Alexander J Ratner
8 papers · 2016–2023 · 1 conference · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π Cross-Pollinator (15) π Interdisciplinary Bridge π Academic Marathon (7) π§ Keyword Pioneer
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Mega-Team
(34)
Conferences
NIPS (8)
Top co-authors
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)
discriminative model
(1)
probabilistic label
(1)
residual learning
(1)
zero-shot learning
(1)
Papers
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
NIPS 2023
Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
NIPS 2023
DataComp: In search of the next generation of multimodal datasets
NIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias
NIPS 2023
Understanding Programmatic Weak Supervision via Source-aware Influence Function
NIPS 2022
Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices
NIPS 2019
Learning to Compose Domain-Specific Transformations for Data Augmentation
NIPS 2017
Data Programming: Creating Large Training Sets, Quickly
NIPS 2016