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Aug 19, 2024 - Python
efficient-training
Here are 20 public repositories matching this topic...
[ACCV 2022] The official repository of ''COLLIDER: A Robust Training Framework for Backdoor Data''.
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Oct 25, 2022 - Python
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
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Aug 10, 2023 - Python
[ICLR 2023] Link Prediction with Non-Contrastive Learning
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Jan 13, 2023 - Python
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
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May 24, 2024 - Python
Salient Video Frames Sampling Method Using the Mean of Deep Features for Efficient Model Training (KIBME 2021)
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Apr 21, 2022 - Python
(CVPR 2022) Automated Progressive Learning for Efficient Training of Vision Transformers
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Mar 29, 2022
[NeurIPS 2020] "FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training" by Yonggan Fu, Haoran You, Yang Zhao, Yue Wang, Chaojian Li, Kailash Gopalakrishnan, Zhangyang Wang, Yingyan Lin
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Feb 13, 2022 - Python
✂️ Dataset Culling: Faster training of domain specific models with distillation ✂️ (IEEE ICIP 2019)
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Jan 31, 2020 - Python
Code for "OnlineAugment: Online Data Augmentation with Less Domain Knowledge" (ECCV 2020)
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Aug 23, 2020 - Python
[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
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Apr 5, 2023 - Jupyter Notebook
[ICLR 2021] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yining Ding, Vikas Chandra, Yingyan Lin
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Mar 2, 2024 - Python
[arXiv:2309.16669] Code release for "Training a Large Video Model on a Single Machine in a Day"
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Jul 31, 2024 - Python
1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.
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Aug 23, 2024 - Python
[ICLR 2023] "Learning to Grow Pretrained Models for Efficient Transformer Training" by Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogerio Feris, David Cox, Zhangyang Wang, Yoon Kim
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Feb 26, 2024 - Python
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
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Dec 30, 2021 - Python
PyTorch implementation of X3D models with Multigrid training.
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Oct 10, 2021 - Python
Can We Find Strong Lottery Tickets in Generative Models? - Official Code (Pytorch)
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Jul 23, 2024 - Python
Official code for our ECCV'22 paper "A Fast Knowledge Distillation Framework for Visual Recognition"
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Apr 29, 2024 - Python
Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/
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Aug 7, 2024 - Python
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