ICLR 2024

2,260 papers

Zero-Shot Robustification of Zero-Shot Models

Dyah Adila, Changho Shin, Linrong Cai, Frederic Sala

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs

Sunwoo Kim, Shinhwan Kang, Fanchen Bu, Soo Yong Lee, Jaemin Yoo

Symbol as Points: Panoptic Symbol Spotting via Point-based Representation

Wenlong Liu, Tianyu Yang, Yuhan Wang, Qizhi Yu, Lei Zhang

Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting

Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang

EX-Graph: A Pioneering Dataset Bridging Ethereum and X

Qian Wang, Zhen Zhang, Zemin Liu, Shengliang Lu, Bingqiao Luo

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost

Yuan Gao, Weizhong Zhang, Wenhan Luo, Lin Ma, Jin-Gang Yu

What does automatic differentiation compute for neural networks?

Sejun Park, Sanghyuk Chun, Wonyeol Lee

Compositional Generative Inverse Design

Tailin Wu, Takashi Maruyama, Long Wei, Tao Zhang, Yilun Du

Simplifying Transformer Blocks

Bobby He, Thomas Hofmann

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

Yuxin Zhang, Lirui Zhao, Mingbao Lin, Sun Yunyun, Yiwu Yao

SEABO: A Simple Search-Based Method for Offline Imitation Learning

Jiafei Lyu, Xiaoteng Ma, Le Wan, Runze Liu, Xiu Li

Analyzing and Improving Optimal-Transport-based Adversarial Networks

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

HYPO: Hyperspherical Out-Of-Distribution Generalization

Haoyue Bai, Yifei Ming, Julian Katz-Samuels, Yixuan Li

Sentence-level Prompts Benefit Composed Image Retrieval

Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan

PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Junsong Chen, Jincheng Yu, Chongjian GE, Lewei Yao, Enze Xie

SaProt: Protein Language Modeling with Structure-aware Vocabulary

Jin Su, Chenchen Han, Yuyang Zhou, Junjie Shan, Xibin Zhou

LLM-Assisted Code Cleaning For Training Accurate Code Generators

Naman Jain, Tianjun Zhang, Wei-Lin Chiang, Joseph E. Gonzalez, Koushik Sen

Are Human-generated Demonstrations Necessary for In-context Learning?

Rui Li, Guoyin Wang, Jiwei Li

EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING

Siyu Ren, Zhiyong Wu, Kenny Q. Zhu

Matrix Manifold Neural Networks++

Xuan Son Nguyen, Shuo Yang, Aymeric Histace

Seer: Language Instructed Video Prediction with Latent Diffusion Models

Xianfan Gu, Chuan Wen, Weirui Ye, Jiaming Song, Yang Gao

Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How

Sebastian Pineda Arango, Fabio Ferreira, Arlind Kadra, Frank Hutter, Josif Grabocka

A Foundation Model for Error Correction Codes

Yoni Choukroun, Lior Wolf

Debiasing Algorithm through Model Adaptation

Tomasz Limisiewicz, David Mareček, Tomáš Musil

fairret: a Framework for Differentiable Fairness Regularization Terms

Maarten Buyl, MaryBeth Defrance, Tijl De Bie

Deep Reinforcement Learning for Modelling Protein Complexes

Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou

Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation

Jae-Hong Lee, Joon-Hyuk Chang

MINDE: Mutual Information Neural Diffusion Estimation

Giulio Franzese, Mustapha BOUNOUA, Pietro Michiardi

Boosting Graph Anomaly Detection with Adaptive Message Passing

Jingyan Chen, Guanghui Zhu, chunfeng yuan, Yihua Huang

KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval

Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran, Jerry Li, Mert Yuksekgonul

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang, Shoukai Xu, Hengjie Song

Rethinking Information-theoretic Generalization: Loss Entropy Induced PAC Bounds

Yuxin Dong, Tieliang Gong, Hong Chen, Shujian Yu, Chen Li

Few-shot Hybrid Domain Adaptation of Image Generator

Hengjia Li, Yang Liu, Linxuan Xia, Yuqi Lin, Wenxiao Wang

Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity

Hugo Cui, Florent Krzakala, Eric Vanden-Eijnden, Lenka Zdeborová

Understanding In-Context Learning from Repetitions

Jianhao Yan, Jin Xu, Chiyu Song, Chenming Wu, Yafu Li

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Aleksandar Petrov, Philip Torr, Adel Bibi

#InsTag: Instruction Tagging for Analyzing Supervised Fine-tuning of Large Language Models

Keming Lu, Hongyi Yuan, Zheng Yuan, Runji Lin, Junyang Lin

NfgTransformer: Equivariant Representation Learning for Normal-form Games

Siqi Liu, Luke Marris, Georgios Piliouras, Ian Gemp, Nicolas Heess

BatteryML: An Open-source Platform for Machine Learning on Battery Degradation

Han Zhang, Xiaofan Gui, Shun Zheng, Ziheng Lu, Yuqi Li

Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings

Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers

Yizhou Jiang, Kunlin Hu, Tianren Zhang, Haichuan Gao, Yuqian Liu

Optimal Sample Complexity for Average Reward Markov Decision Processes

Shengbo Wang, Jose Blanchet, Peter Glynn

Single Motion Diffusion

Sigal Raab, Inbal Leibovitch, Guy Tevet, Moab Arar, Amit Haim Bermano

A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction

Dongyang Liu, Meina Kan, Shiguang Shan, Xilin Chen

InstructScene: Instruction-Driven 3D Indoor Scene Synthesis with Semantic Graph Prior

Chenguo Lin, Yadong Mu

Long-tailed Diffusion Models with Oriented Calibration

Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao, Xiangfeng Wang, Mingyuan Zhou

Parallelizing non-linear sequential models over the sequence length

Yi Heng Lim, Qi Zhu, Joshua Selfridge, Muhammad Firmansyah Kasim

Task Planning for Visual Room Rearrangement under Partial Observability

Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick

CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis

Xiaoxiao Sun, Xingjian Leng, Zijian Wang, Yang Yang, Zi Huang

The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Weiyun Wang, Min Shi, Qingyun Li, Wenhai Wang, Zhenhang Huang

Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach

Aoqi Zuo, Yiqing Li, Susan Wei, Mingming Gong

FROSTER: Frozen CLIP is A Strong Teacher for Open-Vocabulary Action Recognition

Xiaohu Huang, Hao Zhou, Kun Yao, Kai Han

Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, Yaowei Wang

π2vec: Policy Representation with Successor Features

Gianluca Scarpellini, Ksenia Konyushkova, Claudio Fantacci, Thomas Paine, Yutian Chen

Out-of-Distribution Detection with Negative Prompts

Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han

In-context Exploration-Exploitation for Reinforcement Learning

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing

Song Xia, Yi Yu, Xudong Jiang, Henghui Ding

RetroBridge: Modeling Retrosynthesis with Markov Bridges

Ilia Igashov, Arne Schneuing, Marwin Segler, Michael M. Bronstein, Bruno Correia

SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation

Uiwon Hwang, Jonghyun Lee, Juhyeon Shin, Sungroh Yoon

Conformal Risk Control

Anastasios Nikolas Angelopoulos, Stephen Bates, Adam Fisch, Lihua Lei, Tal Schuster

Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning

Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie, Vaibhav Rajan

AffineQuant: Affine Transformation Quantization for Large Language Models

Yuexiao Ma, Huixia Li, Xiawu Zheng, Feng Ling, Xuefeng Xiao

DAFA: Distance-Aware Fair Adversarial Training

HyunGyu Lee, Saehyung Lee, Hyemi Jang, Junsung Park, Ho Bae

Transport meets Variational Inference: Controlled Monte Carlo Diffusions

Francisco Vargas, Shreyas Padhy, Denis Blessing, Nikolas Nüsken

Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM

Eliya Nachmani, Alon Levkovitch, Roy Hirsch, Julian Salazar, Chulayuth Asawaroengchai

Fast Equilibrium of SGD in Generic Situations

Zhiyuan Li, Yi Wang, Zhiren Wang

A Semantic Invariant Robust Watermark for Large Language Models

Aiwei Liu, Leyi Pan, Xuming Hu, Shiao Meng, Lijie Wen

Self-Supervised Contrastive Learning for Long-term Forecasting

Junwoo Park, DAEHOON GWAK, Jaegul Choo, Edward Choi

Separating common from salient patterns with Contrastive Representation Learning

Robin Louiset, Edouard Duchesnay, Antoine Grigis, Pietro Gori

Faithful Explanations of Black-box NLP Models Using LLM-generated Counterfactuals

Yair Ori Gat, Nitay Calderon, Amir Feder, Alexander Chapanin, Amit Sharma

DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization

Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang

Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models

Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon, Byeongwook Kim, Se Jung Kwon

Biased Temporal Convolution Graph Network for Time Series Forecasting with Missing Values

Xiaodan Chen, Xiucheng Li, Bo Liu, Zhijun Li

Most discriminative stimuli for functional cell type clustering

Max F Burg, Thomas Zenkel, Michaela Vystrčilová, Jonathan Oesterle, Larissa Höfling

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection

Eduardo Dadalto Camara Gomes, Marco Romanelli, Georg Pichler, Pablo Piantanida

Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models

Andrew William Engel, Zhichao Wang, Natalie Frank, Ioana Dumitriu, Sutanay Choudhury

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages

Wanru Zhao, Yihong Chen, Royson Lee, Xinchi Qiu, Yan Gao

The Devil is in the Object Boundary: Towards Annotation-free Instance Segmentation using Foundation Models

Cheng Shi, Sibei Yang

On the generalization capacity of neural networks during generic multimodal reasoning

Takuya Ito, Soham Dan, Mattia Rigotti, James Kozloski, Murray Campbell

Statistical Rejection Sampling Improves Preference Optimization

Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

Roi Benita, Michael Elad, Joseph Keshet

Discovering Failure Modes of Text-guided Diffusion Models via Adversarial Search

Qihao Liu, Adam Kortylewski, Yutong Bai, Song Bai, Alan Yuille

Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding

Noam Itzhak Levi, Alon Beck, Yohai Bar-Sinai

Detecting, Explaining, and Mitigating Memorization in Diffusion Models

Yuxin Wen, Yuchen Liu, Chen Chen, Lingjuan Lyu

Interpretable Meta-Learning of Physical Systems

Matthieu Blanke, marc lelarge

Finite Scalar Quantization: VQ-VAE Made Simple

Fabian Mentzer, David Minnen, Eirikur Agustsson, Michael Tschannen

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

SHIH-YING YEH, Yu-Guan Hsieh, Zhidong Gao, Bernard B W Yang, Giyeong Oh

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

WANG Jiaxu, Ziyi Zhang, Renjing Xu

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andres Almansa, Ulugbek Kamilov

Can Transformers Capture Spatial Relations between Objects?

Chuan Wen, Dinesh Jayaraman, Yang Gao

A Hierarchical Bayesian Model for Few-Shot Meta Learning

Minyoung Kim, Timothy Hospedales

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL

Xiyao Wang, Ruijie Zheng, Yanchao Sun, Ruonan Jia, Wichayaporn Wongkamjan

Provably Efficient CVaR RL in Low-rank MDPs

Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia

ADOPD: A Large-Scale Document Page Decomposition Dataset

Jiuxiang Gu, Xiangxi Shi, Jason Kuen, Lu Qi, Ruiyi Zhang

Adaptive Chameleon or Stubborn Sloth: Revealing the Behavior of Large Language Models in Knowledge Conflicts

jian xie, Kai Zhang, Jiangjie Chen, Renze Lou, Yu Su

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler

Zilinghan Li, Pranshu Chaturvedi, Shilan He, Han Chen, Gagandeep Singh

Automatic Functional Differentiation in JAX

Min Lin

B-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis

Zishun Yu, Yunzhe Tao, Liyu Chen, Tao Sun, Hongxia Yang

High-dimensional SGD aligns with emerging outlier eigenspaces

Gerard Ben Arous, Reza Gheissari, Jiaoyang Huang, Aukosh Jagannath

Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks

Jie Hu, Vishwaraj Doshi, Do Young Eun