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Poster
Thu 16:30 Selective Attention: Enhancing Transformer through Principled Context Control
Xuechen Zhang · Xiangyu Chang · Mingchen Li · Amit Roy-Chowdhury · Jiasi Chen · Samet Oymak
Poster
Wed 11:00 Understanding the Differences in Foundation Models: Attention, State Space Models, and Recurrent Neural Networks
Jerome Sieber · Carmen Amo Alonso · Alexandre Didier · Melanie Zeilinger · Antonio Orvieto
Poster
Fri 16:30 FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi · Sos Agaian · Youngjun Cho
Poster
Wed 16:30 Unraveling the Gradient Descent Dynamics of Transformers
Bingqing Song · Boran Han · Shuai Zhang · Jie Ding · Mingyi Hong
Poster
Thu 11:00 SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
Robert Csordas · Piotr Piękos · Kazuki Irie · Jürgen Schmidhuber
Poster
Fri 11:00 Cluster-Learngene: Inheriting Adaptive Clusters for Vision Transformers
Qiufeng Wang · Xu Yang · Fu Feng · Jingq Wang · Xin Geng
Poster
Thu 11:00 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
Liam Collins · Advait Parulekar · Aryan Mokhtari · Sujay Sanghavi · Sanjay Shakkottai
Poster
Faster Neighborhood Attention: Reducing the O(n^2) Cost of Self Attention at the Threadblock Level
Ali Hassani · Wen-Mei Hwu · Humphrey Shi
Poster
Fri 16:30 Parallelizing Linear Transformers with the Delta Rule over Sequence Length
Songlin Yang · Bailin Wang · Yu Zhang · Yikang Shen · Yoon Kim
Poster
Fri 11:00 An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models
Yunzhe Hu · Difan Zou · Dong Xu
Workshop
Optimizing Attention with Mirror Descent: Generalized Max-Margin Token Selection
Aaron Alvarado Kristanto Julistiono · Davoud Ataee Tarzanagh · Navid Azizan
Poster
Fri 11:00 Real-time Core-Periphery Guided ViT with Smart Data Layout Selection on Mobile Devices
Zhihao Shu · Xiaowei Yu · Zihao Wu · Wenqi Jia · Yinchen Shi · Miao Yin · Tianming Liu · Dajiang Zhu · Wei Niu