Chris Jermaine
8 papers · 2018–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(6)
Artificial Intelligence
(5)
Deep Learning
(4)
Application Areas
(4)
Learning Paradigms · Artificial Intelligence
(3)
Optimization & Theory · Machine Learning
(3)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Analysis
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
model compression
(2)
neural network
(2)
few-shot learning
(2)
image classification
(2)
federated learning
(2)
posterior distribution
(1)
conditional generation
(1)
distributed learning
(1)
feature extraction
(1)
ensemble learning
(1)
lottery ticket hypothesis
(1)
transfer learning
(1)
distributed machine learning
(1)
distributed training
(1)
dropout regularization
(1)
probabilistic modeling
(1)
relational database
(1)
foundation model
(1)
parameter-efficient fine-tuning
(1)
neural network pruning
(1)
Papers
Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
NeurIPS 2024
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
ICML 2023
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
AISTATS 2023
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat
ICCV 2023
LOFT: Finding Lottery Tickets through Filter-wise Training
AISTATS 2023
Meta-Meta Classification for One-Shot Learning
WACV 2022
Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier
ICCV 2021
Neural Sketch Learning for Conditional Program Generation
ICLR 2018