Elliot J. Crowley
8 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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๐ Conference Polyglot (5) ๐ Academic Marathon (7) ๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (14) ๐งญ Keyword Pioneer
๐ฃ
Hot Topic Early Bird
๐
Cross-Pollinator
(15)
Conferences
NIPS (3)
ICLR (2)
AUTOML (1)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
meta learning
(1)
model compression
(1)
active learning
(1)
transformer architecture
(1)
few-shot learning
(1)
domain adaptation
(1)
bayesian inference
(1)
uncertainty quantification
(1)
object detection
(1)
attention mechanism
(1)
knowledge distillation
(1)
model distillation
(1)
neural architecture search
(1)
kernel learning
(1)
graph attention
(1)
uncertainty sampling
(1)
probabilistic context-free grammar
(1)
student network
(1)
search space
(1)
deep kernel
(1)
Papers
Transferrable Surrogates in Expressive Neural Architecture Search Spaces
AUTOML 2025
Plug and Play Active Learning for Object Detection
CVPR 2024
einspace: Searching for Neural Architectures from Fundamental Operations
NIPS 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
NIPS 2020
BlockSwap: Fisher-guided Block Substitution for Network Compression on a Budget
ICLR 2020
Moonshine: Distilling with Cheap Convolutions
NIPS 2018