vtddggg / training_template_for_AI_challenger_sea8Links
Example code of [Tianchi AAAI2022 Security AI Challenger Program Phase 8]
☆22Updated 3 years ago
Alternatives and similar repositories for training_template_for_AI_challenger_sea8
Users that are interested in training_template_for_AI_challenger_sea8 are comparing it to the libraries listed below
Sorting:
- [ CVPR 2021 Oral ] Pytorch implementation for "Adversarial Robustness under Long-Tailed Distribution"☆102Updated 4 years ago
- ☆27Updated 2 years ago
- Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.☆57Updated 3 years ago
- Implementation "Adapting Auxiliary Losses Using Gradient Similarity" article☆32Updated 6 years ago
- ☆58Updated 4 years ago
- An open-source project for long-tail classification☆39Updated 3 years ago
- Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022☆36Updated 2 years ago
- paper "O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks" code☆78Updated 3 years ago
- Reverse Cross Entropy for Adversarial Detection (NeurIPS 2018)☆47Updated 4 years ago
- Ranking-based-Instance-Selection☆33Updated 4 years ago
- ☆37Updated 5 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- Automated neural architecture search algorithms implemented in PyTorch and Autogluon toolkit.☆12Updated 5 years ago
- ☆24Updated 2 years ago
- ☆13Updated 4 years ago
- [NeurIPS'22] What Makes a "Good" Data Augmentation in Knowledge Distillation -- A Statistical Perspective☆37Updated 2 years ago
- PyTorch implementation of MLP-Mixer☆37Updated 4 years ago
- The official code for the paper "Delving Deep into Label Smoothing", IEEE TIP 2021☆81Updated 3 years ago
- Reading Papers☆14Updated 4 years ago
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 4 years ago
- An integration of several popular automatic augmentation methods, including OHL (Online Hyper-Parameter Learning for Auto-Augmentation St…☆48Updated 4 years ago
- 1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge…☆47Updated 3 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- [NeurIPS 2020] Code for the paper "Balanced Meta-Softmax for Long-Tailed Visual Recognition"☆76Updated 4 years ago
- [ICLR 2021 Spotlight Oral] "Undistillable: Making A Nasty Teacher That CANNOT teach students", Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Che…☆82Updated 3 years ago
- [CVPR 2020] Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives☆84Updated 5 years ago
- ☆53Updated 4 years ago
- UniMoCo: Unsupervised, Semi-Supervised and Full-Supervised Visual Representation Learning☆55Updated 4 years ago
- The official implementation of paper "Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise".☆40Updated 2 years ago
- Pytorch implementation of CVPR2021 paper: SuperMix: Supervising the Mixing Data Augmentation☆92Updated 3 years ago