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Efficient Computing

1,780 papers

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Papers

A Simple and General Binarization Method for Image Restoration Neural Networks ACML 2023 A Survey on Model Compression and Acceleration for Pretrained Language Models AAAI 2023 ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs EMNLP 2023 Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination ACL 2023 AutoGraph: Optimizing DNN Computation Graph for Parallel GPU Kernel Execution AAAI 2023 Balanced Column-Wise Block Pruning for Maximizing GPU Parallelism AAAI 2023 Better and Faster: Adaptive Event Conversion for Event-Based Object Detection AAAI 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NeurIPS 2023 Black-Box Tuning of Vision-Language Models with Effective Gradient Approximation EMNLP 2023 Boosted Dynamic Neural Networks AAAI 2023 Boosting Inference Efficiency: Unleashing the Power of Parameter-Shared Pre-trained Language Models EMNLP 2023 BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration CVPR 2023 Bypass Exponential Time Preprocessing: Fast Neural Network Training via Weight-Data Correlation Preprocessing NeurIPS 2023 CABM: Content-Aware Bit Mapping for Single Image Super-Resolution Network With Large Input CVPR 2023 CAME: Confidence-guided Adaptive Memory Efficient Optimization ACL 2023 CF-ViT: A General Coarse-to-Fine Method for Vision Transformer AAAI 2023 CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval ACL 2023 CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear Algebra NeurIPS 2023 CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023 Complexity-Guided Slimmable Decoder for Efficient Deep Video Compression CVPR 2023 Composite Slice Transformer: An Efficient Transformer with Composition of Multi-Scale Multi-Range Attentions ICLR 2023 Comprehensive and Delicate: An Efficient Transformer for Image Restoration CVPR 2023 Consonant is all you need: a compact representation of English text for efficient NLP EMNLP 2023 Content-Aware Token Sharing for Efficient Semantic Segmentation With Vision Transformers CVPR 2023 Context Quality Matters in Training Fusion-in-Decoder for Extractive Open-Domain Question Answering EMNLP 2023