Summary of Deep Learning For Trajectory Data Management and Mining: a Survey and Beyond, by Wei Chen et al.
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyondby Wei Chen, Yuxuan…
Summary of Depyf: Open the Opaque Box Of Pytorch Compiler For Machine Learning Researchers, by Kaichao You et al.
depyf: Open the Opaque Box of PyTorch Compiler for Machine Learning Researchersby Kaichao You, Runsheng…
Summary of Integrating Wearable Sensor Data and Self-reported Diaries For Personalized Affect Forecasting, by Zhongqi Yang et al.
Integrating Wearable Sensor Data and Self-reported Diaries for Personalized Affect Forecastingby Zhongqi Yang, Yuning Wang,…
Summary of Interpreting Neurons in Deep Vision Networks with Language Models, by Nicholas Bai et al.
Interpreting Neurons in Deep Vision Networks with Language Modelsby Nicholas Bai, Rahul A. Iyer, Tuomas…
Summary of Have You Poisoned My Data? Defending Neural Networks Against Data Poisoning, by Fabio De Gaspari et al.
Have You Poisoned My Data? Defending Neural Networks against Data Poisoningby Fabio De Gaspari, Dorjan…
Summary of Next Day Fire Prediction Via Semantic Segmentation, by Konstantinos Alexis et al.
Next day fire prediction via semantic segmentationby Konstantinos Alexis, Stella Girtsou, Alexis Apostolakis, Giorgos Giannopoulos,…
Summary of Deep Learning with Noisy Labels in Medical Prediction Problems: a Scoping Review, by Yishu Wei et al.
Deep learning with noisy labels in medical prediction problems: a scoping reviewby Yishu Wei, Yu…
Summary of Adapt to Robustify Prompt Tuning Vision Transformers, by Masih Eskandar et al.
ADAPT to Robustify Prompt Tuning Vision Transformersby Masih Eskandar, Tooba Imtiaz, Zifeng Wang, Jennifer DyFirst…
Summary of Bacon: Boosting Imbalanced Semi-supervised Learning Via Balanced Feature-level Contrastive Learning, by Qianhan Feng et al.
BaCon: Boosting Imbalanced Semi-supervised Learning via Balanced Feature-Level Contrastive Learningby Qianhan Feng, Lujing Xie, Shijie…
Summary of Posterior Uncertainty Quantification in Neural Networks Using Data Augmentation, by Luhuan Wu et al.
Posterior Uncertainty Quantification in Neural Networks using Data Augmentationby Luhuan Wu, Sinead WilliamsonFirst submitted to…