ICLR Papers

Endowing Visual Reprogramming with Adversarial Robustness

Shengjie Zhou, Xin Cheng, Haiyang Xu et al.

End-to-end Learning of Gaussian Mixture Priors for Diffusion Sampler

Denis Blessing, Xiaogang Jia, Gerhard Neumann

E(n) Equivariant Topological Neural Networks

Claudio Battiloro, Ege Karaismailoglu, Mauricio Tec et al.

Energy-based Backdoor Defense Against Federated Graph Learning

Guancheng Wan, Zitong Shi, Wenke Huang et al.

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis et al.

Energy-Weighted Flow Matching for Offline Reinforcement Learning

Shiyuan Zhang, Weitong Zhang, Quanquan Gu

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions

Jinyoung Choi, Junoh Kang, Bohyung Han

Enhance Multi-View Classification Through Multi-Scale Alignment and Expanded Boundary

Yuena Lin, Yiyuan Wang, Gengyu Lyu et al.

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Yongxin Guo, Xiaoying Tang, Tao Lin

Enhancing Cognition and Explainability of Multimodal Foundation Models with Self-Synthesized Data

Yucheng Shi, Quanzheng Li, Jin Sun et al.

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds

Shuangqi Li, Hieu Le, Jingyi Xu et al.

Enhancing Document Understanding with Group Position Embedding: A Novel Approach to Incorporate Layout Information

Yuke Zhu, Yue Zhang, Dongdong Liu et al.

Enhancing End-to-End Autonomous Driving with Latent World Model

Yingyan Li, Lue Fan, Jiawei He et al.

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu et al.

Enhancing Graph Of Thought: Enhancing Prompts with LLM Rationales and Dynamic Temperature Control

Sunguk Shin, Youngjoon Kim

Enhancing Language Model Agents using Diversity of Thoughts

Vijay Chandra Lingam, Behrooz Tehrani, sujay sanghavi et al.

Enhancing Learning with Label Differential Privacy by Vector Approximation

Puning Zhao, Jiafei Wu, Zhe Liu et al.

Enhancing Prediction Performance through Influence Measure

Shuguang Yu, Wenqian Xu, Xinyi Zhou et al.

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability

Enhancing Robust Fairness via Confusional Spectral Regularization

Gaojie Jin, Sihao Wu, Jiaxu Liu et al.

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems

Yunyang Li, Zaishuo Xia, Lin Huang et al.

Enhancing Uncertainty Estimation and Interpretability with Bayesian Non-negative Decision Layer

XINYUE HU, Zhibin Duan, Bo Chen et al.

Enhancing Vision-Language Model with Unmasked Token Alignment

Hongsheng Li, Jihao Liu, Boxiao Liu et al.

Enhancing Zeroth-order Fine-tuning for Language Models with Low-rank Structures

Yiming Chen, Yuan Zhang, Liyuan Cao et al.

Ensembles of Low-Rank Expert Adapters

Yinghao Li, Vianne Gao, Chao Zhang et al.

Ensembling Diffusion Models via Adaptive Feature Aggregation

Cong Wang, kuan tian, Yonghang Guan et al.

Entropy-based Activation Function Optimization: A Method on Searching Better Activation Functions

Haoyuan Sun, Zihao Wu, Bo Xia et al.

Episodic Memories Generation and Evaluation Benchmark for Large Language Models

Alexis Huet, Zied Houidi, Dario Rossi

Episodic Novelty Through Temporal Distance

Yuhua Jiang, Qihan Liu, Yiqin Yang et al.

Epistemic Monte Carlo Tree Search

Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan et al.

eQMARL: Entangled Quantum Multi-Agent Reinforcement Learning for Distributed Cooperation over Quantum Channels

Alexander DeRieux, Walid Saad

EqNIO: Subequivariant Neural Inertial Odometry

Royina Karegoudra Jayanth, Yinshuang Xu, Ziyun Wang et al.

Equivariant Denoisers Cannot Copy Graphs: Align Your Graph Diffusion Models

Najwa Laabid, Severi Rissanen, Markus Heinonen et al.

Equivariant Masked Position Prediction for Efficient Molecular Representation

Junyi An, Chao Qu, Yun-Fei Shi et al.

Equivariant Neural Functional Networks for Transformers

Viet-Hoang Tran, Thieu Vo, An Nguyen et al.

Equivariant Symmetry Breaking Sets

YuQing Xie, Tess Smidt

Erasing Concept Combination from Text-to-Image Diffusion Model

hongyi nie, Quanming Yao, Yang Liu et al.

Error-quantified Conformal Inference for Time Series

Junxi Wu, Dongjian Hu, Yajie Bao et al.

ESE: Espresso Sentence Embeddings

Xianming Li, Zongxi Li, Jing Li et al.

Estimating the Probabilities of Rare Outputs in Language Models

Gabriel Wu, Jacob Hilton

Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement

Stathis Megas, Daniel Chen, Krzysztof Polanski et al.

ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time

Yi Ding, Bolian Li, Ruqi Zhang

ET-SEED: EFFICIENT TRAJECTORY-LEVEL SE(3) EQUIVARIANT DIFFUSION POLICY

Chenrui Tie, Yue Chen, Ruihai Wu et al.

Euler Characteristic Tools for Topological Data Analysis

Olympio Hacquard, Vadim Lebovici

EvA: Erasing Spurious Correlations with Activations

Qiyuan He, Kai Xu, Angela Yao

EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow

Yufei Huang, Yunshu Liu, Lirong Wu et al.

E-Valuating Classifier Two-Sample Tests

Tim Bakker, Christian A. Naesseth, Patrick Forré et al.

Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study

Lili Zhao, Yang Wang, Qi Liu et al.

Evaluating Semantic Variation in Text-to-Image Synthesis: A Causal Perspective

Xiangru Zhu, Penglei Sun, Yaoxian Song et al.

Event-Driven Online Vertical Federated Learning

Ganyu Wang, Boyu Wang, Bin Gu et al.