Summary of Fast Inference with Kronecker-sparse Matrices, by Antoine Gonon et al.
Fast inference with Kronecker-sparse matricesby Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung LeFirst submitted to…
Summary of Detail: Task Demonstration Attribution For Interpretable In-context Learning, by Zijian Zhou et al.
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learningby Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok…
Summary of In-context Time Series Predictor, by Jiecheng Lu et al.
In-context Time Series Predictorby Jiecheng Lu, Yan Sun, Shihao YangFirst submitted to arxiv on: 23…
Summary of Linking In-context Learning in Transformers to Human Episodic Memory, by Li Ji-an et al.
Linking In-context Learning in Transformers to Human Episodic Memoryby Li Ji-An, Corey Y. Zhou, Marcus…
Summary of Recurrent Early Exits For Federated Learning with Heterogeneous Clients, by Royson Lee et al.
Recurrent Early Exits for Federated Learning with Heterogeneous Clientsby Royson Lee, Javier Fernandez-Marques, Shell Xu…
Summary of Terdit: Ternary Diffusion Models with Transformers, by Xudong Lu et al.
TerDiT: Ternary Diffusion Models with Transformersby Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui…
Summary of Visual Echoes: a Simple Unified Transformer For Audio-visual Generation, by Shiqi Yang et al.
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generationby Shiqi Yang, Zhi Zhong, Mengjie Zhao,…
Summary of Shapeformer: Shapelet Transformer For Multivariate Time Series Classification, by Xuan-may Le et al.
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classificationby Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan…
Summary of Segformer++: Efficient Token-merging Strategies For High-resolution Semantic Segmentation, by Daniel Kienzle et al.
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentationby Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer…
Summary of Dynamic Mixture Of Experts: An Auto-tuning Approach For Efficient Transformer Models, by Yongxin Guo et al.
Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Modelsby Yongxin Guo, Zhenglin Cheng,…