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08/31/2023
RAMP: Retrieval-Augmented MOS Prediction via Confidence-based Dynamic Weighting
Automatic Mean Opinion Score (MOS) prediction is crucial to evaluate the...
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08/31/2023
Supervised Contrastive Learning with Nearest Neighbor Search for Speech Emotion Recognition
Speech Emotion Recognition (SER) is a challenging task due to limited da...
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08/15/2023
Better Zero-Shot Reasoning with Role-Play Prompting
Modern large language models (LLMs), such as ChatGPT, exhibit a remarkab...
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06/05/2023
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications
As a main field of artificial intelligence, natural language processing ...
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06/01/2023
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction
Recently, aspect sentiment quad prediction has received widespread atten...
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05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
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05/08/2023
PromptRank: Unsupervised Keyphrase Extraction Using Prompt
The keyphrase extraction task refers to the automatic selection of phras...
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02/22/2023
MADI: Inter-domain Matching and Intra-domain Discrimination for Cross-domain Speech Recognition
End-to-end automatic speech recognition (ASR) usually suffers from perfo...
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10/19/2022
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
Recently, aspect sentiment quad prediction (ASQP) has become a popular t...
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09/18/2022
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
Despite the great progress of Visual Question Answering (VQA), current V...
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09/06/2021
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement
A mind-map is a diagram that represents the central concept and key idea...
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05/29/2021
Multi-Label Few-Shot Learning for Aspect Category Detection
Aspect category detection (ACD) in sentiment analysis aims to identify t...
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07/24/2020
Dynamic Knowledge Distillation for Black-box Hypothesis Transfer Learning
In real world applications like healthcare, it is usually difficult to b...
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11/16/2019
S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search
Recently, dynamic inference has emerged as a promising way to reduce the...
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10/05/2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics
Bayesian deep learning is recently regarded as an intrinsic way to chara...
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09/25/2019
Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is to predict the sentiment polar...
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08/24/2019
Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification
Cross-domain sentiment classification has drawn much attention in recent...
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08/21/2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
In this paper, we aim to understand the generalization properties of gen...
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08/21/2019
Improving Captioning for Low-Resource Languages by Cycle Consistency
Improving the captioning performance on low-resource languages by levera...
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05/30/2019
P3SGD: Patient Privacy Preserving SGD for Regularizing Deep CNNs in Pathological Image Classification
Recently, deep convolutional neural networks (CNNs) have achieved great ...
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12/27/2018
CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis
Aspect level sentiment classification is a fine-grained sentiment analys...
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10/17/2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks
In healthcare, applying deep learning models to electronic health record...
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09/07/2018
Infinite Curriculum Learning for Efficiently Detecting Gastric Ulcers in WCE Images
The Wireless Capsule Endoscopy (WCE) is becoming a popular way of screen...
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06/30/2018