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hardware efficiency

15 papers

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Co-occurring keywords · papers mentioning both

model compression (10) large language model (2) filter pruning (2) efficient computing (2) neural network optimization (2) neural architecture search (2) post-training quantization (2) compact neural network (1) memory capacity (1) activation quantization (1)

Papers

AHCPTQ: Accurate and Hardware-Compatible Post-Training Quantization for Segment Anything Model ICCV 2025 LowFormer: Hardware Efficient Design for Convolutional Transformer Backbones WACV 2025 Algorithmic progress in language models NeurIPS 2024 BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization ICML 2024 Gated Slot Attention for Efficient Linear-Time Sequence Modeling NeurIPS 2024 Hundred-Kilobyte Lookup Tables for Efficient Single-Image Super-Resolution IJCAI 2024 DepthShrinker: A New Compression Paradigm Towards Boosting Real-Hardware Efficiency of Compact Neural Networks ICML 2022 Dynamic Slimmable Network CVPR 2021 Post-Training Sparsity-Aware Quantization NeurIPS 2021 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks AAAI 2020 Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering Interspeech 2020 Pruning Filter in Filter NeurIPS 2020 Towards Accurate and Reliable Energy Measurement of NLP Models EMNLP 2020 Heterogeneous Bitwidth Binarization in Convolutional Neural Networks NeurIPS 2018