mandt-lab / variational-beam-search
Code repository of NeurIPS 2021 paper: Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning.
☆12Updated 2 years ago
Alternatives and similar repositories for variational-beam-search
Users that are interested in variational-beam-search are comparing it to the libraries listed below
Sorting:
- Code for AAAI 2020 paper "Ensembles of Locally Independent Prediction Models"☆8Updated 5 years ago
- Code Release for Learning to Adapt to Evolving Domains☆31Updated 3 years ago
- The code for our NeurIPS 2021 paper "Kernelized Heterogeneous Risk Minimization".☆12Updated 3 years ago
- A curated list of awesome deep causal learning methods since 2018☆17Updated 2 years ago
- ☆26Updated 11 months ago
- ☆27Updated 4 years ago
- LEAP is a novel tool for discovering latent temporal causal relations.☆17Updated 3 years ago
- Neuro-Inspired Stability-Plasticity Adaptation for Sparse Continual Learning☆21Updated 2 years ago
- ☆14Updated 3 years ago
- ☆19Updated 5 years ago
- Code for Improving Task-free Continual Learning by Distributionally Robust Memory Evolution (ICML 2022)☆12Updated 2 years ago
- ☆22Updated last year
- PyTorch implementation of "Online Hyperparameter Optimization for Class-Incremental Learning" (AAAI 2023 Oral)☆17Updated last year
- ☆35Updated 3 years ago
- Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework☆52Updated 5 years ago
- PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"☆20Updated 4 years ago
- This repository demonstrates the application of our proposed task-free continual learning method on a synthetic experiment.☆13Updated 5 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data☆26Updated 3 years ago
- Continual Learning in Low-rank Orthogonal Subspaces (NeurIPS'20)☆36Updated 4 years ago
- A PyTorch implementation of "Meta-Amortized Variational Inference and Learning" (https://arxiv.org/abs/1902.01950)☆14Updated 5 years ago
- Code for the ICLR 2021 Paper "In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness"☆12Updated 3 years ago
- ☆15Updated 4 years ago
- Official PyTorch implementation of "EvoGrad: Efficient Gradient-Based Meta-Learning and Hyperparameter Optimization"☆21Updated 3 years ago
- Code repository of the paper "CITRIS: Causal Identifiability from Temporal Intervened Sequences" and "iCITRIS: Causal Representation Lear…☆52Updated last year
- ☆32Updated 2 years ago
- HSML Dynamic version for ICML 2019☆12Updated 5 years ago
- Code for Environment Inference for Invariant Learning (ICML 2021 Paper)☆50Updated 3 years ago
- [NeurIPS 2022] Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergen…☆13Updated 2 years ago
- Distributional and Outlier Robust Optimization (ICML 2021)☆27Updated 3 years ago