Hrayr Harutyunyan

According to our database, Hrayr Harutyunyan authored at least 15 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

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

Hrayr Harutyunyan

CoRR, 2023

Identifying and Disentangling Spurious Features in Pretrained Image Representations.

Rafayel Darbinyan, Hrayr Harutyunyan, Aram H. Markosyan, Hrant Khachatrian

CoRR, 2023

Supervision Complexity and its Role in Knowledge Distillation.

Hrayr Harutyunyan, Ankit Singh Rawat, Aditya Krishna Menon, Seungyeon Kim, Sanjiv Kumar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Meta-Learning Approach to Predicting Performance and Data Requirements.

Achin Jain, Gurumurthy Swaminathan, Paolo Favaro, Hao Yang, Avinash Ravichandran, Hrayr Harutyunyan, Alessandro Achille, Onkar Dabeer, Bernt Schiele, Ashwin Swaminathan, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Identifying geopolitical event precursors using attention-based LSTMs.

K. S. M. Tozammel Hossain, Hrayr Harutyunyan, Yue Ning, Brendan Kennedy, Naren Ramakrishnan, Aram Galstyan

Frontiers Artif. Intell., 2022

Formal limitations of sample-wise information-theoretic generalization bounds.

Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan

Proceedings of the IEEE Information Theory Workshop, 2022

Failure Modes of Domain Generalization Algorithms.

Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Information-theoretic generalization bounds for black-box learning algorithms.

Hrayr Harutyunyan, Maxim Raginsky, Greg Ver Steeg, Aram Galstyan

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating informativeness of samples with Smooth Unique Information.

Hrayr Harutyunyan, Alessandro Achille, Giovanni Paolini, Orchid Majumder, Avinash Ravichandran, Rahul Bhotika, Stefano Soatto

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Improving generalization by controlling label-noise information in neural network weights.

Hrayr Harutyunyan, Kyle Reing, Greg Ver Steeg, Aram Galstyan

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Efficient Covariance Estimation from Temporal Data.

Hrayr Harutyunyan, Daniel Moyer, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan

CoRR, 2019

Fast structure learning with modular regularization.

Greg Ver Steeg, Hrayr Harutyunyan, Daniel Moyer, Aram Galstyan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing.

Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Multitask Learning and Benchmarking with Clinical Time Series Data.

Hrayr Harutyunyan, Hrant Khachatrian, David C. Kale, Aram Galstyan

CoRR, 2017

Disentangled representations via synergy minimization.

Greg Ver Steeg, Rob Brekelmans, Hrayr Harutyunyan, Aram Galstyan

Proceedings of the 55th Annual Allerton Conference on Communication, 2017