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
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆40Updated 4 years ago
- ☆124Updated last year
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- NTK reading group☆87Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- Memory efficient MAML using gradient checkpointing☆85Updated 5 years ago
- ☆157Updated 3 years ago
- ☆67Updated 6 years ago
- ☆63Updated 4 years ago
- Implementation of the paper Recurrent Independent Mechanisms (https://arxiv.org/pdf/1909.10893.pdf)☆100Updated 3 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- ☆15Updated 5 years ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fin…☆164Updated 3 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- Official repository for CMU Machine Learning Department's 10732: Robustness and Adaptivity in Shifting Environments☆74Updated 2 years ago
- Code for "Recurrent Independent Mechanisms"☆118Updated 3 years ago
- Official implementation of Transformer Neural Processes☆78Updated 2 years ago
- "Detecting Extrapolation with Local Ensembles" by David Madras, James Atwood, and Alex D'Amour☆13Updated 4 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Simple data balancing baselines for worst-group-accuracy benchmarks.☆42Updated last year
- ☆44Updated 3 years ago
- Implementation of the variational continual learning method☆191Updated 6 years ago
- Library for the training and evaluation of object-centric models (ICML 2022)☆68Updated 2 years ago
- ☆91Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago