Aditya Nori
11 papers · 2013–2024 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Half
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Research topics
Machine Learning
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Artificial Intelligence
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Core AI
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Optimization & Theory
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Deep Learning
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Natural Language Processing
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Bayesian & Probabilistic · Artificial Intelligence
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Bayesian & Probabilistic · Machine Learning
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Keywords
causal inference
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representation learning
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sparse recovery
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compressed sensing
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privacy attack
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continual learning
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semi-supervised learning
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domain generalization
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bayesian learning
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domain adaptation
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bayesian inference
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label propagation
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self-supervised learning
(1)
medical imaging
(1)
natural language inference
(1)
multimodal learning
(1)
text summarization
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model architecture
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conditional computation
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differential privacy
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Papers
RadEdit: stress-testing biomedical vision models via diffusion image editing
ECCV 2024
Exploring the Boundaries of GPT-4 in Radiology
EMNLP 2023
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
CVPR 2023
Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing
ECCV 2022
Repairing Neural Networks by Leaving the Right Past Behind
NeurIPS 2022
Alleviating Privacy Attacks via Causal Learning
ICML 2020
Adaptive Neural Trees
ICML 2019
Semi-Supervised Learning via Compact Latent Space Clustering
ICML 2018
Measuring Neural Net Robustness with Constraints
NeurIPS 2016
Efficiently Sampling Probabilistic Programs via Program Analysis
AISTATS 2013
One-Bit Compressed Sensing: Provable Support and Vector Recovery
ICML 2013