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05/21/2023
WOT-Class: Weakly Supervised Open-world Text Classification
State-of-the-art weakly supervised text classification methods, while si...
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02/19/2023
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space
The output distribution of a neural network (NN) over the entire input s...
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09/29/2021
Can multi-label classification networks know what they don't know?
Estimating out-of-distribution (OOD) uncertainty is a central challenge ...
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08/08/2021
MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting
Traffic forecasting is a core element of intelligent traffic monitoring ...
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10/08/2020
Energy-based Out-of-distribution Detection
Determining whether inputs are out-of-distribution (OOD) is an essential...
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04/13/2020
CLUE: A Chinese Language Understanding Evaluation Benchmark
We introduce CLUE, a Chinese Language Understanding Evaluation benchmark...
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01/13/2020
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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01/13/2020
CLUENER2020: Fine-grained Name Entity Recognition for Chinese
In this paper, we introduce the NER dataset from CLUE organization (CLUE...
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11/21/2019
Unsupervised Object Segmentation with Explicit Localization Module
In this paper, we propose a novel architecture that iteratively discover...
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07/08/2019
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
Multiple sequence to sequence models were used to establish an end-to-en...
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06/15/2018
Sample-Efficient Deep RL with Generative Adversarial Tree Search
We propose Generative Adversarial Tree Search (GATS), a sample-efficient...
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05/20/2018