Elliot J. Crowley
8 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19) 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(3)
Deep Learning
(3)
Application Areas
(3)
Architectures
(3)
Computer Vision
(2)
Analysis
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Types
(2)
Optimization & Theory
(2)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Techniques
(1)
Keywords
object detection
(2)
knowledge distillation
(2)
active learning
(1)
transformer architecture
(1)
semantic segmentation
(1)
vision transformer
(1)
few-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
bayesian inference
(1)
uncertainty quantification
(1)
attention mechanism
(1)
model distillation
(1)
model architecture
(1)
neural architecture search
(1)
kernel learning
(1)
graph attention
(1)
fisher information
(1)
uncertainty sampling
(1)
surrogate model
(1)
Papers
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
AutoML 2025
einspace: Searching for Neural Architectures from Fundamental Operations
NeurIPS 2024
Plug and Play Active Learning for Object Detection
CVPR 2024
GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation
ICLR 2023
Prediction-Guided Distillation for Dense Object Detection
ECCV 2022
Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels
NeurIPS 2020
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
ICLR 2020
Moonshine: Distilling with Cheap Convolutions
NeurIPS 2018