8 citations · 16 across the 4 of their papers we have counts for
7 papers
CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization
Zi Yang, Ziyue Liu, Samridhi Choudhary +4
Training large AI models such as LLMs and DLRMs costs massive GPUs and computing time. The high training cost has become only affordable to big tech companies, meanwhile also causi…
Quantization-Aware and Tensor-Compressed Training of Transformers for Natural Language Understanding
Zi Yang, Samridhi Choudhary, Siegfried Kunzmann +1
Fine-tuned transformer models have shown superior performances in many natural language tasks. However, the large model size prohibits deploying high-performance transformer models…
End-to-End Spoken Language Understanding for Generalized Voice Assistants
Michael Saxon, Samridhi Choudhary, Joseph P. McKenna +1
End-to-end (E2E) spoken language understanding (SLU) systems predict utterance semantics directly from speech using a single model. Previous work in this area has focused on target…
Extreme Model Compression for On-device Natural Language Understanding
Kanthashree Mysore Sathyendra, Samridhi Choudhary, Leah Nicolich-Henkin
In this paper, we propose and experiment with techniques for extreme compression of neural natural language understanding (NLU) models, making them suitable for execution on resour…
Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding
Bhuvan Agrawal, Markus Müller, Martin Radfar +3
End-to-end (E2E) spoken language understanding (SLU) systems can infer the semantics of a spoken utterance directly from an audio signal. However, training an E2E system remains a…
Semantic Complexity in End-to-End Spoken Language Understanding
Joseph P. McKenna, Samridhi Choudhary, Michael Saxon +2
End-to-end spoken language understanding (SLU) models are a class of model architectures that predict semantics directly from speech. Because of their input and output types, we re…
Linguistic Markers of Influence in Informal Interactions
Shrimai Prabhumoye, Samridhi Choudhary, Evangelia Spiliopoulou +3
There has been a long standing interest in understanding `Social Influence' both in Social Sciences and in Computational Linguistics. In this paper, we present a novel approach to…