ICLR 2024

2,260 papers

On Stationary Point Convergence of PPO-Clip

ruinan Jin, Shuai Li, Baoxiang Wang

Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression

Adam Block, Dylan J Foster, Akshay Krishnamurthy, Max Simchowitz, Cyril Zhang

Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning

Mustafa Shukor, Alexandre Rame, Corentin Dancette, Matthieu Cord

Video Decomposition Prior: Editing Videos Layer by Layer

Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang, Angtian Wang, Xiaoding Yuan

Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation

Wenxuan Zhang, Youssef Mohamed, Bernard Ghanem, Philip Torr, Adel Bibi

lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning

Shangmin Guo, Yi Ren, Stefano V Albrecht, Kenny Smith

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.

Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach

Improving Domain Generalization with Domain Relations

Huaxiu Yao, Xinyu Yang, Xinyi Pan, Shengchao Liu, Pang Wei Koh

Learning Multi-Agent Communication with Contrastive Learning

Yat Long Lo, Biswa Sengupta, Jakob Nicolaus Foerster, Michael Noukhovitch

Domain constraints improve risk prediction when outcome data is missing

Sidhika Balachandar, Nikhil Garg, Emma Pierson

Cameras as Rays: Pose Estimation via Ray Diffusion

Jason Y. Zhang, Amy Lin, Moneish Kumar, Tzu-Hsuan Yang, Deva Ramanan

Less is More: Fewer Interpretable Region via Submodular Subset Selection

Ruoyu Chen, Hua Zhang, Siyuan Liang, Jingzhi Li, Xiaochun Cao

On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models

Christian Horvat, Jean-pascal Pfister

PRIME: Prioritizing Interpretability in Failure Mode Extraction

Keivan Rezaei, Mehrdad Saberi, Mazda Moayeri, Soheil Feizi

Point2SSM: Learning Morphological Variations of Anatomies from Point Clouds

Jadie Adams, Shireen Elhabian

Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs

Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu

GraphPulse: Topological representations for temporal graph property prediction

Kiarash Shamsi, Farimah Poursafaei, Shenyang Huang, Bao Tran Gia Ngo, Baris Coskunuzer

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting

Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

Local Graph Clustering with Noisy Labels

Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

Incremental Randomized Smoothing Certification

Shubham Ugare, Tarun Suresh, Debangshu Banerjee, Gagandeep Singh, Sasa Misailovic

Denoising Diffusion Bridge Models

Linqi Zhou, Aaron Lou, Samar Khanna, Stefano Ermon

Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding

Zilong Wang, Hao Zhang, Chun-Liang Li, Julian Martin Eisenschlos, Vincent Perot

What does the Knowledge Neuron Thesis Have to do with Knowledge?

Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn

Revisiting Link Prediction: a data perspective

Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan

Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos

Fengrui Tian, Yueqi Duan, Angtian Wang, Jianfei Guo, Shaoyi Du

The Generative AI Paradox: “What It Can Create, It May Not Understand”

Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting

Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu

Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL

Xiangyu Liu, Souradip Chakraborty, Yanchao Sun, Furong Huang

Jointly Training Large Autoregressive Multimodal Models

Emanuele Aiello, LILI YU, Yixin Nie, Armen Aghajanyan, Barlas Oguz

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning

Qin Zhang, Linghan Xu, Jun Fang, Qingming Tang, Ying Nian Wu

Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data

YongKyung Oh, Dongyoung Lim, Sungil Kim

Stable Anisotropic Regularization

William Rudman, Carsten Eickhoff

Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization

Elan Rosenfeld, Andrej Risteski

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient Inference in Large-Scale Generative Language Models

Gunho Park, Baeseong Park, Minsub Kim, Sungjae Lee, Jeonghoon Kim

Tree Cross Attention

Leo Feng, Frederick Tung, Hossein Hajimirsadeghi, Yoshua Bengio, Mohamed Osama Ahmed

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time

Qiuhao Zeng, Changjian Shui, Long-Kai Huang, Peng Liu, Xi Chen

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

Peng Chen, Yingying Zhang, Yunyao Cheng, Yang Shu, Yihang Wang

PTaRL: Prototype-based Tabular Representation Learning via Space Calibration

Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao

Unified Human-Scene Interaction via Prompted Chain-of-Contacts

Zeqi Xiao, Tai WANG, Jingbo Wang, Jinkun Cao, Wenwei Zhang

The importance of feature preprocessing for differentially private linear optimization

Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon

Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation

Kai Huang, Hanyun Yin, Heng Huang, Wei Gao

MiniLLM: Knowledge Distillation of Large Language Models

Yuxian Gu, Li Dong, Furu Wei, Minlie Huang

A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation

Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang

LEMON: Lossless model expansion

Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu

Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection

Jiawei Liang, Siyuan Liang, Aishan Liu, Xiaojun Jia, Junhao Kuang

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma

Adapting Large Language Models via Reading Comprehension

Daixuan Cheng, Shaohan Huang, Furu Wei

UC-NERF: Neural Radiance Field for Under-Calibrated Multi-View Cameras in Autonomous Driving

Kai Cheng, Xiaoxiao Long, Wei Yin, Jin Wang, Zhiqiang Wu

ImagenHub: Standardizing the evaluation of conditional image generation models

Max Ku, Tianle Li, Kai Zhang, Yujie Lu, Xingyu Fu

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models

Huaixiu Steven Zheng, Swaroop Mishra, Xinyun Chen, Heng-Tze Cheng, Ed H. Chi

FreeReg: Image-to-Point Cloud Registration Leveraging Pretrained Diffusion Models and Monocular Depth Estimators

Haiping Wang, Yuan Liu, Bing Wang, Yujing Sun, Zhen Dong

FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent

Ziyao Wang, Jianyu Wang, Ang Li

On the Analysis of GAN-based Image-to-Image Translation with Gaussian Noise Injection

Chaohua Shi, Kexin Huang, Lu Gan, Hongqing Liu, Mingrui Zhu

Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Fred Zhang, Neel Nanda

The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Bill Yuchen Lin, Abhilasha Ravichander, Ximing Lu, Nouha Dziri, Melanie Sclar

Progressive3D: Progressively Local Editing for Text-to-3D Content Creation with Complex Semantic Prompts

Xinhua Cheng, Tianyu Yang, Jianan Wang, Yu Li, Lei Zhang

LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents

Jae-Woo Choi, Youngwoo Yoon, Hyobin Ong, Jaehong Kim, Minsu Jang

Long-Term Typhoon Trajectory Prediction: A Physics-Conditioned Approach Without Reanalysis Data

Young-Jae Park, Minseok Seo, Doyi Kim, Hyeri Kim, Sanghoon Choi

PoSE: Efficient Context Window Extension of LLMs via Positional Skip-wise Training

Dawei Zhu, Nan Yang, Liang Wang, Yifan Song, Wenhao Wu

Integrating Planning and Deep Reinforcement Learning via Automatic Induction of Task Substructures

Jung-Chun Liu, Chi-Hsien Chang, Shao-Hua Sun, Tian-Li Yu

Personalize Segment Anything Model with One Shot

Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan

Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features

Xiong Xu, Kunzhe Huang, Yiming Li, Zhan Qin, Kui Ren

TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning

Dongming Wu, Jiahao Chang, Fan Jia, Yingfei Liu, Tiancai Wang

FLD: Fourier Latent Dynamics for Structured Motion Representation and Learning

Chenhao Li, Elijah Stanger-Jones, Steve Heim, Sangbae Kim

Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity

Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou

Label-Focused Inductive Bias over Latent Object Features in Visual Classification

Ilmin Kang, HyounYoung Bae, kangil kim

Noise Map Guidance: Inversion with Spatial Context for Real Image Editing

Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong

Neural Fine-Tuning Search for Few-Shot Learning

Panagiotis Eustratiadis, Łukasz Dudziak, Da Li, Timothy Hospedales

iGraphMix: Input Graph Mixup Method for Node Classification

Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon, Beomyoung Lee, Junhee Heo

Imitation Learning from Observation with Automatic Discount Scheduling

Yuyang Liu, Weijun Dong, Yingdong Hu, Chuan Wen, Zhao-Heng Yin

Periodicity Decoupling Framework for Long-term Series Forecasting

Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao

LLM-grounded Video Diffusion Models

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao, Huajian Xin

Domain-Agnostic Molecular Generation with Chemical Feedback

Yin Fang, Ningyu Zhang, Zhuo Chen, Lingbing Guo, Xiaohui Fan

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

Shashanka Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira, Yuki M Asano, Yannis Avrithis

Protein Multimer Structure Prediction via Prompt Learning

Ziqi Gao, Xiangguo Sun, Zijing Liu, Yu Li, Hong Cheng

Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction

Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, Hao Chen

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Michael Baldridge

Self-Supervised Heterogeneous Graph Learning: a Homophily and Heterogeneity View

Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph

Jiashuo Sun, Chengjin Xu, Lumingyuan Tang, Saizhuo Wang, CHEN LIN

Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models

Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang

Demystifying Local & Global Fairness Trade-offs in Federated Learning Using Partial Information Decomposition

Faisal Hamman, Sanghamitra Dutta

SparseFormer: Sparse Visual Recognition via Limited Latent Tokens

Ziteng Gao, Zhan Tong, Limin Wang, Mike Zheng Shou

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Junyoung Seo, Wooseok Jang, Min-Seop Kwak, Hyeonsu Kim, Jaehoon Ko

LLaMA-Adapter: Efficient Fine-tuning of Large Language Models with Zero-initialized Attention

Renrui Zhang, Jiaming Han, Chris Liu, Aojun Zhou, Pan Lu

Input-gradient space particle inference for neural network ensembles

Trung Trinh, Markus Heinonen, Luigi Acerbi, Samuel Kaski

AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models

Jiachun Pan, Jun Hao Liew, Vincent Tan, Jiashi Feng, Hanshu Yan

M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering

Jiaxin Lu, Zetian Jiang, Tianzhe Wang, Junchi Yan

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory

Yiting Chen, Zhanpeng Zhou, Junchi Yan

Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning

Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou

Mean Field Theory in Deep Metric Learning

Takuya Furusawa

Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty Regularization

Yiyang Chen, Zhedong Zheng, Wei Ji, Leigang Qu, Tat-Seng Chua

Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Sunwoo Kim, Hyeonsu Kim, Hyoungwon Cho

MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

Zhilu Zhang, Haoyu Wang, Shuai Liu, Xiaotao Wang, Lei Lei

AdaMerging: Adaptive Model Merging for Multi-Task Learning

Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo

Multi-resolution HuBERT: Multi-resolution Speech Self-Supervised Learning with Masked Unit Prediction

Jiatong Shi, Hirofumi Inaguma, Xutai Ma, Ilia Kulikov, Anna Sun

New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions

Xinzhe Yuan, William de Vazelhes, Bin Gu, Huan Xiong

Human Motion Diffusion as a Generative Prior

Yoni Shafir, Guy Tevet, Roy Kapon, Amit Haim Bermano