inference acceleration

Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information AAAI 2021 Partially Non-Autoregressive Image Captioning AAAI 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks ICCV 2021 RMSMP: A Novel Deep Neural Network Quantization Framework With Row-Wise Mixed Schemes and Multiple Precisions ICCV 2021 Towards Efficient Graph Convolutional Networks for Point Cloud Handling ICCV 2021 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020 Inducing and Exploiting Activation Sparsity for Fast Inference on Deep Neural Networks ICML 2020 Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution IJCAI 2020 AutoFocus: Efficient Multi-Scale Inference ICCV 2019 IA-NET: Acceleration and Compression of Speech Enhancement Using Integer-Adder Deep Neural Network Interspeech 2019 Learning Instance-wise Sparsity for Accelerating Deep Models IJCAI 2019 Network Recasting: A Universal Method for Network Architecture Transformation AAAI 2019 SeerNet: Predicting Convolutional Neural Network Feature-Map Sparsity Through Low-Bit Quantization CVPR 2019 Accelerating Neural Transformer via an Average Attention Network ACL 2018 BlockDrop: Dynamic Inference Paths in Residual Networks CVPR 2018 Frequency-Domain Dynamic Pruning for Convolutional Neural Networks NeurIPS 2018 Recurrent Residual Module for Fast Inference in Videos CVPR 2018 Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks IJCAI 2018 More Is Less: A More Complicated Network With Less Inference Complexity CVPR 2017 Structured Transforms for Small-Footprint Deep Learning NeurIPS 2015