Nicholas Frosst
6 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (13) π Conference Polyglot Β· Bronze
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Topic Evolution
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Keyword Pioneer
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Unstoppable Β· Bronze
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Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Architectures
(3)
Artificial Intelligence
(2)
Core AI
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Learning Types Β· Machine Learning
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Analysis
(1)
Applications
(1)
Optimization & Theory
(1)
Resources & Methods
(1)
Keywords
capsule network
(3)
image classification
(1)
feature learning
(1)
computer vision
(1)
object recognition
(1)
direct preference optimization
(1)
machine translation
(1)
interpretable machine learning
(1)
image reconstruction
(1)
dynamic routing
(1)
feature attribution
(1)
outlier detection
(1)
adversarial attack
(1)
convolutional network
(1)
uncertainty estimation
(1)
adversarial example
(1)
generalized additive model
(1)
minimum bayes risk
(1)
neural additive model
(1)
model diagnosis
(1)
Papers
Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering
EMNLP 2025
Neural Additive Models: Interpretable Machine Learning with Neural Nets
NeurIPS 2021
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions
ICLR 2020
Analyzing and Improving Representations with the Soft Nearest Neighbor Loss
ICML 2019
Matrix capsules with EM routing
ICLR 2018
Dynamic Routing Between Capsules
NeurIPS 2017