model compression

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation IJCAI 2021 Compatibility-Aware Heterogeneous Visual Search CVPR 2021 Comprehensive Knowledge Distillation with Causal Intervention NeurIPS 2021 Compressing 1D Time-Channel Separable Convolutions Using Sparse Random Ternary Matrices Interspeech 2021 Compressing Deep Convolutional Neural Networks by Stacking Low-dimensional Binary Convolution Filters AAAI 2021 Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition NeurIPS 2021 Compressing Visual-Linguistic Model via Knowledge Distillation ICCV 2021 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Constrained differentially private federated learning for low-bandwidth devices UAI 2021 Content-Aware GAN Compression CVPR 2021 Continual Learning for Named Entity Recognition AAAI 2021 Contributions of Transformer Attention Heads in Multi- and Cross-lingual Tasks ACL 2021 Convolutional Neural Network Pruning With Structural Redundancy Reduction CVPR 2021 Cross-Layer Distillation with Semantic Calibration AAAI 2021 CTC-based Compression for Direct Speech Translation EACL 2021 Data-Free Knowledge Distillation for Image Super-Resolution CVPR 2021 Data-Free Knowledge Distillation with Soft Targeted Transfer Set Synthesis AAAI 2021 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021 Deep Learning meets Projective Clustering ICLR 2021 Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021 deepQuest-py: Large and Distilled Models for Quality Estimation EMNLP 2021 DeepReDuce: ReLU Reduction for Fast Private Inference ICML 2021 Deformable Butterfly: A Highly Structured and Sparse Linear Transform NeurIPS 2021 DeLighT: Deep and Light-weight Transformer ICLR 2021 DEMUCS-Mobile : On-Device Lightweight Speech Enhancement Interspeech 2021