Khoat Than
10 papers · 2012–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (14)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(13)
🏆
Grand Slam
📈
Trend Setter
🗃️
Keyword Collector
(50)
💎
Century Club
(10)
Conferences
ACML (3)
ICLR (2)
ICML (2)
AAAI (1)
ACL (1)
NIPS (1)
Top co-authors
Keywords
variational inference
(2)
dimension reduction
(1)
map estimation
(1)
supervised learning
(1)
user modeling
(1)
optimal control
(1)
latent dirichlet allocation
(1)
gibbs sampling
(1)
model-based reinforcement learning
(1)
label embedding
(1)
image generation
(1)
predictive coding
(1)
posterior approximation
(1)
implicit feedback
(1)
dropout regularization
(1)
generative model
(1)
online algorithm
(1)
diffusion model
(1)
dynamical system
(1)
multi-task learning
(1)
Papers
Boosting Multiple Views for pretrained-based Continual Learning
ICLR 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
DPaI: Differentiable Pruning at Initialization with Node-Path Balance Principle
ICLR 2025
On Inference Stability for Diffusion Models
AAAI 2024
Structured Dropout Variational Inference for Bayesian Neural Networks
NIPS 2021
Predictive Coding for Locally-Linear Control
ICML 2020
From Implicit to Explicit Feedback: A deep neural network for modeling the sequential behavior of online users
ACML 2019
Employing the Correspondence of Relations and Connectives to Identify Implicit Discourse Relations via Label Embeddings
ACL 2019
Dual online inference for latent Dirichlet allocation
ACML 2014
Supervised Dimension Reduction with Topic Models
ACML 2012