Jim Davis
Engineering · The Ohio State University
Publications
41
Citations
1,230
Est. group size
—
Recurring co-author estimate
Active years
42
Publishing since 1984
Jim Davis works on machine learning topics such as image classification, knowledge distillation (transferring knowledge from large models to smaller ones), model calibration and uncertainty ('knowing when a model doesn't know'), and hierarchical/reject-option classification. His work also touches on applying these methods to smart manufacturing and satellite imagery analysis. Prospective students would likely engage with practical deep learning research addressing model robustness, efficiency, and reliability.
Publication output has fluctuated over the last decade with a notable dip in 2020 and 2023, but has generally remained steady with a peak of 6 papers in 2024.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- What Makes a Good Dataset for Knowledge Distillationƒ
2025
- Making Better Mistakes in CLIP-Based Zero-Shot Classification with Hierarchy-Aware Language Prompts
arXiv (Cornell University) · 2025
- Naturally constrained reject option classification
Machine Vision and Applications · 2024
- Design Choices for Enhancing Noisy Student Self-Training
2024
- Deep Learning Improvements for Sparse Spatial Field Reconstruction
arXiv (Cornell University) · 2024
- Smart Manufacturing
Elsevier eBooks · 2024
- Effects of Common Regularization Techniques on Open-Set Recognition
arXiv (Cornell University) · 2024
- What Makes a Good Dataset for Knowledge Distillation?
arXiv (Cornell University) · 2024
- Data-Free Knowledge Distillation Using Adversarially Perturbed OpenGL Shader Images
arXiv (Cornell University) · 2023
- Revisiting Batch Norm Initialization
Lecture notes in computer science · 2022
- Learning When to Say “I Don’t Know"
Lecture notes in computer science · 2022
- S-FINCH: An Optimized Streaming Adaptation to FINCH Clustering
2022 26th International Conference on Pattern Recognition (ICPR) · 2022
- Hierarchical Classification with Confidence using Generalized Logits
2021
- A Framework for Semi-automatic Collection of Temporal Satellite Imagery for Analysis of Dynamic Regions
2021
- Bottom-up Hierarchical Classification Using Confusion-based Logit Compression
arXiv (Cornell University) · 2021
- arXiv (Cornell University)×7
- Lecture notes in computer science×4
- Elsevier eBooks×2
- Machine Vision and Applications×1
- Journal of Research of the National Institute of Standards and Technology×1
- Ragu Athinarayanan
Engineering · Purdue University West Lafayette
- Xingyu Li
Engineering · Purdue University West Lafayette
- Praditya Ajidarma
Engineering · Purdue University West Lafayette
- Byung Gun Joung
Engineering · Purdue University West Lafayette
- Xiaofeng Zhao
Engineering · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
Claim or correct this profile