THUML @ Tsinghua University

Xlearn

Transfer Learning Library

CDAN

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

HashNet

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

MDD

Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

Self-Tuning

Code release for "Self-Tuning for Data-Efficient Deep Learning" (ICML 2021)

Batch-Spectral-Penalization

Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

Transferable-Adversarial-Training

Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)

TransNorm

Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)

Domain-Adaptation-Regression

Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)

Deep-Embedded-Validation

Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)

ETN

Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"

Separate_to_Adapt

Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)

Versatile-Domain-Adaptation

Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)

CoTuning

Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"

Calibrated-Multiple-Uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

OpenDG-DAML

Code release for Open Domain Generalization with Domain-Augmented Meta-Learning (CVPR2021)

Batch-Spectral-Shrinkage

Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)

Transferable-Query-Selection

Code Release for "Transferable Query Selection for Active Domain Adaptation"(CVPR2021)

few-shot

A lightweight library that implements state-of-the-art few-shot learning algorithms.

transferable-memory

Decoupled-Adaptation-for-Cross-Domain-Object-Detection

Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578

DPH

Code release for "Deep Priority Hashing" (ACMMM 2018)

TCL

Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)

DCN

Deep Calibration Network

MMHH

PAN

Metasets

TransCal

Zoo-Tuning

Code release for Zoo-Tuning: Adaptive Transfer from A Zoo of Models (ICML2021)

Regressive-Domain-Adaptation-for-Unsupervised-Keypoint-Detection

Code for CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection (RegDA) https://arxiv.org/abs/2103.06175