Showing 1–20 of 23 results
/ Date/ Name
Jun 5, 2021Low Budget Active Learning via Wasserstein Distance: An Integer Programming ApproachApr 12, 2018An Ensemble Learning Framework for Model Fitting and Evaluation in Inverse Linear OptimizationNov 4, 2024Pricing and Competition for Generative AIJul 17, 2018Automated Treatment Planning in Radiation Therapy using Generative Adversarial NetworksMay 23, 2018Learning to Optimize Contextually Constrained Problems for Real-Time Decision-GenerationJun 11, 2015Convolutional Codes with Maximum Column Sum Rank for Network StreamingApr 12, 2025Minority Reports: Balancing Cost and Quality in Ground Truth Data AnnotationOct 3, 2022Optimizing Data Collection for Machine LearningJul 4, 2022How Much More Data Do I Need? Estimating Requirements for Downstream TasksFeb 10, 2026Routing, Cascades, and User Choice for LLMsDec 21, 2018Knowledge-based automated planning with three-dimensional generative adversarial networksOct 31, 2019The importance of evaluating the complete automated knowledge-based planning pipelineFeb 9, 2023Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and ReweightingJun 24, 2025AdaDeDup: Adaptive Hybrid Data Pruning for Efficient Large-Scale Object Detection TrainingSep 15, 2024Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language ModelsApr 9, 2024Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?Jul 29, 2024AutoScale: Scale-Aware Data Mixing for Pre-Training LLMsApr 9, 2026Scaling-Aware Data Selection for End-to-End Autonomous Driving SystemsNov 28, 2020OpenKBP: The open-access knowledge-based planning grand challengeOct 31, 2024Uncertainty Estimation for 3D Object Detection via Evidential Learning