Efficient Computing

Zero-Shot Dynamic Quantization for Transformer Inference EMNLP 2022 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition CVPR 2021 3D CNNs With Adaptive Temporal Feature Resolutions CVPR 2021 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 AC-GC: Lossy Activation Compression with Guaranteed Convergence NeurIPS 2021 Adder Attention for Vision Transformer NeurIPS 2021 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021 Amata: An Annealing Mechanism for Adversarial Training Acceleration AAAI 2021 An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021 Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021 Any-Precision Deep Neural Networks AAAI 2021 Anytime Inference with Distilled Hierarchical Neural Ensembles AAAI 2021 AQD: Towards Accurate Quantized Object Detection CVPR 2021 ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021 Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021 Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021 Bag of Tricks for Optimizing Transformer Efficiency EMNLP 2021 BERT might be Overkill: A Tiny but Effective Biomedical Entity Linker based on Residual Convolutional Neural Networks EMNLP 2021 Binary Graph Neural Networks CVPR 2021 Blocking-based Neighbor Sampling for Large-scale Graph Neural Networks IJCAI 2021 BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds AAAI 2021 Bringing UMAP Closer to the Speed of Light with GPU Acceleration AAAI 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021