"domain adaptation" Papers

Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data

Wenxin Su, Song Tang, Xiaofeng Liu et al.

DuET: Dual Incremental Object Detection via Exemplar-Free Task Arithmetic

Munish Monga, Vishal Chudasama, Pankaj Wasnik et al.

Lifelong Test-Time Adaptation via Online Learning in Tracked Low-Dimensional Subspace

Dexin Duan, Rui Xu, Peilin Liu et al.

Long-term Intracortical Neural activity and Kinematics (LINK): An intracortical neural dataset for chronic brain-machine interfaces, neuroscience, and machine learning

Hisham Temmar, Yixuan Wang, Nina Gill et al.

Memory Decoder: A Pretrained, Plug-and-Play Memory for Large Language Models

Jiaqi Cao, Jiarui Wang, Rubin Wei et al.

Meta-D2AG: Causal Graph Learning with Interventional Dynamic Data

Tian Gao, Songtao Lu, Junkyu Lee et al.

Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation

Jiaming Zhou, Teli Ma, Kun-Yu Lin et al.

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation

Ding Zhong, Xu Zheng, Chenfei Liao et al.

Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios

Hongwei Wen, Annika Betken, Hanyuan Hang

Progressive Test Time Energy Adaptation for Medical Image Segmentation

Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park et al.

Selective Label Enhancement Learning for Test-Time Adaptation

Yihao Hu, Congyu Qiao, Xin Geng et al.

TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition

yilong wang, Zilin Gao, Qilong Wang et al.

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models

Ding Huang, Ting Li, Jian Huang

CauDiTS: Causal Disentangled Domain Adaptation of Multivariate Time Series

Junxin Lu, Shiliang Sun

Classification under Nuisance Parameters and Generalized Label Shift in Likelihood-Free Inference

Luca Masserano, Alexander Shen, Michele Doro et al.

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations

Helen Qu, Sang Michael Xie

COPAL: Continual Pruning in Large Language Generative Models

Srikanth Malla, Joon Hee Choi, Chiho Choi

Differentially Private Domain Adaptation with Theoretical Guarantees

Raef Bassily, Corinna Cortes, Anqi Mao et al.

Domain-Controlled Prompt Learning

Qinglong Cao, Zhengqin Xu, Yuntian Chen et al.

Domain-wise Data Acquisition to Improve Performance under Distribution Shift

Yue He, Dongbai Li, Pengfei Tian et al.

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs

Haohui Wang, Yuzhen Mao, Yujun Yan et al.

Exploring Sparse Visual Prompt for Domain Adaptive Dense Prediction

Senqiao Yang, Jiarui Wu, Jiaming Liu et al.

Generalizing to Unseen Domains via Text-guided Augmentation

Daiqing Qi, Handong Zhao, Aidong Zhang et al.

Getting the most out of your tokenizer for pre-training and domain adaptation

Gautier Dagan, Gabriel Synnaeve, Baptiste Roziere

IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection

Mingjin Zhang, Yuchun Wang, Jie Guo et al.

LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views

Yuji Roh, Qingyun Liu, Huan Gui et al.

MC-PanDA: Mask Confidence for Panoptic Domain Adaptation

Ivan Martinovic, Josip Šarić, Siniša Šegvić

Minimizing $f$-Divergences by Interpolating Velocity Fields

Song Liu, Jiahao Yu, Jack Simons et al.

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.

Multi-Task Domain Adaptation for Language Grounding with 3D Objects

Penglei SUN, Yaoxian Song, Xinglin Pan et al.

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi ZHANG, Yunfei Gong, Daijie Chen et al.

OMPO: A Unified Framework for RL under Policy and Dynamics Shifts

Yu Luo, Tianying Ji, Fuchun Sun et al.

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors

Chun-Yin Huang, Kartik Srinivas, Xin Zhang et al.

Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis

Shirin Shoushtari, JIAMING LIU, Edward Chandler et al.

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Soft Prompt Generation for Domain Generalization

Shuanghao Bai, Yuedi Zhang, Wanqi Zhou et al.

Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation

Jae-Hong Lee, Joon Hyuk Chang

SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors

Fang Jiawei, Haishan Song, Chengxu Zuo et al.

Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Junhong Shen, Neil Tenenholtz, James Hall et al.

Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos

Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker

Test-Time Domain Adaptation by Learning Domain-Aware Batch Normalization

The Entropy Enigma: Success and Failure of Entropy Minimization

Ori Press, Ravid Shwartz-Ziv, Yann LeCun et al.

Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation

Li Ren, Chen Chen, Liqiang Wang et al.

Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport

Bin Li, Ye Shi, Qian Yu et al.

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives

Weibo Gao, Qi Liu, Hao Wang et al.