Topic: sparse-training Goto Github
Some thing interesting about sparse-training
Some thing interesting about sparse-training
sparse-training,PyTorch Implementation of TopKAST
User: a-klass
sparse-training,Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
User: dcmocanu
Home Page: https://www.nature.com/articles/s41467-018-04316-3
sparse-training,[IJCAI 2022] "Dynamic Sparse Training for Deep Reinforcement Learning" by Ghada Sokar, Elena Mocanu , Decebal Constantin Mocanu, Mykola Pechenizkiy, and Peter Stone.
User: ghadasokar
sparse-training,Implementation for the paper "SpaceNet: Make Free Space For Continual Learning" in PyTorch.
User: ghadasokar
sparse-training,End-to-end training of sparse deep neural networks with little-to-no performance loss.
Organization: google-research
sparse-training,Code for "Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling" [ICML 2021]
Organization: igitugraz
sparse-training,[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy
User: shiweiliuiiiiiii
sparse-training,[ICML 2021] "Selfish Sparse RNN Training" by Shiwei Liu, Decebal Constantin Mocanu, Yulong Pei, Mykola Pechenizkiy
User: shiweiliuiiiiiii
sparse-training,[NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang, Zhangyang Wang
Organization: vita-group
Home Page: https://tianlong-chen.github.io/about/
sparse-training,[ICML2022] Training Your Sparse Neural Network Better with Any Mask. Ajay Jaiswal, Haoyu Ma, Tianlong Chen, ying Ding, and Zhangyang Wang
Organization: vita-group
sparse-training,[Machine Learning Journal (ECML-PKDD 2022 journal track)] A Brain-inspired Algorithm for Training Highly Sparse Neural Networks
User: zahraatashgahi
Home Page: https://arxiv.org/pdf/1903.07138.pdf
sparse-training,[TMLR] Supervised Feature Selection with Neuron Evolution in Sparse Neural Networks
User: zahraatashgahi
Home Page: https://openreview.net/forum?id=GcO6ugrLKp
sparse-training,[Machine Learning Journal (ECML-PKDD 2022 journal track)] Quick and Robust Feature Selection: the Strength of Energy-efficient Sparse Training for Autoencoders
User: zahraatashgahi
Home Page: https://arxiv.org/abs/2012.00560
sparse-training,This is the repository for the SNN-22 Workshop paper on "Generalization and Memorization in Sparse Neural Networks".
User: ziyu-deep
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