2 papers
cs.LG2026
PEARL: Unbiased Percentile Estimation via Contrastive Learning for Industrial-Scale Livestream Recommendation
Blake Gella, Wei Wu, Yuhao Yin +6
Recommender systems trained on user interaction data are susceptible to behavioral intensity imbalance--a systematic distortion arising from heterogeneous engagement patterns acros…
cs.CV2024
WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather
Blake Gella, Howard Zhang, Rishi Upadhyay +7
We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. We begin by examining existing models on images degraded by weather c…