domain-adaptation

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

POT : Python Optimal Transport

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

This source code implements our ECCV paper "task-conditioned domain adaptation for pedestrian detection in thermal imagery".

Official Implementation of "Fine-Tuning is Fine, if Calibrated.", NeurIPS 2024

Implementation of TSDS: Data Selection for Task-Specific Model Finetuning. An optimal-transport framework for selecting domain-specific and task-specific training data to improve LLM finetuning and instruction tuning.

Taller: Modelos de lenguaje a tu medida. 2º Workshop Argentino de NLP, Córdoba 2023