jiaconghu / Transformer-Doctor
Transformer Doctor: Diagnosing and Treating Vision Transformers
☆10Updated 3 months ago
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☆16Updated 3 months ago
- Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]☆15Updated last year
- A Survey of Direct Preference Optimization (DPO)☆35Updated last month
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆46Updated last year
- FusionBench: A Comprehensive Benchmark/Toolkit of Deep Model Fusion☆121Updated this week
- Simple Graph Condensation☆11Updated 2 months ago
- OOD Generalization相关文章的阅读笔记☆31Updated 4 months ago
- [NeurIPS 2024] CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting☆13Updated 3 months ago
- translation of VHL repo in paddle☆25Updated last year
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆33Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆48Updated last year
- AAAI 2024, M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy☆24Updated last year
- ☆23Updated 7 months ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆39Updated last year
- [ICLR 2024] Dynamic Neural Response Tuning☆16Updated last month
- Data Optimization in Deep Learning: A Survey☆18Updated last year
- [NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach☆42Updated 2 years ago
- A curated list of papers and resources about the distribution shift in machine learning.☆117Updated last year
- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆15Updated 2 years ago
- Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"☆13Updated 9 months ago
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆24Updated 10 months ago
- ☆56Updated 5 months ago
- [AAAI 2025] Holistic Semantic Representation for Navigational Trajectory Generation☆11Updated last week
- ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse☆51Updated last year
- The official GitHub page for the survey paper "CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey". And thi…☆28Updated this week
- Graph based Knowledge Distillation: A Survey☆66Updated 2 years ago
- ☆24Updated last year
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 10 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- An awesome collection of causality-inspired graph neural networks.☆74Updated 4 months ago