Quynh Nguyen
10 papers · 2015–2024 · 4 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (4) 🌍 Conference Polyglot (4) 🏃 Academic Marathon (9) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(9)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
💎
Century Club
(10)
🔥
Unstoppable
(5)
📈
Trend Setter
Conferences
ICML (6)
CVPR (2)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
neural network
(3)
deep relu network
(2)
loss landscape
(2)
neural tangent kernel
(2)
gradient descent
(2)
deep learning
(2)
global convergence
(1)
global optimization
(1)
semantic analysis
(1)
sublevel sets
(1)
feedforward network
(1)
question answering
(1)
quadratic assignment
(1)
ranking objective
(1)
attribute learning
(1)
convolutional neural network
(1)
optimization landscape
(1)
activation function
(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