Model Compression

Pruning Neural Machine Translation for Speed Using Group Lasso EMNLP 2021 Pruning of Deep Spiking Neural Networks through Gradient Rewiring IJCAI 2021 QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks CVPR 2021 Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning EMNLP 2021 RaScaNet: Learning Tiny Models by Raster-Scanning Images CVPR 2021 RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks NeurIPS 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021 Revisiting Knowledge Distillation: An Inheritance and Exploration Framework CVPR 2021 ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021 RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices AAAI 2021 SA-BNN: State-Aware Binary Neural Network AAAI 2021 SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Scaled-YOLOv4: Scaling Cross Stage Partial Network CVPR 2021 Scaling Local Self-Attention for Parameter Efficient Visual Backbones CVPR 2021 Scaling Up Exact Neural Network Compression by ReLU Stability NeurIPS 2021 Shallow-UWnet: Compressed Model for Underwater Image Enhancement (Student Abstract) AAAI 2021 Skip-Convolutions for Efficient Video Processing CVPR 2021 Slimmable Generative Adversarial Networks AAAI 2021 Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation NeurIPS 2021 Sparse Flows: Pruning Continuous-depth Models NeurIPS 2021 Sparse Training via Boosting Pruning Plasticity with Neuroregeneration NeurIPS 2021 Sparsity Aware Normalization for GANs AAAI 2021 Spectral Tensor Train Parameterization of Deep Learning Layers AISTATS 2021 Step-Ahead Error Feedback for Distributed Training with Compressed Gradient AAAI 2021