Q. Yao, H. Yang, B. Han, G. Niu, J. Kwok. Searching to Exploit Memorization Effect in Learning from Noisy Labels. ICML 2020
☆23Aug 23, 2020Updated 5 years ago
Alternatives and similar repositories for S2E
Users that are interested in S2E are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- An update-to-date list for papers related with label-noise representation learning is here.☆91Aug 25, 2021Updated 4 years ago
- ☆15Jul 29, 2023Updated 2 years ago
- PyTorch implementation of the paper "SuperLoss: A Generic Loss for Robust Curriculum Learning" in NIPS 2020.☆29Jan 26, 2021Updated 5 years ago
- NeurIPS'18: Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels☆520Aug 19, 2021Updated 4 years ago
- [AAAI 21] Utilizing meta-learning to correct the noisy labels.☆15Apr 26, 2021Updated 4 years ago
- Lifelong machine learning is a novel machine learning paradigm which continually learns tasks and accumulates knowledge for reusing. The …☆10Sep 15, 2019Updated 6 years ago
- Official code for the paper "Meta Soft Label Generation for Noisy Labels" accepted at ICPR 2020.☆21Oct 12, 2020Updated 5 years ago
- ☆15May 11, 2019Updated 6 years ago
- NeurIPS'2019: Are Anchor Points Really Indispensable in Label-Noise Learning?☆98Aug 18, 2021Updated 4 years ago
- This repository is used to record current noisy label paper in mainstream ML and CV conference and journal.☆36Aug 29, 2021Updated 4 years ago
- 深度学习☆13Feb 16, 2023Updated 3 years ago
- Official code for "BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification"☆27Apr 11, 2024Updated last year
- Meta Label Correction for Noisy Label Learning☆86Sep 28, 2022Updated 3 years ago
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Jul 22, 2021Updated 4 years ago
- Deep Clustering Learning☆12Aug 8, 2019Updated 6 years ago
- Evolving Normalization-Activation Layers☆19Apr 10, 2020Updated 5 years ago
- ICML'19 How does Disagreement Help Generalization against Label Corruption?☆89Jun 30, 2019Updated 6 years ago
- Knowledge Transfer via Dense Cross-layer Mutual-distillation (ECCV'2020)☆30Aug 19, 2020Updated 5 years ago
- This repository provides code source used in the paper: A Mean Field Theory of Quantized Deep Networks: The Quantization-Depth Trade-Off☆13May 30, 2019Updated 6 years ago
- Implementation of the paper Identifying Mislabeled Data using the Area Under the Margin Ranking: https://arxiv.org/pdf/2001.10528v2.pdf☆22Feb 6, 2020Updated 6 years ago
- ☆14Apr 25, 2023Updated 2 years ago
- Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection☆11Sep 19, 2023Updated 2 years ago
- ☆13Jan 8, 2020Updated 6 years ago
- EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search☆25Apr 10, 2019Updated 6 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆22Nov 15, 2020Updated 5 years ago
- A curated list of awesome Mix☆72Dec 23, 2022Updated 3 years ago
- ☆14Mar 19, 2020Updated 6 years ago
- ☆19Mar 5, 2019Updated 7 years ago
- Regularly Truncated M-estimators for Learning with Noisy Labels☆11Apr 24, 2024Updated last year
- Implementation of GQN in PyTorch☆64Apr 8, 2019Updated 6 years ago
- Single Path One-Shot NAS MXNet implementation with Supernet training and searching☆19Dec 23, 2019Updated 6 years ago
- NeurIPS 2022: Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning☆18Mar 3, 2023Updated 3 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Apr 22, 2020Updated 5 years ago
- A PyTorch implementation of InfoVAE: Balancing Learning and Inference in Variational Autoencoders by Zhao et al.☆10Aug 13, 2019Updated 6 years ago
- PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020☆49Dec 17, 2019Updated 6 years ago
- ☆11Jan 25, 2022Updated 4 years ago
- The official implementation of "Federated Learning with Label-Masking Distillation"☆11Oct 28, 2023Updated 2 years ago
- Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search☆89May 29, 2019Updated 6 years ago
- Code companion of Multi-task Learning for Aggregated Data using Gaussian Processes paper☆10Apr 6, 2020Updated 5 years ago