ICLR 2024

2,260 papers

ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation

Jiaming Liu, Senqiao Yang, Peidong Jia, Renrui Zhang, Ming Lu

PanoDiffusion: 360-degree Panorama Outpainting via Diffusion

Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Yung-Sung Chuang, Yujia Xie, Hongyin Luo, Yoon Kim, James R. Glass

Forward χ^2 Divergence Based Variational Importance Sampling

Chengrui Li, Yule Wang, Weihan Li, Anqi Wu

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Zhouchen Lin

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

Yiyang Zhou, Chenhang Cui, Jaehong Yoon, Linjun Zhang, Zhun Deng

LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models

Zecheng Tang, Chenfei Wu, Juntao Li, Nan Duan

Idempotence and Perceptual Image Compression

Tongda Xu, Ziran Zhu, Dailan He, Yanghao Li, Lina Guo

Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation

Manh Luong, Khai Nguyen, nhật Hồ, Gholamreza Haffari, Dinh Phung

Defining and extracting generalizable interaction primitives from DNNs

Lu Chen, Siyu Lou, Benhao Huang, Quanshi Zhang

Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature

Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, Linyi Yang, Yue Zhang

Scale-Adaptive Diffusion Model for Complex Sketch Synthesis

Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game

Simin Li, Jun Guo, Jingqiao Xiu, Ruixiao Xu, Xin Yu

Consistent Video-to-Video Transfer Using Synthetic Dataset

Jiaxin Cheng, Tianjun Xiao, Tong He

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation

Samuel Pegg, Kai Li, Xiaolin Hu

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products

Shengjie Luo, Tianlang Chen, Aditi S. Krishnapriyan

PromptTTS 2: Describing and Generating Voices with Text Prompt

Yichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju, Xu Tan

LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer

Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi

Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain

Quanrui Rao, Lin Wang, Wuying Liu

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification

Joar Max Viktor Skalse, Alessandro Abate

Local Search GFlowNets

Minsu Kim, Taeyoung Yun, Emmanuel Bengio, Dinghuai Zhang, Yoshua Bengio

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation

Yaoming Wang, Jin Li, XIAOPENG ZHANG, Bowen Shi, Chenglin Li

Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory

Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki

Learning to Embed Time Series Patches Independently

Seunghan Lee, Taeyoung Park, Kibok Lee

Xformer: Hybrid X-Shaped Transformer for Image Denoising

Jiale Zhang, Yulun Zhang, Jinjin Gu, Jiahua Dong, Linghe Kong

Entropy-MCMC: Sampling from Flat Basins with Ease

Bolian Li, Ruqi Zhang

Mind Your Augmentation: The Key to Decoupling Dense Self-Supervised Learning

Congpei Qiu, Tong Zhang, Yanhao Wu, Wei Ke, Mathieu Salzmann

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song

Implicit regularization of deep residual networks towards neural ODEs

Pierre Marion, Yu-Han Wu, Michael Eli Sander, Gérard Biau

GPAvatar: Generalizable and Precise Head Avatar from Image(s)

Xuangeng Chu, Yu Li, Ailing Zeng, Tianyu Yang, Lijian Lin

Variational Inference for SDEs Driven by Fractional Noise

Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal

ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift

Hwanwoo Kim, Xin Zhang, Jiwei Zhao, Qinglong Tian

Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning

Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li

Interpreting CLIP's Image Representation via Text-Based Decomposition

Yossi Gandelsman, Alexei A Efros, Jacob Steinhardt

BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs

Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala

Time Travel in LLMs: Tracing Data Contamination in Large Language Models

Shahriar Golchin, Mihai Surdeanu

Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL

Hao Sun, Alihan Hüyük, Mihaela van der Schaar

Self-Guided Masked Autoencoders for Domain-Agnostic Self-Supervised Learning

Johnathan Wenjia Xie, Yoonho Lee, Annie S Chen, Chelsea Finn

Adaptive Instrument Design for Indirect Experiments

Yash Chandak, Shiv Shankar, Vasilis Syrgkanis, Emma Brunskill

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models

Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu, Jaskirat Singh, Jing Zhang

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions

Jungtaek Kim, Jeongbeen Yoon, Minsu Cho

Context is Environment

Sharut Gupta, Stefanie Jegelka, David Lopez-paz, Kartik Ahuja

Neural Snowflakes: Universal Latent Graph Inference via Trainable Latent Geometries

Haitz Sáez de Ocáriz Borde, Anastasis Kratsios

Decodable and Sample Invariant Continuous Object Encoder

Dehao Yuan, Furong Huang, Cornelia Fermuller, Yiannis Aloimonos

Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning

Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka

Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models

Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones, Suriya Gunasekar, Ranjita Naik

A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data

Saptarshi Chakraborty, Peter Bartlett

Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning

Zican Hu, Zongzhang Zhang, Huaxiong Li, Chunlin Chen, Hongyu Ding

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks

Zhiyuan Zhao, Xueying Ding, B. Aditya Prakash

Learning with Mixture of Prototypes for Out-of-Distribution Detection

Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao

Enhancing Human-AI Collaboration Through Logic-Guided Reasoning

Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li

A Benchmark Study on Calibration

Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning

Xiang Yue, Xingwei Qu, Ge Zhang, Yao Fu, Wenhao Huang

Lipschitz Singularities in Diffusion Models

Zhantao Yang, Ruili Feng, Han Zhang, Yujun Shen, Kai Zhu

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

Yaxuan Zhu, Jianwen Xie, Ying Nian Wu, Ruiqi Gao

Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling

Aadirupa Saha, Branislav Kveton

SEAL: A Framework for Systematic Evaluation of Real-World Super-Resolution

Wenlong Zhang, Xiaohui Li, Xiangyu Chen, Xiaoyun Zhang, Yu Qiao

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

Shuhai Zhang, Yiliao Song, Jiahao Yang, Yuanqing Li, Bo Han

Momentum Benefits Non-iid Federated Learning Simply and Provably

Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan

Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning

Jiechao Guan, Hui Xiong

Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold

Jun Chen, Haishan Ye, Mengmeng Wang, Tianxin Huang, Guang Dai

Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors

Jonghyun Lee, Dahuin Jung, Saehyung Lee, Junsung Park, Juhyeon Shin

Class Incremental Learning via Likelihood Ratio Based Task Prediction

Haowei Lin, Yijia Shao, Weinan Qian, Ningxin Pan, Yiduo Guo

Enhanced Face Recognition using Intra-class Incoherence Constraint

Yuanqing Huang, Yinggui Wang, Le Yang, Lei Wang

Tag2Text: Guiding Vision-Language Model via Image Tagging

Xinyu Huang, Youcai Zhang, Jinyu Ma, Weiwei Tian, Rui Feng

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model

Zihan Zhong, Zhiqiang Tang, Tong He, Haoyang Fang, Chun Yuan

Conformal Prediction via Regression-as-Classification

Etash Kumar Guha, Shlok Natarajan, Thomas Möllenhoff, Mohammad Emtiyaz Khan, Eugene Ndiaye

Efficient Planning with Latent Diffusion

Wenhao Li

IceFormer: Accelerated Inference with Long-Sequence Transformers on CPUs

Yuzhen Mao, Martin Ester, Ke Li

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan

Pre-training with Synthetic Data Helps Offline Reinforcement Learning

Zecheng Wang, Che Wang, Zixuan Dong, Keith W. Ross

Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight

Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets

Yihuan Mao, Chengjie Wu, Xi Chen, Hao Hu, Ji Jiang

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao, Ivor Tsang, Yang Liu

VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

Tianyuan Zou, Zixuan GU, Yu He, Hideaki Takahashi, Yang Liu

Grounding Multimodal Large Language Models to the World

Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang

Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression

Yufeng Zhang, Hang Yu, Jianguo Li, Weiyao Lin

Facing the Elephant in the Room: Visual Prompt Tuning or Full finetuning?

Cheng Han, Qifan Wang, Yiming Cui, Wenguan Wang, Lifu Huang

SyncDreamer: Generating Multiview-consistent Images from a Single-view Image

Yuan Liu, Cheng Lin, Zijiao Zeng, Xiaoxiao Long, Lingjie Liu

Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners

Bowen Shi, XIAOPENG ZHANG, Yaoming Wang, Jin Li, Wenrui Dai

ZipIt! Merging Models from Different Tasks without Training

George Stoica, Daniel Bolya, Jakob Brandt Bjorner, Pratik Ramesh, Taylor Hearn

Continuous Invariance Learning

LIN Yong, Fan Zhou, Lu Tan, Lintao Ma, Jianmeng Liu

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches

Lingxuan Wu, Xiao Yang, Yinpeng Dong, Liuwei XIE, Hang Su

Window Attention is Bugged: How not to Interpolate Position Embeddings

Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading

Yochai Yemini, Aviv Shamsian, Lior Bracha, Sharon Gannot, Ethan Fetaya

Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection

Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao

Neural Field Classifiers via Target Encoding and Classification Loss

Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu

Universal Jailbreak Backdoors from Poisoned Human Feedback

Javier Rando, Florian Tramer

Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models

Yingtao Zhang, Haoli Bai, Haokun Lin, Jialin Zhao, Lu Hou

Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning

Yingtao Zhang, Jialin Zhao, Wenjing Wu, Alessandro Muscoloni, Carlo Vittorio Cannistraci

GIM: Learning Generalizable Image Matcher From Internet Videos

Xuelun Shen, zhipeng cai, Wei Yin, Matthias Müller, Zijun Li

On the Generalization and Approximation Capacities of Neural Controlled Differential Equations

Linus Bleistein, Agathe Guilloux

Contrastive Learning is Spectral Clustering on Similarity Graph

Zhiquan Tan, Yifan Zhang, Jingqin Yang, Yang Yuan

Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning

Yun-Hin Chan, Rui Zhou, Running Zhao, Zhihan Jiang, Edith C. H. Ngai

Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech

Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang

Towards the Fundamental Limits of Knowledge Transfer over Finite Domains

Qingyue Zhao, Banghua Zhu