haebeom-lee / amtfl
Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)
☆14Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for amtfl
- Tensorflow implementation of DropMax: Adaptive Variational Softmax (NeurIPS2018)☆19Updated 4 years ago
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 5 years ago
- ☆14Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 3 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆39Updated 5 years ago
- [ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance☆58Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆65Updated 4 years ago
- Net2Net implementation on PyTorch for any possible vision layers.☆38Updated 7 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆117Updated last year
- ☆32Updated 5 years ago
- Demo for the paper titled "Learning to Compare: Relation Network for Few-Shot Learning"☆30Updated 6 years ago
- MAML implementation (tensorflow)☆14Updated 5 years ago
- ☆20Updated 6 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated 5 months ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆34Updated 6 years ago
- Unofficial pytorch implementation of a paper, Distributional Smoothing with Virtual Adversarial Training [Miyato+, ICLR2016].☆26Updated 6 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆59Updated 3 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 6 years ago
- This repo provides code used in the paper "Predicting with High Correlation Features" (https://arxiv.org/abs/1910.00164):☆54Updated 4 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 5 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 4 years ago
- ☆28Updated 6 years ago
- ☆34Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆120Updated 5 years ago
- pytorch implementation for paper, towards realistic predictors☆17Updated 6 years ago