Ian Davidson
13 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Academic Marathon (12) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (9)
π§
Keyword Pioneer
π
Conference Polyglot
(5)
π
Academic Marathon
(12)
ποΈ
Keyword Collector
(69)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(13)
β
The Questioner
Conferences
AAAI (5)
IJCAI (4)
ICML (2)
AISTATS (1)
NIPS (1)
Top co-authors
Keywords
integer linear programming
(4)
transfer learning
(3)
fair clustering
(2)
feature selection
(2)
zero-shot learning
(1)
image segmentation
(1)
model compression
(1)
outlier detection
(1)
active learning
(1)
domain adaptation
(1)
spectral clustering
(1)
knowledge distillation
(1)
fairness testing
(1)
explainable ai
(1)
computational complexity
(1)
deep clustering
(1)
social network analysis
(1)
feature representation
(1)
algorithmic fairness
(1)
unsupervised learning
(1)
Papers
Searching for Unfairness in Algorithmsβ Outputs: Novel Tests and Insights
AAAI 2025
Cooperative Knowledge Distillation: A Learner Agnostic Approach
AAAI 2024
Scalable Spectral Clustering with Group Fairness Constraints
AISTATS 2023
Deep Descriptive Clustering
IJCAI 2021
Efficient Algorithms for Generating Provably Near-Optimal Cluster Descriptors for Explainability
AAAI 2020
Making Existing Clusterings Fairer: Algorithms, Complexity Results and Insights
AAAI 2020
Dense Transformer Networks for Brain Electron Microscopy Image Segmentation
IJCAI 2019
Towards Fluid Machine Intelligence: Can We Make a Gifted AI?
AAAI 2019
The Cluster Description Problem - Complexity Results, Formulations and Approximations
NIPS 2018
Extreme Learning to Rank via Low Rank Assumption
ICML 2018
Descriptive Clustering: ILP and CP Formulations with Applications
IJCAI 2018
Active Learning from Relative Queries
IJCAI 2013
Joint Transfer and Batch-mode Active Learning
ICML 2013