2025 Papers
21,856 papers found • Page 399 of 438
Towards Robust Knowledge Unlearning: An Adversarial Framework for Assessing and Improving Unlearning Robustness in Large Language Models
Hongbang Yuan, Zhuoran Jin, Pengfei Cao et al.
Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
Hao Dong, Eleni Chatzi, Olga Fink
Towards Robustness and Explainability of Automatic Algorithm Selection
Xingyu Wu, Jibin Wu, Yu Zhou et al.
Towards Robustness of Person Search against Corruptions
Woojung Son, Yoonki Cho, Guoyuan An et al.
Towards Robust Parameter-Efficient Fine-Tuning for Federated Learning
Xiuwen Fang, Mang Ye
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective
Wangkai Li, Rui Sun, Zhaoyang Li et al.
Towards Robust Uncertainty Calibration for Composed Image Retrieval
Yifan Wang, Wuliang Huang, Yufan Wen et al.
Towards Robust Visual Question Answering via Prompt-Driven Geometric Harmonization
Yishu Liu, Jiawei Zhu, Congcong Wen et al.
Towards Robust Zero-Shot Reinforcement Learning
Kexin ZHENG, Lauriane Teyssier, Yinan Zheng et al.
Towards Runtime Analysis of Population-Based Co-evolutionary Algorithms on Sparse Binary Zero-Sum Game
Per Kristian Lehre, Shishen Lin
Towards S²-Challenges Underlying LLM-Based Augmentation for Personalized News Recommendation
Shicheng Wang, Hengzhu Tang, Li Gao et al.
Towards Safer and Understandable Driver Intention Prediction
Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai et al.
Towards Satellite Image Road Graph Extraction: A Global-Scale Dataset and A Novel Method
Pan Yin, Kaiyu Li, Xiangyong Cao et al.
Towards Scalable and Deep Graph Neural Networks via Noise Masking
Yuxuan Liang, Wentao Zhang, Zeang Sheng et al.
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish et al.
Towards Scalable Human-aligned Benchmark for Text-guided Image Editing
Suho Ryu, Kihyun Kim, Eugene Baek et al.
Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting
Xingyu Miao, Haoran Duan, Quanhao Qian et al.
Towards Scalable Topological Regularizers
Wong Hiu-Tung, Darrick Lee, Hong Yan
Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models
Konstantin Donhauser, Kristina Ulicna, Gemma Moran et al.
Towards Self-Refinement of Vision-Language Models with Triangular Consistency
Yunlong Deng, Guangyi Chen, Tianpei Gu et al.
Towards Self-Supervised Covariance Estimation in Deep Heteroscedastic Regression
Megh Shukla, Aziz Shameem, Mathieu Salzmann et al.
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu, Hao Fei, Xiangtai Li et al.
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
Baolong Liu, Ruiqing Yang, Roukai Huang et al.
Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts
Chen Li, Huiying Xu, Changxin Gao et al.
Towards Smart Point-and-Shoot Photography
Jiawan Li, Fei Zhou, Zhipeng Zhong et al.
Towards Source-Free Machine Unlearning
Sk Miraj Ahmed, Umit Basaran, Dripta S. Raychaudhuri et al.
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints
Guanjie Chen, Xinyu Zhao, Yucheng Zhou et al.
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory
Wenliang Zhong, Haoyu Tang, Qinghai Zheng et al.
Towards Straggler-Resilient Split Federated Learning: An Unbalanced Update Approach
Dandan Liang, Jianing Zhang, Evan Chen et al.
Towards Synergistic Path-based Explanations for Knowledge Graph Completion: Exploration and Evaluation
Tengfei Ma, Xiang song, Wen Tao et al.
Towards Syn-to-Real IQA: A Novel Perspective on Reshaping Synthetic Data Distributions
Aobo Li, Jinjian Wu, Yongxu Liu et al.
Towards the Causal Complete Cause of Multi-Modal Representation Learning
Jingyao Wang, Siyu Zhao, Wenwen Qiang et al.
Towards the Efficient Inference by Incorporating Automated Computational Phenotypes under Covariate Shift
chao ying, Jun Jin, Yi Guo et al.
Towards Theoretical Understanding of Sequential Decision Making with Preference Feedback
Simone Drago, Marco Mussi, Alberto Maria Metelli
Towards the Resistance of Neural Network Fingerprinting to Fine-tuning
Ling Tang, YueFeng Chen, Hui Xue' et al.
Towards Thinking-Optimal Scaling of Test-Time Compute for LLM Reasoning
Wenkai Yang, Shuming Ma, Yankai Lin et al.
Towards Training-free Anomaly Detection with Vision and Language Foundation Models
Jinjin Zhang, Guodong Wang, yizhou jin et al.
Towards Transformer-Based Aligned Generation with Self-Coherence Guidance
Shulei Wang, Wang Lin, Hai Huang et al.
Towards Trustable SHAP Scores
Olivier Létoffé, Xuanxiang Huang, Joao Marques-Silva
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah, Rachid Guerraoui, John Stephan
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
Bo Ni, Yu Wang, Lu Cheng et al.
Towards Unbiased and Robust Spatio-Temporal Scene Graph Generation and Anticipation
Rohith Peddi, Saurabh ., Ayush Abhay Shrivastava et al.
Towards Unbiased Calibration using Meta-Regularization
Jacek Golebiowski, Cheng Wang
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
Towards Unbiased Learning in Semi-Supervised Semantic Segmentation
Rui Sun, Huayu Mai, Wangkai Li et al.
Towards Understanding and Quantifying Uncertainty for Text-to-Image Generation
Gianni Franchi, Nacim Belkhir, Dat NGUYEN et al.
Towards Understanding Camera Motions in Any Video
Zhiqiu Lin, Siyuan Cen, Daniel Jiang et al.
Towards Understanding Catastrophic Forgetting in Two-layer Convolutional Neural Networks
Boqi Li, Youjun Wang, Weiwei Liu
Towards Understanding Fine-Tuning Mechanisms of LLMs via Circuit Analysis
Xu Wang, Yan Hu, Wenyu Du et al.
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
Christophe Vauthier, Anna Korba, Quentin Mérigot