AvivNavon / nash-mtlLinks
Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]
☆232Updated 3 months ago
Alternatives and similar repositories for nash-mtl
Users that are interested in nash-mtl are comparing it to the libraries listed below
Sorting:
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆368Updated 4 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆139Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆134Updated last year
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆100Updated last year
- Paper List for Multi-Task Learning (focus on architectures and optimization for MTL)☆51Updated last year
- 2024 up-to-date list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆793Updated last week
- Code for "Gradient Surgery for Multi-Task Learning"☆333Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆112Updated 4 years ago
- PyTorch implementation of the GradNorm☆106Updated last year
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆271Updated 3 years ago
- An up-to-date list of works on Multi-Task Learning☆369Updated last week
- A list of multi-task learning papers and projects.☆381Updated 3 years ago
- Compare neural networks by their feature similarity☆374Updated 2 years ago
- Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained…☆209Updated 2 years ago
- PyTorch repository for ICLR 2022 paper (GSAM) which improves generalization (e.g. +3.8% top-1 accuracy on ImageNet with ViT-B/32)☆144Updated 3 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆180Updated 3 years ago
- some bravo or inspiring research works on the topic of curriculum learning☆242Updated 3 years ago
- Official Pytorch's implementation of RotoGrad☆80Updated 2 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆85Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆90Updated 5 years ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆198Updated 3 years ago
- The Official Repository for "Generalized OOD Detection: A Survey"☆456Updated 3 years ago
- Open source code for paper "Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere" ICML 2…☆457Updated 3 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆77Updated 2 years ago
- Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)☆201Updated 2 years ago
- The official repo for CVPR2023 highlight paper "Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization".☆84Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for noisy labels).☆289Updated 3 years ago
- Code for coreset selection methods☆243Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago