GWLee0524 / AMTL
Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper
☆11Updated 8 years ago
Alternatives and similar repositories for AMTL
Users that are interested in AMTL are comparing it to the libraries listed below
Sorting:
- A Wasserstein Subsequence Kernel for Time Series.☆21Updated 11 months ago
- Multi-task feature learning☆15Updated 6 years ago
- Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)☆14Updated 6 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- Variable Selection and Task Grouping for Multi-Task Learning (VSTG-MTL)☆13Updated 5 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆33Updated 5 years ago
- MINE estimation implemented with Tensorflow 2☆11Updated 5 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆70Updated 7 years ago
- ☆42Updated 4 years ago
- Hierarchical Group Sparse Regularization for Deep Convolutional Neural Networks☆12Updated 5 years ago
- Code for the paper titled "Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks" (NeurIPS…☆11Updated 3 years ago
- Demonising Adversarial Auto-encoder in PyTorch☆24Updated 6 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- ☆15Updated 7 years ago
- Co-regularized Non-negative Matrix Factorization☆18Updated 8 years ago
- Learning to Impute: A General Framework for Semi-supervised Learning☆19Updated 4 years ago
- CCAs for looking into DNNs☆70Updated 4 years ago
- Multi Task Learning Package for Matlab☆21Updated 5 years ago
- ☆22Updated 6 years ago
- An implementation of various tensor-based decomposition for NN & RNN parameters☆18Updated 6 years ago
- Code to reproduce all the results in the paper: "Learning dynamics of linear denoising autoencoders." (ICML 2018)☆12Updated 6 years ago
- Variational Information Bottleneck☆16Updated 6 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆17Updated 5 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Updated 5 years ago
- Minimal implementation of Contrastive Predictive Coding for audio.☆16Updated 5 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 6 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 3 years ago
- Materials for implementing and reproducing results in the NIPS paper.☆23Updated 10 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago