ICLR Papers
6,124 papers found • Page 90 of 123
Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
Yili Wang, Kaixiong Zhou, Ninghao Liu et al.
Efficient Streaming Language Models with Attention Sinks
Guangxuan Xiao, Yuandong Tian, Beidi Chen et al.
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom et al.
Efficient Video Diffusion Models via Content-Frame Motion-Latent Decomposition
Sihyun Yu, Weili Nie, De-An Huang et al.
Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning
Simone Magistri, Tomaso Trinci, Albin Soutif--Cormerais et al.
Elucidating the design space of classifier-guided diffusion generation
Jiajun Ma, Tianyang Hu, Wenjia Wang et al.
Elucidating the Exposure Bias in Diffusion Models
Mang Ning, Mingxiao Li, Jianlin Su et al.
Embarrassingly Simple Dataset Distillation
Yunzhen Feng, Shanmukha Ramakrishna Vedantam, Julia Kempe
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Lingxuan Wu, Xiao Yang, Yinpeng Dong et al.
EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models
Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler et al.
Emergent Communication with Conversational Repair
Mitja Nikolaus
Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks
Sina Khajehabdollahi, Roxana Zeraati, Emmanouil Giannakakis et al.
EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
Jiawei Yang, Boris Ivanovic, Or Litany et al.
EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING
Siyu Ren, Zhiyong Wu, Kenny Zhu
Empirical Analysis of Model Selection for Heterogeneous Causal Effect Estimation
Divyat Mahajan, Ioannis Mitliagkas, Brady Neal et al.
Empirical Likelihood for Fair Classification
Pangpang Liu, Yichuan Zhao
Emu: Generative Pretraining in Multimodality
Quan Sun, Qiying Yu, Yufeng Cui et al.
Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
Shengjie Luo, Tianlang Chen, Aditi Krishnapriyan
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu et al.
Encoding Unitig-level Assembly Graphs with Heterophilous Constraints for Metagenomic Contigs Binning
Hansheng Xue, Vijini Mallawaarachchi, Lexing Xie et al.
End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon
Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii et al.
Energy-based Automated Model Evaluation
Ru Peng, Heming Zou, Haobo Wang et al.
Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
Xinyue Xu, Yi Qin, Lu Mi et al.
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials
Ivan Grega, Ilyes Batatia, Gábor Csányi et al.
Energy-guided Entropic Neural Optimal Transport
Petr Mokrov, Alexander Korotin, Alexander Kolesov et al.
Enhanced Face Recognition using Intra-class Incoherence Constraint
Yuanqing Huang, Yinggui Wang, Le Yang et al.
Enhancing Contrastive Learning for Ordinal Regression via Ordinal Content Preserved Data Augmentation
Jiyang Zheng, Yu Yao, Bo Han et al.
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami et al.
Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping
Zijie Pan, Jiachen Lu, Xiatian Zhu et al.
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
Chengzhi Cao, Yinghao Fu, Sheng Xu et al.
Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain
Yiming Gao, Feiyu Liu, Liang Wang et al.
Enhancing Instance-Level Image Classification with Set-Level Labels
Renyu Zhang, Aly Khan, Yuxin Chen et al.
Enhancing Neural Subset Selection: Integrating Background Information into Set Representations
Binghui Xie, Yatao Bian, Kaiwen Zhou et al.
Enhancing Neural Training via a Correlated Dynamics Model
Jonathan Brokman, Roy Betser, Rotem Turjeman et al.
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Rong Dai, Yonggang Zhang, Ang Li et al.
Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
xinlu zhang, Shiyang Li, Xianjun Yang et al.
Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Anirudh Buvanesh, Rahul Chand, Jatin Prakash et al.
Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Zhiyu Zhu, Xinyi Wang, Zhibo Jin et al.
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong et al.
Ensemble Distillation for Unsupervised Constituency Parsing
Behzad Shayegh, Yanshuai Cao, Xiaodan Zhu et al.
Entity-Centric Reinforcement Learning for Object Manipulation from Pixels
Dan Haramati, Tal Daniel, Aviv Tamar
Entropy Coding of Unordered Data Structures
Julius Kunze, Daniel Severo, giulio zani et al.
Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
Jonghyun Lee, Dahuin Jung, Saehyung Lee et al.
Entropy-MCMC: Sampling from Flat Basins with Ease
Bolian Li, Ruqi Zhang
Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep learning
Yingtao Zhang, Jialin Zhao, Wenjing Wu et al.
EQA-MX: Embodied Question Answering using Multimodal Expression
Md Mofijul Islam, Alexi Gladstone, Riashat Islam et al.
EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Yi-Lun Liao, Brandon Wood, Abhishek Das et al.
Equivariant Matrix Function Neural Networks
Ilyes Batatia, Lars Leon Schaaf, Gábor Csányi et al.
Equivariant Scalar Fields for Molecular Docking with Fast Fourier Transforms
Bowen Jing, Tommi Jaakkola, Bonnie Berger
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko