1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026
Learning When to Stop: Selective Imitation Learning Under Arbitrary Dynamics Shift
Surbhi Goel, Jonathan Pei, James Wang
Behavior cloning provides strong imitation learning guarantees when training and test environments share the same dynamics. However, in many deployment settings the test environmen…
cs.CV2024★ 1 cited
QIANets: Quantum-Integrated Adaptive Networks for Reduced Latency and Improved Inference Times in CNN Models
Zhumazhan Balapanov, Vanessa Matvei, Olivia Holmberg +3
Convolutional neural networks (CNNs) have made significant advances in computer vision tasks, yet their high inference times and latency often limit real-world applicability. While…