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08/24/2023
Attention-Based Acoustic Feature Fusion Network for Depression Detection
Depression, a common mental disorder, significantly influences individua...
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05/31/2023
ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning
Two-Tower Vision-Language (VL) models have shown promising improvements ...
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05/17/2023
OpenSLU: A Unified, Modularized, and Extensible Toolkit for Spoken Language Understanding
Spoken Language Understanding (SLU) is one of the core components of a t...
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04/18/2023
A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification
Cross-domain text classification aims to adapt models to a target domain...
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04/09/2023
A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding
Zero-shot dialogue understanding aims to enable dialogue to track the us...
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02/04/2023
Semantic-Guided Image Augmentation with Pre-trained Models
Image augmentation is a common mechanism to alleviate data scarcity in c...
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01/11/2023
Towards a unified nonlocal, peridynamics framework for the coarse-graining of molecular dynamics data with fractures
Molecular dynamics (MD) has served as a powerful tool for designing mate...
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12/15/2022
Variable Clustering via Distributionally Robust Nodewise Regression
We study a multi-factor block model for variable clustering and connect ...
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06/17/2022
Bridge-Tower: Building Bridges Between Encoders in Vision-Language Representation Learning
Vision-Language (VL) models with the Two-Tower architecture have dominat...
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01/26/2022
Machine-learning of nonlocal kernels for anomalous subsurface transport from breakthrough curves
Anomalous behavior is ubiquitous in subsurface solute transport due to t...
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12/22/2021
Text is no more Enough! A Benchmark for Profile-based Spoken Language Understanding
Current researches on spoken language understanding (SLU) heavily are li...
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09/23/2021
Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System
Consistency Identification has obtained remarkable success on open-domai...
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06/03/2021
GL-GIN: Fast and Accurate Non-Autoregressive Model for Joint Multiple Intent Detection and Slot Filling
Multi-intent SLU can handle multiple intents in an utterance, which has ...
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05/31/2021
Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study
This study aimed to develop a classifier of prognosis after resection or...
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05/15/2021
A FETI approach to domain decomposition for meshfree discretizations of nonlocal problems
We propose a domain decomposition method for the efficient simulation of...
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01/04/2021
A machine-learning framework for peridynamic material models with physical constraints
As a nonlocal extension of continuum mechanics, peridynamics has been wi...
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04/23/2020
Dynamic Fusion Network for Multi-Domain End-to-end Task-Oriented Dialog
Recent studies have shown remarkable success in end-to-end task-oriented...
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04/21/2020
TD-GIN: Token-level Dynamic Graph-Interactive Network for Joint Multiple Intent Detection and Slot Filling
Intent detection and slot filling are two main tasks for building a spok...
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03/04/2020
Deriving peridynamic influence functions for one-dimensional elastic materials with periodic microstructure
The influence function in peridynamic material models has a large effect...
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02/29/2020
Contextual-Bandit Based Personalized Recommendation with Time-Varying User Interests
A contextual bandit problem is studied in a highly non-stationary enviro...
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02/26/2020
Memory-Constrained No-Regret Learning in Adversarial Bandits
An adversarial bandit problem with memory constraints is studied where o...
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02/20/2020
Distributed No-Regret Learning in Multi-Agent Systems
In this tutorial article, we give an overview of new challenges and repr...
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04/18/2019
Inpatient2Vec: Medical Representation Learning for Inpatients
Representation learning (RL) plays an important role in extracting prope...
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02/12/2018