Oscar Li
5 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(4)
Application Areas
(2)
Learning Types Β· Machine Learning
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Analysis
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types Β· Deep Learning
(1)
Methods
(1)
Keywords
image classification
(1)
benchmark evaluation
(1)
few-shot learning
(1)
prototype learning
(1)
weakly supervised learning
(1)
neural network interpretability
(1)
gradient estimation
(1)
online optimization
(1)
variance reduction
(1)
distribution shift
(1)
adversarial attack
(1)
task distribution
(1)
privacy protection
(1)
out-of-distribution evaluation
(1)
few-shot classification
(1)
deep network
(1)
label leakage
(1)
split learning
(1)
prototypical part
(1)
evolution strategy
(1)
Papers
GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients
EMNLP 2024
Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies
NeurIPS 2023
Label Leakage and Protection in Two-party Split Learning
ICLR 2022
Two Sides of Meta-Learning Evaluation: In vs. Out of Distribution
NeurIPS 2021
This Looks Like That: Deep Learning for Interpretable Image Recognition
NeurIPS 2019