Bill Lin
8 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(25)
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The Questioner
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(5)
Deep Learning
(5)
Core Methods
(4)
Application Areas
(3)
Learning Paradigms · Artificial Intelligence
(3)
Learning Types
(3)
Optimization & Theory
(3)
Architectures
(2)
Core AI
(2)
Learning Paradigms · Machine Learning
(2)
Models
(2)
Computer Science
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
federated learning
(3)
knowledge distillation
(2)
reinforcement learning
(1)
curriculum learning
(1)
rule learning
(1)
text generation
(1)
singular value decomposition
(1)
spectral method
(1)
nonlinear manifold
(1)
spectral analysis
(1)
convergence analysis
(1)
distribution similarity
(1)
knowledge graph
(1)
generative model
(1)
manifold learning
(1)
data heterogeneity
(1)
language model
(1)
foundation model
(1)
data selection
(1)
model compression
(1)
Papers
Towards Diverse Device Heterogeneous Federated Learning via Task Arithmetic Knowledge Integration
NeurIPS 2024
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
AAAI 2023
Inference-Time Policy Adapters (IPA): Tailoring Extreme-Scale LMs without Fine-tuning
EMNLP 2023
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
When Do Curricula Work in Federated Learning?
ICCV 2023
Learning Accurate and Interpretable Decision Rule Sets from Neural Networks
AAAI 2021
Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models
ICLR 2021
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds
CVPR 2020