Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantificationby Shang Liu, Zhongze Cai,…
Fast inference with Kronecker-sparse matricesby Antoine Gonon, Léon Zheng, Pascal Carrivain, Quoc-Tung LeFirst submitted to…
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learningby Zijian Zhou, Xiaoqiang Lin, Xinyi Xu, Alok…
In-context Time Series Predictorby Jiecheng Lu, Yan Sun, Shihao YangFirst submitted to arxiv on: 23…
Linking In-context Learning in Transformers to Human Episodic Memoryby Li Ji-An, Corey Y. Zhou, Marcus…
Recurrent Early Exits for Federated Learning with Heterogeneous Clientsby Royson Lee, Javier Fernandez-Marques, Shell Xu…
TerDiT: Ternary Diffusion Models with Transformersby Xudong Lu, Aojun Zhou, Ziyi Lin, Qi Liu, Yuhui…
Visual Echoes: A Simple Unified Transformer for Audio-Visual Generationby Shiqi Yang, Zhi Zhong, Mengjie Zhao,…
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classificationby Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan…
Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentationby Daniel Kienzle, Marco Kantonis, Robin Schön, Rainer…