Jonathan Lorraine
6 papers · 2019–2024 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
📈
Trend Setter
Venues
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Machine Learning
(4)
Optimization & Theory · Machine Learning
(4)
Learning Types · Machine Learning
(3)
Core AI
(2)
Core Methods
(2)
Learning Paradigms · Artificial Intelligence
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
hyperparameter optimization
(3)
implicit differentiation
(2)
model selection
(1)
gradient-based optimization
(1)
self-supervised learning
(1)
data augmentation
(1)
model behavior
(1)
data valuation
(1)
deep learning
(1)
neural architecture
(1)
gradient-based method
(1)
bilevel optimization
(1)
generative model
(1)
training data attribution
(1)
influence function
(1)
approximate unrolling
(1)
counterfactual prediction
(1)
neural radiance field
(1)
equivariant learning
(1)
parameter space
(1)
Papers
Graph Metanetworks for Processing Diverse Neural Architectures
ICLR 2024
Training Data Attribution via Approximate Unrolling
NeurIPS 2024
ATT3D: Amortized Text-to-3D Object Synthesis
ICCV 2023
Meta-learning to Improve Pre-training
NeurIPS 2021
Optimizing Millions of Hyperparameters by Implicit Differentiation
AISTATS 2020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
ICLR 2019