Anuj Karpatne
13 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
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Keywords
image classification
(2)
evolutionary trait
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fine-grained classification
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representation learning
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feature extraction
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diffusion model
(2)
knowledge-guided machine learning
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vision transformer
(1)
computer vision
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image segmentation
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domain adaptation
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hierarchical learning
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hierarchical classification
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sampling strategy
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semantic segmentation
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prompt learning
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transfer learning
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explainable ai
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loss landscape
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question answering
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Papers
Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science
AAAI 2026
A Unified Framework for Forward and Inverse Problems in Subsurface Imaging using Latent Space Translations
ICLR 2025
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
CVPR 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
CVPR 2025
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
ICCV 2025
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
ICLR 2025
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
ICLR 2024
Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution
ECCV 2024
Neuro-Visualizer: A Novel Auto-Encoder-Based Loss Landscape Visualization Method With an Application in Knowledge-Guided Machine Learning
ICML 2024
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
NeurIPS 2024
Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (R3) Sampling
ICML 2023
Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)
NeurIPS 2021
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring
IJCAI 2019