GitHub - laiyurui/ConditionalComputation: A repository for conditional computation

About

A repository for conditional computation

Activity

1 star

2 watching

0 forks

Report repository

Navigation Menu

About

Releases

Packages

Contributors

Name		Name	Last commit message	Last commit date
2013_Estimating or Propagating Gradients Through.pdf		2013_Estimating or Propagating Gradients Through.pdf
2014_Exponentially Increasing the Capacity to Computation ratio for conditional computation.pdf		2014_Exponentially Increasing the Capacity to Computation ratio for conditional computation.pdf
2014_Low-Rank Approximations for Conditional.pdf		2014_Low-Rank Approximations for Conditional.pdf
2016_1_CONDITIONAL COMPUTATION IN NEURAL NETWORKS.pdf		2016_1_CONDITIONAL COMPUTATION IN NEURAL NETWORKS.pdf
2016_Noisy Activation Functions.pdf		2016_Noisy Activation Functions.pdf
2017_RAN.pdf		2017_RAN.pdf
2017_Squeeze-and-Excitation Networks.pdf		2017_Squeeze-and-Excitation Networks.pdf
2017_THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER.pdf		2017_THE SPARSELY-GATED MIXTURE-OF-EXPERTS LAYER.pdf
2017_runtime-neural-pruning.pdf		2017_runtime-neural-pruning.pdf
2018_Convolutional Networks with Adaptive Inference Graphs.pdf		2018_Convolutional Networks with Adaptive Inference Graphs.pdf
2018_Dynamic Deep Neural Networks Optimizing.pdf		2018_Dynamic Deep Neural Networks Optimizing.pdf
2018_Gated-Attention Architectures for Task-Oriented Language Grounding.pdf		2018_Gated-Attention Architectures for Task-Oriented Language Grounding.pdf
2018_You Look Twice GaterNet for Dynamic Filter Selection in CNNs.pdf		2018_You Look Twice GaterNet for Dynamic Filter Selection in CNNs.pdf
2019_ARL.pdf		2019_ARL.pdf
2019_An end-to-end approach for speeding up neural network inference.pdf		2019_An end-to-end approach for speeding up neural network inference.pdf
2019_CondConv Conditionally Parameterized.pdf		2019_CondConv Conditionally Parameterized.pdf
2019_Conditional Computation for Continual Learning.pdf		2019_Conditional Computation for Continual Learning.pdf
2019_Deep Mixture of Experts via Shallow Embedding.pdf		2019_Deep Mixture of Experts via Shallow Embedding.pdf
2019_Dynamic Multi-path Neural Network.pdf		2019_Dynamic Multi-path Neural Network.pdf
2019_Dynamic Neural Network Decoupling.pdf		2019_Dynamic Neural Network Decoupling.pdf
2019_Feature Boosting and Suppression.pdf		2019_Feature Boosting and Suppression.pdf
2019_Improved_Techniques_for_Training_Adaptive_Deep_Networks_ICCV_2019_paper.pdf		2019_Improved_Techniques_for_Training_Adaptive_Deep_Networks_ICCV_2019_paper.pdf
2019_Learning Instance-wise Sparsity for Accelerating Deep Models.pdf		2019_Learning Instance-wise Sparsity for Accelerating Deep Models.pdf
2019_Stochastic Region Pooling.pdf		2019_Stochastic Region Pooling.pdf
2019_Training State-of-the-art CNNs with Over.pdf		2019_Training State-of-the-art CNNs with Over.pdf
2019_channel-gating-neural-networks.pdf		2019_channel-gating-neural-networks.pdf
2020_Attention over Convolution Kernels.pdf		2020_Attention over Convolution Kernels.pdf
2020_BATCH-SHAPING FOR LEARNING.pdf		2020_BATCH-SHAPING FOR LEARNING.pdf
2020_Block-wise Dynamic Sparseness.pdf		2020_Block-wise Dynamic Sparseness.pdf
2020_Boosting the Performance of CNN Accelerators with Dynamic.pdf		2020_Boosting the Performance of CNN Accelerators with Dynamic.pdf
2020_Conditional Channel Gated Networks for Task-Aware Continual Learning.pdf		2020_Conditional Channel Gated Networks for Task-Aware Continual Learning.pdf
2020_DYNAMIC CONVOLUTION FOR ACCELERATING CONVOLUTIONAL NEURAL NETWORKS.pdf		2020_DYNAMIC CONVOLUTION FOR ACCELERATING CONVOLUTIONAL NEURAL NETWORKS.pdf
2020_Exploiting Spatial Sparsity for Faster Inference.pdf		2020_Exploiting Spatial Sparsity for Faster Inference.pdf
2020_Split-Attention Networks.pdf		2020_Split-Attention Networks.pdf
2020_TimeGate Conditional Gating of Segments in Long-range Activities.pdf		2020_TimeGate Conditional Gating of Segments in Long-range Activities.pdf

Latest commit

History

Folders and files

About

Stars

Watchers

Forks

Releases

Packages

Contributors