Jesse Berent
6 papers · 2019–2023 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 👑 Triple Crown
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The Questioner
Venues
Top co-authors
Research topics
Keywords
image classification
(4)
label noise
(3)
privileged information
(2)
object detection
(1)
weakly supervised learning
(1)
multimodal learning
(1)
covariance matrix
(1)
weight sharing
(1)
latent variable
(1)
pre-trained model
(1)
vision-language model
(1)
clean sample selection
(1)
zero-shot classification
(1)
training data
(1)
temperature scaling
(1)
aleatoric uncertainty
(1)
heteroscedastic noise
(1)
noisy data
(1)
image-level annotation
(1)
neural network
(1)
Papers
Massively Scaling Heteroscedastic Classifiers
ICLR 2023
Three Towers: Flexible Contrastive Learning with Pretrained Image Models
NeurIPS 2023
When does Privileged information Explain Away Label Noise?
ICML 2023
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information
ICML 2022
Correlated Input-Dependent Label Noise in Large-Scale Image Classification
CVPR 2021
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
ICCV 2019