ICLR 2024

2,260 papers

Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou, Yan Ju, Jialing Cai

I-PHYRE: Interactive Physical Reasoning

Shiqian Li, Kewen Wu, Chi Zhang, Yixin Zhu

To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination

Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley

MuSc: Zero-Shot Industrial Anomaly Classification and Segmentation with Mutual Scoring of the Unlabeled Images

Xurui Li, Ziming Huang, Feng Xue, Yu Zhou

Langevin Monte Carlo for strongly log-concave distributions: Randomized midpoint revisited

Lu Yu, Avetik Karagulyan, Arnak S. Dalalyan

Rethinking Model Ensemble in Transfer-based Adversarial Attacks

Huanran Chen, Yichi Zhang, Yinpeng Dong, Xiao Yang, Hang Su

Recursive Generalization Transformer for Image Super-Resolution

Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang

Early Stopping Against Label Noise Without Validation Data

Suqin Yuan, Lei Feng, Tongliang Liu

Multi-granularity Correspondence Learning from Long-term Noisy Videos

Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen

Towards Offline Opponent Modeling with In-context Learning

Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu

Divide and not forget: Ensemble of selectively trained experts in Continual Learning

Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Michał Zieliński

Language Model Self-improvement by Reinforcement Learning Contemplation

Jing-Cheng Pang, Pengyuan Wang, Kaiyuan Li, Xiong-Hui Chen, Jiacheng Xu

3D-Aware Hypothesis & Verification for Generalizable Relative Object Pose Estimation

Chen Zhao, Tong Zhang, Mathieu Salzmann

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Models

Jing Liu, Ruihao Gong, Xiuying Wei, Zhiwei Dong, Jianfei Cai

Threaten Spiking Neural Networks through Combining Rate and Temporal Information

Zecheng Hao, Tong Bu, Xinyu Shi, Zihan Huang, Zhaofei Yu

A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors

Olivier Laurent, Emanuel Aldea, Gianni Franchi

Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis

Zhenhui Ye, Tianyun Zhong, Yi Ren, Jiaqi Yang, Weichuang Li

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye

A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model

Zecheng Hao, Xinyu Shi, Zihan Huang, Tong Bu, Zhaofei Yu

SAS: Structured Activation Sparsification

Yusuke Sekikawa, Shingo Yashima

Large-Vocabulary 3D Diffusion Model with Transformer

Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu

Neural Processing of Tri-Plane Hybrid Neural Fields

Adriano Cardace, Pierluigi Zama Ramirez, Francesco Ballerini, Allan Zhou, Samuele Salti

CrIBo: Self-Supervised Learning via Cross-Image Object-Level Bootstrapping

Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars

TUVF: Learning Generalizable Texture UV Radiance Fields

An-Chieh Cheng, Xueting Li, Sifei Liu, Xiaolong Wang

Compressed Context Memory for Online Language Model Interaction

Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song

FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity

Kai Yi, Nidham Gazagnadou, Peter Richtarik, Lingjuan Lyu

Multi-Scale Representations by Varying Window Attention for Semantic Segmentation

Haotian Yan, Ming Wu, Chuang Zhang

Robust Angular Synchronization via Directed Graph Neural Networks

Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu

Boosting Vanilla Lightweight Vision Transformers via Re-parameterization

Zhentao Tan, Xiaodan Li, Yue Wu, Qi Chu, Le Lu

MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection

Yuxue Yang, Lue Fan, Zhaoxiang Zhang

Pareto Deep Long-Tailed Recognition: A Conflict-Averse Solution

Zhipeng Zhou, Liu Liu, Peilin Zhao, Wei Gong

Constraint-Free Structure Learning with Smooth Acyclic Orientations

Riccardo Massidda, Francesco Landolfi, Martina Cinquini, Davide Bacciu

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran, Behzad Bozorgtabar

GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation

Kai Chen, Enze Xie, Zhe Chen, Yibo Wang, Lanqing Hong

MogaNet: Multi-order Gated Aggregation Network

Siyuan Li, Zedong Wang, Zicheng Liu, Cheng Tan, Haitao Lin

MagicDrive: Street View Generation with Diverse 3D Geometry Control

Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis

Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong

Online Stabilization of Spiking Neural Networks

Yaoyu Zhu, Jianhao Ding, Tiejun Huang, Xiaodong Xie, Zhaofei Yu

Towards Energy Efficient Spiking Neural Networks: An Unstructured Pruning Framework

Xinyu Shi, Jianhao Ding, Zecheng Hao, Zhaofei Yu

Koopman-based generalization bound: New aspect for full-rank weights

Yuka Hashimoto, Sho Sonoda, Isao Ishikawa, Atsushi Nitanda, Taiji Suzuki

Exploring Target Representations for Masked Autoencoders

xingbin liu, Jinghao Zhou, Tao Kong, Xianming Lin, Rongrong Ji

CLAP: Collaborative Adaptation for Patchwork Learning

Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang

Path Choice Matters for Clear Attributions in Path Methods

Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu

REValueD: Regularised Ensemble Value-Decomposition for Factorisable Markov Decision Processes

David Ireland, Giovanni Montana

Geometry-Aware Projective Mapping for Unbounded Neural Radiance Fields

Junoh Lee, Hyunjun Jung, Jin-Hwi Park, Inhwan Bae, Hae-Gon Jeon

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Renbo Tu, Colin White, Jean Kossaifi, Boris Bonev, Gennady Pekhimenko

Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions

Juncheng Li, Kaihang Pan, Zhiqi Ge, Minghe Gao, Wei Ji

OmniControl: Control Any Joint at Any Time for Human Motion Generation

Yiming Xie, Varun Jampani, Lei Zhong, Deqing Sun, Huaizu Jiang

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Aryaman Reddi, Maximilian Tölle, Jan Peters, Georgia Chalvatzaki, Carlo D'Eramo

SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Ning Miao, Yee Whye Teh, Tom Rainforth

Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation

Jiyang Zheng, Yu Yao, Bo Han, Dadong Wang, Tongliang Liu

Large Language Models Are Not Robust Multiple Choice Selectors

Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

Mask-Based Modeling for Neural Radiance Fields

Ganlin Yang, Guoqiang Wei, Zhizheng Zhang, Yan Lu, Dong Liu

Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data

Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie

Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs

Xiong Zhou, Xianming Liu, Feilong Zhang, Gang Wu, Deming Zhai

SEA: Sparse Linear Attention with Estimated Attention Mask

Heejun Lee, Jina Kim, Jeffrey Willette, Sung Ju Hwang

SYMBOL: Generating Flexible Black-Box Optimizers through Symbolic Equation Learning

Jiacheng Chen, Zeyuan Ma, Hongshu Guo, Yining Ma, Jie Zhang

Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

Ziyao Guo, Kai Wang, George Cazenavette, Hui Li, Kaipeng Zhang

InfoBatch: Lossless Training Speed Up by Unbiased Dynamic Data Pruning

Ziheng Qin, Kai Wang, Zangwei Zheng, Jianyang Gu, Xiangyu Peng

VDC: Versatile Data Cleanser based on Visual-Linguistic Inconsistency by Multimodal Large Language Models

Zihao Zhu, Mingda Zhang, Shaokui Wei, Bingzhe Wu, Baoyuan Wu

GTA: A Geometry-Aware Attention Mechanism for Multi-View Transformers

Takeru Miyato, Bernhard Jaeger, Max Welling, Andreas Geiger

GRANDE: Gradient-Based Decision Tree Ensembles for Tabular Data

Sascha Marton, Stefan Lüdtke, Christian Bartelt, Heiner Stuckenschmidt

Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures

Ganchao Wei

ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving

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

DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation

Bowen Yin, Xuying Zhang, Zhong-Yu Li, Li Liu, Ming-Ming Cheng

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer

Xingyu Liu, Deepak Pathak, Ding Zhao

Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space

Yufei Gu, Xiaoqing Zheng, Tomaso Aste

Chengming Hu, Haolun Wu, Xuan Li, Chen Ma, Xi Chen

Unprocessing Seven Years of Algorithmic Fairness

André Cruz, Moritz Hardt

Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models

Senmao Li, Joost van de Weijer, Taihang Hu, Fahad Khan, Qibin Hou

GeneOH Diffusion: Towards Generalizable Hand-Object Interaction Denoising via Denoising Diffusion

Xueyi Liu, Li Yi

BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity

Andrew Luo, Margaret Marie Henderson, Michael J. Tarr, Leila Wehbe

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips

Man Yao, JiaKui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

Tianyu Li, Peijin Jia, Bangjun Wang, Li Chen, Kun Jiang

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Weiyang Liu, Zeju Qiu, Yao Feng, Yuliang Xiu, Yuxuan Xue

Localizing and Editing Knowledge In Text-to-Image Generative Models

Samyadeep Basu, Nanxuan Zhao, Vlad I Morariu, Soheil Feizi, Varun Manjunatha

Online Continual Learning for Interactive Instruction Following Agents

Byeonghwi Kim, Minhyuk Seo, Jonghyun Choi

Language-Informed Visual Concept Learning

Sharon Lee, Yunzhi Zhang, Shangzhe Wu, Jiajun Wu

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

Zeyu Yang, Hongye Yang, Zijie Pan, Li Zhang

Consistency-guided Prompt Learning for Vision-Language Models

Shuvendu Roy, Ali Etemad

Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

Chunming He, Kai Li, Yachao Zhang, Yulun Zhang, Chenyu You

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon

Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii, Philippe Weinzaepfel, Christian Wolf

CausalLM is not optimal for in-context learning

Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut

DreamClean: Restoring Clean Image Using Deep Diffusion Prior

Jie Xiao, Ruili Feng, Han Zhang, Zhiheng Liu, Zhantao Yang

Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency

Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets

Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Uday Prabhu

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Shaofei Cai, Bowei Zhang, Zihao Wang, Xiaojian Ma, Anji Liu

Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping

Zijie Pan, Jiachen Lu, Xiatian Zhu, Li Zhang

SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models

Xin Zhang, Dong Zhang, Shimin Li, Yaqian Zhou, Xipeng Qiu

Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations

Xinyue Xu, Yi Qin, Lu Mi, Hao Wang, Xiaomeng Li

Space and time continuous physics simulation from partial observations

Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf

R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation

Jiayu Xiao, Henglei Lv, Liang Li, Shuhui Wang, Qingming Huang

ZeroFlow: Scalable Scene Flow via Distillation

Kyle Vedder, Neehar Peri, Nathaniel Eliot Chodosh, Ishan Khatri, Eric Eaton

HyperHuman: Hyper-Realistic Human Generation with Latent Structural Diffusion

Xian Liu, Jian Ren, Aliaksandr Siarohin, Ivan Skorokhodov, Yanyu Li

Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks

Federico Errica, Mathias Niepert

ContextRef: Evaluating Referenceless Metrics for Image Description Generation

Elisa Kreiss, Eric Zelikman, Christopher Potts, Nick Haber

Large Language Models as Optimizers

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V Le

BatchPrompt: Accomplish more with less

Jianzhe Lin, Maurice Diesendruck, Liang Du, Robin Abraham

Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency

Stone Tao, Arth Shukla, Tse-kai Chan, Hao Su