GWLee0524 / AMTLLinks
Asymmetric Multi-Task Learning code, If you want to use it, please let me know and cite AMTL paper
☆11Updated 9 years ago
Alternatives and similar repositories for AMTL
Users that are interested in AMTL are comparing it to the libraries listed below
Sorting:
- Code release for "Learning Multiple Tasks with Multilinear Relationship Networks" (NIPS 2017)☆71Updated 8 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 6 years ago
- Tensorflow implementation of Deep Asymmetric Multi-task Feature Learning (ICML2018)☆14Updated 7 years ago
- Pytorch Implemention of paper "Deep Spectral Clustering Learning", the state of the art of the Deep Metric Learning Paper☆93Updated 7 years ago
- Implementation of Deep Linear Discriminant Analysis (DeepLDA)☆47Updated 9 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- Cross-modality (visual-auditory) Metric Learning Project☆15Updated 8 years ago
- A modified version of Spatial Transformer Networks to attend regions on the input image.☆45Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 4 years ago
- The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch☆18Updated 6 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 6 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Updated 6 years ago
- Action recognition with STIP features and my own Fisher vector implementation☆14Updated 8 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Updated 6 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 5 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 8 years ago
- Collections of generative model(VAE, CVAE, GAN, DCGAN)☆13Updated 7 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- CCAs for looking into DNNs☆70Updated 5 years ago
- Unofficial pytorch implementation of Born-Again Neural Networks.☆56Updated 4 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆83Updated 7 years ago
- Package to apply MTL on a few dataset☆26Updated 8 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 6 years ago
- extract features by maximizing mutual information☆148Updated 6 years ago