Summary of Adapprox: Adaptive Approximation in Adam Optimization Via Randomized Low-rank Matrices, by Pengxiang Zhao et al.
Adapprox: Adaptive Approximation in Adam Optimization via Randomized Low-Rank Matricesby Pengxiang Zhao, Ping Li, Yingjie…
Summary of Vehicle Detection Performance in Nordic Region, by Hamam Mokayed et al.
Vehicle Detection Performance in Nordic Regionby Hamam Mokayed, Rajkumar Saini, Oluwatosin Adewumi, Lama Alkhaled, Bjorn…
Summary of Insights Into the Lottery Ticket Hypothesis and Iterative Magnitude Pruning, by Tausifa Jan Saleem et al.
Insights into the Lottery Ticket Hypothesis and Iterative Magnitude Pruningby Tausifa Jan Saleem, Ramanjit Ahuja,…
Summary of A Task Of Anomaly Detection For a Smart Satellite Internet Of Things System, by Zilong Shao
A task of anomaly detection for a smart satellite Internet of things systemby Zilong ShaoFirst…
Summary of Deep Active Learning: a Reality Check, by Edrina Gashi et al.
Deep Active Learning: A Reality Checkby Edrina Gashi, Jiankang Deng, Ismail EleziFirst submitted to arxiv…
Summary of Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measures, by Zeya Wang and Chenglong Ye
Deep Clustering Evaluation: How to Validate Internal Clustering Validation Measuresby Zeya Wang, Chenglong YeFirst submitted…
Summary of Towards a Framework For Deep Learning Certification in Safety-critical Applications Using Inherently Safe Design and Run-time Error Detection, by Romeo Valentin
Towards a Framework for Deep Learning Certification in Safety-Critical Applications Using Inherently Safe Design and…
Summary of Estimating Physical Information Consistency Of Channel Data Augmentation For Remote Sensing Images, by Tom Burgert et al.
Estimating Physical Information Consistency of Channel Data Augmentation for Remote Sensing Imagesby Tom Burgert, Begüm…
Summary of Hypothesis-driven Deep Learning For Out Of Distribution Detection, by Yasith Jayawardana et al.
Hypothesis-Driven Deep Learning for Out of Distribution Detectionby Yasith Jayawardana, Azeem Ahmad, Balpreet S. Ahluwalia,…
Summary of C-tpt: Calibrated Test-time Prompt Tuning For Vision-language Models Via Text Feature Dispersion, by Hee Suk Yoon et al.
C-TPT: Calibrated Test-Time Prompt Tuning for Vision-Language Models via Text Feature Dispersionby Hee Suk Yoon,…