peiyunh / alpfLinks
Active Learning with Partial Feedback, ICLR 2019
☆11Updated 5 years ago
Alternatives and similar repositories for alpf
Users that are interested in alpf are comparing it to the libraries listed below
Sorting:
- A pytorch compatible data loader to create sequence of tasks for Continual Learning☆33Updated 5 years ago
- ☆13Updated 7 years ago
- SGD and Ordered SGD codes for deep learning, SVM, and logistic regression☆36Updated 5 years ago
- The rep for the RotateNetworks in ICPR18, Beijing, China.☆33Updated 7 years ago
- This repository contains the code used in a publication 'Active Learning for Decision-Making from Imbalanced Observational Data', Iiris S…☆11Updated 6 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- ☆40Updated 5 years ago
- Implementation of Information Dropout☆39Updated 8 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- This repo contains the code used for NeurIPS 2019 paper "Asymmetric Valleys: Beyond Sharp and Flat Local Minima".☆14Updated 5 years ago
- Code for "Active One-shot Learning"☆33Updated 6 years ago
- Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018☆58Updated last year
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"☆25Updated 6 years ago
- Official Implementation of "Random Path Selection for Incremental Learning" paper. NeurIPS 2019☆53Updated 2 years ago
- [JMLR] TRADES + random smoothing for certifiable robustness☆14Updated 5 years ago
- The Ultimate Reference for Out of Distribution Detection with Deep Neural Networks☆118Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Pytorch implementation of the paper Bayesian Generative Active Deep Learning (ICML 2019).☆25Updated 6 years ago
- Gold Loss Correction☆88Updated 6 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆117Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆70Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Toy datasets to evaluate algorithms for domain generalization and invariance learning.☆42Updated 3 years ago
- An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*…☆140Updated 5 years ago
- Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."☆108Updated last year
- ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels☆91Updated 4 years ago
- Learning To Stop While Learning To Predict☆34Updated 2 years ago