jiaconghu / Model-DoctorLinks
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]
☆15Updated 2 years ago
Alternatives and similar repositories for Model-Doctor
Users that are interested in Model-Doctor are comparing it to the libraries listed below
Sorting:
- Transformer Doctor: Diagnosing and Treating Vision Transformers☆11Updated last year
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- Simple Graph Condensation☆13Updated 11 months ago
- The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"☆84Updated 2 years ago
- [KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, X…☆97Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- Official codebase for paper Disentangled Condensation for Graphs (DisCo). This codebase is based on the open-source Pytorch Geometric fra…☆11Updated 11 months ago
- An awesome collection of causality-inspired graph neural networks.☆102Updated last year
- A curated list of awesome graph structure learning approaches☆38Updated last year
- [WWW2024 Oral] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆27Updated last year
- The implementation for DropMessage.☆39Updated 2 years ago
- [NeurIPS2023] Official code of "Understanding Contrastive Learning via Distributionally Robust Optimization"☆41Updated 2 years ago
- A curated list of papers in the intersection of multimodal LLMs and time series analysis. https://mllm-ts.github.io/paper/MLLMTS_Survey.p…☆62Updated 5 months ago
- GitHub Repo for ICLR 2023 Paper "Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks"☆60Updated 2 years ago
- The appendix and core code of model CauSTG, for accepted paper in KDD 2023.☆12Updated 2 years ago
- Official PyTorch implementation of paper "Schema Inference for Interpretable Image Classification" (ICLR 2023)☆15Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆38Updated 3 years ago
- The code of ICLR 2024 paper: Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective☆14Updated last year
- Time Series Contrastive Learning with Information-Aware Augmentations (Code)☆24Updated 2 years ago
- ☆10Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆29Updated 8 months ago
- ☆59Updated last year
- [NeurIPS 2024] CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting☆20Updated last year
- Second-Order Pooling for Graph Neural Networks☆16Updated 5 years ago
- This folder contains some of the data sets commonly used in the field of multivariate time series forecasting.☆10Updated 2 years ago
- Published papers focusing on graph domain adaptation, with survey paper online as Domain Adaptation for Graph Representation Learning: Ch…☆53Updated 9 months ago
- ☆182Updated last year
- [ICLR2025]Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series☆67Updated 11 months ago