KKhvatova / Weakly_Supervised_LearningLinks
Weakly Supervised Learning: Introduction and Best Practices
☆12Updated 6 years ago
Alternatives and similar repositories for Weakly_Supervised_Learning
Users that are interested in Weakly_Supervised_Learning are comparing it to the libraries listed below
Sorting:
- Minimal implementation of Contrastive Predictive Coding for audio.☆17Updated 6 years ago
- ☆13Updated 5 years ago
- Curriculum Learning related papers and materials☆53Updated 5 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 3 years ago
- On Calibration of Modern Neural Networks - tensorflow implementation☆30Updated 7 years ago
- ☆20Updated 6 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆22Updated 6 years ago
- Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net…☆50Updated 2 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Updated 5 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 4 years ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆59Updated 6 years ago
- Label shift experiments☆17Updated 5 years ago
- Code for EMNLP 2019 paper "Attention is not not Explanation"☆58Updated 4 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆22Updated 5 years ago
- GPU-accelerated PyTorch implementation of Zero-shot User Intent Detection via Capsule Neural Networks☆16Updated 6 years ago
- ☆22Updated 6 years ago
- Code for EMNLP 2020 paper CoDIR☆41Updated 3 years ago
- Official PyTorch implementation of Time-aware Large Kernel (TaLK) Convolutions (ICML 2020)☆29Updated 5 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- bumble bee transformer☆14Updated 4 years ago
- ☆30Updated 7 years ago
- Official Implementation of "Transferring Inductive Biases Through Knowledge Distillation"☆15Updated 5 years ago
- This is an example program illustrating BERTs masked language model.☆28Updated 5 years ago
- Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data☆57Updated 4 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆91Updated last year
- ☆12Updated 6 years ago
- Curated Lists for graph neural network, graph convolutional network, graph attention network, etc.☆27Updated 6 years ago
- Notes and tutorials on "Mutual information and self-supervised learning"☆39Updated 6 years ago