Hrant Khachatrian

Multitask learning and benchmarking with clinical time series data

Aram Galstyan, Hrant Khachatrian, David C. Kale, 2017, Scientific Data.

WARP: Word-level Adversarial ReProgramming

Karen Hambardzumyan, Jonathan May, H. Khachatrian, 2021, ACL.

BARTSmiles: Generative Masked Language Models for Molecular Representations

Karen Hambardzumyan, N. Babayan, L. Khondkaryan, 2022, ArXiv.

Failure Modes of Domain Generalization Algorithms

Aram Galstyan, Greg Ver Steeg, Hrayr Harutyunyan, 2021, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

ML-based Approaches for Wireless NLOS Localization: Input Representations and Uncertainty Estimation

Theofanis P. Raptis, Hrant Khachatrian, R. Darbinyan, 2023, 2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService).

Deep Semi-Supervised Image Classification Algorithms: a Survey

H. Khachatrian, Ani Vanyan, Hrant Khachatrian, 2021, J. Univers. Comput. Sci..

Analyzing Local Representations of Self-supervised Vision Transformers

Vahan Huroyan, Martin Danelljan, Ani Vanyan, 2023, arXiv.org.

Making Small Language Models Better Few-Shot Learners

Karen Hambardzumyan, Yinhan Liu, Myle Ott, 2021 .

Improving VAE based molecular representations for compound property prediction

H. Stopper, N. Babayan, L. Khondkaryan, 2022, Journal of Cheminformatics.

Datasets Construction and Development of QSAR Models for Predicting Micronucleus In Vitro and In Vivo Assay Outcomes

N. Babayan, L. Khondkaryan, G. Tadevosyan, 2023, Toxics.

YerevaNN’s Systems for WMT20 Biomedical Translation Task: The Effect of Fixing Misaligned Sentence Pairs

Karen Hambardzumyan, Hrant Khachatrian, Hovhannes Tamoyan, 2020, WMT.