conftrace_

energy efficiency

138 papers

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Co-occurring keywords

spiking neural network (331) model compression (3302) neuromorphic computing (95) neural network optimization (1293) convolutional neural network (4226) edge computing (210) object detection (2762) image classification (1944) reinforcement learning (4352) energy consumption (37)

Papers

SpikeRain: Towards Energy-Efficient Single Image Deraining with Spiking Neural Networks WACV 2026
Benchmarking the Energy Savings with Speculative Decoding Strategies EACL 2026
LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models AAAI 2026
SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration AAAI 2026
HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference AAAI 2026
Polymorph: Energy-Efficient Multi-Label Classification for Video Streams on Embedded Devices WACV 2026
Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution AAAI 2026
Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks AAAI 2026
Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors AAAI 2026
Are Large Language Models Economically Viable for Industry Deployment? ACL 2026
HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration AAAI 2026
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet WACV 2026
Parallel Training Time-to-First-Spike Spiking Neural Networks AAAI 2026
Exploring Salient Object Detection with Adder Neural Networks AAAI 2025
Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing IJCAI 2025
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS AAAI 2025
Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications CVPR 2025
Towards Sustainable NLP: Insights from Benchmarking Inference Energy in Large Language Models NAACL 2025
ILIF: Temporal Inhibitory Leaky Integrate-and-Fire Neuron for Overactivation in Spiking Neural Networks IJCAI 2025
Energy Considerations of Large Language Model Inference and Efficiency Optimizations ACL 2025
SpiLiFormer: Enhancing Spiking Transformers with Lateral Inhibition ICCV 2025
GREEN: Carbon-efficient Resource Scheduling for Machine Learning Clusters NSDI 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing AAAI 2025
Decision SpikeFormer: Spike-Driven Transformer for Decision Making CVPR 2025
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models AAAI 2025