model compression

X3D: Expanding Architectures for Efficient Video Recognition CVPR 2020 XtremeDistil: Multi-stage Distillation for Massive Multilingual Models ACL 2020 ZeroQ: A Novel Zero Shot Quantization Framework CVPR 2020 Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video CVPR 2019 Accelerating Convolutional Neural Networks via Activation Map Compression CVPR 2019 Adaptative Inference Cost With Convolutional Neural Mixture Models ICCV 2019 Adaptive Ensemble Prediction for Deep Neural Networks based on Confidence Level AISTATS 2019 Adversarial Robustness vs. Model Compression, or Both? ICCV 2019 All You Need Is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification CVPR 2019 A Main/Subsidiary Network Framework for Simplifying Binary Neural Networks CVPR 2019 Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers IJCAI 2019 Amalgamating Knowledge towards Comprehensive Classification AAAI 2019 A Mobile Application for Sound Event Detection IJCAI 2019 Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned ACL 2019 Approximated Oracle Filter Pruning for Destructive CNN Width Optimization ICML 2019 A Tensorized Transformer for Language Modeling NeurIPS 2019 A Time Delay Neural Network with Shared Weight Self-Attention for Small-Footprint Keyword Spotting Interspeech 2019 AutoAssist: A Framework to Accelerate Training of Deep Neural Networks NeurIPS 2019 Automatic Adaptation of Object Detectors to New Domains Using Self-Training CVPR 2019 AutoPrune: Automatic Network Pruning by Regularizing Auxiliary Parameters NeurIPS 2019 Auto-Sizing the Transformer Network: Improving Speed, Efficiency, and Performance for Low-Resource Machine Translation EMNLP 2019 Balanced Sparsity for Efficient DNN Inference on GPU AAAI 2019 BAM! Born-Again Multi-Task Networks for Natural Language Understanding ACL 2019 Band-limited Training and Inference for Convolutional Neural Networks ICML 2019 Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation ICCV 2019