poster
Title: Diverse Projection Ensembles for Distributional Reinforcement Learning
Authors: Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan
Affiliations: Delft University of Technology, The Netherlands
Conference: iclr 2024 (main track)
Keywords: Projections;Epistemic Uncertainty;Ensembles;Exploration;Reinforcement Learning;Distributional Reinforcement Learning;Machine Learning;Artificial Intelligence
Decision: Poster
Title: EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
Authors: Huaijin Wu, Wei Liu, Yatao Bian, Jiaxiang Wu, Nianzu Yang, Junchi Yan
Affiliations: Tencent AI Lab, XVERSE, China; Tencent AI Lab; Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: protein-protein docking;energy-based model;geometric deep learning;energy-function
Decision: Poster
Title: Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
Authors: Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
Affiliations: Mila, Université de Montréal; Princeton University; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;data augmentation;stitching
Decision: Poster
Title: A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines
Authors: Manju Garimella, Denizhan Pak, Justin Wood, Samantha Wood
Affiliations: Department of Informatics, School of Informatics, Computing, & Engineering, Cognitive Science Program, Program in Neuroscience; Department of Informatics, School of Informatics, Computing, & Engineering; Department of Psychological & Brain Sciences, Cognitive Science Program, Program in Neuroscience
Conference: iclr 2024 (main track)
Keywords: newborn;controlled rearing;object recognition;object segmentation;reinforcement learning;benchmark;Turing test;development
Decision: Poster
Title: Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning
Authors: Geraud Nangue Tasse, Devon Jarvis, Steven James, Benjamin Rosman
Affiliations: School of Computer Science and Applied Mathematics, University of the Witwatersrand, Johannesburg, South Africa
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Multi task;Temporal logic;LTL;Composition;Zero-shot;Transfer learning
Decision: Poster
Title: Learning Stackable and Skippable LEGO Bricks for Efficient, Reconfigurable, and Variable-Resolution Diffusion Modeling
Authors: Huangjie Zheng, Zhendong Wang, Jianbo Yuan, Guanghan Ning, Pengcheng He, Quanzeng You, Hongxia Yang, Mingyuan Zhou
Affiliations: Microsoft Azure AI; ByteDance Inc.; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: Efficient diffusion models;short-span attention;local-feature enrichment;global-content orchestration;multi-scale generation
Decision: Poster
Title: Teach LLMs to Phish: Stealing Private Information from Language Models
Authors: Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
Affiliations: Princeton University; Google DeepMind; Dartmouth College; Southeast University
Conference: iclr 2024 (main track)
Keywords: LLMs;machine learning;memorization;privacy;data poisoning;federated learning;large language models;privacy risks
Decision: Poster
Title: Grounding Language Plans in Demonstrations Through Counterfactual Perturbations
Authors: Yanwei Wang, Johnson (Tsun-Hsuan) Wang, Jiayuan Mao, Michael Hagenow, Julie Shah
Affiliations: MIT CSAIL
Conference: iclr 2024 (main track)
Keywords: Grounding LLM;Learning Mode Abstractions for Manipulation;Learning from Demonstration;Robotics;Task and Motion Planning
Decision: Spotlight
Title: Demystifying Embedding Spaces using Large Language Models
Authors: Guy Tennenholtz, Yinlam Chow, ChihWei Hsu, Jihwan Jeong, Lior Shani, Azamat Tulepbergenov, Deepak Ramachandran, Martin Mladenov, Craig Boutilier
Affiliations: Google Research
Conference: iclr 2024 (main track)
Keywords: large language models;interpretability methods;representation;recommender systems
Decision: Poster
Title: On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Authors: Rohan Subramani, Marcus Williams, Max Heitmann, Halfdan Holm, Charlie Griffin, Joar Skalse
Affiliations: AI Safety Hub, Columbia University; University of Oxford; AI Safety Hub
Conference: iclr 2024 (main track)
Keywords: reward hypothesis;Markov reward;multi-objective reinforcement learning;linear temporal logic;reward machines
Decision: Poster
Title: Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization
Authors: Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy
Affiliations: MICS, CentraleSup ´elec, Universit ´e Paris-Saclay, Gif-sur-Yvette, France; VitaDX, Paris, France
Conference: iclr 2024 (main track)
Keywords: Self-Supervised Learning;Unsupervised Domain Generalization;Distribution Shifts
Decision: Poster
Title: Data Debugging with Shapley Importance over Machine Learning Pipelines
Authors: Bojan Karlaš, David Dao, Matteo Interlandi, Sebastian Schelter, Wentao Wu, Ce Zhang
Affiliations: Harvard University; University of Amsterdam; University of Chicago; Microsoft; ETH Zurich
Conference: iclr 2024 (main track)
Keywords: data debugging;data valuation;shapley value;machine learning pipelines
Decision: Poster
Title: Nearly $d$-Linear Convergence Bounds for Diffusion Models via Stochastic Localization
Authors: Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis
Affiliations: CNRS, ENS Ulm, Paris; Department of Statistics, University of Oxford
Conference: iclr 2024 (main track)
Keywords: diffusion models;score-based generative models;convergence bounds;stochastic localization
Decision: Spotlight
Title: UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition
Authors: Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
Affiliations: University of Southern California, University of California, Davis; Microsoft Research; University of Southern California
Conference: iclr 2024 (main track)
Keywords: named entity recognition;large language model
Decision: Poster
Title: Object centric architectures enable efficient causal representation learning
Authors: Amin Mansouri, Jason Hartford, Yan Zhang, Yoshua Bengio
Affiliations: Valence Labs; Mila, Quebec AI Institute / U. Montreal / CIFAR; Samsung - SAIT AI Lab, Montreal; Mila, Quebec AI Institute
Conference: iclr 2024 (main track)
Keywords: object centric learning;representation learning;disentanglement;weakly supervised learning
Decision: Poster
Title: S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
Authors: Safa Messaoud, Billel Mokeddem, Zhenghai Xue, Linsey Pang, Bo An, Haipeng Chen, Sanjay Chawla
Affiliations: SalesForce; Skywork AI; Qatar Computing Research Institute, Hamad Bin Khalifa University; Data Science, William & Mary; School of Computer Science and Engineering, Nanyang Technological University
Conference: iclr 2024 (main track)
Keywords: Max-Entropy RL;Entropy;Energy-Based-Models
Decision: Poster
Title: Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits
Authors: Qiwei Di, Tao Jin, Yue Wu, Heyang Zhao, Farzad Farnoud, Quanquan Gu
Affiliations: Department of Computer Science, University of Virginia; Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: Dueling Bandit;Variance-aware;contextual bandit
Decision: Poster
Title: Progressive Fourier Neural Representation for Sequential Video Compilation
Authors: Haeyong Kang, Jaehong Yoon, DaHyun Kim, Sung Ju Hwang, Chang Yoo
Affiliations: Korea Advanced Institute of Science and Technology (KAIST)∗; Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2024 (main track)
Keywords: Fourier Neural Implicit Representation;Seqeuntial Video Compilation;Video Continual Learning
Decision: Poster
Title: Curriculum reinforcement learning for quantum architecture search under hardware errors
Authors: Yash J. Patel, Akash Kundu, Mateusz Ostaszewski, Xavier Bonet-Monroig, Vedran Dunjko, Onur Danaci
Affiliations: Lorentz Institute, Leiden University; LIACS, Leiden University; ⟨aQaL⟩Applied Quantum Algorithms, Leiden University; Institute of Theoretical and Applied Informatics, Polish Academy of Sciences; Warsaw University of Technology, Institute of Computer Science
Conference: iclr 2024 (main track)
Keywords: Quantum Computing;Reinforcement Learning;Quantum Chemistry;Quantum Architecture Search;Optimization
Decision: Poster
Title: Masked Structural Growth for 2x Faster Language Model Pre-training
Authors: Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang
Affiliations: Beijing Academy of Artificial Intelligence, Beijing, China; Harbin Institute of Technology, Shenzhen, China
Conference: iclr 2024 (main track)
Keywords: Progressive Learning;Large Language Models;Model Growth
Decision: Poster
Title: Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds
Authors: Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras
Affiliations: University of California, Santa Barbara, CA, USA; University of Maryland, College Park, MD, USA
Conference: iclr 2024 (main track)
Keywords: poisoning;adversarial machine learning;group robustness
Decision: Poster
Title: Functional Interpolation for Relative Positions improves Long Context Transformers
Authors: Shanda Li, Chong You, Guru Guruganesh, Joshua Ainslie, Santiago Ontanon, Manzil Zaheer, Sumit Sanghai, Yiming Yang, Sanjiv Kumar, Srinadh Bhojanapalli
Affiliations: Google DeepMind; Carnegie Mellon University; Google Research
Conference: iclr 2024 (main track)
Keywords: Transformers;positional encoding;long context;length generalization
Decision: Poster
Title: Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Authors: Ziyao Guo, Kai Wang, George Cazenavette, HUI LI, Kaipeng Zhang, Yang You
Affiliations: Xidian University; National University of Singapore; Massachusetts Institute of Technology; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Dataset Distillation
Decision: Poster
Title: Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE
Authors: Zeren Chen, ziqin wang, zhen wang, Huayang Liu, Zhenfei Yin, Si Liu, Lu Sheng, Wanli Ouyang, Jing Shao
Conference: iclr 2024 (main track)
Keywords: Large Language Model (LLM);Multi-task learning;Multi-modal learning;Mixture-of-Experts (MoE);PEFT
Decision: Poster
Title: Image Inpainting via Iteratively Decoupled Probabilistic Modeling
Authors: Wenbo Li, Xin Yu, Kun Zhou, Yibing Song, Zhe Lin
Affiliations: Huawei Noah’s Ark Lab; CUHK (SZ); HKU; Alibaba DAMO Academy; Adobe Research
Conference: iclr 2024 (main track)
Keywords: Inpainting;Decoupled Probabilistic Modeling;Pixel Spread Model
Decision: Spotlight
Title: TabR: Tabular Deep Learning Meets Nearest Neighbors
Authors: Yury Gorishniy, Ivan Rubachev, Nikolay Kartashev, Daniil Shlenskii, Akim Kotelnikov, Artem Babenko
Conference: iclr 2024 (main track)
Keywords: tabular;tabular data;architecture;deep learning;neural networks
Decision: Poster
Title: A Branching Decoder for Set Generation
Authors: Zixian Huang, Gengyang Xiao, Yu Gu, Gong Cheng
Affiliations: The Ohio State University, Columbus, USA; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: iclr 2024 (main track)
Keywords: set generation;keyphrase generation
Decision: Poster
Title: Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
Authors: Sachin Kumar, Chan Young Park, Yulia Tsvetkov
Affiliations: Allen Institute for AI, Seattle, WA; University of Washington, Seattle, WA; Carnegie Mellon University, Pittsburgh, PA
Conference: iclr 2024 (main track)
Keywords: zero-shot classification;prompting;generative classification;label descriptions
Decision: Poster
Title: On the Provable Advantage of Unsupervised Pretraining
Authors: Jiawei Ge, Shange Tang, Jianqing Fan, Chi Jin
Affiliations: Department of Operations Research and Financial Engineering, Princeton University; Department of Electrical and Computer Engineering, Princeton University
Conference: iclr 2024 (main track)
Keywords: unsupervised pretraining; representation learning; sample complexity
Decision: Spotlight
Title: Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
Authors: Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang, Tianze Zhou, Tangjie Lv, Changjie Fan, Zhipeng Hu, Yi Wu, Yujing Hu, Chongjie Zhang
Affiliations: Washington University in St. Louis; Institute for Interdisciplinary Information Sciences, Tsinghua University, China; Fuxi AI Lab, NetEase, China
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Diversity in RL;Offline RL
Decision: Poster
Title: Faithful Vision-Language Interpretation via Concept Bottleneck Models
Authors: Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang
Affiliations: IRD - Institut de Recherche pour le Developpement, Montpellier, France; Provable Responsible AI and Data Analytics (PRADA) Lab, King Abdullah University of Science and Technology, Shandong University; Provable Responsible AI and Data Analytics (PRADA) Lab, King Abdullah University of Science and Technology
Conference: iclr 2024 (main track)
Keywords: Interpretability ML;Explainability ML;Concept Bottleneck Model
Decision: Poster