Tianlin Liu
11 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint
π₯
Mega-Team Β· Squad
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Renaissance Researcher
(5)
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Conference Pioneer
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(64)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Artificial Intelligence
(6)
Core AI
(6)
Deep Learning
(5)
Natural Language Processing
(5)
Resources & Methods
(4)
Core Methods
(3)
Learning Types
(3)
Architectures
(2)
Generation
(2)
Models
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Keywords
unsupervised learning
(1)
causal inference
(1)
neural tangent kernel
(1)
continual learning
(1)
regularization
(1)
sentiment analysis
(1)
optimal transport
(1)
knowledge distillation
(1)
multi-label classification
(1)
convergence analysis
(1)
universal approximation
(1)
network pruning
(1)
neural network optimization
(1)
neural network theory
(1)
dialogue state tracking
(1)
partition function
(1)
constraint satisfaction
(1)
cardinality constraint
(1)
f-divergence
(1)
model compression
(1)
Papers
Adaptive Methods through the Lens of SDEs: Theoretical Insights on the Role of Noise
ICLR 2025
Joint Learning of Energy-based Models and their Partition Function
ICML 2025
Loss Functions and Operators Generated by f-Divergences
ICML 2025
Decoding-time Realignment of Language Models
ICML 2024
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
EMNLP 2024
Sparsity-Constrained Optimal Transport
ICLR 2023
Universal Approximation Under Constraints is Possible with Transformers
ICLR 2022
Causally Denoise Word Embeddings Using Half-Sibling Regression
AAAI 2020
Finding trainable sparse networks through Neural Tangent Transfer
ICML 2020
Continual Learning for Sentence Representations Using Conceptors
NAACL 2019
Unsupervised Post-Processing of Word Vectors via Conceptor Negation
AAAI 2019