Summary of Mixture Of Experts Made Personalized: Federated Prompt Learning For Vision-language Models, by Jun Luo et al.
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Modelsby Jun Luo, Chen Chen,…
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Modelsby Jun Luo, Chen Chen,…
HSR-Enhanced Sparse Attention Accelerationby Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao SongFirst submitted…
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractionsby Kyungmin Kim, JB Lanier,…
Online Multi-modal Root Cause Analysisby Lecheng Zheng, Zhengzhang Chen, Haifeng Chen, Jingrui HeFirst submitted to…
DAG-aware Transformer for Causal Effect Estimationby Manqing Liu, David R. Bellamy, Andrew L. BeamFirst submitted…
EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretationby Milos Vukadinovic, Xiu Tang, Neal…
Training Dynamics of Transformers to Recognize Word Co-occurrence via Gradient Flow Analysisby Hongru Yang, Bhavya…
ReLU’s Revival: On the Entropic Overload in Normalization-Free Large Language Modelsby Nandan Kumar Jha, Brandon…
Fusion Matrix Prompt Enhanced Self-Attention Spatial-Temporal Interactive Traffic Forecasting Frameworkby Mu Liu, MingChen Sun YingJi…
Looped ReLU MLPs May Be All You Need as Practical Programmable Computersby Yingyu Liang, Zhizhou…