efficient computing

XCiT: Cross-Covariance Image Transformers NeurIPS 2021 Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NeurIPS 2020 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 Analyzing Redundancy in Pretrained Transformer Models EMNLP 2020 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 APQ: Joint Search for Network Architecture, Pruning and Quantization Policy CVPR 2020 AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture AAAI 2020 Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 CARS: Continuous Evolution for Efficient Neural Architecture Search CVPR 2020 Compressing Neural Machine Translation Models with 4-bit Precision ACL 2020 Continual Adaptation for Efficient Machine Communication CoNLL 2020 DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering ACL 2020 DSNAS: Direct Neural Architecture Search Without Parameter Retraining CVPR 2020 Dual Super-Resolution Learning for Semantic Segmentation CVPR 2020 Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020 Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference CVPR 2020 EAC-Net: Efficient and Accurate Convolutional Network for Video Recognition AAAI 2020 ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks CVPR 2020 Efficient Constituency Parsing by Pointing ACL 2020 EfficientDet: Scalable and Efficient Object Detection CVPR 2020 Efficient Neural Vision Systems Based on Convolutional Image Acquisition CVPR 2020 Efficient Residual Dense Block Search for Image Super-Resolution AAAI 2020 FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020 FeatherWave: An Efficient High-Fidelity Neural Vocoder with Multi-Band Linear Prediction Interspeech 2020