Jonathan Lorraine
6 papers · 2019–2024 · 4 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (4) π Academic Marathon (5) π Cross-Pollinator (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(17)
Conferences
ICLR (2)
NIPS (2)
AISTATS (1)
ICCV (1)
Top co-authors
Keywords
hyperparameter optimization
(2)
implicit differentiation
(2)
model selection
(1)
self-supervised learning
(1)
data augmentation
(1)
model behavior
(1)
data valuation
(1)
deep learning
(1)
gradient-based method
(1)
generative model
(1)
training data attribution
(1)
influence function
(1)
approximate unrolling
(1)
counterfactual prediction
(1)
neural radiance field
(1)
model interpretation
(1)
inverse hessian approximation
(1)
data augmentation network
(1)
implicit function theorem
(1)
knowledge sharing
(1)
Papers
Training Data Attribution via Approximate Unrolling
NIPS 2024
Graph Metanetworks for Processing Diverse Neural Architectures
ICLR 2024
ATT3D: Amortized Text-to-3D Object Synthesis
ICCV 2023
Meta-learning to Improve Pre-training
NIPS 2021
Optimizing Millions of Hyperparameters by Implicit Differentiation
AISTATS 2020
Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions
ICLR 2019