:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Southworth, Ben S., Jiang, Shuai, McBride, Daniel, Cyr, Eric C., Thomas, Stephen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2605.24770
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

On the Convergence Behavior of Preconditioned Gradient Descent Toward the Rich Learning Regime
by: Jiang, Shuai, et al.
Published: (2026)

HoneyBee: Data Recipes for Vision-Language Reasoners
by: Bansal, Hritik, et al.
Published: (2025)

Beyond Muon: MUD (MomentUm Decorrelation) for Faster Transformer Training
by: Southworth, Ben S., et al.
Published: (2026)

On Vision Transformers for Classification Tasks in Side-Scan Sonar Imagery
by: Sheffield, BW, et al.
Published: (2024)

RecipeGen: A Benchmark for Real-World Recipe Image Generation
by: Zhang, Ruoxuan, et al.
Published: (2025)

SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity Recognition
by: Wang, Yijun, et al.
Published: (2025)

Deep Image-to-Recipe Translation
by: Ma, Jiangqin, et al.
Published: (2024)

LibraGrad: Balancing Gradient Flow for Universally Better Vision Transformer Attributions
by: Mehri, Faridoun, et al.
Published: (2024)

RecipeGen: A Step-Aligned Multimodal Benchmark for Real-World Recipe Generation
by: Zhang, Ruoxuan, et al.
Published: (2025)

PRUE: A Practical Recipe for Field Boundary Segmentation at Scale
by: Muhawenayo, Gedeon, et al.
Published: (2026)

Tarsier: Recipes for Training and Evaluating Large Video Description Models
by: Wang, Jiawei, et al.
Published: (2024)

HEAL-SWIN: A Vision Transformer On The Sphere
by: Carlsson, Oscar, et al.
Published: (2023)

A Deep Learning Approach to Estimate Canopy Height and Uncertainty by Integrating Seasonal Optical, SAR and Limited GEDI LiDAR Data over Northern Forests
by: Castro, Jose B., et al.
Published: (2024)

Efficient Training of Diffusion Mixture-of-Experts Models: A Practical Recipe
by: Liu, Yahui, et al.
Published: (2025)

Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization
by: Jiang, Jiarui, et al.
Published: (2024)

Mixture-of-Experts Models in Vision: Routing, Optimization, and Generalization
by: Rokah, Adam, et al.
Published: (2026)

A Recipe for Unbounded Data Augmentation in Visual Reinforcement Learning
by: Almuzairee, Abdulaziz, et al.
Published: (2024)

Native Segmentation Vision Transformers
by: Brasó, Guillem, et al.
Published: (2025)

Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning
by: Roy, Arani, et al.
Published: (2025)

Block-Recurrent Dynamics in Vision Transformers
by: Jacobs, Mozes, et al.
Published: (2025)

Hybrid Convolution and Vision Transformer NAS Search Space for TinyML Image Classification
by: Djajapermana, Mikhael, et al.
Published: (2025)

Iwin Transformer: Hierarchical Vision Transformer using Interleaved Windows
by: Huo, Simin, et al.
Published: (2025)

Slicing Vision Transformer for Flexible Inference
by: Zhang, Yitian, et al.
Published: (2024)

RAViT: Resolution-Adaptive Vision Transformer
by: Guidez, Martial, et al.
Published: (2026)

Rotary Position Embedding for Vision Transformer
by: Heo, Byeongho, et al.
Published: (2024)

Decorrelation Speeds Up Vision Transformers
by: Carrigg, Kieran, et al.
Published: (2025)

CLIP-UP: A Simple and Efficient Mixture-of-Experts CLIP Training Recipe with Sparse Upcycling
by: Wang, Xinze, et al.
Published: (2025)

Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models
by: You, Weiqiu, et al.
Published: (2026)

ZENITH: Automated Gradient Norm Informed Stochastic Optimization
by: Saha, Dhrubo
Published: (2026)

Retrieval Augmented Recipe Generation
by: Liu, Guoshan, et al.
Published: (2024)

A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
by: Scabini, Leonardo, et al.
Published: (2024)

SPoT: Subpixel Placement of Tokens in Vision Transformers
by: Hjelkrem-Tan, Martine, et al.
Published: (2025)

Instance-Aware Group Quantization for Vision Transformers
by: Moon, Jaehyeon, et al.
Published: (2024)

Vision Transformer-based Adversarial Domain Adaptation
by: Li, Yahan, et al.
Published: (2024)

Elastic Attention Cores for Scalable Vision Transformers
by: Song, Alan Z., et al.
Published: (2026)

Compact Vision Transformer by Reduction of Kernel Complexity
by: Wang, Yancheng, et al.
Published: (2025)

Attention Transfer Is Not Universally Effective for Vision Transformers
by: Qin, Huaiyuan, et al.
Published: (2026)

Split Adaptation for Pre-trained Vision Transformers
by: Wang, Lixu, et al.
Published: (2025)

DASViT: Differentiable Architecture Search for Vision Transformer
by: Wu, Pengjin, et al.
Published: (2025)

Stable Vision Concept Transformers for Medical Diagnosis
by: Hu, Lijie, et al.
Published: (2025)