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 3 years ago
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 3 years ago
- Code of the paper Fair k-Means Clustering☆13Updated 3 years ago
- Generator loss to reduce mode-collapse and to improve the generated samples quality.☆34Updated 6 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆146Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 6 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 6 years ago
- Factor Graph Neural Network☆74Updated 4 years ago
- MetaModule provides extensions of PyTorch Module for meta learning☆45Updated 2 years ago
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 3 years ago
- ☆32Updated 2 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
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆28Updated 3 years ago
- ARML for ICLR 2020☆42Updated 5 years ago
- Code for Reparameterizable Subset Sampling via Continuous Relaxations, IJCAI 2019.☆57Updated last year
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆32Updated 4 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆23Updated 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…☆20Updated 2 years ago
- Tensorflow implementation of "Learning to Balance: Bayesian Meta-learning for Imbalanced and Out-of-distribution Tasks" (ICLR 2020 oral)☆101Updated 4 years ago
- This is the implementation code for the paper "Trainable Undersampling for Class-Imbalance Learning" published in AAAI2019☆16Updated 6 years ago
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 5 years ago
- ☆80Updated 3 years ago
- Codes for Causal Semantic Generative model (CSG), the model proposed in "Learning Causal Semantic Representation for Out-of-Distribution …☆74Updated 3 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
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆133Updated last year
- Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)☆43Updated 3 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆20Updated 6 years ago
- Implementation of MLP (python) and CNN (PyTorch) with Information Plane visualization.☆14Updated 7 years ago