3 papers
cs.LG2026
Demand Transfer Estimation at Scale via Restricted Logit Modeling
Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4
Item demand forecasting is an integral component of store assortment optimization. Existing literature focuses on learning a suitable customer choice model and using this model to…
cs.LG2026
LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference
Shashank Kapadia, Deep Naryan Mishra, Sujal Reddy Alugubelli +4
Layer-aligned distillation and convergence-based early exit represent two predominant computational efficiency paradigms for transformer inference; yet we establish that they exhib…
cs.CV2024
Neural Spatial-Temporal Tensor Representation for Infrared Small Target Detection
Fengyi Wu, Simin Liu, Haoan Wang +3
Optimization-based approaches dominate infrared small target detection as they leverage infrared imagery's intrinsic low-rankness and sparsity. While effective for single-frame ima…