most citedPTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

cs.RO2025

AutoLoop: Fast Visual SLAM Fine-tuning through Agentic Curriculum Learning

Assaf Lahiany, Oren Gal

Current visual SLAM systems face significant challenges in balancing computational efficiency with robust loop closure handling. Traditional approaches require careful manual tunin…

cs.LG2025★ 8 cited

PTEENet: Post-Trained Early-Exit Neural Networks Augmentation for Inference Cost Optimization

Assaf Lahiany, Yehudit Aperstein

For many practical applications, a high computational cost of inference over deep network architectures might be unacceptable. A small degradation in the overall inference accuracy…