Code for "Gradient Surgery for Multi-Task Learning"
☆352Apr 28, 2020Updated 5 years ago
Alternatives and similar repositories for PCGrad
Users that are interested in PCGrad are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆398Jun 22, 2021Updated 4 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆146Nov 9, 2023Updated 2 years ago
- PCGrad pytorch sample code [not official]☆31May 28, 2020Updated 5 years ago
- The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].☆728Feb 7, 2022Updated 4 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Jun 3, 2019Updated 6 years ago
- PyTorch implementation for "Gradient Surgery for Multi-Task Learning" https://arxiv.org/abs/2001.06782☆13Jul 6, 2020Updated 5 years ago
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,069Sep 2, 2024Updated last year
- (Unofficial) Implementation of ICLR 2021 paper "Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multil…☆14Sep 14, 2022Updated 3 years ago
- Code for "Multi-task Reinforcement Learning with Soft Modularization"☆122Dec 28, 2020Updated 5 years ago
- a much more complex case using GradNorm, where the layer sharing situation is sophisticated.☆15Feb 21, 2019Updated 7 years ago
- ☆69Sep 21, 2020Updated 5 years ago
- Official Pytorch's implementation of RotoGrad☆80Aug 1, 2023Updated 2 years ago
- Code for Which Tasks Should Be Learned Together in Multi-task Learning?☆102Mar 10, 2023Updated 3 years ago
- Code for the paper Adaptive Auxiliary Task Weighting for Reinforcement Learning☆26Jun 29, 2020Updated 5 years ago
- AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning☆114Jan 14, 2021Updated 5 years ago
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆139Feb 5, 2023Updated 3 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Dec 3, 2019Updated 6 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆239Jun 25, 2025Updated 9 months ago
- This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…☆57Feb 22, 2022Updated 4 years ago
- A list of multi-task learning papers and projects.☆385Jan 31, 2022Updated 4 years ago
- [CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning☆94Dec 8, 2022Updated 3 years ago
- Multi Task RL Baselines☆262Dec 31, 2021Updated 4 years ago
- A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.☆823Mar 3, 2026Updated 3 weeks ago
- Code for the ICML 2021 paper "Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation", Haoxi…☆67Oct 18, 2021Updated 4 years ago
- ☆13Mar 16, 2023Updated 3 years ago
- A framework for evaluating Machine Translation models.☆12May 26, 2025Updated 9 months ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆183Nov 2, 2021Updated 4 years ago
- Fourier Feature Networks in TensorFlow 2☆21Jun 23, 2020Updated 5 years ago
- Knowledge Distillation for Multi-task Learning (ECCV20 Workshops)☆78Apr 7, 2023Updated 2 years ago
- This is the source code of RPG (Reward-Randomized Policy Gradient)☆42Sep 1, 2022Updated 3 years ago
- Code for the paper "Meta-Q-Learning"( ICLR 2020)☆108Jun 18, 2022Updated 3 years ago
- Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning☆143Jan 2, 2020Updated 6 years ago
- PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).☆840Jan 13, 2022Updated 4 years ago
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,628Mar 25, 2022Updated 3 years ago
- Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"☆205Jul 25, 2024Updated last year
- PyTorch Implementation of the Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx)☆33Jul 6, 2021Updated 4 years ago
- Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics☆566Nov 1, 2021Updated 4 years ago
- Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]☆87Jul 25, 2024Updated last year
- Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning☆1,771Jan 20, 2026Updated 2 months ago