Poster Papers

24,624 papers found • Page 89 of 493

Energy-based Backdoor Defense Against Federated Graph Learning

Guancheng Wan, Zitong Shi, Wenke Huang et al.

ICLR 2025
9
citations

Energy-Based Diffusion Language Models for Text Generation

Minkai Xu, Tomas Geffner, Karsten Kreis et al.

ICLR 2025arXiv:2410.21357
55
citations

Energy-Based Flow Matching for Generating 3D Molecular Structure

Wenyin Zhou, Christopher I Sprague, Vsevolod Viliuga et al.

ICML 2025arXiv:2508.18949
4
citations

Energy-based generator matching: A neural sampler for general state space

Dongyeop Woo, Minsu Kim, Minkyu Kim et al.

NEURIPS 2025arXiv:2505.19646
1
citations

Energy-Based Preference Model Offers Better Offline Alignment than the Bradley-Terry Preference Model

Yuzhong Hong, Hanshan Zhang, Junwei Bao et al.

ICML 2025arXiv:2412.13862
6
citations

Energy Landscape-Aware Vision Transformers: Layerwise Dynamics and Adaptive Task-Specific Training via Hopfield States

Runze Xia, Richard Jiang

NEURIPS 2025

Energy Loss Functions for Physical Systems

Oumar Kaba, Kusha Sareen, Daniel Levy et al.

NEURIPS 2025arXiv:2511.02087

Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling

Michal Balcerak, Tamaz Amiranashvili, Antonio Terpin et al.

NEURIPS 2025arXiv:2504.10612
12
citations

Energy-Weighted Flow Matching for Offline Reinforcement Learning

Shiyuan Zhang, Weitong Zhang, Quanquan Gu

ICLR 2025arXiv:2503.04975
29
citations

EnerVerse: Envisioning Embodied Future Space for Robotics Manipulation

Siyuan Huang, Liliang Chen, Pengfei Zhou et al.

NEURIPS 2025arXiv:2501.01895
39
citations

Enforcing convex constraints in Graph Neural Networks

Ahmed Rashwan, Keith Briggs, Chris Budd et al.

NEURIPS 2025arXiv:2510.11227

Enforcing Hard Linear Constraints in Deep Learning Models with Decision Rules

Gonzalo E. Constante, Hao Chen, Can Li

NEURIPS 2025arXiv:2505.13858
5
citations

Enforcing Idempotency in Neural Networks

Nikolaj Jensen, Jamie Vicary

ICML 2025
1
citations

Engage for All: Making Ordinary Image Descriptions Appealing Again!

Yuyan Chen, Yifan Jiang, Li Zhou et al.

ICCV 2025

EngiBench: A Framework for Data-Driven Engineering Design Research

Florian Felten, Gabriel Apaza, Gerhard Bräunlich et al.

NEURIPS 2025arXiv:2508.00831
2
citations

Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation

Kang Liu, Zhuoqi Ma, Xiaolu Kang et al.

CVPR 2025arXiv:2502.20056
23
citations

Enhanced Cyclic Coordinate Descent Methods for Elastic Net Penalized Linear Models

Yixiao Wang, Zishan Shao, Ting Jiang et al.

NEURIPS 2025arXiv:2510.19999

Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions

Jinyoung Choi, Junoh Kang, Bohyung Han

ICLR 2025arXiv:2504.01855
2
citations

Enhanced Event-based Dense Stereo via Cross-Sensor Knowledge Distillation

Haihao Zhang, Yunjian Zhang, Jianing Li et al.

ICCV 2025

Enhanced Expert Merging for Mixture-of-Experts in Graph Foundation Models

Lei Liu, Xingyu Xia, Qianqian Xie et al.

NEURIPS 2025

Enhanced OoD Detection through Cross-Modal Alignment of Multi-Modal Representations

Jeonghyeon Kim, Sangheum Hwang

CVPR 2025arXiv:2503.18817
4
citations

Enhanced Pansharpening via Quaternion Spatial-Spectral Interactions

Dong Li, Chunhui Luo, Yuanfei Bao et al.

ICCV 2025

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering

Zhibin Dong, Meng Liu, Siwei Wang et al.

CVPR 2025
4
citations

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

Yuena Lin, Yiyuan Wang, Gengyu Lyu et al.

ICLR 2025
2
citations

Enhancing 3D Gaze Estimation in the Wild using Weak Supervision with Gaze Following Labels

Pierre Vuillecard, Jean-marc Odobez

CVPR 2025arXiv:2502.20249
7
citations

Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability

Jie Bao, Chuangyin Dang, Rui Luo et al.

ICML 2025arXiv:2506.07804
7
citations

Enhancing Adversarial Transferability by Balancing Exploration and Exploitation with Gradient-Guided Sampling

Zenghao Niu, Weicheng Xie, Siyang Song et al.

ICCV 2025arXiv:2511.00411

Enhancing Adversarial Transferability with Checkpoints of a Single Model’s Training

Shixin Li, Chaoxiang He, Xiaojing Ma et al.

CVPR 2025
2
citations

Enhancing Bioactivity Prediction via Spatial Emptiness Representation of Protein-ligand Complex and Union of Multiple Pockets

Zhiyuan Zhou, Yueming Yin, Yiming Yang et al.

NEURIPS 2025

Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies

Yongxin Guo, Xiaoying Tang, Tao Lin

ICLR 2025arXiv:2310.05397
4
citations

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

Yucheng Shi, Quanzheng Li, Jin Sun et al.

ICLR 2025arXiv:2502.14044
8
citations

Enhancing Compositional Reasoning in CLIP via Reconstruction and Alignment of Text Descriptions

Jihoon Kwon, Kyle Min, Jy-yong Sohn

NEURIPS 2025arXiv:2510.16540

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

Shuangqi Li, Hieu Le, Jingyi Xu et al.

ICLR 2025

Enhancing Consistency of Flow-Based Image Editing through Kalman Control

Haozhe Chi, Zhicheng Sun, Yang Jin et al.

NEURIPS 2025

Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration

Andreas Kontogiannis, Konstantinos Papathanasiou, Yi Shen et al.

ICML 2025arXiv:2505.05262
1
citations

Enhancing Creative Generation on Stable Diffusion-based Models

Jiyeon Han, Dahee Kwon, Gayoung Lee et al.

CVPR 2025arXiv:2503.23538
8
citations

Enhancing Dance-to-Music Generation via Negative Conditioning Latent Diffusion Model

Changchang Sun, Gaowen Liu, Charles Fleming et al.

CVPR 2025arXiv:2503.22138
2
citations

Enhancing Dataset Distillation via Non-Critical Region Refinement

Minh-Tuan Tran, Trung Le, Xuan-May Le et al.

CVPR 2025arXiv:2503.18267
4
citations

Enhancing Decision-Making of Large Language Models via Actor-Critic

Heng Dong, Kefei Duan, Chongjie Zhang

ICML 2025arXiv:2506.06376
4
citations

Enhancing Deep Batch Active Learning for Regression with Imperfect Data Guided Selection

Yinjie Min, Furong Xu, Xinyao Li et al.

NEURIPS 2025

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment

Kaixun Jiang, Zhaoyu Chen, HaiJing Guo et al.

NEURIPS 2025arXiv:2506.01511

Enhancing Diversity for Data-free Quantization

Kai Zhao, zhihao zhuang, Miao Zhang et al.

CVPR 2025
3
citations

Enhancing Diversity In Parallel Agents: A Maximum State Entropy Exploration Story

Vincenzo De Paola, Riccardo Zamboni, Mirco Mutti et al.

ICML 2025arXiv:2505.01336
3
citations

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

Yuke Zhu, Yue Zhang, Dongdong Liu et al.

ICLR 2025
2
citations

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

Yingyan Li, Lue Fan, Jiawei He et al.

ICLR 2025arXiv:2406.08481
77
citations

Enhancing Facial Privacy Protection via Weakening Diffusion Purification

Ali Salar, Qing Liu, Yingli Tian et al.

CVPR 2025arXiv:2503.10350
5
citations

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

Jingyuan Zhang, Yiyang Duan, Shuaicheng Niu et al.

ICLR 2025arXiv:2410.07738
8
citations

Enhancing Few-Shot Class-Incremental Learning via Training-Free Bi-Level Modality Calibration

Yiyang Chen, Tianyu Ding, Lei Wang et al.

CVPR 2025

Enhancing Few-Shot Vision-Language Classification with Large Multimodal Model Features

Chancharik Mitra, Brandon Huang, Tianning Chai et al.

ICCV 2025arXiv:2412.00142
3
citations

Enhancing Foundation Models with Federated Domain Knowledge Infusion

Jiaqi Wang, Jingtao Li, Weiming Zhuang et al.

ICML 2025