2025 Papers

21,856 papers found • Page 396 of 438

Towards Better-than-2 Approximation for Constrained Correlation Clustering

Andreas Kalavas, Evangelos Kipouridis, Nithin Varma

ICML 2025spotlight

Towards Black-Box Membership Inference Attack for Diffusion Models

Jingwei Li, Jing Dong, Tianxing He et al.

ICML 2025posterarXiv:2405.20771

Towards Bridging Generalization and Expressivity of Graph Neural Networks

Shouheng Li, Floris Geerts, Dongwoo Kim et al.

ICLR 2025posterarXiv:2410.10051

Towards Building Model/Prompt-Transferable Attackers against Large Vision-Language Models

Xiaowen Cai, Daizong Liu, Xiaoye Qu et al.

NEURIPS 2025spotlight

Towards Calibrated Deep Clustering Network

Yuheng Jia, Jianhong Cheng, Hui LIU et al.

ICLR 2025posterarXiv:2403.02998
3
citations

Towards Certification of Uncertainty Calibration under Adversarial Attacks

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz et al.

ICLR 2025posterarXiv:2405.13922
2
citations

Towards characterizing the value of edge embeddings in Graph Neural Networks

Dhruv Rohatgi, Tanya Marwah, Zachary Lipton et al.

ICML 2025posterarXiv:2410.09867

Towards Comprehensive Lecture Slides Understanding: Large-scale Dataset and Effective Method

Enming Zhang, Yuzhe Li, Yuliang Liu et al.

ICCV 2025poster

Towards Comprehensive Scene Understanding: Integrating First and Third-Person Views for LVLMs

Insu Lee, Wooje Park, Jaeyun Jang et al.

NEURIPS 2025spotlightarXiv:2505.21955

Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters

Xiaohan Qin, Xiaoxing Wang, Junchi Yan

CVPR 2025poster
3
citations

Towards Continual Universal Segmentation

Zihan Lin, Zilei Wang, Xu Wang

CVPR 2025poster

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification

Ziyue Qiao, Junren Xiao, Qingqiang Sun et al.

ICLR 2025posterarXiv:2406.07413

Towards Cost-Effective Learning: A Synergy of Semi-Supervised and Active Learning

Tianxiang Yin, Ningzhong Liu, Han Sun

CVPR 2025poster
1
citations

Towards Cost-Effective Reward Guided Text Generation

Ahmad Rashid, Ruotian Wu, Rongqi Fan et al.

ICML 2025posterarXiv:2502.04517

Towards counterfactual fairness through auxiliary variables

Bowei Tian, Ziyao Wang, Shwai He et al.

ICLR 2025posterarXiv:2412.04767

Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models

Young Kyun Jang, Ser-Nam Lim

ICCV 2025posterarXiv:2405.14715
2
citations

Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu et al.

NEURIPS 2025poster
6
citations

Towards Domain Adaptive Neural Contextual Bandits

Ziyan Wang, Xiaoming Huo, Hao Wang

ICLR 2025posterarXiv:2406.09564

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery

Ming Hu, Zhengdi Yu, feilong tang et al.

NEURIPS 2025spotlightarXiv:2505.17677

Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients

Li Lun, Kunyu Feng, Qinglong Ni et al.

CVPR 2025posterarXiv:2503.03272

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space

Xiaoyan Yu, Yifan Wei, Shuaishuai Zhou et al.

AAAI 2025paperarXiv:2412.10712
4
citations

Towards Effective Evaluations and Comparisons for LLM Unlearning Methods

Qizhou Wang, Bo Han, Puning Yang et al.

ICLR 2025posterarXiv:2406.09179
23
citations

Towards Effective Federated Graph Foundation Model via Mitigating Knowledge Entanglement

Yinlin Zhu, Xunkai Li, Jishuo Jia et al.

NEURIPS 2025posterarXiv:2505.12684

Towards Effective Foundation Model Adaptation for Extreme Cross-Domain Few-Shot Learning

Fei Zhou, Peng Wang, Lei Zhang et al.

ICCV 2025poster

Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning

Wenzhe Fan, Zishun Yu, Chengdong Ma et al.

AAAI 2025paperarXiv:2410.15841

Towards Efficient Foundation Model for Zero-shot Amodal Segmentation

Zhaochen Liu, Limeng Qiao, Xiangxiang Chu et al.

CVPR 2025poster
3
citations

Towards Efficient General Feature Prediction in Masked Skeleton Modeling

Shengkai Sun, Zefan Zhang, Jianfeng Dong et al.

ICCV 2025posterarXiv:2509.03609
1
citations

Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning

Minping Chen, You-Liang Huang, Zeyi Wen

AAAI 2025paper

Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework

Chuanming Wang, Yuxin Yang, Mengshi Qi et al.

AAAI 2025paperarXiv:2401.02041

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning

Lang Feng, Weihao Tan, Zhiyi Lyu et al.

ICML 2025posterarXiv:2505.03792

Towards Empowerment Gain through Causal Structure Learning in Model-Based Reinforcement Learning

Hongye Cao, Fan Feng, Meng Fang et al.

ICLR 2025poster
1
citations

Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency

Yikai Wang, Chenjie Cao, Junqiu Yu et al.

CVPR 2025highlightarXiv:2312.04831

Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification

Teng Huang, Bin-Bin Jia, Min-Ling Zhang

ICML 2025poster

Towards Evaluating Proactive Risk Awareness of Multimodal Language Models

Youliang Yuan, Wenxiang Jiao, Yuejin Xie et al.

NEURIPS 2025posterarXiv:2505.17455
2
citations

Towards Explainable and Unprecedented Accuracy in Matching Challenging Finger Crease Patterns

Zhenyu Zhou, Chengdong Dong, Ajay Kumar

CVPR 2025highlight

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming

Qian Li, Minghui Ouyang, Tian Ding et al.

ICLR 2025poster
1
citations

Towards Explicit Exoskeleton for the Reconstruction of Complicated 3D Human Avatars

Yifan Zhan, Qingtian Zhu, Muyao Niu et al.

ICCV 2025posterarXiv:2410.08082
2
citations

Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather

Longyu Yang, Ping Hu, Shangbo Yuan et al.

CVPR 2025posterarXiv:2506.02396

Towards Faster Decentralized Stochastic Optimization with Communication Compression

Rustem Islamov, Yuan Gao, Sebastian Stich

ICLR 2025posterarXiv:2405.20114
2
citations

Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians

Ishan Amin, Sanjeev Raja, Aditi Krishnapriyan

ICLR 2025posterarXiv:2501.09009
21
citations

Towards Federated RLHF with Aggregated Client Preference for LLMs

Feijie Wu, Xiaoze Liu, Haoyu Wang et al.

ICLR 2025posterarXiv:2407.03038
10
citations

Towards Fine-grained Interactive Segmentation in Images and Videos

Yuan Yao, Qiushi Yang, Miaomiao Cui et al.

ICCV 2025posterarXiv:2502.09660
1
citations

Towards Fine-Grained Interpretability: Counterfactual Explanations for Misclassification with Saliency Partition

ZHANG LINTONG, Kang Yin, Seong-Whan Lee

CVPR 2025posterarXiv:2511.07974

Towards flexible perception with visual memory

Robert Geirhos, Priyank Jaini, Austin Stone et al.

ICML 2025posterarXiv:2408.08172

Towards foundational LiDAR world models with efficient latent flow matching

Tianran Liu, Shengwen Zhao, Nicholas Rhinehart

NEURIPS 2025posterarXiv:2506.23434
4
citations

Towards Foundational Models for Single-Chip Radar

Tianshu Huang, Akarsh Prabhakara, Chuhan Chen et al.

ICCV 2025posterarXiv:2509.12482
1
citations

Towards Foundation Models for Mixed Integer Linear Programming

Sirui Li, Janardhan Kulkarni, Ishai Menache et al.

ICLR 2025posterarXiv:2410.08288
22
citations

Towards Fully FP8 GEMM LLM Training at Scale

Alejandro Hernández Cano, Dhia Garbaya, Imanol Schlag et al.

NEURIPS 2025posterarXiv:2505.20524

Towards General Continuous Memory for Vision-Language Models

Wenyi WU, Zixuan Song, Kun Zhou et al.

NEURIPS 2025posterarXiv:2505.17670

Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes

Jumin Han, Jun-Hui Kim, Seong-Whan Lee

NEURIPS 2025poster