yingrliu / TAAN-MTLLinks
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
☆17Updated 5 years ago
Alternatives and similar repositories for TAAN-MTL
Users that are interested in TAAN-MTL are comparing it to the libraries listed below
Sorting:
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆68Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- [ICML2020] "Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training" by Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gon…☆69Updated 4 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆61Updated 6 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆33Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- MetaModule provides extensions of PyTorch Module for meta learning☆44Updated 3 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆14Updated 8 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 4 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Updated 4 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 4 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 5 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 5 years ago
- Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network☆61Updated 6 years ago
- A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can pr…☆22Updated 2 years ago
- Deep Structured Energy Based Model☆11Updated 8 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 6 years ago
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- pytorch implementation of https://arxiv.org/abs/1705.09847☆15Updated 6 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆15Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- Implementation of the paper "Shapley Explanation Networks"☆89Updated 4 years ago
- Wasserstein Based Domain Adaptation Model☆46Updated 7 years ago
- ☆26Updated 7 years ago
- Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"☆25Updated 4 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆76Updated 3 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 4 years ago
- ☆42Updated 6 years ago
- An introduction to variational Bayesian☆24Updated 7 years ago