ICLR 2024

2,260 papers

SILO Language Models: Isolating Legal Risk In a Nonparametric Datastore

Sewon Min, Suchin Gururangan, Eric Wallace, Weijia Shi, Hannaneh Hajishirzi

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement

Zhangyang Gao, Cheng Tan, Xingran Chen, Yijie Zhang, Jun Xia

RETSim: Resilient and Efficient Text Similarity

Marina Zhang, Owen Skipper Vallis, Aysegul Bumin, Tanay Vakharia, Elie Bursztein

ControlVideo: Training-free Controllable Text-to-video Generation

Yabo Zhang, Yuxiang Wei, Dongsheng Jiang, XIAOPENG ZHANG, Wangmeng Zuo

SALMON: Self-Alignment with Instructable Reward Models

Zhiqing Sun, Yikang Shen, Hongxin Zhang, Qinhong Zhou, Zhenfang Chen

More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory

James B Simon, Dhruva Karkada, Nikhil Ghosh, Mikhail Belkin

Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models

Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi

COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery

Anne Harrington, Vasha DuTell, Mark Hamilton, Ayush Tewari, Simon Stent

Towards Foundation Models for Knowledge Graph Reasoning

Mikhail Galkin, Xinyu Yuan, Hesham Mostafa, Jian Tang, Zhaocheng Zhu

Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses

Chuanqing Wang, Di Wu, Chaoming Fang, jie Yang, Mohamad Sawan

Adaptive Self-training Framework for Fine-grained Scene Graph Generation

Kibum Kim, Kanghoon Yoon, Yeonjun In, Jinyoung Moon, Donghyun Kim

Masked Distillation Advances Self-Supervised Transformer Architecture Search

Caixia Yan, Xiaojun Chang, Zhihui Li, Lina Yao, Minnan Luo

Privacy-Preserving In-Context Learning for Large Language Models

Tong Wu, Ashwinee Panda, Jiachen T. Wang, Prateek Mittal

Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video

Xiangming Zhu, Huayu Deng, Haochen Yuan, Yunbo Wang, Xiaokang Yang

Neural Common Neighbor with Completion for Link Prediction

Xiyuan Wang, Haotong Yang, Muhan Zhang

Manifold Preserving Guided Diffusion

Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka

Graph Generation with K^2-trees

Yunhui Jang, Dongwoo Kim, Sungsoo Ahn

Zero and Few-shot Semantic Parsing with Ambiguous Inputs

Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme

Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks

Sung Moon Ko, Sumin Lee, Dae-Woong Jeong, Woohyung Lim, Sehui Han

Sample-Efficient Quality-Diversity by Cooperative Coevolution

Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang

Large Language Models as Tool Makers

Tianle Cai, Xuezhi Wang, Tengyu Ma, Xinyun Chen, Denny Zhou

Memory-Assisted Sub-Prototype Mining for Universal Domain Adaptation

Yuxiang Lai, Yi Zhou, Xinghong Liu, Tao Zhou

RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design

Cheng Tan, Yijie Zhang, Zhangyang Gao, Bozhen Hu, Siyuan Li

H2O-SDF: Two-phase Learning for 3D Indoor Reconstruction using Object Surface Fields

Minyoung Park, Mirae Do, Yeon Jae Shin, Jaeseok Yoo, Jongkwang Hong

Embarrassingly Simple Dataset Distillation

Yunzhen Feng, Shanmukha Ramakrishna Vedantam, Julia Kempe

Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees

Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction

Jiangmeng Li, Fei Song, Yifan Jin, Wenwen Qiang, Changwen Zheng

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang

Don't Judge by the Look: Towards Motion Coherent Video Representation

Yitian Zhang, Yue Bai, Huan Wang, Yizhou Wang, Yun Fu

Annealing Self-Distillation Rectification Improves Adversarial Training

Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen

UniAdapter: Unified Parameter-Efficient Transfer Learning for Cross-modal Modeling

Haoyu Lu, Yuqi Huo, Guoxing Yang, Zhiwu Lu, Wei Zhan

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

Yuchen Hu, Chen Chen, Chao-Han Huck Yang, Ruizhe Li, Chao Zhang

Multi-modal Gaussian Process Variational Autoencoders for Neural and Behavioral Data

Rabia Gondur, Usama Bin Sikandar, Evan Schaffer, Mikio Christian Aoi, Stephen L Keeley

Large Language Models as Analogical Reasoners

Michihiro Yasunaga, Xinyun Chen, Yujia Li, Panupong Pasupat, Jure Leskovec

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies

Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee, Yung-kyun Noh, Kee-eung Kim

A Study of Bayesian Neural Network Surrogates for Bayesian Optimization

Yucen Lily Li, Tim G. J. Rudner, Andrew Gordon Wilson

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang, Han Yang, Xinran Wei

Exploring the cloud of feature interaction scores in a Rashomon set

Sichao Li, Rong Wang, Quanling Deng, Amanda S Barnard

L2P-MIP: Learning to Presolve for Mixed Integer Programming

Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

ZUXIN LIU, Jesse Zhang, Kavosh Asadi, Yao Liu, Ding Zhao

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks

Shida Wang, Zhong Li, Qianxiao Li

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction

Yichen WU, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

FedWon: Triumphing Multi-domain Federated Learning Without Normalization

Weiming Zhuang, Lingjuan Lyu

MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design

Xiang Fu, Tian Xie, Andrew Scott Rosen, Tommi S. Jaakkola, Jake Allen Smith

Uncertainty Quantification via Stable Distribution Propagation

Felix Petersen, Aashwin Ananda Mishra, Hilde Kuehne, Christian Borgelt, Oliver Deussen

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation

Tserendorj Adiya, Jae Shin Yoon, JUNGEUN LEE, Sanghun Kim, Hwasup Lim

Meta-Learning Priors Using Unrolled Proximal Networks

Yilang Zhang, Georgios B. Giannakis

SpikePoint: An Efficient Point-based Spiking Neural Network for Event Cameras Action Recognition

Hongwei Ren, Yue Zhou, Xiaopeng Lin, Yulong Huang, Haotian Fu

Prompt Learning with Quaternion Networks

Boya Shi, Zhengqin Xu, Shuai Jia, Chao Ma

ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering

Ilya Shenbin, Sergey Nikolenko

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models

Lingbing Guo, Zhuo Chen, Jiaoyan Chen, Yin Fang, Wen Zhang

Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation

Jianliang He, Han Zhong, Zhuoran Yang

InfoCon: Concept Discovery with Generative and Discriminative Informativeness

Ruizhe Liu, Qian Luo, Yanchao Yang

Robot Fleet Learning via Policy Merging

Lirui Wang, Kaiqing Zhang, Allan Zhou, Max Simchowitz, Russ Tedrake

Teach LLMs to Phish: Stealing Private Information from Language Models

Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal

Elucidating the design space of classifier-guided diffusion generation

Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

Scaling Supervised Local Learning with Augmented Auxiliary Networks

Chenxiang Ma, Jibin Wu, Chenyang Si, KC Tan

Ins-DetCLIP: Aligning Detection Model to Follow Human-Language Instruction

Renjie Pi, Lewei Yao, Jianhua Han, Xiaodan Liang, Wei Zhang

A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models

Haoran Xu, Young Jin Kim, Amr Sharaf, Hany Hassan Awadalla

Consistent Multi-Class Classification from Multiple Unlabeled Datasets

Zixi Wei, Senlin Shu, Yuzhou Cao, Hongxin Wei, Bo An

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages

Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang

Unpaired Image-to-Image Translation via Neural Schrödinger Bridge

Beomsu Kim, Gihyun Kwon, Kwanyoung Kim, Jong Chul Ye

Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning

Murong Yue, Jie Zhao, Min Zhang, Liang Du, Ziyu Yao

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

On the Effect of Batch Size in Byzantine-Robust Distributed Learning

Yi-Rui Yang, Chang-Wei Shi, Wu-jun Li

Feature-aligned N-BEATS with Sinkhorn divergence

Joonhun Lee, Myeongho Jeon, Myungjoo Kang, Kyunghyun Park

Query-Policy Misalignment in Preference-Based Reinforcement Learning

Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang

Synergistic Patch Pruning for Vision Transformer: Unifying Intra- & Inter-Layer Patch Importance

Yuyao Zhang, Lan Wei, Nikolaos Freris

MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models

Longhui Yu, Weisen Jiang, Han Shi, Jincheng Yu, Zhengying Liu

From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction

Yanbang Wang, Jon Kleinberg

Neural Active Learning Beyond Bandits

Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam

Shadow Cones: A Generalized Framework for Partial Order Embeddings

Tao Yu, Toni J.b. Liu, Albert Tseng, Christopher De Sa

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors

Hang Yin, Zihao Wang, Yangqiu Song

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Mengzhou Xia, Tianyu Gao, Zhiyuan Zeng, Danqi Chen

SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning

Hongjun Wang, Sagar Vaze, Kai Han

FITS: Modeling Time Series with $10k$ Parameters

Zhijian Xu, Ailing Zeng, Qiang Xu

LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks

Jianlang Chen, Xuhong Ren, Qing Guo, Felix Juefei-Xu, Di Lin

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

Jing Xiong, Zixuan Li, Chuanyang Zheng, Zhijiang Guo, Yichun Yin

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Kuan Li, Yiwen Chen, Yang Liu, Jin Wang, Qing He

DistillSpec: Improving Speculative Decoding via Knowledge Distillation

Yongchao Zhou, Kaifeng Lyu, Ankit Singh Rawat, Aditya Krishna Menon, Afshin Rostamizadeh

Coeditor: Leveraging Repo-level Diffs for Code Auto-editing

Jiayi Wei, Greg Durrett, Isil Dillig

Towards Robust Multi-Modal Reasoning via Model Selection

Xiangyan Liu, Rongxue LI, Wei Ji, Tao LIN

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules

Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo

The Blessing of Randomness: SDE Beats ODE in General Diffusion-based Image Editing

Shen Nie, Hanzhong Allan Guo, Cheng Lu, Yuhao Zhou, Chenyu Zheng

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou

On the Parameterization of Second-Order Optimization Effective towards the Infinite Width

Satoki Ishikawa, Ryo Karakida

Neural Auto-designer for Enhanced Quantum Kernels

Cong Lei, Yuxuan Du, Peng Mi, Jun Yu, Tongliang Liu

One-hot Generalized Linear Model for Switching Brain State Discovery

Chengrui Li, Soon Ho Kim, Chris Rodgers, Hannah Choi, Anqi Wu

Doubly Robust Proximal Causal Learning for Continuous Treatments

Yong Wu, Yanwei Fu, Shouyan Wang, Xinwei Sun

AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model

Zibin Dong, Yifu Yuan, Jianye Hao, Fei Ni, Yao Mu

Active Test-Time Adaptation: Theoretical Analyses and An Algorithm

Shurui Gui, Xiner Li, Shuiwang Ji

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging

Shiqiang Wang, Mingyue Ji

Diffusion Sampling with Momentum for Mitigating Divergence Artifacts

Suttisak Wizadwongsa, Worameth Chinchuthakun, Pramook Khungurn, Amit Raj, Supasorn Suwajanakorn

Multiscale Positive-Unlabeled Detection of AI-Generated Texts

Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, Qinghua Zhang

Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Hongbin Huang, Minghua Chen, Xiao Qiao

Enhancing Group Fairness in Online Settings Using Oblique Decision Forests

Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey

Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder

Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Katja Schwarz, Seung Wook Kim, Jun Gao, Sanja Fidler, Andreas Geiger

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning

Moonseok Choi, Hyungi Lee, Giung Nam, Juho Lee