yobibyte / unitary-scalarization-dmtlLinks
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
☆21Updated 2 years ago
Alternatives and similar repositories for unitary-scalarization-dmtl
Users that are interested in unitary-scalarization-dmtl are comparing it to the libraries listed below
Sorting:
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 3 years ago
- ☆126Updated last year
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆61Updated 6 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 6 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆41Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆170Updated 3 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆101Updated 3 years ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆71Updated 2 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- Implementation of the variational continual learning method☆195Updated 6 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆65Updated 6 years ago
- Code for "Recurrent Independent Mechanisms"☆120Updated 3 years ago
- ☆68Updated 6 years ago
- NTK reading group☆87Updated 6 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆158Updated 3 years ago
- Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.☆148Updated 2 years ago
- Hypergradient descent☆147Updated last year
- ☆63Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆282Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆91Updated 5 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆43Updated 4 years ago