Nicholas Frosst
6 papers · 2017–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (4) π Academic Marathon (8) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π
Cross-Pollinator
(12)
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Renaissance Researcher
(5)
π₯
Unstoppable
(5)
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Conference Pioneer
Conferences
ICLR (2)
NIPS (2)
EMNLP (1)
ICML (1)
Top co-authors
Keywords
representation learning
(1)
image classification
(1)
computer vision
(1)
object recognition
(1)
direct preference optimization
(1)
machine translation
(1)
interpretable machine learning
(1)
dynamic routing
(1)
feature attribution
(1)
outlier detection
(1)
convolutional network
(1)
uncertainty estimation
(1)
generalized additive model
(1)
minimum bayes risk
(1)
neural additive model
(1)
step-by-step reasoning
(1)
capsule network
(1)
soft nearest neighbor loss
(1)
feature entanglement
(1)
class manifold
(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
NIPS 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
NIPS 2017