Summary of Incremental Residual Concept Bottleneck Models, by Chenming Shang et al.
Incremental Residual Concept Bottleneck Modelsby Chenming Shang, Shiji Zhou, Hengyuan Zhang, Xinzhe Ni, Yujiu Yang,…
Summary of Changeanywhere: Sample Generation For Remote Sensing Change Detection Via Semantic Latent Diffusion Model, by Kai Tang and Jin Chen
ChangeAnywhere: Sample Generation for Remote Sensing Change Detection via Semantic Latent Diffusion Modelby Kai Tang,…
Summary of Single-image Driven 3d Viewpoint Training Data Augmentation For Effective Wine Label Recognition, by Yueh-cheng Huang et al.
Single-image driven 3d viewpoint training data augmentation for effective wine label recognitionby Yueh-Cheng Huang, Hsin-Yi…
Summary of Neural Sequence-to-sequence Modeling with Attention by Leveraging Deep Learning Architectures For Enhanced Contextual Understanding in Abstractive Text Summarization, By Bhavith Chandra Challagundla et al.
Neural Sequence-to-Sequence Modeling with Attention by Leveraging Deep Learning Architectures for Enhanced Contextual Understanding in…
Summary of Predictive Modelling Of Air Quality Index (aqi) Across Diverse Cities and States Of India Using Machine Learning: Investigating the Influence Of Punjab’s Stubble Burning on Aqi Variability, by Kamaljeet Kaur Sidhu et al.
Predictive Modelling of Air Quality Index (AQI) Across Diverse Cities and States of India using…
Summary of Combining Statistical Depth and Fermat Distance For Uncertainty Quantification, by Hai-vy Nguyen et al.
Combining Statistical Depth and Fermat Distance for Uncertainty Quantificationby Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi,…
Summary of Fuxi-da: a Generalized Deep Learning Data Assimilation Framework For Assimilating Satellite Observations, by Xiaoze Xu et al.
Fuxi-DA: A Generalized Deep Learning Data Assimilation Framework for Assimilating Satellite Observationsby Xiaoze Xu, Xiuyu…
Summary of Going Forward-forward in Distributed Deep Learning, by Ege Aktemur et al.
Going Forward-Forward in Distributed Deep Learningby Ege Aktemur, Ege Zorlutuna, Kaan Bilgili, Tacettin Emre Bok,…
Summary of Generating Synthetic Time Series Data For Cyber-physical Systems, by Alexander Sommers and Somayeh Bakhtiari Ramezani and Logan Cummins and Sudip Mittal and Shahram Rahimi and Maria Seale and Joseph Jaboure
Generating Synthetic Time Series Data for Cyber-Physical Systemsby Alexander Sommers, Somayeh Bakhtiari Ramezani, Logan Cummins,…
Summary of Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networks, by Matteo Tucat and Anirbit Mukherjee
Regularized Gradient Clipping Provably Trains Wide and Deep Neural Networksby Matteo Tucat, Anirbit MukherjeeFirst submitted…