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 7 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 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
- Xuhong Li, Yves Grandvalet, and Franck Davoine. "Explicit Inductive Bias for Transfer Learning with Convolutional Networks." In ICML 2018…☆56Updated 7 years ago
- NeurIPS'18: Masking: A New Perspective of Noisy Supervision☆55Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 7 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 6 years ago
- Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification☆37Updated 7 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 6 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- extract features by maximizing mutual information☆148Updated 6 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- Gaussian prototypical network architecture for few-shot learning☆43Updated 6 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch☆16Updated 6 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 6 years ago
- TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER☆119Updated 8 years ago
- Official implementation of "On GANs and GMMs"☆67Updated 6 years ago
- Chainer implementation of deep-INFOMAX☆34Updated 7 years ago
- Code for the paper "Curriculum Dropout", ICCV 2017☆26Updated 7 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 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
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 5 years ago
- Official code for the paper "Self-Supervised Prototypical Transfer Learning for Few-Shot Classification"☆51Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆149Updated 6 years ago
- Code for the paper "Generalizing to Unseen Domains via Adversarial Data Augmentation", NeurIPS 2018☆121Updated 5 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 3 years ago
- ICML'19: How does Disagreement Help Generalization against Label Corruption?☆22Updated 6 years ago