energy consumption

A First Look into the Carbon Footprint of Federated Learning JMLR 2023 EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark ICLR 2023 Energy and Carbon Considerations of Fine-Tuning BERT EMNLP 2023 Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model JMLR 2023 Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint ICCV 2023 A Holistic Assessment of the Carbon Footprint of Noor, a Very Large Arabic Language Model ACL 2022 POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging ICML 2022 The Efficiency Misnomer ICLR 2022 Adder Attention for Vision Transformer NeurIPS 2021 Evaluating the carbon footprint of NLP methods: a survey and analysis of existing tools EMNLP 2021 Flightplan: Dataplane Disaggregation and Placement for P4 Programs NSDI 2021 HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark ICLR 2021 Hyperparameter Power Impact in Transformer Language Model Training EMNLP 2021 IrEne-viz: Visualizing Energy Consumption of Transformer Models EMNLP 2021 Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots CoRL 2021 Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021 The Energy and Carbon Footprint of Training End-to-End Speech Recognizers Interspeech 2021 An Online Learning Framework for Energy-Efficient Navigation of Electric Vehicles IJCAI 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization ICLR 2020 ILFO: Adversarial Attack on Adaptive Neural Networks CVPR 2020 Learning Augmented Energy Minimization via Speed Scaling NeurIPS 2020 Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020 Overview of the SustaiNLP 2020 Shared Task EMNLP 2020 Self-Supervised Learning of Appliance Usage ICLR 2020 Energy and Policy Considerations for Deep Learning in NLP ACL 2019