Jim Davis

6 papers · 2021–2025 · 5 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (12) 🐣 Hot Topic Early Bird 🔥 Unstoppable · Bronze

❓ The Questioner

Venues

WACV (2) CVPR (1) ECCV (1) EMNLP (1) ICCV (1)

Top co-authors

Logan Frank (3) Scott Shearer (1) Christopher Wiegman (1) Benjamin Lewis (1) Grant Erdmann (1) Zachary Rabin (1) Nicholas Kashani Motlagh (1) Jeremy Gwinnup (1) Roman Ilin (1) Matthew Scherreik (1)

Research topics

Deep Learning (4) Machine Learning (4) Architectures (2) Core Methods (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Natural Language Processing (1) Application Areas (1) Applications (1) Core AI (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

hierarchical classification (2) semi-supervised learning (1) model calibration (1) knowledge distillation (1) deep learning (1) feature representation (1) convolutional neural network (1) neural collapse (1) classifier weight (1) student model (1) cosine similarity (1) visual information (1) confirmation bia (1) dataset selection (1) image disambiguation (1) multimodal machine translation (1) surrogate dataset (1) synthetic imagery (1) plant stress identification (1) model compression (1)

Papers

What Makes a Good Dataset for Knowledge Distillation? CVPR 2025 Assessing the Role of Imagery in Multimodal Machine Translation EMNLP 2024 Design Choices for Enhancing Noisy Student Self-Training WACV 2024 Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity ICCV 2023 Revisiting Batch Norm Initialization ECCV 2022 Confidence-Driven Hierarchical Classification of Cultivated Plant Stresses WACV 2021