THUML @ Tsinghua University (thuml)

THUML @ Tsinghua University

thuml

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Machine Learning Group, School of Software, Tsinghua University

Home Page:http://ise.thss.tsinghua.edu.cn/ml/

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THUML @ Tsinghua University's repositories

Transfer-Learning-Library

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

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Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

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Xlearn

Transfer Learning Library

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CDAN

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

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Universal-Domain-Adaptation

Code release for Universal Domain Adaptation(CVPR 2019)

predrnn-pytorch

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

LogME

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021), https://arxiv.org/abs/2102.11005

Self-Tuning

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

TransNorm

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

Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

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CoTuning

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

Domain-Adaptation-Regression

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

Versatile-Domain-Adaptation

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

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)

few-shot

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

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StochNorm

Code release for NeurIPS 2020 paper "Stochastic Normalization"

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Batch-Spectral-Shrinkage

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

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Transferable-Query-Selection

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

TCL

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

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Zoo-Tuning

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

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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

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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

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