Efficient Computing

Resource-Adaptive Federated Learning with All-In-One Neural Composition NeurIPS 2022 Resource-Efficient Hybrid X-Formers for Vision WACV 2022 Retaining Knowledge for Learning with Dynamic Definition NeurIPS 2022 Retrieval Augmented Classification for Long-Tail Visual Recognition CVPR 2022 Revisiting Locality Sensitive Hashing for Vocabulary Selection in Fast Neural Machine Translation EMNLP 2022 Revisit Kernel Pruning with Lottery Regulated Grouped Convolutions ICLR 2022 ReX: An Efficient Approach to Reducing Memory Cost in Image Classification AAAI 2022 Ripple Attention for Visual Perception with Sub-quadratic Complexity ICML 2022 Robust Pitch Estimation Using Multi-Branch CNN-LSTM and 1-Norm LP Residual Interspeech 2022 Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction IJCAI 2022 ROLLER: Fast and Efficient Tensor Compilation for Deep Learning OSDI 2022 RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer NeurIPS 2022 Saliency-Aware Neural Architecture Search NeurIPS 2022 Sample and Computation Redistribution for Efficient Face Detection ICLR 2022 Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NeurIPS 2022 Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic AAAI 2022 SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training NeurIPS 2022 SAViT: Structure-Aware Vision Transformer Pruning via Collaborative Optimization NeurIPS 2022 SC2-PCR: A Second Order Spatial Compatibility for Efficient and Robust Point Cloud Registration CVPR 2022 Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy NeurIPS 2022 Scalable Computation of Causal Bounds ICML 2022 Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation ICML 2022 Scaling Open vSwitch with a Computational Cache NSDI 2022 Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning NeurIPS 2022 Scaling Up Influence Functions AAAI 2022