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Model Compression

1,718 papers

Papers per year

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128
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Papers

Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021
Structural Knowledge Distillation: Tractably Distilling Information for Structured Predictor ACL 2021
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation ACL 2021
Weight Distillation: Transferring the Knowledge in Neural Network Parameters ACL 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021
Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains ACL 2021
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators ACL 2021
An Overview of Uncertainty Calibration for Text Classification and the Role of Distillation ACL 2021
Direction is what you need: Improving Word Embedding Compression in Large Language Models ACL 2021
RankDistil: Knowledge Distillation for Ranking AISTATS 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration CVPR 2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021
Network Quantization With Element-Wise Gradient Scaling CVPR 2021
Dynamic Slimmable Network CVPR 2021
QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021
Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework CVPR 2021
ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic CVPR 2021
Diverse Branch Block: Building a Convolution as an Inception-Like Unit CVPR 2021
Slimmable Compressive Autoencoders for Practical Neural Image Compression CVPR 2021
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021
Dynamic Domain Adaptation for Efficient Inference CVPR 2021
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search CVPR 2021