utils to make deep learning easy
Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"
Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)
Code release for NeurIPS 2020 paper "Stochastic Normalization"
Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)
Code Release for "Minimum Class Confusion for Versatile Domain Adaptation"(ECCV2020)
Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.
Code release for Universal Domain Adaptation(CVPR 2019)
Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)
Transfer Learning Library
Code release for Transferable Curriculum for Weakly-Supervised Domain Adaptation (AAAI2019)
Code release for Separate to Adapt: Open Set Domain Adaptation via Progressive Separation (CVPR 2019)
Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)
Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)
Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"
Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".
Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)
Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)
Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classiﬁers (ICML2019)
Deep Calibration Network
Code release for "Deep Priority Hashing" (ACMMM 2018)
HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN
Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)
Code release for "Multi-Adversarial Domain Adaptation" (AAAI 2018)
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