Summary of A Survey Of Deep Learning For Group-level Emotion Recognition, by Xiaohua Huang et al.
A Survey of Deep Learning for Group-level Emotion Recognitionby Xiaohua Huang, Jinke Xu, Wenming Zheng,…
Summary of On the Effectiveness Of Smartphone Imu Sensors and Deep Learning in the Detection Of Cardiorespiratory Conditions, by Lorenzo Simone et al.
On the effectiveness of smartphone IMU sensors and Deep Learning in the detection of cardiorespiratory…
Summary of A Comprehensive Benchmark Of Machine and Deep Learning Across Diverse Tabular Datasets, by Assaf Shmuel et al.
A Comprehensive Benchmark of Machine and Deep Learning Across Diverse Tabular Datasetsby Assaf Shmuel, Oren…
Summary of From Rule-based Models to Deep Learning Transformers Architectures For Natural Language Processing and Sign Language Translation Systems: Survey, Taxonomy and Performance Evaluation, by Nada Shahin and Leila Ismail
From Rule-Based Models to Deep Learning Transformers Architectures for Natural Language Processing and Sign Language…
Summary of From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Models, by Kaylee Chhua et al.
From Bias to Balance: Detecting Facial Expression Recognition Biases in Large Multimodal Foundation Modelsby Kaylee…
Summary of Adversarial Attacks and Defenses in Multivariate Time-series Forecasting For Smart and Connected Infrastructures, by Pooja Krishan et al.
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructuresby Pooja Krishan,…
Summary of Hybrid Deep Convolutional Neural Networks Combined with Autoencoders and Augmented Data to Predict the Look-up Table 2006, by Messaoud Djeddou et al.
Hybrid Deep Convolutional Neural Networks Combined with Autoencoders And Augmented Data To Predict The Look-Up…
Summary of Can Optimization Trajectories Explain Multi-task Transfer?, by David Mueller et al.
Can Optimization Trajectories Explain Multi-Task Transfer?by David Mueller, Mark Dredze, Nicholas AndrewsFirst submitted to arxiv…
Summary of Learning Differentially Private Diffusion Models Via Stochastic Adversarial Distillation, by Bochao Liu et al.
Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillationby Bochao Liu, Pengju Wang, Shiming GeFirst…
Summary of Training-free Time-series Anomaly Detection: Leveraging Image Foundation Models, by Nobuo Namura et al.
Training-Free Time-Series Anomaly Detection: Leveraging Image Foundation Modelsby Nobuo Namura, Yuma IchikawaFirst submitted to arxiv…