Chaofan Chen
10 papers · 2018–2026 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Keyword Collector
(59)
Venues
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Research topics
Machine Learning
(10)
Core Methods
(9)
Deep Learning
(7)
Artificial Intelligence
(6)
Computer Vision
(6)
Analysis
(4)
Architectures
(4)
Core AI · Artificial Intelligence
(4)
Learning Types · Machine Learning
(4)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Core AI · Computer Vision
(2)
Mathematics & Optimization
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
interpretable machine learning
(3)
image classification
(3)
case-based reasoning
(3)
few-shot learning
(3)
prototype learning
(3)
prototypical part network
(2)
representation learning
(2)
deformable prototype
(2)
knowledge distillation
(1)
weakly supervised learning
(1)
vision transformer
(1)
transductive learning
(1)
graph laplacian
(1)
multimodal learning
(1)
image segmentation
(1)
neural network interpretability
(1)
superpixel segmentation
(1)
binary classification
(1)
visual explanation
(1)
class-incremental learning
(1)
Papers
Differentiable Laplacian Matrix Guided Superpixel Segmentation
CVPR 2026
Pseudo Informative Episode Construction for Few-Shot Class-Incremental Learning
AAAI 2025
Rashomon Sets for Prototypical-Part Networks: Editing Interpretable Models in Real-Time
CVPR 2025
Interpretable Image Classification with Adaptive Prototype-based Vision Transformers
NeurIPS 2024
Active Exploration of Multimodal Complementarity for Few-Shot Action Recognition
CVPR 2023
This Looks Like Those: Illuminating Prototypical Concepts Using Multiple Visualizations
NeurIPS 2023
Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes
CVPR 2022
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
CVPR 2021
This Looks Like That: Deep Learning for Interpretable Image Recognition
NeurIPS 2019
An Optimization Approach to Learning Falling Rule Lists
AISTATS 2018