Daniel Rubin
11 papers · 2017–2023 · 8 venues · across top CS/AI venues
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self-supervised learning
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semi-supervised learning
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text classification
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structure learning
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probabilistic modeling
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representation learning
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domain adaptation
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catastrophic forgetting
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natural language processing
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transfer learning
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information extraction
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domain generalization
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attention mechanism
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contrastive learning
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natural language generation
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named entity recognition
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multimodal learning
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Papers
ATCON: Attention Consistency for Vision Models
WACV 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
MIDL 2023
RaLEs: a Benchmark for Radiology Language Evaluations
NeurIPS 2023
Semi-Supervised Learning for Sparsely-Labeled Sequential Data: Application to Healthcare Video Processing
WACV 2023
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity
MLHC 2022
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning
CVPR 2022
Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis
ICLR 2022
QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization
NAACL 2021
Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
MIDL 2020
Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract)
AAAI 2020
Inferring Generative Model Structure with Static Analysis
NeurIPS 2017