Jialin Mao
5 papers · 2017–2023 · 2 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (2) π Academic Marathon (6) π Cross-Pollinator (13)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(23)
β
The Questioner
π
Trend Setter
Conferences
NIPS (3)
ICML (2)
Top co-authors
Research topics
Keywords
reinforcement learning
(2)
multiset prediction
(2)
image classification
(1)
contrastive learning
(1)
semi-supervised learning
(1)
vision transformer
(1)
neural network training
(1)
sequential decision making
(1)
model architecture
(1)
deep learning
(1)
neural network optimization
(1)
efficient computing
(1)
distribution matching
(1)
visual attention
(1)
saliency map
(1)
differential privacy
(1)
information geometry
(1)
generalization bound
(1)
pac-bayes bound
(1)
convolutional neural network
(1)
Papers
A Picture of the Space of Typical Learnable Tasks
ICML 2023
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
NIPS 2022
Does the Data Induce Capacity Control in Deep Learning?
ICML 2022
Loss Functions for Multiset Prediction
NIPS 2018
Saliency-based Sequential Image Attention with Multiset Prediction
NIPS 2017