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Efficient Computing

8,226 papers

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Papers

Exploiting Network Compressibility and Topology in Zero-Cost NAS AutoML 2023 Exploration of Efficient End-to-End ASR using Discretized Input from Self-Supervised Learning Interspeech 2023 Exploring the Relative Value of Collaborative Optimisation Pathways (Student Abstract) AAAI 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory Interspeech 2023 eZNS: An Elastic Zoned Namespace for Commodity ZNS SSDs OSDI 2023 FAA: Fine-grained Attention Alignment for Cascade Document Ranking ACL 2023 Facto-CNN: Memory-Efficient CNN Training with Low-rank Tensor Factorization and Lossy Tensor Compression ACML 2023 Fast and Accurate Binary Neural Networks Based on Depth-Width Reshaping AAAI 2023 Fast and Accurate: Video Enhancement Using Sparse Depth WACV 2023 Fast and Efficient Multilingual Self-Supervised Pre-training for Low-Resource Speech Recognition Interspeech 2023 Fast and Robust Early-Exiting Framework for Autoregressive Language Models with Synchronized Parallel Decoding EMNLP 2023 Fast Attention Over Long Sequences With Dynamic Sparse Flash Attention NeurIPS 2023 Fast Attention Requires Bounded Entries NeurIPS 2023 Fast Fluid Simulation via Dynamic Multi-Scale Gridding AAAI 2023 Fast Online Video Super-Resolution With Deformable Attention Pyramid WACV 2023 Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions COLT 2023 Fast-StrucTexT: An Efficient Hourglass Transformer with Modality-guided Dynamic Token Merge for Document Understanding IJCAI 2023 Fcaformer: Forward Cross Attention in Hybrid Vision Transformer ICCV 2023 FDViT: Improve the Hierarchical Architecture of Vision Transformer ICCV 2023 Feature Staleness Aware Incremental Learning for CTR Prediction IJCAI 2023 Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization EMNLP 2023