Alexander J Ratner
8 papers · 2016–2023 · 1 venue · across top CS/AI venues
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Achievements
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🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
👥
Mega-Team · Squad
Venues
Top co-authors
Research topics
Machine Learning
(8)
Learning Types · Machine Learning
(5)
Application Areas
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Core AI
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Natural Language Processing
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Resources & Methods
(1)
Keywords
programmatic weak supervision
(2)
data augmentation
(2)
semi-supervised learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
influence function
(1)
label noise
(1)
downstream performance
(1)
generative model
(1)
multimodal dataset
(1)
bias mitigation
(1)
image-text pair
(1)
natural language understanding
(1)
sequence model
(1)
multi-task learning
(1)
clip model
(1)
pretraining dataset
(1)
discriminative model
(1)
probabilistic label
(1)
zero-shot learning
(1)
Papers
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
NeurIPS 2023
DataComp: In search of the next generation of multimodal datasets
NeurIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NeurIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
NeurIPS 2023
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NeurIPS 2022
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NeurIPS 2019
Learning to Compose Domain-Specific Transformations for Data Augmentation
NeurIPS 2017
Data Programming: Creating Large Training Sets, Quickly
NeurIPS 2016