efficient computing

Non-deep Networks NeurIPS 2022 OCSampler: Compressing Videos to One Clip With Single-Step Sampling CVPR 2022 On-Device Training Under 256KB Memory NeurIPS 2022 Online Convolutional Re-Parameterization CVPR 2022 On the Locality of Attention in Direct Speech Translation ACL 2022 Orthogonal Transformer: An Efficient Vision Transformer Backbone with Token Orthogonalization NeurIPS 2022 PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022 PokeBNN: A Binary Pursuit of Lightweight Accuracy CVPR 2022 Processing Long Legal Documents with Pre-trained Transformers: Modding LegalBERT and Longformer EMNLP 2022 Quantized Training of Gradient Boosting Decision Trees NeurIPS 2022 Random matrices in service of ML footprint: ternary random features with no performance loss ICLR 2022 ReMoNet: Recurrent Multi-Output Network for Efficient Video Denoising AAAI 2022 Rethinking Resolution in the Context of Efficient Video Recognition NeurIPS 2022 ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022 RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer NeurIPS 2022 Sample and Computation Redistribution for Efficient Face Detection ICLR 2022 Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NeurIPS 2022 Scaling Up Influence Functions AAAI 2022 Searching the Deployable Convolution Neural Networks for GPUs CVPR 2022 Shrinking Temporal Attention in Transformers for Video Action Recognition AAAI 2022 ShuffleMixer: An Efficient ConvNet for Image Super-Resolution NeurIPS 2022 Sparse Mixers: Combining MoE and Mixing to build a more efficient BERT EMNLP 2022 Sparsifying Transformer Models with Trainable Representation Pooling ACL 2022 Sparsity Winning Twice: Better Robust Generalization from More Efficient Training ICLR 2022 Spatial Pruned Sparse Convolution for Efficient 3D Object Detection NeurIPS 2022