yaolu-zjut / Dynamic-Graphs-ConstructionLinks
Official Codes
☆19Updated last year
Alternatives and similar repositories for Dynamic-Graphs-Construction
Users that are interested in Dynamic-Graphs-Construction are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation☆29Updated 3 years ago
- Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation. NeurIPS 2022.☆32Updated 2 years ago
- Official repo for PAC-Bayes Information Bottleneck. ICLR 2022.☆49Updated 3 years ago
- [ICLR 2021] Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization☆41Updated 4 years ago
- ResMLP: Feedforward networks for image classification with data-efficient training☆43Updated 4 years ago
- ☆27Updated 2 years ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated 2 years ago
- ☆27Updated 4 years ago
- ☆17Updated 2 years ago
- Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)☆19Updated 4 years ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆52Updated last year
- Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR 2022 Oral)☆26Updated last year
- [TPAMI-2023] Official implementations of L-MCL: Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition☆25Updated 2 years ago
- Code for ViTAS_Vision Transformer Architecture Search☆50Updated 4 years ago
- [CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS☆36Updated 2 years ago
- Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)☆24Updated 3 years ago
- ISD: Self-Supervised Learning by Iterative Similarity Distillation☆36Updated 3 years ago
- An Efficient Dataset Condensation Plugin and Its Application to Continual Learning. NeurIPS, 2023.☆11Updated last year
- Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.☆33Updated last year
- Improving Contrastive Learning by Visualizing Feature Transformation, ICCV 2021 Oral☆90Updated 3 years ago
- This repo is for our paper: Normalization Techniques in Training DNNs: Methodology, Analysis and Application☆85Updated 4 years ago
- Auto-Prox-AAAI24☆13Updated last year
- Direct Differentiable Augmentation Search☆14Updated 3 years ago
- ☆26Updated last year
- ☆20Updated 2 years ago
- Code for our ICLR'2022 paper "Generalizing Few-Shot NAS with Gradient Matching"☆22Updated 2 years ago
- Code for our ICLR'2021 paper "DrNAS: Dirichlet Neural Architecture Search"☆43Updated 4 years ago
- ☆13Updated 4 years ago
- ☆14Updated 3 years ago
- [NeurIPS 2020] "Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free" by Haotao Wang*, Tianlong C…☆44Updated 3 years ago