Albert Y.S. Lam
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (27) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Topic Evolution
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Unstoppable · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(7)
Applications
(7)
Learning Types · Machine Learning
(7)
Deep Learning
(5)
Artificial Intelligence
(4)
Learning Types · Deep Learning
(4)
Core AI
(3)
Core Methods
(2)
Learning Paradigms
(2)
Resources & Methods
(2)
Speech & Audio
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Generation
(1)
Keywords
intent classification
(4)
few-shot learning
(3)
dialogue system
(3)
intent detection
(2)
transfer learning
(2)
low-resource language
(2)
out-of-distribution detection
(2)
zero-shot intent classification
(2)
zero-shot learning
(2)
self-supervised learning
(2)
pre-trained language model
(2)
task-oriented dialogue
(2)
discriminative training
(1)
generalized zero-shot
(1)
outlier detection
(1)
machine translation
(1)
dynamic routing
(1)
language model
(1)
semantic embedding
(1)
latent representation
(1)
Papers
Cantonese Punctuation Restoration using LLM Annotated Data
Interspeech 2025
Speech-guided Grapheme-to-Phoneme Conversion for Cantonese Text-to-Speech
Interspeech 2025
Leveraging Mandarin as a Pivot Language for Low-Resource Machine Translation between Cantonese and English
ACL 2024
Revisit Few-shot Intent Classification with PLMs: Direct Fine-tuning vs. Continual Pre-training
ACL 2023
A Closer Look at Few-Shot Out-of-Distribution Intent Detection
COLING 2022
Effectiveness of Pre-training for Few-shot Intent Classification
EMNLP 2021
Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training
ACL 2021
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
ACL 2020
Reconstructing Capsule Networks for Zero-shot Intent Classification
EMNLP 2019