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08/29/2023
Elucidating the Exposure Bias in Diffusion Models
Diffusion models have demonstrated impressive generative capabilities, b...
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06/13/2023
Rank-Aware Negative Training for Semi-Supervised Text Classification
Semi-supervised text classification-based paradigms (SSTC) typically emp...
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08/05/2022
Global Pointer: Novel Efficient Span-based Approach for Named Entity Recognition
Named entity recognition (NER) task aims at identifying entities from a ...
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08/05/2022
ZLPR: A Novel Loss for Multi-label Classification
In the era of deep learning, loss functions determine the range of tasks...
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03/22/2022
BERT-ASC: Auxiliary-Sentence Construction for Implicit Aspect Learning in Sentiment Analysis
Aspect-based sentiment analysis (ABSA) task aims to associate a piece of...
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12/23/2021
Sparse-softmax: A Simpler and Faster Alternative Softmax Transformation
The softmax function is widely used in artificial neural networks for th...
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10/10/2021
ZARTS: On Zero-order Optimization for Neural Architecture Search
Differentiable architecture search (DARTS) has been a popular one-shot p...
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09/26/2021
BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models
Copy mechanisms explicitly obtain unchanged tokens from the source (inpu...
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04/20/2021
RoFormer: Enhanced Transformer with Rotary Position Embedding
Position encoding in transformer architecture provides supervision for d...
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03/29/2021
Whitening Sentence Representations for Better Semantics and Faster Retrieval
Pre-training models such as BERT have achieved great success in many nat...
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11/29/2020
Multi-stage Attention ResU-Net for Semantic Segmentation of Fine-Resolution Remote Sensing Images
The attention mechanism can refine the extracted feature maps and boost ...
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09/03/2020
Multi-Attention-Network for Semantic Segmentation of High-Resolution Remote Sensing Images
Semantic segmentation of remote sensing images plays an important role i...
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07/29/2020
Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation
In this paper, to remedy this deficiency, we propose a Linear Attention ...
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09/10/2019
Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy
Joint extraction of entities and relations aims to detect entity pairs a...
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09/07/2019
A Novel Hierarchical Binary Tagging Framework for Joint Extraction of Entities and Relations
Extracting relational triples from unstructured text is crucial for larg...
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03/05/2019
O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks
In this paper, we propose Orthogonal Generative Adversarial Networks (O-...
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01/29/2019
Evaluating Generalization Ability of Convolutional Neural Networks and Capsule Networks for Image Classification via Top-2 Classification
Image classification is a challenging problem which aims to identify the...
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11/18/2018
GAN-QP: A Novel GAN Framework without Gradient Vanishing and Lipschitz Constraint
We know SGAN may have a risk of gradient vanishing. A significant improv...
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10/25/2018
Training Generative Adversarial Networks Via Turing Test
In this article, we introduce a new mode for training Generative Adversa...
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09/16/2018
f-VAEs: Improve VAEs with Conditional Flows
In this paper, we integrate VAEs and flow-based generative models succes...
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07/16/2018