James Duncan
5 papers · 2020–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
NIPS (4)
ICML (1)
Top co-authors
Keywords
medical image segmentation
(2)
contrastive learning
(1)
stochastic gradient descent
(1)
semantic segmentation
(1)
semi-supervised learning
(1)
adversarial training
(1)
gradient estimation
(1)
variance reduction
(1)
convergence rate
(1)
neural ordinary differential equation
(1)
adaptive stepsize
(1)
adjoint method
(1)
multi-scale representation
(1)
adaptive gradient
(1)
exponential moving average
(1)
adaptive optimizer
(1)
asynchronous update
(1)
stochastic non-convex optimization
(1)
image classification
(1)
momentum centering
(1)
Papers
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
NIPS 2023
Class-Aware Adversarial Transformers for Medical Image Segmentation
NIPS 2022
Momentum Centering and Asynchronous Update for Adaptive Gradient Methods
NIPS 2021
AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients
NIPS 2020
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
ICML 2020