Summary of User Embedding Model For Personalized Language Prompting, by Sumanth Doddapaneni et al.
User Embedding Model for Personalized Language Promptingby Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash, Sukhdeep Sodhi,…
Summary of End-to-end Anti-backdoor Learning on Images and Time Series, by Yujing Jiang et al.
End-to-End Anti-Backdoor Learning on Images and Time Seriesby Yujing Jiang, Xingjun Ma, Sarah Monazam Erfani,…
Summary of Nonlinear Functional Regression by Functional Deep Neural Network with Kernel Embedding, By Zhongjie Shi et al.
Nonlinear functional regression by functional deep neural network with kernel embeddingby Zhongjie Shi, Jun Fan,…
Summary of Ecil-mu: Embedding Based Class Incremental Learning and Machine Unlearning, by Zhiwei Zuo et al.
eCIL-MU: Embedding based Class Incremental Learning and Machine Unlearningby Zhiwei Zuo, Zhuo Tang, Bin Wang,…
Summary of A Kolmogorov Metric Embedding For Live Cell Microscopy Signaling Patterns, by Layton Aho et al.
A Kolmogorov metric embedding for live cell microscopy signaling patternsby Layton Aho, Mark Winter, Marc…
Summary of Switchtab: Switched Autoencoders Are Effective Tabular Learners, by Jing Wu et al.
SwitchTab: Switched Autoencoders Are Effective Tabular Learnersby Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov,…
Summary of Point Cloud Classification Via Deep Set Linearized Optimal Transport, by Scott Mahan et al.
Point Cloud Classification via Deep Set Linearized Optimal Transportby Scott Mahan, Caroline Moosmüller, Alexander CloningerFirst…
Summary of Scalable Manifold Learning by Uniform Landmark Sampling and Constrained Locally Linear Embedding, By Dehua Peng et al.
Scalable manifold learning by uniform landmark sampling and constrained locally linear embeddingby Dehua Peng, Zhipeng…
Summary of An Analysis Of Embedding Layers and Similarity Scores Using Siamese Neural Networks, by Yash Bingi and Yiqiao Yin
An Analysis of Embedding Layers and Similarity Scores using Siamese Neural Networksby Yash Bingi, Yiqiao…
Summary of A Maritime Industry Experience For Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight Interpretable Models, by Mahshid Helali Moghadam et al.
A Maritime Industry Experience for Vessel Operational Anomaly Detection: Utilizing Deep Learning Augmented with Lightweight…