LucasBoTang / GradNormLinks
PyTorch implementation of the GradNorm
☆116Updated last year
Alternatives and similar repositories for GradNorm
Users that are interested in GradNorm are comparing it to the libraries listed below
Sorting:
- Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"☆388Updated 4 years ago
- Official implementation of "Multi-Task Learning as a Bargaining Game" [ICML 2022]☆235Updated 6 months ago
- Implementation of Deep evidential regression paper☆58Updated 5 years ago
- Official PyTorch Implementation for Fast Adaptive Multitask Optimization (FAMO)☆107Updated last year
- The Implementation of "Auto-Lambda: Disentangling Dynamic Task Relationships" [TMLR 2022].☆140Updated 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
- Gaussian mixture models in PyTorch.☆584Updated 2 years ago
- AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning. AAAI, 2023.☆28Updated 2 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
- Evidential Deep Learning in PyTorch☆68Updated 3 years ago
- Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning☆642Updated 5 years ago
- Pytorch implementation of "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?"☆170Updated 6 years ago
- Multi-Task Learning Framework on PyTorch. State-of-the-art methods are implemented to effectively train models on multiple tasks.☆150Updated 6 years ago
- AM207 project: dissect aleatoric and epistemic uncertainty☆90Updated 6 years ago
- ☆148Updated 4 years ago
- Official PyTorch implementation for the paper "CARD: Classification and Regression Diffusion Models"☆233Updated 2 years ago
- Official PyTorch Implementation for Conflict-Averse Gradient Descent (CAGrad)☆141Updated 2 years ago
- ☆72Updated last year
- About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf☆328Updated last year
- [CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427☆391Updated 3 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 6 years ago
- [Oral; CVPR'22] Parametric Scattering Networks☆28Updated last month
- Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"☆1,063Updated last year
- [ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning☆149Updated 4 years ago
- Code repository of the paper "Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN" https://arxiv.org/abs…☆183Updated 7 months ago
- Official repository for CVPR21 paper "Deep Stable Learning for Out-Of-Distribution Generalization".☆199Updated 3 years ago
- Code for "Gradient Surgery for Multi-Task Learning"☆342Updated 5 years ago
- An implementation of the state-of-the-art Deep Active Learning algorithms☆106Updated 2 years ago
- Approximating Wasserstein distances with PyTorch☆460Updated 2 years ago
- Learn fast, scalable, and calibrated measures of uncertainty using neural networks!☆501Updated 4 years ago