Hrayr Harutyunyan | DeepAI

AI Chat

Featured Co-authors

Bernt Schiele
161 publications
Stefano Soatto
136 publications
Hao Yang
100 publications
Sanjiv Kumar
74 publications
Aram Galstyan
73 publications
Kristina Lerman
62 publications
Greg Ver Steeg
48 publications
Paolo Favaro
48 publications
Alessandro Achille
46 publications
Aditya Krishna Menon
35 publications
Ankit Singh Rawat
31 publications

∙ 06/28/2023

On information captured by neural networks: connections with memorization and generalization

Despite the popularity and success of deep learning, there is limited un...

0 Hrayr Harutyunyan, et al. ∙

∙ 06/22/2023

Identifying and Disentangling Spurious Features in Pretrained Image Representations

Neural networks employ spurious correlations in their predictions, resul...

0 Rafayel Darbinyan, et al. ∙

∙ 03/02/2023

A Meta-Learning Approach to Predicting Performance and Data Requirements

We propose an approach to estimate the number of samples required for a ...

0 Achin Jain, et al. ∙

∙ 01/28/2023

Supervision Complexity and its Role in Knowledge Distillation

Despite the popularity and efficacy of knowledge distillation, there is ...

8 Hrayr Harutyunyan, et al. ∙

∙ 10/04/2021

Information-theoretic generalization bounds for black-box learning algorithms

We derive information-theoretic generalization bounds for supervised lea...

2 Hrayr Harutyunyan, et al. ∙

∙ 01/17/2021

Estimating informativeness of samples with Smooth Unique Information

We define a notion of information that an individual sample provides to ...

6 Hrayr Harutyunyan, et al. ∙

∙ 02/19/2020

Improving Generalization by Controlling Label-Noise Information in Neural Network Weights

In the presence of noisy or incorrect labels, neural networks have the u...

23 Hrayr Harutyunyan, et al. ∙

∙ 05/30/2019

Efficient Covariance Estimation from Temporal Data

Estimating the covariance structure of multivariate time series is a fun...

3 Hrayr Harutyunyan, et al. ∙

∙ 04/30/2019

MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing

Existing popular methods for semi-supervised learning with Graph Neural ...

10 Sami Abu-El-Haija, et al. ∙

∙ 03/22/2017

Multitask Learning and Benchmarking with Clinical Time Series Data

Health care is one of the most exciting frontiers in data mining and mac...

0 Hrayr Harutyunyan, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world