jiaconghu / Transformer-Doctor
Transformer Doctor: Diagnosing and Treating Vision Transformers
☆10Updated last month
Alternatives and similar repositories for Transformer-Doctor:
Users that are interested in Transformer-Doctor are comparing it to the libraries listed below
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆14Updated last month
- Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]☆15Updated last year
- OOD Generalization相关文章的阅读笔记☆30Updated 2 months ago
- Simple Graph Condensation☆11Updated 3 months ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆45Updated 11 months ago
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆109Updated this week
- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆15Updated last year
- Data Optimization in Deep Learning: A Survey☆18Updated last year
- Graph based Knowledge Distillation: A Survey☆64Updated last year
- Code for CVPR 2024 paper: Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation☆12Updated 9 months ago
- An awesome collection of causality-inspired graph neural networks.☆61Updated 2 months ago
- ☆53Updated 3 months ago
- ☆10Updated 5 months ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆21Updated last year
- A curated list of Model Merging methods.☆89Updated 5 months ago
- This is a list of awesome prototype-based papers for explainable artificial intelligence.☆36Updated 2 years ago
- This is an official PyTorch implementation of the ICML 2023 paper AdaNPC and SIGKDD paper DRM.☆85Updated 10 months ago
- Awesome Learn From Model Beyond Fine-Tuning: A Survey☆57Updated 2 months ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆33Updated 2 years ago
- translation of VHL repo in paddle☆25Updated last year
- ☆18Updated last year
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆77Updated last year
- Published papers focusing on graph domain adaptation☆35Updated 2 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated 10 months ago
- A curated list of papers on graph structure learning (GSL).☆42Updated last month
- ☆24Updated last year
- Large Language Models for Anomaly and Out-of-Distribution Detection☆58Updated 5 months ago
- Graph Few-Shot Class-Incremental Learning via Prototype Representation☆20Updated 2 years ago
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆9Updated last year