C. Bayan Bruss
7 papers · 2023–2025 · 3 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
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird 👑 Triple Crown
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Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Core Methods
(4)
Learning Types · Deep Learning
(4)
Artificial Intelligence
(3)
Techniques
(3)
Application Areas
(2)
Architectures
(2)
Core AI · Artificial Intelligence
(2)
Computer Vision
(1)
Core AI · Computer Vision
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
neural network
(2)
neural network training
(1)
language model
(1)
feature selection
(1)
self-supervised learning
(1)
data augmentation
(1)
neural network optimization
(1)
efficient computing
(1)
label smoothing
(1)
class imbalance
(1)
classifier
(1)
image representation
(1)
deep learning model
(1)
graph transformer
(1)
transfer learning
(1)
node classification
(1)
scaling law
(1)
mixture of expert
(1)
vision-language model
(1)
structured matrix
(1)
Papers
Position: Supervised Classifiers Answer the Wrong Questions for OOD Detection
ICML 2025
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
NeurIPS 2023
GOAT: A Global Transformer on Large-scale Graphs
ICML 2023
Identifying Interpretable Subspaces in Image Representations
ICML 2023
Simplifying Neural Network Training Under Class Imbalance
NeurIPS 2023
Transfer Learning with Deep Tabular Models
ICLR 2023