Summary of Active Learning to Guide Labeling Efforts For Question Difficulty Estimation, by Arthur Thuy et al.
Active Learning to Guide Labeling Efforts for Question Difficulty Estimationby Arthur Thuy, Ekaterina Loginova, Dries…
Summary of Turbo Your Multi-modal Classification with Contrastive Learning, by Zhiyu Zhang and Da Liu and Shengqiang Liu and Anna Wang and Jie Gao and Yali Li
Turbo your multi-modal classification with contrastive learningby Zhiyu Zhang, Da Liu, Shengqiang Liu, Anna Wang,…
Summary of Y-drop: a Conductance Based Dropout For Fully Connected Layers, by Efthymios Georgiou et al.
Y-Drop: A Conductance based Dropout for fully connected layersby Efthymios Georgiou, Georgios Paraskevopoulos, Alexandros PotamianosFirst…
Summary of The Role Of Deep Learning Regularizations on Actors in Offline Rl, by Denis Tarasov et al.
The Role of Deep Learning Regularizations on Actors in Offline RLby Denis Tarasov, Anja Surina,…
Summary of Asymptotics Of Stochastic Gradient Descent with Dropout Regularization in Linear Models, by Jiaqi Li et al.
Asymptotics of Stochastic Gradient Descent with Dropout Regularization in Linear Modelsby Jiaqi Li, Johannes Schmidt-Hieber,…
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 Ensloss: Stochastic Calibrated Loss Ensembles For Preventing Overfitting in Classification, by Ben Dai
EnsLoss: Stochastic Calibrated Loss Ensembles for Preventing Overfitting in Classificationby Ben DaiFirst submitted to arxiv…
Summary of Study Of Dropout in Pointpillars with 3d Object Detection, by Xiaoxiang Sun et al.
Study of Dropout in PointPillars with 3D Object Detectionby Xiaoxiang Sun, Geoffrey FoxFirst submitted to…
Summary of Deep Learning to Predict Late-onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (shgs) Strategy For Meta Tuning Concerning Deep Feed-forward Neural Network, by Yijun Zhou et al.
Deep Learning to Predict Late-Onset Breast Cancer Metastasis: the Single Hyperparameter Grid Search (SHGS) Strategy…
Summary of Revisiting Dnn Training For Intermittently-powered Energy-harvesting Micro-computers, by Cyan Subhra Mishra et al.
Revisiting DNN Training for Intermittently-Powered Energy-Harvesting Micro-Computersby Cyan Subhra Mishra, Deeksha Chaudhary, Jack Sampson, Mahmut…