lorenmt / auto-lambdaLinks
The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].
☆140Updated 2 years ago
Alternatives and similar repositories for auto-lambda
Users that are interested in auto-lambda are comparing it to the libraries listed below
Sorting:
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆235Updated 6 months ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆141Updated 2 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆99Updated 2 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆78Updated 2 years ago
- Universal Representations: A Unified Look at Multiple Task and Domain Learning☆44Updated last year
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆389Updated 4 years ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆107Updated last year
- ReSSL: Relational Self-Supervised Learning with Weak Augmentation☆57Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆86Updated last year
- This is the official GitHub for paper: On the Versatile Uses of Partial Distance Correlation in Deep Learning, in ECCV 2022☆176Updated 2 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- The implementation of "Self-Supervised Generalisation with Meta Auxiliary Learning" [NeurIPS 2019].☆175Updated 4 years ago
- Unsupervised Domain Adaptation for Computer Vision Tasks☆113Updated 3 years ago
- Official PyTorch implementation of "Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity" (ICLR'21 Oral)☆105Updated 4 years ago
- Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering☆52Updated 4 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆75Updated 5 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 4 years ago
- AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries☆163Updated 2 years ago
- ☆47Updated 3 years ago
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Updated 4 years ago
- [ICLR 2022] code for "Towards building a group-based unsupervised representation disentanglement framework"☆15Updated 3 years ago
- Whitening for Self-Supervised Representation Learning | Official repository☆133Updated 2 years ago
- Official Pytorch's implementation of RotoGrad☆80Updated 2 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆272Updated 3 years ago
- Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization☆154Updated 3 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☆181Updated 4 years ago
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆103Updated 4 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆342Updated 5 years ago