Anuj Karpatne
13 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8)
🐝
Cross-Pollinator
(8)
🏆
Grand Slam
👑
Triple Crown
👥
Mega-Team
(22)
⚡
Prolific Year
(5)
❓
The Questioner
💎
Century Club
(12)
Conferences
ICLR (3)
CVPR (2)
ICML (2)
NIPS (2)
AAAI (1)
ECCV (1)
ICCV (1)
IJCAI (1)
Top co-authors
Keywords
feature extraction
(2)
zero-shot learning
(1)
explainable ai
(1)
image segmentation
(1)
vision transformer
(1)
image generation
(1)
transfer learning
(1)
domain adaptation
(1)
gradient descent
(1)
computer vision
(1)
hierarchical learning
(1)
hierarchical classification
(1)
sampling strategy
(1)
question answering
(1)
semantic segmentation
(1)
fine-grained classification
(1)
prompt learning
(1)
out-of-distribution generalization
(1)
representation learning
(1)
neural network compression
(1)
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
What Do You See in Common? Learning Hierarchical Prototypes over Tree-of-Life to Discover Evolutionary Traits
ICLR 2025
Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis
CVPR 2025
Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
CVPR 2025
TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation
ICCV 2025
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
ICLR 2024
VLM4Bio: A Benchmark Dataset to Evaluate Pretrained Vision-Language Models for Trait Discovery from Biological Images
NIPS 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
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)
NIPS 2021
Recurrent Generative Networks for Multi-Resolution Satellite Data: An Application in Cropland Monitoring
IJCAI 2019