Summary of Radiov2.5: Improved Baselines For Agglomerative Vision Foundation Models, by Greg Heinrich et al.
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Modelsby Greg Heinrich, Mike Ranzinger, Hongxu, Yao Lu,…
Summary of Umspu: Universal Multi-size Phase Unwrapping Via Mutual Self-distillation and Adaptive Boosting Ensemble Segmenters, by Lintong Du et al.
UMSPU: Universal Multi-Size Phase Unwrapping via Mutual Self-Distillation and Adaptive Boosting Ensemble Segmentersby Lintong Du,…
Summary of Diffusion-augmented Coreset Expansion For Scalable Dataset Distillation, by Ali Abbasi et al.
Diffusion-Augmented Coreset Expansion for Scalable Dataset Distillationby Ali Abbasi, Shima Imani, Chenyang An, Gayathri Mahalingam,…
Summary of Federated Progressive Self-distillation with Logits Calibration For Personalized Iiot Edge Intelligence, by Yingchao Wang and Wenqi Niu
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligenceby Yingchao Wang, Wenqi NiuFirst…
Summary of Svgdreamer++: Advancing Editability and Diversity in Text-guided Svg Generation, by Ximing Xing et al.
SVGDreamer++: Advancing Editability and Diversity in Text-Guided SVG Generationby Ximing Xing, Qian Yu, Chuang Wang,…
Summary of O1 Replication Journey — Part 2: Surpassing O1-preview Through Simple Distillation, Big Progress or Bitter Lesson?, by Zhen Huang et al.
O1 Replication Journey – Part 2: Surpassing O1-preview through Simple Distillation, Big Progress or Bitter…
Summary of When Babies Teach Babies: Can Student Knowledge Sharing Outperform Teacher-guided Distillation on Small Datasets?, by Srikrishna Iyer
When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?by Srikrishna…
Summary of Adversarial Prompt Distillation For Vision-language Models, by Lin Luo et al.
Adversarial Prompt Distillation for Vision-Language Modelsby Lin Luo, Xin Wang, Bojia Zi, Shihao Zhao, Xingjun…
Summary of Improving Mathematical Reasoning Capabilities Of Small Language Models Via Feedback-driven Distillation, by Xunyu Zhu et al.
Improving Mathematical Reasoning Capabilities of Small Language Models via Feedback-Driven Distillationby Xunyu Zhu, Jian Li,…
Summary of Bi-mamba: Towards Accurate 1-bit State Space Models, by Shengkun Tang and Liqun Ma and Haonan Li and Mingjie Sun and Zhiqiang Shen
Bi-Mamba: Towards Accurate 1-Bit State Space Modelsby Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun,…