Quynh Nguyen
10 papers · 2015–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (16) π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(52)
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Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(8)
Deep Learning
(6)
Architectures
(5)
Optimization & Theory Β· Deep Learning
(3)
Computer Vision
(2)
Analysis
(2)
Computer Science
(1)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Core Methods
(1)
Foundations
(1)
Learning Types Β· Machine Learning
(1)
Learning Types Β· Deep Learning
(1)
Keywords
loss landscape
(3)
neural network
(3)
deep learning
(2)
neural tangent kernel
(2)
deep relu network
(2)
gradient descent
(2)
global convergence
(1)
global optimization
(1)
semantic analysis
(1)
sublevel sets
(1)
activation function
(1)
question answering
(1)
quadratic assignment
(1)
ranking objective
(1)
attribute learning
(1)
convolutional neural network
(1)
optimization landscape
(1)
deep neural network
(1)
deep learning theory
(1)
embedding learning
(1)
Papers
Pregnant Questions: The Importance of Pragmatic Awareness in Maternal Health Question Answering
NAACL 2024
On the Proof of Global Convergence of Gradient Descent for Deep ReLU Networks with Linear Widths
ICML 2021
Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks
ICML 2021
On Connected Sublevel Sets in Deep Learning
ICML 2019
On the loss landscape of a class of deep neural networks with no bad local valleys
ICLR 2019
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
ICML 2018
Optimization Landscape and Expressivity of Deep CNNs
ICML 2018
The Loss Surface of Deep and Wide Neural Networks
ICML 2017
Latent Embeddings for Zero-Shot Classification
CVPR 2016
A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching
CVPR 2015