Summary of Tensor Networks For Explainable Machine Learning in Cybersecurity, by Borja Aizpurua et al.
Tensor Networks for Explainable Machine Learning in Cybersecurityby Borja Aizpurua, Samuel Palmer, Roman OrusFirst submitted…
Summary of Msgnet: Learning Multi-scale Inter-series Correlations For Multivariate Time Series Forecasting, by Wanlin Cai et al.
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecastingby Wanlin Cai, Yuxuan Liang, Xianggen…
Summary of L3cube-mahasocialner: a Social Media Based Marathi Ner Dataset and Bert Models, by Harsh Chaudhari et al.
L3Cube-MahaSocialNER: A Social Media based Marathi NER Dataset and BERT modelsby Harsh Chaudhari, Anuja Patil,…
Summary of Deep Generative Symbolic Regression, by Samuel Holt et al.
Deep Generative Symbolic Regressionby Samuel Holt, Zhaozhi Qian, Mihaela van der SchaarFirst submitted to arxiv…
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…
Summary of Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory, by Arnulf Jentzen et al.
Mathematical Introduction to Deep Learning: Methods, Implementations, and Theoryby Arnulf Jentzen, Benno Kuckuck, Philippe von…
Summary of Activity Sparsity Complements Weight Sparsity For Efficient Rnn Inference, by Rishav Mukherji et al.
Activity Sparsity Complements Weight Sparsity for Efficient RNN Inferenceby Rishav Mukherji, Mark Schöne, Khaleelulla Khan…
Summary of Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks, by Hao Chen et al.
Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasksby Hao Chen, Jindong Wang,…
Summary of Masked Autoencoders Are Scalable Learners Of Cellular Morphology, by Oren Kraus et al.
Masked Autoencoders are Scalable Learners of Cellular Morphologyby Oren Kraus, Kian Kenyon-Dean, Saber Saberian, Maryam…
Summary of Non-parametric Probabilistic Time Series Forecasting Via Innovations Representation, by Xinyi Wang et al.
Non-parametric Probabilistic Time Series Forecasting via Innovations Representationby Xinyi Wang, Meijen Lee, Qing Zhao, Lang…