yingrliu / TAAN-MTL
Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning
☆17Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for TAAN-MTL
- [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…☆15Updated 2 years ago
- ☆16Updated 4 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆23Updated last year
- Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"☆10Updated 4 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 5 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- ICML'20: SIGUA: Forgetting May Make Learning with Noisy Labels More Robust☆13Updated 3 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Updated 5 years ago
- "Learning to learn by gradient descent by gradient descent "by PyTorch -- a simple re-implementation.☆60Updated 5 years ago
- ☆38Updated 5 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- Latent Space Virtual Adversarial Training (ECCV 2020)☆17Updated 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 5 years ago
- Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable ? (ICML 2021)☆27Updated last year
- Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020☆21Updated 4 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Updated 3 years ago
- Code for the paper Adversarial Robustness via Adversarial Label-Smoothing☆12Updated 4 years ago
- ☆30Updated 3 years ago
- Interpolation between Residual and Non-Residual Networks, ICML 2020. https://arxiv.org/abs/2006.05749☆26Updated 4 years ago
- ☆40Updated 4 years ago
- Exact Pareto Optimal solutions for preference based Multi-Objective Optimization☆55Updated 2 years ago
- An (imperfect) implementation of wide resnets and Parseval regularization☆8Updated 4 years ago
- Official repository for Reliable Label Bootstrapping☆19Updated last year
- Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)☆16Updated last year
- ☆17Updated 2 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- A general method for training cost-sensitive robust classifier☆21Updated 5 years ago
- ☆35Updated 2 years ago