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Model Compression

1674 directly classified papers

Papers per year

Papers

IA-RED$^2$: Interpretability-Aware Redundancy Reduction for Vision Transformers NIPS 2021
Learning Frequency Domain Approximation for Binary Neural Networks NIPS 2021
Scaling Up Exact Neural Network Compression by ReLU Stability NIPS 2021
Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner CVPR 2021
AQD: Towards Accurate Quantized Object Detection CVPR 2021
Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021
Towards Compact CNNs via Collaborative Compression CVPR 2021
Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution CVPR 2021
Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources CVPR 2021
CDFI: Compression-Driven Network Design for Frame Interpolation CVPR 2021
Block Pruning For Faster Transformers EMNLP 2021
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021
Disentangling Representations of Text by Masking Transformers EMNLP 2021
Learning Compact Metrics for MT EMNLP 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021
On the Predictability of Pruning Across Scales ICML 2021
Interpreting and Disentangling Feature Components of Various Complexity from DNNs ICML 2021
AutoLR: Layer-wise Pruning and Auto-tuning of Learning Rates in Fine-tuning of Deep Networks AAAI 2021
Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset ICML 2021
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture ICML 2021
BASE Layers: Simplifying Training of Large, Sparse Models ICML 2021
DPFPS: Dynamic and Progressive Filter Pruning for Compressing Convolutional Neural Networks from Scratch AAAI 2021
Teacher Guided Neural Architecture Search for Face Recognition AAAI 2021
LassoNet: A Neural Network with Feature Sparsity JMLR 2021