20 open source projects by thuml

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

Code release for Universal Domain Adaptation(CVPR 2019)

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

Transfer-Learning-Library

Transfer Learning Library

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

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

Code release for "Partial Transfer Learning with Selective Adversarial Networks" (CVPR 2018)

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

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

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

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

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

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

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

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)

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

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)