Showing 1–20 of 214 results
/ Date/ Name
Sep 25, 2018Object Detection from Scratch with Deep SupervisionMay 5, 2019Towards Instance-level Image-to-Image TranslationAug 22, 2019Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data RefinementApr 11, 2024Self-supervised Dataset Distillation: A Good Compression Is All You NeedJan 3, 2022Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization SpaceJan 11, 2023Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationNov 30, 2023Dataset Distillation via Curriculum Data Synthesis in Large Data EraSep 24, 2014Do More Dropouts in Pool5 Feature Maps for Better Object DetectionAug 10, 2025SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse AnnotationsMar 13, 2025A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1Apr 14, 2026Dive into Claude Code: The Design Space of Today's and Future AI Agent SystemsDec 6, 2018MEAL: Multi-Model Ensemble via Adversarial LearningApr 1, 2021Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical StudyFeb 22, 2021Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy EvaluationAug 3, 2017DSOD: Learning Deeply Supervised Object Detectors from ScratchNov 8, 2023Beyond Size: How Gradients Shape Pruning Decisions in Large Language ModelsSep 19, 2023SlimPajama-DC: Understanding Data Combinations for LLM TrainingJul 9, 2024FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive DistillationDec 4, 2017Improving Object Detection from Scratch via Gated Feature ReuseDec 29, 2023FerKD: Surgical Label Adaptation for Efficient Distillation