Summary of Metacognition For Unknown Situations and Environments (muse), by Rodolfo Valiente et al.
Metacognition for Unknown Situations and Environments (MUSE)by Rodolfo Valiente, Praveen K. PillyFirst submitted to arxiv…
Summary of Hf-diff: High-frequency Perceptual Loss and Distribution Matching For One-step Diffusion-based Image Super-resolution, by Shoaib Meraj Sami et al.
HF-Diff: High-Frequency Perceptual Loss and Distribution Matching for One-Step Diffusion-Based Image Super-Resolutionby Shoaib Meraj Sami,…
Summary of Cood: Concept-based Zero-shot Ood Detection, by Zhendong Liu et al.
COOD: Concept-based Zero-shot OOD Detectionby Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang…
Summary of Merlot: a Distilled Llm-based Mixture-of-experts Framework For Scalable Encrypted Traffic Classification, by Yuxuan Chen et al.
MERLOT: A Distilled LLM-based Mixture-of-Experts Framework for Scalable Encrypted Traffic Classificationby Yuxuan Chen, Rongpeng Li,…
Summary of Llmsteer: Improving Long-context Llm Inference by Steering Attention on Reused Contexts, By Zhuohan Gu et al.
LLMSteer: Improving Long-Context LLM Inference by Steering Attention on Reused Contextsby Zhuohan Gu, Jiayi Yao,…
Summary of Evaluating Llms Capabilities Towards Understanding Social Dynamics, by Anique Tahir et al.
Evaluating LLMs Capabilities Towards Understanding Social Dynamicsby Anique Tahir, Lu Cheng, Manuel Sandoval, Yasin N.…
Summary of Deriving Activation Functions Using Integration, by Allen Hao Huang et al.
Deriving Activation Functions Using Integrationby Allen Hao Huang, Imanol SchlagFirst submitted to arxiv on: 20…
Summary of Scalable Deep Metric Learning on Attributed Graphs, by Xiang Li et al.
Scalable Deep Metric Learning on Attributed Graphsby Xiang Li, Gagan Agrawal, Ruoming Jin, Rajiv RamnathFirst…
Summary of A Theory For Compressibility Of Graph Transformers For Transductive Learning, by Hamed Shirzad et al.
A Theory for Compressibility of Graph Transformers for Transductive Learningby Hamed Shirzad, Honghao Lin, Ameya…
Summary of Probably Approximately Precision and Recall Learning, by Lee Cohen et al.
Probably Approximately Precision and Recall Learningby Lee Cohen, Yishay Mansour, Shay Moran, Han ShaoFirst submitted…