thuml / MTlearnLinks
Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)
☆71Updated 7 years ago
Alternatives and similar repositories for MTlearn
Users that are interested in MTlearn are comparing it to the libraries listed below
Sorting:
- A DIRT-T Approach to Unsupervised Domain Adaptation (ICLR 2018)☆175Updated 7 years ago
- Semantic Autoencoder for Zero-shot Learning (Spotlight), CVPR 2017☆146Updated 6 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- Code for the paper "Minimal-Entropy Correlation Alignment for Unsupervised Deep Domain Adaptation", ICLR 2018☆63Updated 5 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆118Updated 8 years ago
- Implementation of a convolutional Variational-Autoencoder model in pytorch.☆74Updated 6 years ago
- Recent few-shot meta-learning papers☆86Updated 7 years ago
- Code for Unsupervised Learning via Meta-Learning.☆121Updated 6 years ago
- Gold Loss Correction☆87Updated 6 years ago
- Deep Transfer Learning Papers☆80Updated 3 years ago
- Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018☆130Updated 6 years ago
- source code of the paper Graphical Generative Adversarial Networks☆71Updated 6 years ago
- Tensorflow implementation of paper "Recurrent Models of Visual Attention"☆51Updated 7 years ago
- Repository for the Learning without Forgetting paper, ECCV 2016☆84Updated 5 years ago
- Code for reproducing results from our paper, Robustness of conditional GANs to noisy labels, NIPS 2018☆40Updated 6 years ago
- An adversarial autoencoder implementation in pytorch☆84Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆66Updated 4 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- Self-Paced Multi-view Co-training for person re-id experiment☆30Updated 4 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Tensorflow implementation of "Representation Learning with Contrastive Predictive Coding"☆64Updated 6 years ago
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- This is a pytorch implementation of Deep-INFOMAX.☆35Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- AutoDIAL Caffe Implementation☆27Updated 8 years ago
- [Under development]- Implementation of various methods for dimensionality reduction and spectral clustering implemented with Pytorch☆163Updated 7 years ago