Stefani Karp
6 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(24)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(6)
Deep Learning
(4)
Architectures
(3)
Artificial Intelligence
(2)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Natural Language Processing
(1)
Core AI
(1)
Generation
(1)
Learning Paradigms · Machine Learning
(1)
Learning Paradigms · Artificial Intelligence
(1)
Models
(1)
Keywords
image classification
(2)
convolutional neural network
(2)
language model
(2)
neural tangent kernel
(1)
efficient training
(1)
feature learning
(1)
few-shot learning
(1)
transfer learning
(1)
convex optimization
(1)
natural language processing
(1)
logistic regression
(1)
sample complexity
(1)
model pretraining
(1)
neural network optimization
(1)
renyi divergence
(1)
agnostic learning
(1)
halfspace learning
(1)
weight sharing
(1)
pac-bayes bound
(1)
inductive bia
(1)
Papers
On the Inductive Bias of Stacking Towards Improving Reasoning
NeurIPS 2024
Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
ICLR 2024
Efficient Training of Language Models using Few-Shot Learning
ICML 2023
Agnostic Learnability of Halfspaces via Logistic Loss
ICML 2022
Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
NeurIPS 2021
PAC-Bayes Learning Bounds for Sample-Dependent Priors
NeurIPS 2020