Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

Deep Reinforcement Learning

Published at International Conference on Computer Vision, ICCV 2025

Towards Unsupervised Open-Set Graph Domain Adaptation via Dual Reprogramming (NeurIPS 2025)

Buffer TTA

[NIPS 2025] Self-Training with Dynamic Weighting for Robust Gradual Domain Adaptation

Awesome things about domain generalization, including papers, code, etc.

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

A final sanity checklist to help your CS paper get accepted, not desk rejected.

Collection of awesome parameter-efficient fine-tuning resources.

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Weighted risk invariance

Distributionally robust neural networks for group shifts

Towards Unified and Effective Domain Generalization

[TPAMI 2026] Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models

[ICML 2023] Change is Hard: A Closer Look at Subpopulation Shift

Official repository of the "Transformer Fusion with Optimal Transport" paper, published as a conference paper at ICLR 2024.

Git Re-Basin: Merging Models modulo Permutation Symmetries in PyTorch

Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".

An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) [CVPRW 2024].

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

[AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation

The official repository of ECCV 2024 paper "Outlier-Aware Test-time Adaptation with Stable Memory Replay"

PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

DomainBed is a suite to test domain generalization algorithms