Efficient Computing

Comparing the Performance of CNNs and Shallow Models for Language Identification EACL 2021 Compatibility-Aware Heterogeneous Visual Search CVPR 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 CondenseNet V2: Sparse Feature Reactivation for Deep Networks CVPR 2021 Consistent Accelerated Inference via Confident Adaptive Transformers EMNLP 2021 Controlling the Rain: From Removal to Rendering CVPR 2021 Cooperative SGD: A Unified Framework for the Design and Analysis of Local-Update SGD Algorithms JMLR 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021 Cost-effective End-to-end Information Extraction for Semi-structured Document Images EMNLP 2021 CountSketches, Feature Hashing and the Median of Three ICML 2021 CPT: Efficient Deep Neural Network Training via Cyclic Precision ICLR 2021 DACBench: A Benchmark Library for Dynamic Algorithm Configuration IJCAI 2021 Dataset Condensation with Differentiable Siamese Augmentation ICML 2021 Data Sharing and Compression for Cooperative Networked Control NeurIPS 2021 DDSAS: Dynamic and Differentiable Space-Architecture Search ACML 2021 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021 Decoupled Dynamic Filter Networks CVPR 2021 Deep Homography for Efficient Stereo Image Compression CVPR 2021 Deep Learning for Click-Through Rate Estimation IJCAI 2021 Deep Learning on a Data Diet: Finding Important Examples Early in Training NeurIPS 2021 Deeplite NeutrinoTM: A BlackBox Framework for Constrained Deep Learning Model Optimization AAAI 2021 DeepMark++: Real-Time Clothing Detection at the Edge WACV 2021 DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning NeurIPS 2021