Weidong Liu
11 papers · 2019–2024 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (35)
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Machine Learning
(10)
Optimization & Theory Β· Machine Learning
(9)
Core Methods
(7)
Deep Learning
(3)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Artificial Intelligence
(2)
Natural Language Processing
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Core AI
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Optimization & Theory Β· Deep Learning
(2)
Techniques
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Computer Vision
(1)
Data Science & Analytics
(1)
Keywords
distributed learning
(3)
support recovery
(2)
model quantization
(1)
image classification
(1)
semi-supervised learning
(1)
image generation
(1)
statistical inference
(1)
communication complexity
(1)
binary classification
(1)
domain adaptation
(1)
style transfer
(1)
attention mechanism
(1)
neural machine translation
(1)
robust statistics
(1)
self-attention mechanism
(1)
representation learning
(1)
distributed optimization
(1)
markov decision process
(1)
quantile regression
(1)
matrix decomposition
(1)
Papers
Distributed Estimation on Semi-Supervised Generalized Linear Model
JMLR 2024
OneBit: Towards Extremely Low-bit Large Language Models
NeurIPS 2024
Pluggable Neural Machine Translation Models via Memory-augmented Adapters
COLING 2024
ST$_k$: A Scalable Module for Solving Top-k Problems
NeurIPS 2024
Byzantine-tolerant distributed multiclass sparse linear discriminant analysis
UAI 2022
Variance Reduced Median-of-Means Estimator for Byzantine-Robust Distributed Inference
JMLR 2021
Bayesian Decision Process for Budget-efficient Crowdsourced Clustering
IJCAI 2020
Distributed High-dimensional Regression Under a Quantile Loss Function
JMLR 2020
Median Matrix Completion: from Embarrassment to Optimality
ICML 2020
Attention-Aware Multi-Stroke Style Transfer
CVPR 2019
Distributed Inference for Linear Support Vector Machine
JMLR 2019