Pytorch implementations of Co-teaching for noisy label learning
☆13Jun 28, 2022Updated 4 years ago
Alternatives and similar repositories for pytorch-coteaching
Users that are interested in pytorch-coteaching are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of "Dynamic Structure Pruning for Compressing CNNs" (AAAI 2023 Oral)☆28Jan 15, 2024Updated 2 years ago
- Uncertainty-Aware Curriculum Learning for Neural Machine Translation (ACL 2020)☆11Jun 12, 2020Updated 6 years ago
- [NeurIPS 2022] "Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks"☆13Nov 11, 2022Updated 3 years ago
- IPython notebook with synthetic experiments for AFLite, based on the ICML 2020 paper, "Adversarial Filters of Dataset Biases".☆16Aug 14, 2020Updated 6 years ago
- ☆35Mar 2, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Code for ACL2022 publication Transkimmer: Transformer Learns to Layer-wise Skim☆22Aug 21, 2022Updated 4 years ago
- During my research I usually like to visuallize and understand clearly how some papers/models work. In this repository I will create some…☆12Apr 7, 2022Updated 4 years ago
- Training Deep Neural Networks via Direct Loss Minimization☆17Oct 24, 2021Updated 4 years ago
- ☆13Mar 28, 2024Updated 2 years ago
- [NeurIPS 2017] [ICML 2019] Code for complementary-label learning☆50Aug 17, 2025Updated last year
- Towards Robust Interpretability with Self-Explaining Neural Networks, Alvarez-Melis et al. 2018☆15Oct 28, 2019Updated 6 years ago
- Embedding-based evaluation metrics for dialogue generation.☆15Jan 8, 2023Updated 3 years ago
- This is a large Chip-surface-defect-dataset, with 2270 real non-defective samples, 1241 real defective samples, and 7250 synthetic defect…☆25Dec 26, 2024Updated last year
- Explainable recommendation via interpretable feature mapping☆19Apr 25, 2020Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks☆11Mar 15, 2022Updated 4 years ago
- MetA-Train to Explain☆18Feb 15, 2022Updated 4 years ago
- ☆19Jul 27, 2018Updated 8 years ago
- [NeurIPS'20] Semi-Supervised Partial Label Learning via Confidence-Rated Margin Maximization☆21May 29, 2022Updated 4 years ago
- [ICASSP-2021] Official implementations of Multi-View Contrastive Learning for Online Knowledge Distillation (MCL-OKD)☆27Apr 7, 2021Updated 5 years ago
- This repository shows how to efficiently process variable-length sequences in TensorFlow.☆14Apr 26, 2022Updated 4 years ago
- ☆26Feb 27, 2022Updated 4 years ago
- ☆25May 31, 2022Updated 4 years ago
- Code for paper "Label Noise Types and Their Effects on Learning"☆18Nov 14, 2022Updated 3 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Benchmark for federated noisy label learning☆29Aug 31, 2024Updated 2 years ago
- Code for ACL 2019 paper "Enhancing Topic-to-Essay Generation with External Commonsense Knowledge "☆27Aug 13, 2019Updated 7 years ago
- Leveraging Knowledge Bases in LSTMs for Improving Machine Reading☆24Sep 12, 2019Updated 7 years ago
- Zero-shot Learning by Generating Task-specific Adapters☆14Apr 2, 2021Updated 5 years ago
- Python tool to turn SQL Database Schemas into ChatGPT Prompts☆15Jan 28, 2026Updated 7 months ago
- Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).☆19Dec 2, 2020Updated 5 years ago
- init☆11Sep 30, 2017Updated 8 years ago
- Tensorflow Basic Sample Code☆19Nov 15, 2022Updated 3 years ago
- OptimSeed - Seed Word Selection for Weakly-Supervised Text Classification [NAACL SRW 2021]☆14Mar 29, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆19Dec 23, 2025Updated 9 months ago
- Code for "Generating Interpretable Counterfactual Explanations By Implicit Minimisation of Epistemic and Aleatoric Uncertainties"☆20May 14, 2021Updated 5 years ago
- tensorflow implementation of GHM-C Loss☆12Apr 26, 2019Updated 7 years ago
- Official implementation for "Pruning Randomly Initialized Neural Networks with Iterative Randomization"☆10Oct 5, 2021Updated 4 years ago
- CNTK Implementation of R-Net☆13May 6, 2018Updated 8 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Sep 4, 2022Updated 4 years ago
- This repository contains the artifacts accompanied by the paper "Fair Preprocessing"☆13Jul 20, 2021Updated 5 years ago