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energy efficiency

166 papers

Papers

Spiking Graph Convolutional Networks IJCAI 2022 Towards Climate Awareness in NLP Research EMNLP 2022 Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation CVPR 2022 Training Spiking Neural Networks with Local Tandem Learning NeurIPS 2022 AdderSR: Towards Energy Efficient Image Super-Resolution CVPR 2021 An Empirical Study of Adder Neural Networks for Object Detection NeurIPS 2021 Anytime Depth Estimation with Limited Sensing and Computation Capabilities on Mobile Devices CoRL 2021 Fast and Efficient Locomotion via Learned Gait Transitions CoRL 2021 Handling Long-tailed Feature Distribution in AdderNets NeurIPS 2021 Hardware-Aware Neural Architecture Search: Survey and Taxonomy IJCAI 2021 HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing EACL 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021 Optimal ANN-SNN Conversion for Fast and Accurate Inference in Deep Spiking Neural Networks IJCAI 2021 SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam ICCV 2021 Shrinking Bigfoot: Reducing wav2vec 2.0 footprint EMNLP 2021 Sparse Spiking Gradient Descent NeurIPS 2021 Spike-Thrift: Towards Energy-Efficient Deep Spiking Neural Networks by Limiting Spiking Activity via Attention-Guided Compression WACV 2021 Winograd Algorithm for AdderNet ICML 2021 Deep Spiking Delayed Feedback Reservoirs and Its Application in Spectrum Sensing of MIMO-OFDM Dynamic Spectrum Sharing AAAI 2020 Efficient Neural Vision Systems Based on Convolutional Image Acquisition CVPR 2020 Learning a Contact-Adaptive Controller for Robust, Efficient Legged Locomotion CoRL 2020 Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020 Spiking-YOLO: Spiking Neural Network for Energy-Efficient Object Detection AAAI 2020 Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning JMLR 2020