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model compression

3302 papers

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MC

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knowledge distillation (3725) large language model (13587) neural network (6616) efficient computing (781) neural network optimization (1293) transfer learning (5449) convolutional neural network (4226) neural network pruning (265) language model (4599) parameter efficiency (417)

Papers

Bias Loss for Mobile Neural Networks ICCV 2021
Compressing Visual-Linguistic Model via Knowledge Distillation ICCV 2021
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing ICCV 2021
Densely Guided Knowledge Distillation Using Multiple Teacher Assistants ICCV 2021
Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better ICCV 2021
GDP: Stabilized Neural Network Pruning via Gates With Differentiable Polarization ICCV 2021
Overfitting the Data: Compact Neural Video Delivery via Content-Aware Feature Modulation ICCV 2021
Sub-Bit Neural Networks: Learning To Compress and Accelerate Binary Neural Networks ICCV 2021
Generalizable Mixed-Precision Quantization via Attribution Rank Preservation ICCV 2021
Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021
Cluster-Promoting Quantization With Bit-Drop for Minimizing Network Quantization Loss ICCV 2021
Improving Neural Network Efficiency via Post-Training Quantization With Adaptive Floating-Point ICCV 2021
Auto Graph Encoder-Decoder for Neural Network Pruning ICCV 2021
Exploring Inter-Channel Correlation for Diversity-Preserved Knowledge Distillation ICCV 2021
Once Quantization-Aware Training: High Performance Extremely Low-Bit Architecture Search ICCV 2021
Online Knowledge Distillation for Efficient Pose Estimation ICCV 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration CVPR 2021
Skip-Convolutions for Efficient Video Processing CVPR 2021
Teachers Do More Than Teach: Compressing Image-to-Image Models CVPR 2021
Binary Graph Neural Networks CVPR 2021
Amalgamating Knowledge From Heterogeneous Graph Neural Networks CVPR 2021
Manifold Regularized Dynamic Network Pruning CVPR 2021
Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021
Effective Sparsification of Neural Networks With Global Sparsity Constraint CVPR 2021
Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021