Efficient Computing

Accelerating Training of Transformer-Based Language Models with Progressive Layer Dropping NeurIPS 2020 Adaptive Transformers for Learning Multimodal Representations ACL 2020 AdaTune: Adaptive Tensor Program Compilation Made Efficient NeurIPS 2020 AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR 2020 A Deep Neural Network Model of Particle Thermal Radiation in Packed Bed AAAI 2020 A Multigrid Method for Efficiently Training Video Models CVPR 2020 A Spatial RNN Codec for End-to-End Image Compression CVPR 2020 A Streaming Approach For Efficient Batched Beam Search EMNLP 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors CVPR 2020 Automatic Building and Labeling of HD Maps with Deep Learning AAAI 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 BERT Loses Patience: Fast and Robust Inference with Early Exit NeurIPS 2020 BidNet: Binocular Image Dehazing Without Explicit Disparity Estimation CVPR 2020 Butterfly Transform: An Efficient FFT Based Neural Architecture Design CVPR 2020 Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting CVPR 2020 DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference ACL 2020 Deeply Learned Spectral Total Variation Decomposition NeurIPS 2020 Deep White-Balance Editing CVPR 2020 DeFINE: Deep Factorized Input Token Embeddings for Neural Sequence Modeling ICLR 2020 Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering EMNLP 2020 DSNAS: Direct Neural Architecture Search Without Parameter Retraining CVPR 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration AAAI 2020 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 Dynamic Convolution: Attention Over Convolution Kernels CVPR 2020