Tan Nguyen
10 papers · 2013–2023 · 2 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
Jump to papers ↓+4 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (21)
🧭
Keyword Pioneer
💎
Century Club · Bronze
🚀
Conference Pioneer
🗃️
Keyword Collector
(54)
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory · Machine Learning
(8)
Deep Learning
(6)
Architectures
(5)
Artificial Intelligence
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Learning Types
(2)
Optimization
(2)
Optimization & Theory · Deep Learning
(2)
Techniques
(2)
Natural Language Processing
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Keywords
transformer architecture
(3)
neural network optimization
(2)
adjoint state
(2)
neural ordinary differential equation
(2)
self-attention mechanism
(2)
attention mechanism
(2)
multi-head attention
(2)
parameter sharing
(1)
binary classification
(1)
adversarial robustness
(1)
branch and bound
(1)
gradient descent
(1)
accelerated gradient
(1)
maximum a posteriori
(1)
efficient computing
(1)
nesterov method
(1)
kernel regression
(1)
language modeling
(1)
coordinate descent
(1)
fast multipole method
(1)
Papers
Designing Robust Transformers using Robust Kernel Density Estimation
NeurIPS 2023
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
NeurIPS 2023
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
NeurIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
NeurIPS 2022
Improving Transformer with an Admixture of Attention Heads
NeurIPS 2022
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
NeurIPS 2021
Heavy Ball Neural Ordinary Differential Equations
NeurIPS 2021
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
NeurIPS 2020
Neural Networks with Recurrent Generative Feedback
NeurIPS 2020
Algorithms for Direct 0–1 Loss Optimization in Binary Classification
ICML 2013