Summary of Aigc For Industrial Time Series: From Deep Generative Models to Large Generative Models, by Lei Ren et al.
AIGC for Industrial Time Series: From Deep Generative Models to Large Generative Modelsby Lei Ren,…
Summary of An Ai System For Continuous Knee Osteoarthritis Severity Grading Using Self-supervised Anomaly Detection with Limited Data, by Niamh Belton and Aonghus Lawlor and Kathleen M. Curran
An AI System for Continuous Knee Osteoarthritis Severity Grading Using Self-Supervised Anomaly Detection with Limited…
Summary of Ses: Bridging the Gap Between Explainability and Prediction Of Graph Neural Networks, by Zhenhua Huang et al.
SES: Bridging the Gap Between Explainability and Prediction of Graph Neural Networksby Zhenhua Huang, Kunhao…
Summary of No Train, All Gain: Self-supervised Gradients Improve Deep Frozen Representations, by Walter Simoncini et al.
No Train, all Gain: Self-Supervised Gradients Improve Deep Frozen Representationsby Walter Simoncini, Spyros Gidaris, Andrei…
Summary of Motion-prior Contrast Maximization For Dense Continuous-time Motion Estimation, by Friedhelm Hamann et al.
Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimationby Friedhelm Hamann, Ziyun Wang, Ioannis Asmanis, Kenneth…
Summary of Dino Pre-training For Vision-based End-to-end Autonomous Driving, by Shubham Juneja et al.
DINO Pre-training for Vision-based End-to-end Autonomous Drivingby Shubham Juneja, Povilas Daniušis, Virginijus MarcinkevičiusFirst submitted to…
Summary of A Self-supervised Learning Pipeline For Demographically Fair Facial Attribute Classification, by Sreeraj Ramachandran and Ajita Rattani
A Self-Supervised Learning Pipeline for Demographically Fair Facial Attribute Classificationby Sreeraj Ramachandran, Ajita RattaniFirst submitted…
Summary of Gofa: a Generative One-for-all Model For Joint Graph Language Modeling, by Lecheng Kong et al.
GOFA: A Generative One-For-All Model for Joint Graph Language Modelingby Lecheng Kong, Jiarui Feng, Hao…
Summary of Guidelines For Augmentation Selection in Contrastive Learning For Time Series Classification, by Ziyu Liu et al.
Guidelines for Augmentation Selection in Contrastive Learning for Time Series Classificationby Ziyu Liu, Azadeh Alavi,…
Summary of Spectral Self-supervised Feature Selection, by Daniel Segal et al.
Spectral Self-supervised Feature Selectionby Daniel Segal, Ofir Lindenbaum, Ariel JaffeFirst submitted to arxiv on: 12…