Hsuan-tien Lin
33 papers · 2006–2025 · 14 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (18) π Conference Polyglot (14)
π
Renaissance Researcher
(10)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π₯
Mega-Team
(24)
π¬
Deep Specialist
(14)
π
Keyword Champion
ποΈ
Keyword Collector
(127)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(33)
π₯
Unstoppable
(8)
β‘
Prolific Year
(5)
Conferences
ACML (9)
NIPS (5)
ICML (4)
JMLR (3)
AISTATS (2)
NAACL (2)
CVPR (1)
EACL (1)
ECCV (1)
EMNLP (1)
ICCV (1)
ICLR (1)
IJCAI (1)
INTERSPEECH (1)
Top co-authors
Keywords
multi-label classification
(7)
support vector machine
(5)
text classification
(4)
active learning
(4)
multi-label text classification
(2)
embedding space
(2)
feature engineering
(2)
multiclass classification
(2)
generalization bound
(2)
language model
(2)
binary classification
(2)
uncertainty sampling
(2)
deep learning
(2)
label correlation
(2)
ordinal regression
(1)
online learning
(1)
catastrophic forgetting
(1)
statistical inference
(1)
image generation
(1)
representation learning
(1)
Papers
Tackling Dimensional Collapse toward Comprehensive Universal Domain Adaptation
ICML 2025
Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
ICCV 2025
Preserving Zero-shot Capability in Supervised Fine-tuning for Multi-label Text Classification
NAACL 2025
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
EACL 2024
Asian Conference on Machine Learning: Preface
ACML 2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference
AISTATS 2024
TableRAG: Million-Token Table Understanding with Language Models
NIPS 2024
SLIM: Spuriousness Mitigation with Minimal Human Annotations
ECCV 2024
Semi-Supervised Domain Adaptation With Source Label Adaptation
CVPR 2023
Even the Simplest Baseline Needs Careful Re-investigation: A Case Study on XML-CNN
NAACL 2022
Adaptive and Generative Zero-Shot Learning
ICLR 2021
A Unified View of cGANs with and without Classifiers
NIPS 2021
Learning from Label Proportions with Consistency Regularization
ACML 2020
SERIL: Noise Adaptive Speech Enhancement Using Regularization-Based Incremental Learning
INTERSPEECH 2020
Cold-start Active Learning through Self-supervised Language Modeling
EMNLP 2020
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
ICML 2020
Deep Learning with a Rethinking Structure for Multi-label Classification
ACML 2019
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
NIPS 2018
Cost-Aware Pre-Training for Multiclass Cost-Sensitive Deep Learning
IJCAI 2016
Rivalry of Two Families of Algorithms for Memory-Restricted Streaming PCA
AISTATS 2016
Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
JMLR 2015
Pseudo-reward Algorithms for Contextual Bandits with Linear Payoff Functions
ACML 2014
Reduction from Cost-Sensitive Multiclass Classification to One-versus-One Binary Classification
ACML 2014
Boosting with Online Binary Learners for the Multiclass Bandit Problem
ICML 2014
Condensed Filter Tree for Cost-Sensitive Multi-Label Classification
ICML 2014
Effective String Processing and Matching for Author Disambiguation
JMLR 2014
Active Sampling of Pairs and Points for Large-scale Linear Bipartite Ranking
ACML 2013
Feature-aware Label Space Dimension Reduction for Multi-label Classification
NIPS 2012
Active Learning with Hinted Support Vector Machine
ACML 2012
Multi-label Active Learning with Auxiliary Learner
ACML 2011
Multi-label Classification with Error-correcting Codes
ACML 2011
Support Vector Machinery for Infinite Ensemble Learning
JMLR 2008
Ordinal Regression by Extended Binary Classification
NIPS 2006