Issues

• [WIP]CDFI: Compression-Driven Network Design for Frame Interpolation

  CompML/survey-model-compression#38 · Filter by author ryoherisson opened on Jun 18, 2021
  

• [WIP]Complementary Relation Contrastive Distillation

  knowledge distillation
  CompML/survey-model-compression#37 · Filter by author ryoherisson opened on Jun 17, 2021
  

• Learnable Companding Quantization for Accurate Low-bit Neural Networks

  network quantization
  CompML/survey-model-compression#36 · Filter by author ryoherisson opened on Jun 16, 2021
  

• Diversifying Sample Generation for Accurate Data-Free Quantization

  data-freenetwork quantization
  CompML/survey-model-compression#35 · Filter by author ryoherisson opened on Jun 16, 2021
  

• Zero-shot Adversarial Quantization

  data-freenetwork quantization
  CompML/survey-model-compression#34 · Filter by author ryoherisson opened on Jun 11, 2021
  

• Network Quantization with Element-wise Gradient Scaling

  network quantization
  CompML/survey-model-compression#33 · Filter by author ryoherisson opened on Jun 10, 2021
  

• [WIP]Fast and Accurate Model Scaling

  CompML/survey-model-compression#32 · Filter by author ryoherisson opened on Jun 10, 2021
  

• Towards Compact CNNs via Collaborative Compression

  network pruningtensor decomposition
  CompML/survey-model-compression#31 · Filter by author ryoherisson opened on Jun 9, 2021
  

• Dynamic Slimmable Network

  network pruning
  CompML/survey-model-compression#30 · Filter by author ryoherisson opened on Jun 3, 2021
  

• Manifold Regularized Dynamic Network Pruning

  network pruning
  CompML/survey-model-compression#29 · Filter by author ryoherisson opened on Jun 3, 2021
  

• ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network

  representation bottleneck
  CompML/survey-model-compression#28 · Filter by author ryoherisson opened on Jun 3, 2021
  

• RepVGG: Making VGG-style ConvNets Great Again

  structural re-parameterization
  CompML/survey-model-compression#27 · Filter by author ryoherisson opened on Jun 3, 2021
  

• Distilling Knowledge via Knowledge Review

  knowledge distillation
  CompML/survey-model-compression#26 · Filter by author nocotan opened on Jun 3, 2021
  

• AMC: AutoML for Model Compression and Acceleration on Mobile Devices

  network pruning
  CompML/survey-model-compression#22 · Filter by author nocotan opened on Feb 17, 2021
  

• Channel Pruning via Automatic Structure Search

  network pruning
  CompML/survey-model-compression#20 · Filter by author nocotan opened on Feb 17, 2021
  

• Autopruner: An end-to-end trainable filter pruning method for efficient deep model inference

  network pruning
  CompML/survey-model-compression#18 · Filter by author nocotan opened on Feb 17, 2021
  

• Importance Estimation for Neural Network Pruning

  network pruning
  CompML/survey-model-compression#16 · Filter by author nocotan opened on Feb 16, 2021
  

• ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression

  network pruning
  CompML/survey-model-compression#15 · Filter by author ryoherisson opened on Feb 2, 2021
  

• Neuron Merging: Compensating for Pruned Neurons

  network pruning
  CompML/survey-model-compression#14 · Filter by author ryoherisson opened on Jan 29, 2021
  

• Learning Efficient Convolutional Networks through Network Slimming

  network pruning
  CompML/survey-model-compression#13 · Filter by author ryoherisson opened on Jan 28, 2021
  

• SNIP: Single-shot Network Pruning based on Connection Sensitivity

  network pruning
  CompML/survey-model-compression#12 · Filter by author ryoherisson opened on Jan 28, 2021
  

• Variational Dropout Sparsifies Deep Neural Networks

  network pruning
  CompML/survey-model-compression#11 · Filter by author ryoherisson opened on Jan 28, 2021
  

• The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

  network pruning
  CompML/survey-model-compression#10 · Filter by author ryoherisson opened on Jan 27, 2021
  

• Rethinking the Value of Network Pruning

  network pruning
  CompML/survey-model-compression#9 · Filter by author ryoherisson opened on Jan 27, 2021
  

• To prune, or not to prune: exploring the efficacy of pruning for model compression

  network pruning
  CompML/survey-model-compression#8 · Filter by author ryoherisson opened on Jan 27, 2021