19 citations · 36 across the 7 of their papers we have counts for
7 papers
Time Series Language Model for Descriptive Caption Generation
Mohamed Trabelsi, Aidan Boyd, Jin Cao +1
The automatic generation of representative natural language descriptions for observable patterns in time series data enhances interpretability, simplifies analysis and increases cr…
Recurrent Neural Network from Adder's Perspective: Carry-lookahead RNN
Haowei Jiang, Feiwei Qin, Jin Cao +2
The recurrent network architecture is a widely used model in sequence modeling, but its serial dependency hinders the computation parallelization, which makes the operation ineffic…
Zero-shot Generalization in Dialog State Tracking through Generative Question Answering
Shuyang Li, Jin Cao, Mukund Sridhar +4
Dialog State Tracking (DST), an integral part of modern dialog systems, aims to track user preferences and constraints (slots) in task-oriented dialogs. In real-world settings with…
Towards Semi-Supervised Semantics Understanding from Speech
Cheng-I Lai, Jin Cao, Sravan Bodapati +1
Much recent work on Spoken Language Understanding (SLU) falls short in at least one of three ways: models were trained on oracle text input and neglected the Automatics Speech Reco…
Style Attuned Pre-training and Parameter Efficient Fine-tuning for Spoken Language Understanding
Jin Cao, Jun Wang, Wael Hamza +2
Neural models have yielded state-of-the-art results in deciphering spoken language understanding (SLU) problems; however, these models require a significant amount of domain-specif…
Augmented Data Science: Towards Industrialization and Democratization of Data Science
Huseyin Uzunalioglu, Jin Cao, Chitra Phadke +5
Conversion of raw data into insights and knowledge requires substantial amounts of effort from data scientists. Despite breathtaking advances in Machine Learning (ML) and Artificia…