guoyongcs / NATv2Links
Implementation for NATv2.
☆23Updated 4 years ago
Alternatives and similar repositories for NATv2
Users that are interested in NATv2 are comparing it to the libraries listed below
Sorting:
- Codes for DATA: Differentiable ArchiTecture Approximation.☆11Updated 3 years ago
- Directed masked autoencoders☆14Updated 2 years ago
- The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.☆20Updated last year
- Implementation of the LOSSGRAD optimization algorithm☆15Updated 6 years ago
- Official Pytorch implementation of the paper: "Locally Shifted Attention With Early Global Integration"☆15Updated 3 years ago
- We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…☆16Updated 3 years ago
- ☆23Updated 4 years ago
- Official implementation for "Minimax Active Learning" in PyTorch.☆9Updated 4 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”☆12Updated last year
- Implementation of Kronecker Attention in Pytorch☆19Updated 4 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Updated 7 years ago
- The project is about predicting sets (of classes) from images.☆22Updated 3 years ago
- A PyTorch implementation of Proxy Anchor Loss based on CVPR 2020 paper "Proxy Anchor Loss for Deep Metric Learning"☆10Updated 4 years ago
- Unofficial Pytorch Lightning implementation of Contrastive Syn-to-Real Generalization (ICLR, 2021)☆17Updated 3 years ago
- Code of "Visualizing and Understanding Object Detecor"☆20Updated 3 years ago
- [AAAI'21] Modeling Deep Learning Based Privacy Attacks on Physical Mail☆13Updated 4 years ago
- Successfully training approximations to full-rank matrices for efficiency in deep learning.☆17Updated 4 years ago
- Various test models in WNNX format. It can view with `pip install wnetron && wnetron`☆12Updated 2 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆13Updated 5 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 6 years ago
- Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks☆18Updated 5 years ago
- [CVPR2021] Code for Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search☆9Updated 3 years ago
- ☆24Updated 3 years ago
- Self-Distillation with weighted ground-truth targets; ResNet and Kernel Ridge Regression☆18Updated 3 years ago
- Multi-Target Embodied Question Answering☆11Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- PyTorch and Tensorflow implementation for our accepted CVPR 2020 paper (Oral): An Investigation into the Stochasticity of Batch Whitenin…☆10Updated 2 years ago
- Various implementations and experimentation for deep neural network model compression☆24Updated 6 years ago
- 2nd place solution of ECCV 2020 workshop VIPriors Image Classification Challenge, https://arxiv.org/abs/2008.00261☆13Updated 3 years ago