Vladislav Lialin

According to our database, Vladislav Lialin authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo

CoRR, 2024

2023

Let's Reinforce Step by Step.

Sarah Pan, Vladislav Lialin, Sherin Muckatira, Anna Rumshisky

CoRR, 2023

Stack More Layers Differently: High-Rank Training Through Low-Rank Updates.

Vladislav Lialin, Namrata Shivagunde, Sherin Muckatira, Anna Rumshisky

CoRR, 2023

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning.

Vladislav Lialin, Vijeta Deshpande, Anna Rumshisky

CoRR, 2023

Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data.

Vladislav Lialin, Stephen Rawls, David Chan, Shalini Ghosh, Anna Rumshisky, Wael Hamza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning.

Namrata Shivagunde, Vladislav Lialin, Anna Rumshisky

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Honey, I Shrunk the Language: Language Model Behavior at Reduced Scale.

Vijeta Deshpande, Dan Pechi, Shree Thatte, Vladislav Lialin, Anna Rumshisky

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Learning to Ask Like a Physician.

Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits

CoRR, 2022

Life after BERT: What do Other Muppets Understand about Language?

Vladislav Lialin, Kevin Zhao, Namrata Shivagunde, Anna Rumshisky

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2020

Continual Learning for Neural Semantic Parsing.

Vladislav Lialin, Rahul Goel, Andrey Simanovsky, Anna Rumshisky, Rushin Shah

CoRR, 2020

2019

Injecting Hierarchy with U-Net Transformers.

David Donahue, Vladislav Lialin, Anna Rumshisky

CoRR, 2019