← Authors

Quynh Nguyen

10 papers · 2015–2024 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (9) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ’Ž Century Club (10) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter

Conferences

ICML (6) CVPR (2) ICLR (1) NAACL (1)

Top co-authors

Matthias Hein (6) Mahesh Chandra Mukkamala (2) Antoine Gautier (1) Yongqin Xian (1) Marco Mondelli (1) Heran Mane (1) Guido F Montufar (1) Rupak Sarkar (1) Bernt Schiele (1) Rachel Rudinger (1)

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