Summary of Ultra-imbalanced Classification Guided by Statistical Information, By Yin Jin et al.
Ultra-imbalanced classification guided by statistical informationby Yin Jin, Ningtao Wang, Ruofan Wu, Pengfei Shi, Xing…
Summary of Mixnet: Joining Force Of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery Eeg Classification, by Phairot Autthasan et al.
MixNet: Joining Force of Classical and Modern Approaches Toward the Comprehensive Pipeline in Motor Imagery…
Summary of Threat Classification on Deployed Optical Networks Using Mimo Digital Fiber Sensing, Wavelets, and Machine Learning, by Khouloud Abdelli et al.
Threat Classification on Deployed Optical Networks Using MIMO Digital Fiber Sensing, Wavelets, and Machine Learningby…
Summary of Dynamics Of Supervised and Reinforcement Learning in the Non-linear Perceptron, by Christian Schmid and James M. Murray
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptronby Christian Schmid, James M. MurrayFirst…
Summary of A Greedy Hierarchical Approach to Whole-network Filter-pruning in Cnns, by Kiran Purohit et al.
A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNsby Kiran Purohit, Anurag Reddy Parvathgari, Sourangshu…
Summary of Prediction Accuracy & Reliability: Classification and Object Localization Under Distribution Shift, by Fabian Diet et al.
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shiftby Fabian Diet, Moussa Kassem…
Summary of Limited but Consistent Gains in Adversarial Robustness by Co-training Object Recognition Models with Human Eeg, By Manshan Guo and Bhavin Choksi and Sari Sadiya and Alessandro T. Gifford and Martina G. Vilas and Radoslaw M. Cichy and Gemma Roig
Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEGby…
Summary of Bi-capacity Choquet Integral For Sensor Fusion with Label Uncertainty, by Hersh Vakharia and Xiaoxiao Du
Bi-capacity Choquet Integral for Sensor Fusion with Label Uncertaintyby Hersh Vakharia, Xiaoxiao DuFirst submitted to…
Summary of Fairquant: Certifying and Quantifying Fairness Of Deep Neural Networks, by Brian Hyeongseok Kim et al.
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networksby Brian Hyeongseok Kim, Jingbo Wang, Chao…
Summary of Preserving Empirical Probabilities in Bert For Small-sample Clinical Entity Recognition, by Abdul Rehman et al.
Preserving Empirical Probabilities in BERT for Small-sample Clinical Entity Recognitionby Abdul Rehman, Jian Jun Zhang,…