Co-occurring keywords · papers mentioning both
Papers
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile Health
Interspeech 2023
Membrane Potential Batch Normalization for Spiking Neural Networks
ICCV 2023
Predictive Exit: Prediction of Fine-Grained Early Exits for Computation- and Energy-Efficient Inference
AAAI 2023
Rubik's Optical Neural Networks: Multi-task Learning with Physics-aware Rotation Architecture
IJCAI 2023
Spike-driven Transformer
NeurIPS 2023
Spiking PointNet: Spiking Neural Networks for Point Clouds
NeurIPS 2023
Towards Two-point Neuron-inspired Energy-efficient Multimodal Open Master Hearing Aid
Interspeech 2023
Training a General Spiking Neural Network with Improved Efficiency and Minimum Latency
ACML 2023
Winning Both the Accuracy of Floating Point Activation and the Simplicity of Integer Arithmetic
ICLR 2023
Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training
NSDI 2023
A Hardware Perspective to Evaluating Probabilistic Circuits
PGM 2022
Attention Mechanism with Energy-Friendly Operations
ACL 2022
AutoSNN: Towards Energy-Efficient Spiking Neural Networks
ICML 2022
Characterizing the Efficiency vs. Accuracy Trade-off for Long-Context NLP Models
ACL 2022
Deep residual spiking neural network for keyword spotting in low-resource settings
Interspeech 2022
Differentiable hierarchical and surrogate gradient search for spiking neural networks
NeurIPS 2022
EcoFormer: Energy-Saving Attention with Linear Complexity
NeurIPS 2022
Efficient and Accurate Conversion of Spiking Neural Network with Burst Spikes
IJCAI 2022
Great Power, Great Responsibility: Recommendations for Reducing Energy for Training Language Models
NAACL 2022
Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter
AAAI 2022
NETWORK INSENSITIVITY TO PARAMETER NOISE VIA PARAMETER ATTACK DURING TRAINING
ICLR 2022
POET: Training Neural Networks on Tiny Devices with Integrated Rematerialization and Paging
ICML 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks
AAAI 2022
RDC: Energy-Efficient Data Center Network Congestion Relief with Topological Reconfigurability at the Edge
NSDI 2022
Redistribution of Weights and Activations for AdderNet Quantization
NeurIPS 2022