Kayhan Batmanghelich
23 papers · 2015–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (10)
πΊοΈ
Taxonomy Completionist
(60)
π£
Hot Topic Early Bird
π
Interdisciplinary Bridge
π§¬
Topic Evolution
π
Grand Slam
ποΈ
Keyword Collector
(107)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(23)
π₯
Unstoppable
(8)
β
The Questioner
Conferences
AAAI (4)
CVPR (4)
ACL (3)
NIPS (3)
ICML (2)
WACV (2)
ICCV (1)
ICLR (1)
MICCAI (1)
MLHC (1)
NAACL (1)
Top co-authors
Keywords
representation learning
(5)
generative adversarial network
(3)
generative model
(3)
weakly supervised learning
(2)
large language model
(2)
contrastive learning
(2)
weak supervision
(2)
label noise
(2)
cycle consistency
(2)
domain adaptation
(2)
semi-supervised learning
(1)
bayesian inference
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
feature extraction
(1)
adversarial learning
(1)
topic modeling
(1)
variational inference
(1)
shortcut learning
(1)
data augmentation
(1)
Papers
LADDER: Language-Driven Slice Discovery and Error Rectification in Vision Classifiers
ACL 2025
Multi-Modal Large Language Models are Effective Vision Learners
WACV 2025
Semantic Consistency-Based Uncertainty Quantification for Factuality in Radiology Report Generation
NAACL 2025
Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography
MICCAI 2024
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
ICML 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
NIPS 2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
ACL 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier
WACV 2023
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
CVPR 2022
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
AAAI 2021
Can contrastive learning avoid shortcut solutions?
NIPS 2021
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach
MLHC 2021
Label-Noise Robust Domain Adaptation
ICML 2020
Explanation by Progressive Exaggeration
ICLR 2020
Weakly Supervised Disentanglement by Pairwise Similarities
AAAI 2020
Generative-Discriminative Complementary Learning
AAAI 2020
Twin Auxilary Classifiers GAN
NIPS 2019
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
CVPR 2019
An Efficient and Provable Approach for Mixture Proportion Estimation Using Linear Independence Assumption
CVPR 2018
Deep Ordinal Regression Network for Monocular Depth Estimation
CVPR 2018
Nonparametric Spherical Topic Modeling with Word Embeddings
ACL 2016
Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple
ICCV 2015