Turbo your multi-modal classification with contrastive learningby Zhiyu Zhang, Da Liu, Shengqiang Liu, Anna Wang,…
Active Learning to Guide Labeling Efforts for Question Difficulty Estimationby Arthur Thuy, Ekaterina Loginova, Dries…
Y-Drop: A Conductance based Dropout for fully connected layersby Efthymios Georgiou, Georgios Paraskevopoulos, Alexandros PotamianosFirst…
The Role of Deep Learning Regularizations on Actors in Offline RLby Denis Tarasov, Anja Surina,…
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Modelsby Jiaqi Li, Johannes Schmidt-Hieber,…
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shiftby Fabian Diet, Moussa Kassem…
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classificationby Ben DaiFirst submitted to arxiv…
Study of Dropout in PointPillars with 3D Object Detectionby Xiaoxiang Sun, Geoffrey FoxFirst submitted to…
Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy…
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computersby Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut…