fastforwardlabs / learning-to-learn
☆13Updated 4 years ago
Alternatives and similar repositories for learning-to-learn:
Users that are interested in learning-to-learn are comparing it to the libraries listed below
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆40Updated 4 years ago
- ☆22Updated 3 years ago
- Weakly Supervised Learning: Introduction and Best Practices☆12Updated 5 years ago
- PyTorch implementation for "Few-Shot Learning with Class Imbalance"☆37Updated 3 years ago
- Label shift experiments☆16Updated 4 years ago
- Code to study the generalisability of benchmark models on non-stationary EHRs.☆14Updated 5 years ago
- Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning☆48Updated 4 years ago
- Code for Stop&Hop, a method for learning to classify irregularly-sampled time series early☆18Updated 5 months ago
- ☆11Updated last year
- Supercharging Imbalanced Data Learning WithCausal Representation Transfer☆12Updated 3 years ago
- Self Supervised Learning for Time Series Using Similarity Distillation☆10Updated 2 years ago
- Code for "Zero-Shot Out-of-Distribution Detection with Feature Correlations"☆13Updated 5 years ago
- Model Patching: Closing the Subgroup Performance Gap with Data Augmentation☆42Updated 4 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆14Updated 4 years ago
- Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)☆42Updated 2 years ago
- TensorFlow 2 implementation of the paper Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution …☆45Updated 3 years ago
- A simple algorithm to identify and correct for label shift.☆21Updated 7 years ago
- Project page for paper Self-supervised Representation Learning with Relative Predictive Coding☆17Updated 3 years ago
- ☆13Updated 7 years ago
- Advances in Neural Information Processing Systems (NeurIPS 2021)☆22Updated 2 years ago
- An Empirical Study of Invariant Risk Minimization☆27Updated 4 years ago
- A curated list of awesome deep causal learning methods since 2018☆17Updated 2 years ago
- Codebase for the paper "Adversarial Attacks on Time Series"☆22Updated 6 years ago
- COCOA: Cross Modality Contrastive Learning for Sensor Data☆25Updated 2 years ago
- ☆30Updated 7 years ago
- Pytorch implementation for "The Surprising Positive Knowledge Transfer in Continual 3D Object Shape Reconstruction"☆33Updated 2 years ago
- (ICML 2021) Mandoline: Model Evaluation under Distribution Shift☆31Updated 3 years ago
- Code repository for the AISTATS 2021 paper "Towards Understanding the Optimal Behaviors of Deep Active Learning Algorithms"☆15Updated 4 years ago
- ☆24Updated 3 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago