Christopher Kanan
22 papers · 2016–2025 · 13 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Dynamic Duo
(12)
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Topic Evolution
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
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Renaissance Researcher
(5)
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Trend Setter
ποΈ
Keyword Collector
(89)
Venues
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Research topics
Computer Vision
(11)
Machine Learning
(11)
Artificial Intelligence
(10)
Core AI Β· Artificial Intelligence
(9)
Deep Learning
(7)
Application Areas
(7)
Natural Language Processing
(6)
Applications Β· Natural Language Processing
(6)
Applications Β· Computer Vision
(6)
Learning Types Β· Machine Learning
(6)
Analysis
(5)
Learning Types Β· Deep Learning
(3)
Architectures
(2)
Core AI Β· Computer Vision
(2)
Core Methods
(2)
Keywords
visual question answering
(8)
object detection
(4)
benchmark evaluation
(3)
domain generalization
(3)
semantic segmentation
(2)
visual grounding
(2)
multimodal learning
(2)
semi-supervised learning
(1)
image classification
(1)
multi-instance learning
(1)
visual reasoning
(1)
bayesian inference
(1)
weakly supervised learning
(1)
information extraction
(1)
contextual reasoning
(1)
transfer learning
(1)
model evaluation
(1)
data visualization
(1)
catastrophic forgetting
(1)
representation learning
(1)
Papers
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
ICML 2025
Dynamic Sparse Training of Diagonally Sparse Networks
ICML 2025
INSIGHT: Explainable Weakly-Supervised Medical Image Analysis
MLHC 2025
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
ACL 2024
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
NeurIPS 2024
Joint Breast Neoplasm Detection and Subtyping using Multi-Resolution Network Trained on Large-Scale H&E Whole Slide Images with Weak Labels
MIDL 2023
Semantic Segmentation With Active Semi-Supervised Learning
WACV 2023
An Investigation of Critical Issues in Bias Mitigation Techniques
WACV 2022
Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network
IJCAI 2022
OccamNets: Mitigating Dataset Bias by Favoring Simpler Hypotheses
ECCV 2022
A negative case analysis of visual grounding methods for VQA
ACL 2020
Answering Questions about Data Visualizations using Efficient Bimodal Fusion
WACV 2020
On the Value of Out-of-Distribution Testing: An Example of Goodhart's Law
NeurIPS 2020
REMIND Your Neural Network to Prevent Catastrophic Forgetting
ECCV 2020
Answer Them All! Toward Universal Visual Question Answering Models
CVPR 2019
Proceedings of the Second Workshop on Shortcomings in Vision and Language
NAACL 2019
TallyQA: Answering Complex Counting Questions
AAAI 2019
VQD: Visual Query Detection In Natural Scenes
NAACL 2019
DVQA: Understanding Data Visualizations via Question Answering
CVPR 2018
FearNet: Brain-Inspired Model for Incremental Learning
ICLR 2018
An Analysis of Visual Question Answering Algorithms
ICCV 2017
Answer-Type Prediction for Visual Question Answering
CVPR 2016