Daniel Rubin
11 papers · 2017–2023 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Cross-Pollinator (15) π Conference Polyglot (8) π Academic Marathon (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (24)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Trend Setter
ποΈ
Keyword Collector
(54)
π
Century Club
(11)
Conferences
MIDL (2)
NIPS (2)
WACV (2)
AAAI (1)
CVPR (1)
ICLR (1)
MLHC (1)
NAACL (1)
Top co-authors
Keywords
noisy label
(2)
semi-supervised learning
(2)
text classification
(2)
representation learning
(1)
structure learning
(1)
probabilistic modeling
(1)
catastrophic forgetting
(1)
transfer learning
(1)
domain adaptation
(1)
natural language processing
(1)
information extraction
(1)
domain generalization
(1)
self-supervised learning
(1)
attention mechanism
(1)
contrastive learning
(1)
natural language generation
(1)
named entity recognition
(1)
multimodal learning
(1)
image captioning
(1)
transformer architecture
(1)
Papers
RaLEs: a Benchmark for Radiology Language Evaluations
NIPS 2023
ATCON: Attention Consistency for Vision Models
WACV 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
MIDL 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
NIPS 2017