Hrayr Harutyunyan
9 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Venues
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Research topics
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(6)
Application Areas
(4)
Artificial Intelligence
(3)
Core Methods
(3)
Deep Learning
(2)
Core AI
(2)
Learning Paradigms
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Architectures
(1)
Mathematics
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Techniques
(1)
Keywords
generalization bound
(2)
generalization error
(2)
model compression
(1)
neural tangent kernel
(1)
semi-supervised learning
(1)
feature learning
(1)
structure learning
(1)
parameter sharing
(1)
knowledge distillation
(1)
supervised learning
(1)
covariance estimation
(1)
mutual information
(1)
label noise
(1)
domain generalization
(1)
learning theory
(1)
weight regularization
(1)
statistical learning
(1)
graphical model
(1)
latent factor model
(1)
information theory
(1)
Papers
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
ICLR 2025
A Meta-Learning Approach to Predicting Performance and Data Requirements
CVPR 2023
Supervision Complexity and its Role in Knowledge Distillation
ICLR 2023
Failure Modes of Domain Generalization Algorithms
CVPR 2022
Estimating informativeness of samples with Smooth Unique Information
ICLR 2021
Information-theoretic generalization bounds for black-box learning algorithms
NeurIPS 2021
Improving generalization by controlling label-noise information in neural network weights
ICML 2020
Fast structure learning with modular regularization
NeurIPS 2019
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
ICML 2019