Efficient Computing

Efficiently Modeling Long Sequences with Structured State Spaces ICLR 2022 Efficient Nearest Neighbor Search for Cross-Encoder Models using Matrix Factorization EMNLP 2022 Efficient Spatially Sparse Inference for Conditional GANs and Diffusion Models NeurIPS 2022 Efficient yet Competitive Speech Translation: FBK@IWSLT2022 ACL 2022 ELIC: Efficient Learned Image Compression With Unevenly Grouped Space-Channel Contextual Adaptive Coding CVPR 2022 Entropy-Driven Mixed-Precision Quantization for Deep Network Design NeurIPS 2022 EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine NeurIPS 2022 Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer AAAI 2022 Execution-based Evaluation for Data Science Code Generation Models EMNLP 2022 Exposing and Exploiting Fine-Grained Block Structures for Fast and Accurate Sparse Training NeurIPS 2022 Fast Light-Weight Near-Field Photometric Stereo CVPR 2022 Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022 Fast Nearest Neighbor Machine Translation ACL 2022 Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution AAAI 2022 Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022 FiE: Building a Global Probability Space by Leveraging Early Fusion in Encoder for Open-Domain Question Answering EMNLP 2022 Findings of the WMT 2022 Shared Task on Efficient Translation EMNLP 2022 Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NeurIPS 2022 Fine-Tuning Pre-trained Transformers into Decaying Fast Weights EMNLP 2022 FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness NeurIPS 2022 Flexible Neural Image Compression via Code Editing NeurIPS 2022 ∞-former: Infinite Memory Transformer ACL 2022 FourierNets enable the design of highly non-local optical encoders for computational imaging NeurIPS 2022 FP8 Quantization: The Power of the Exponent NeurIPS 2022 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022