OPTML-Group / Fast-BAT
[ICML22] "Revisiting and Advancing Fast Adversarial Training through the Lens of Bi-level Optimization" by Yihua Zhang*, Guanhua Zhang*, Prashant Khanduri, Mingyi Hong, Shiyu Chang, and Sijia Liu
☆65Updated 2 years ago
Alternatives and similar repositories for Fast-BAT
Users that are interested in Fast-BAT are comparing it to the libraries listed below
Sorting:
- [ICLR2021] Official Pytorch implementation of "When Optimizing f-Divergence is Robust with Label noise"☆67Updated 2 years ago
- ☆58Updated last year
- [NeurIPS22] "Advancing Model Pruning via Bi-level Optimization" by Yihua Zhang*, Yuguang Yao*, Parikshit Ram, Pu Zhao, Tianlong Chen, Min…☆117Updated 2 years ago
- [ICLR 2023] Official Tensorflow implementation of "Distributionally Robust Post-hoc Classifiers under Prior Shifts"☆34Updated last year
- ☆119Updated this week
- Improving fast adversarial training with prior-guided knowledge (TPAMI2024)☆41Updated last year
- CVPR 2022 Workshop Robust Classification☆78Updated 2 years ago
- ☆33Updated 4 months ago
- Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack☆33Updated 6 months ago
- Learning with Noisy Labels by adopting a peer prediction loss function (deep learning & multi-class version).☆19Updated 2 years ago
- ☆66Updated 2 months ago
- A comprehensive collection of resources focused on addressing and understanding hallucination phenomena in MLLMs.☆34Updated last year
- Deep Learning - Robustness - Immune System☆13Updated 3 years ago
- [ICML2022 Long Talk] Official Pytorch implementation of "To Smooth or Not? When Label Smoothing Meets Noisy Labels"☆96Updated 2 years ago
- Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging (TIFS2024)☆34Updated 11 months ago
- [AISTATS2021] Official implementation of "Sample Elicitation"☆29Updated 4 years ago
- ☆48Updated 7 months ago
- A curated list of awesome papers on the platonic representation hypothesis.☆41Updated last month
- A Pytorch implementation of ICML 2022 paper "NP-Match: When Neural Processes meet Semi-Supervised Learning"☆98Updated last year
- BAL: Balancing Diversity and Novelty for Active Learning - Official Pytorch Implementation☆38Updated last year
- PyTorch Implementation of ECCV 2022 paper: "DuelGAN: A Duel Between Two Discriminators Stabilizes the GAN Training".☆39Updated 2 years ago
- [ECCV2022,oral] Identifying Hard Noise in Long-Tailed Sample Distribution☆75Updated 2 years ago
- [NDSS'24] Inaudible Adversarial Perturbation: Manipulating the Recognition of User Speech in Real Time☆55Updated 7 months ago
- Practical Detection of Trojan Neural Networks☆119Updated 4 years ago
- [ICLR 2025] Improving Data Efficiency via Curating LLM-Driven Rating Systems☆93Updated last month
- The Pytorch implementation for "Topology-aware Robust Optimization for Out-of-Distribution Generalization" (ICLR 2023)☆28Updated last month
- Code for ACL 2024 long paper: Are AI-Generated Text Detectors Robust to Adversarial Perturbations?☆28Updated 10 months ago
- SemiEvol: Semi-supervised Fine-tuning for LLM Adaptation☆54Updated 3 weeks ago
- [ICPR'24 Oral] Large-scale Pre-trained Models are Surprisingly Strong in Incremental Novel Class Discovery☆43Updated 10 months ago
- ACL 2024☆32Updated 7 months ago