Kayhan Batmanghelich
23 papers · 2015–2025 · 11 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (55) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π
Grand Slam
π§¬
Topic Evolution
π§
Keyword Pioneer
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Conference Pioneer
π
Century Club Β· Bronze
π
Trend Setter
ποΈ
Keyword Collector
(108)
Venues
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(12)
Core Methods
(9)
Learning Types Β· Machine Learning
(9)
Learning Types Β· Deep Learning
(9)
Artificial Intelligence
(8)
Computer Vision
(7)
Core AI Β· Artificial Intelligence
(7)
Models
(6)
Application Areas
(5)
Optimization & Theory
(3)
Analysis
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Core AI Β· Computer Vision
(2)
Keywords
representation learning
(5)
generative adversarial network
(3)
generative model
(3)
label noise
(2)
vision-language model
(2)
weakly supervised learning
(2)
counterfactual explanation
(2)
model interpretability
(2)
cycle consistency
(2)
domain adaptation
(2)
contrastive learning
(2)
weak supervision
(2)
large language model
(2)
self-supervised learning
(1)
uncertainty quantification
(1)
semi-supervised learning
(1)
bayesian inference
(1)
feature extraction
(1)
adversarial learning
(1)
topic modeling
(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
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier
WACV 2023
Dividing and Conquering a BlackBox to a Mixture of Interpretable Models: Route, Interpret, Repeat
ICML 2023
From Characters to Words: Hierarchical Pre-trained Language Model for Open-vocabulary Language Understanding
ACL 2023
Semi-Implicit Denoising Diffusion Models (SIDDMs)
NeurIPS 2023
Knowledge Distillation via Constrained Variational Inference
AAAI 2022
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation
CVPR 2022
Can contrastive learning avoid shortcut solutions?
NeurIPS 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
AAAI 2021
Incorporating External Information in Tissue Subtyping: A Topic Modeling Approach
MLHC 2021
Explanation by Progressive Exaggeration
ICLR 2020
Generative-Discriminative Complementary Learning
AAAI 2020
Label-Noise Robust Domain Adaptation
ICML 2020
Weakly Supervised Disentanglement by Pairwise Similarities
AAAI 2020
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
CVPR 2019
Twin Auxilary Classifiers GAN
NeurIPS 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