Karlinsky, Leonid

Joint Audio and Speech Understanding

Gong, Y., Liu, A. H., Luo, H., Karlinsky, L., & Glass, J. (2023) · arXiv

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 67

Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers

Gong, Y., Khurana, S., Karlinsky, L., & Glass, J. (2023) · INTERSPEECH 2023

Speech Recognition and SynthesisMusic and Audio Processing

Cited by 65

Fine-grained Angular Contrastive Learning with Coarse Labels

Bukchin, G., Schwartz, E., Saenko, K., Shahar, O., Feris, R., Giryes, R., & Karlinsky, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 55

Listen, Think, and Understand

Gong, Y., Luo, H., Liu, A. H., Karlinsky, L., & Glass, J. (2023) · arXiv

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 43

NumeroLogic: Number Encoding for Enhanced LLMs’ Numerical Reasoning

Schwartz, E., Choshen, L., Shtok, J., Doveh, S., Karlinsky, L., & Arbelle, A. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 14

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

He, Z., Karlinsky, L., Kim, D., McAuley, J., Krotov, D., & Feris, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0