Efficient Computing

Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Frequency Domain Compact 3D Convolutional Neural Networks CVPR 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 Hashing Based Answer Selection AAAI 2020 HAT: Hardware-Aware Transformers for Efficient Natural Language Processing ACL 2020 HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis AAAI 2020 High Performance Depthwise and Pointwise Convolutions on Mobile Devices AAAI 2020 High Performance Natural Language Processing EMNLP 2020 Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Inefficiency of K-FAC for Large Batch Size Training AAAI 2020 Kernel Methods Through the Roof: Handling Billions of Points Efficiently NeurIPS 2020 L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020 Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules CVPR 2020 Learning Better Lossless Compression Using Lossy Compression CVPR 2020 Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration CVPR 2020 Learning Physics-Guided Face Relighting Under Directional Light CVPR 2020 Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging CVPR 2020 Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization CVPR 2020 Long Document Ranking with Query-Directed Sparse Transformer EMNLP 2020 M-LVC: Multiple Frames Prediction for Learned Video Compression CVPR 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 MoBiNet: A Mobile Binary Network for Image Classification WACV 2020