efficient computing

Anycost GANs for Interactive Image Synthesis and Editing CVPR 2021 Arabic Compact Language Modelling for Resource Limited Devices EACL 2021 ArabicTransformer: Efficient Large Arabic Language Model with Funnel Transformer and ELECTRA Objective EMNLP 2021 Automated Log-Scale Quantization for Low-Cost Deep Neural Networks CVPR 2021 BASE Layers: Simplifying Training of Large, Sparse Models ICML 2021 Benchmarking a transformer-FREE model for ad-hoc retrieval EACL 2021 Binary Graph Neural Networks CVPR 2021 Broadcasted Residual Learning for Efficient Keyword Spotting Interspeech 2021 BulletTrain: Accelerating Robust Neural Network Training via Boundary Example Mining NeurIPS 2021 CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks AAAI 2021 Combiner: Full Attention Transformer with Sparse Computation Cost NeurIPS 2021 Content-Aware GAN Compression CVPR 2021 Coordinate Attention for Efficient Mobile Network Design CVPR 2021 Decoupled Dynamic Filter Networks CVPR 2021 Dynamic Region-Aware Convolution CVPR 2021 EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021 EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual CVPR 2021 Efficient 3D Video Engine Using Frame Redundancy WACV 2021 Efficient Deep Image Denoising via Class Specific Convolution AAAI 2021 Efficient Equivariant Network NeurIPS 2021 EfficientNetV2: Smaller Models and Faster Training ICML 2021 Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization NeurIPS 2021 FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021 Finetuning Pretrained Transformers into RNNs EMNLP 2021 FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021