2025 Papers
21,856 papers found • Page 9 of 438
AdaptGrad: Adaptive Sampling to Reduce Noise
Linjiang Zhou, Chao Ma, Zepeng Wang et al.
Adapting Dense Matching for Homography Estimation with Grid-based Acceleration
Kaining Zhang, Yuxin Deng, Jiayi Ma et al.
Adapting In-Domain Few-Shot Segmentation to New Domains without Source Domain Retraining
Qi Fan, Kaiqi Liu, Nian Liu et al.
Adapting Multi-modal Large Language Model to Concept Drift From Pre-training Onwards
Xiaoyu Yang, Jie Lu, En Yu
Adapting Precomputed Features for Efficient Graph Condensation
Yuan Li, Jun Hu, Zemin Liu et al.
Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
Baixuan Lv, Yaohua Zha, Tao Dai et al.
Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration
Chao Wang, Hehe Fan, Huichen Yang et al.
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai, Christian Cianfarani, Vikash Sehwag et al.
Adapting to Linear Separable Subsets with Large-Margin in Differentially Private Learning
Erchi Wang, Yuqing Zhu, Yu-Xiang Wang
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
Xiaqiang Tang, Jian Li, Nan Du et al.
Adapting to Observation Length of Trajectory Prediction via Contrastive Learning
Ruiqi Qiu, JUN GONG, Xinyu Zhang et al.
Adapting to Stochastic and Adversarial Losses in Episodic MDPs with Aggregate Bandit Feedback
Shinji Ito, Kevin Jamieson, Haipeng Luo et al.
Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
Eitan Shaar, Ariel Shaulov, Gal Chechik et al.
Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision
Xiao Fang, Minhyek Jeon, Zheyang Qin et al.
Adapting While Learning: Grounding LLMs for Scientific Problems with Tool Usage Adaptation
Bohan Lyu, Yadi Cao, Duncan Watson-Parris et al.
Adaptive $Q$-Network: On-the-fly Target Selection for Deep Reinforcement Learning
Théo Vincent, Fabian Wahren, Jan Peters et al.
Adaptive 3D Reconstruction via Diffusion Priors and Forward Curvature-Matching Likelihood Updates
Seunghyeok Shin, Dabin Kim, Hongki Lim
AdaptiveAE: An Adaptive Exposure Strategy for HDR Capturing in Dynamic Scenes
Tianyi Xu, Fan Zhang, Boxin Shi et al.
Adaptive Algorithms with Sharp Convergence Rates for Stochastic Hierarchical Optimization
Xiaochuan Gong, Jie Hao, Mingrui Liu
Adaptive and Multi-scale Affinity Alignment for Hierarchical Contrastive Learning
Jiawei Huang, Minming Li, Hu Ding
Adaptive Articulated Object Manipulation On The Fly with Foundation Model Reasoning and Part Grounding
Xiaojie Zhang, Yuanfei Wang, Ruihai Wu et al.
Adaptive backtracking for faster optimization
Joao V. Cavalcanti, Laurent Lessard, Ashia Wilson
Adaptive Batch Size for Privately Finding Second-Order Stationary Points
Daogao Liu, Kunal Talwar
Adaptive Batch-Wise Sample Scheduling for Direct Preference Optimization
Zixuan Huang, Yikun Ban, Lean Fu et al.
Adaptive Caching for Faster Video Generation with Diffusion Transformers
Kumara Kahatapitiya, Haozhe Liu, Sen He et al.
Adaptive Calibration: A Unified Conversion Framework of Spiking Neural Networks
Ziqing Wang, Yuetong Fang, Jiahang Cao et al.
Adaptive Camera Sensor for Vision Models
Eunsu Baek, Sung-hwan Han, Taesik Gong et al.
Adaptive Cannistraci-Hebb Network Automata Modelling of Complex Networks for Path-based Link Prediction
Jialin Zhao, Alessandro Muscoloni, Umberto Michieli et al.
Adaptive Classifier-Free Guidance via Dynamic Low-Confidence Masking
Pengxiang Li, Shilin Yan, Jiayin Cai et al.
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.
Adaptive Context Length Optimization with Low-Frequency Truncation for Multi-Agent Reinforcement Learning
Wenchang Duan, Yaoliang Yu, Jiwan He et al.
Adaptive Data Analysis for Growing Data
Neil Marchant, Benjamin Rubinstein
Adaptive Data-Borrowing for Improving Treatment Effect Estimation using External Controls
Qinwei Yang, Jingyi Li, Peng Wu
Adaptive Data Collection for Robust Learning Across Multiple Distributions
Chengbo Zang, Mehmet Turkcan, Gil Zussman et al.
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws
Yiding Jiang, Allan Zhou, Zhili Feng et al.
Adaptive Dataset Quantization
Muquan Li, Dongyang Zhang, Qiang Dong et al.
Adaptive Decision Boundary for Few-Shot Class-Incremental Learning
Linhao Li, Yongzhang Tan, Siyuan Yang et al.
Adaptive Defense against Harmful Fine-Tuning for Large Language Models via Bayesian Data Scheduler
Zixuan Hu, Li Shen, Zhenyi Wang et al.
Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats
Jiaxin Wen, Vivek Hebbar, Caleb Larson et al.
Adaptive Discretization for Consistency Models
Jiayu Bai, Zhanbo Feng, Zhijie Deng et al.
Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search
Yanbo Wang, Zixiang Xu, Yue Huang et al.
Adaptive Divergence Regularized Policy Optimization for Fine-tuning Generative Models
Jiajun Fan, Tong Wei, Chaoran Cheng et al.
Adaptive Draft-Verification for Efficient Large Language Model Decoding
Xukun Liu, Bowen Lei, Ruqi Zhang et al.
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution
Hang Xu, Jie Huang, Wei Yu et al.
Adaptive Dual-domain Learning for Underwater Image Enhancement
Lintao Peng, Liheng Bian
Adaptive Dual Guidance Knowledge Distillation
Tong Li, Long Liu, Kang Liu et al.
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
Zixuan Hu, Dongxiao Li, Xinzhu Ma et al.
Adaptive Elicitation of Latent Information Using Natural Language
Jimmy Wang, Tom Zollo, Richard Zemel et al.
Adaptive Energy Alignment for Accelerating Test-Time Adaptation
Wonjeong Choi, Do-Yeon Kim, Jungwuk Park et al.
Adaptive Estimation and Learning under Temporal Distribution Shift
Dheeraj Baby, Yifei Tang, Hieu Nguyen et al.