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09/07/2023
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Open Information Extraction (OIE) task aims at extracting structured fac...
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08/31/2023
Adaptation Speed Analysis for Fairness-aware Causal Models
For example, in machine translation tasks, to achieve bidirectional tran...
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05/30/2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models
Large language models (LLMs) have significantly advanced the field of na...
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04/20/2023
Multidimensional Uncertainty Quantification for Deep Neural Networks
Deep neural networks (DNNs) have received tremendous attention and achie...
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03/06/2023
Dynamic Prompting: A Unified Framework for Prompt Tuning
It has been demonstrated that prompt tuning is highly effective in effic...
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02/04/2023
Knowledge-enhanced Neural Machine Reasoning: A Review
Knowledge-enhanced neural machine reasoning has garnered significant att...
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06/12/2022
A Survey on Uncertainty Reasoning and Quantification for Decision Making: Belief Theory Meets Deep Learning
An in-depth understanding of uncertainty is the first step to making eff...
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03/01/2022
Layer Adaptive Deep Neural Networks for Out-of-distribution Detection
During the forward pass of Deep Neural Networks (DNNs), inputs gradually...
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02/05/2022
SEED: Sound Event Early Detection via Evidential Uncertainty
Sound Event Early Detection (SEED) is an essential task in recognizing t...
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09/01/2021
Boosting Cross-Lingual Transfer via Self-Learning with Uncertainty Estimation
Recent multilingual pre-trained language models have achieved remarkable...
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06/14/2021
RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning
Semi-supervised learning (SSL) algorithms have had great success in rece...
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12/26/2020
Multidimensional Uncertainty-Aware Evidential Neural Networks
Traditional deep neural networks (NNs) have significantly contributed to...
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10/24/2020
Uncertainty Aware Semi-Supervised Learning on Graph Data
Thanks to graph neural networks (GNNs), semi-supervised node classificat...
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10/07/2020
Robust Semi-Supervised Learning with Out of Distribution Data
Semi-supervised learning (SSL) based on deep neural networks (DNNs) has ...
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10/15/2019
Quantifying Classification Uncertainty using Regularized Evidential Neural Networks
Traditional deep neural nets (NNs) have shown the state-of-the-art perfo...
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10/12/2019
