Tan Nguyen
10 papers · 2013–2023 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
π£ Hot Topic Early Bird π Cross-Pollinator (11) π Conference Polyglot (2) π Academic Marathon (10) π Renaissance Researcher (5)
π
Cross-Pollinator
(11)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
ποΈ
Keyword Collector
(54)
π
Century Club
(10)
π
Conference Pioneer
Conferences
NIPS (9)
ICML (1)
Top co-authors
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
Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals
NIPS 2023
Designing Robust Transformers using Robust Kernel Density Estimation
NIPS 2023
Improving Transformer with an Admixture of Attention Heads
NIPS 2022
FourierFormer: Transformer Meets Generalized Fourier Integral Theorem
NIPS 2022
Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
NIPS 2022
FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention
NIPS 2021
Heavy Ball Neural Ordinary Differential Equations
NIPS 2021
Neural Networks with Recurrent Generative Feedback
NIPS 2020
MomentumRNN: Integrating Momentum into Recurrent Neural Networks
NIPS 2020
Algorithms for Direct 0β1 Loss Optimization in Binary Classification
ICML 2013