Classification – Page 309 – GrooveSquid.com

July 13, 2025

Summary of Explainability-driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation, by Sebastian-vasile Echim et al.

Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillationby Sebastian-Vasile Echim, Iulian-Marius Tăiatu, Dumitru-Clementin…

July 13, 2025

Summary of Comprehensive Validation on Reweighting Samples For Bias Mitigation Via Aif360, by Christina Hastings Blow et al.

Comprehensive Validation on Reweighting Samples for Bias Mitigation via AIF360by Christina Hastings Blow, Lijun Qian,…

July 13, 2025

Summary of Quantifying the Value Of Information Transfer in Population-based Shm, by Aidan J. Hughes et al.

Quantifying the value of information transfer in population-based SHMby Aidan J. Hughes, Jack Poole, Nikolaos…

July 13, 2025

Summary of Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms, by Qingyu Wang et al.

Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transformsby Qingyu Wang, Duzhen Zhang, Tielin Zhang,…

July 13, 2025

Summary of Doctor: a Multi-disease Detection Continual Learning Framework Based on Wearable Medical Sensors, by Chia-hao Li and Niraj K. Jha

DOCTOR: A Multi-Disease Detection Continual Learning Framework Based on Wearable Medical Sensorsby Chia-Hao Li, Niraj…

July 13, 2025

Summary of Effective Data Augmentation with Diffusion Models, by Brandon Trabucco et al.

Effective Data Augmentation With Diffusion Modelsby Brandon Trabucco, Kyle Doherty, Max Gurinas, Ruslan SalakhutdinovFirst submitted…

July 13, 2025

Summary of Slca: Slow Learner with Classifier Alignment For Continual Learning on a Pre-trained Model, by Gengwei Zhang et al.

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Modelby Gengwei Zhang,…

July 13, 2025

Summary of Explainability-driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation, by Sebastian-vasile Echim et al.

Summary of Comprehensive Validation on Reweighting Samples For Bias Mitigation Via Aif360, by Christina Hastings Blow et al.

Summary of Quantifying the Value Of Information Transfer in Population-based Shm, by Aidan J. Hughes et al.

Summary of Attention-free Spikformer: Mixing Spike Sequences with Simple Linear Transforms, by Qingyu Wang et al.

Summary of Doctor: a Multi-disease Detection Continual Learning Framework Based on Wearable Medical Sensors, by Chia-hao Li and Niraj K. Jha

Summary of Effective Data Augmentation with Diffusion Models, by Brandon Trabucco et al.

Summary of Slca: Slow Learner with Classifier Alignment For Continual Learning on a Pre-trained Model, by Gengwei Zhang et al.

Summary of Rethinking the Role Of Pre-trained Networks in Source-free Domain Adaptation, by Wenyu Zhang et al.

Summary of Difformer: Scalable (graph) Transformers Induced by Energy Constrained Diffusion, By Qitian Wu et al.

Summary of Deep Dependency Networks For Multi-label Classification, by Shivvrat Arya et al.