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Kirby Banman

dblp:295/5336 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2022
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
2 papers
Optimization for machine learning · 35% Deep learning architectures and training · 33% Transfer learning and domain adaptation · 17%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Transfer learning and domain adaptation › domain shift
covariate shift
0.612022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum · ICLR 2022
Machine learning › Deep learning architectures and training › training dynamics
optimization dynamics
0.612022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum · ICLR 2022
Machine learning › Optimization for machine learning
stochastic gradient descent
0.612022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum · ICLR 2022
Machine learning › Optimization for machine learning › stochastic gradient descent
stochastic gradient descent with momentum
0.612022
Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum · ICLR 2022
Machine learning › Deep learning architectures and training
activation function
0.512021
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online · ICLR 2021
Machine learning › Representation and self-supervised learning › representation learning › unsupervised representation learning
sparse coding
0.512021
Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online · ICLR 2021

Methods — techniques the papers use, named apart from their topics

stochastic gradient descent with momentum · 0.6tiling activation · 0.5sparse coding · 0.5
YearPublicationVenuePosition
2022 Resonance in Weight Space: Covariate Shift Can Drive Divergence of SGD with Momentum
Kirby Banman, Liam Peet-Pare, Nidhi Hegde 0001, Alona Fyshe, Martha White
ICLR1
2021 Fuzzy Tiling Activations: A Simple Approach to Learning Sparse Representations Online
Yangchen Pan, Kirby Banman, Martha White
ICLR2