Co-occurring keywords · papers mentioning both
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