Summary of Gtagcn: Generalized Topology Adaptive Graph Convolutional Networks, by Sukhdeep Singh et al.
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networksby Sukhdeep Singh, Anuj Sharma, Vinod Kumar ChauhanFirst submitted…
Summary of Transition Graph Properties Of Target Class Classification, by Levon Aslanyan et al.
Transition Graph Properties of Target Class Classificationby Levon Aslanyan, Hasmik SahakyanFirst submitted to arxiv on:…
Summary of Web-based Melanoma Detection, by Sanghyuk Kim et al.
Web-based Melanoma Detectionby SangHyuk Kim, Edward Gaibor, Daniel HaehnFirst submitted to arxiv on: 22 Mar…
Summary of Foundation Models For Time Series Analysis: a Tutorial and Survey, by Yuxuan Liang et al.
Foundation Models for Time Series Analysis: A Tutorial and Surveyby Yuxuan Liang, Haomin Wen, Yuqi…
Summary of Improving Robustness to Model Inversion Attacks Via Sparse Coding Architectures, by Sayanton V. Dibbo et al.
Improving Robustness to Model Inversion Attacks via Sparse Coding Architecturesby Sayanton V. Dibbo, Adam Breuer,…
Summary of Vidla: Video-language Alignment at Scale, by Mamshad Nayeem Rizve et al.
VidLA: Video-Language Alignment at Scaleby Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan, Son Tran, Benjamin…
Summary of Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix It, by Guoxuan Xia et al.
Towards Understanding Why Label Smoothing Degrades Selective Classification and How to Fix Itby Guoxuan Xia,…
Summary of Tensor Network Compressibility Of Convolutional Models, by Sukhbinder Singh et al.
Tensor network compressibility of convolutional modelsby Sukhbinder Singh, Saeed S. Jahromi, Roman OrusFirst submitted to…
Summary of Layoutllm: Large Language Model Instruction Tuning For Visually Rich Document Understanding, by Masato Fujitake
LayoutLLM: Large Language Model Instruction Tuning for Visually Rich Document Understandingby Masato FujitakeFirst submitted to…
Summary of Erd: a Framework For Improving Llm Reasoning For Cognitive Distortion Classification, by Sehee Lim et al.
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classificationby Sehee Lim, Yejin Kim,…