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05/06/2023
Rethinking Class Imbalance in Machine Learning
Imbalance learning is a subfield of machine learning that focuses on lea...
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04/26/2023
Implicit Counterfactual Data Augmentation for Deep Neural Networks
Machine-learning models are prone to capturing the spurious correlations...
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04/25/2023
Combining Adversaries with Anti-adversaries in Training
Adversarial training is an effective learning technique to improve the r...
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01/12/2023
Understanding Difficulty-based Sample Weighting with a Universal Difficulty Measure
Sample weighting is widely used in deep learning. A large number of weig...
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10/11/2022
A Latent Logistic Regression Model with Graph Data
Recently, graph (network) data is an emerging research area in artificia...
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09/13/2022
Class-Level Logit Perturbation
Features, logits, and labels are the three primary data when a sample pa...
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05/16/2022
Exploring the Learning Difficulty of Data Theory and Measure
As learning difficulty is crucial for machine learning (e.g., difficulty...
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10/11/2021
Which Samples Should be Learned First: Easy or Hard?
An effective weighting scheme for training samples is essential for lear...
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07/26/2021
Compensation Learning
Weighting strategy prevails in machine learning. For example, a common a...
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06/10/2021
A Mathematical Foundation for Robust Machine Learning based on Bias-Variance Trade-off
A common assumption in machine learning is that samples are independentl...
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04/05/2021
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm
In recent years, Graph Neural Network (GNN) has bloomly progressed for i...
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11/01/2020
AI Marker-based Large-scale AI Literature Mining
The knowledge contained in academic literature is interesting to mine. I...
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10/26/2020
Method and Dataset Entity Mining in Scientific Literature: A CNN + Bi-LSTM Model with Self-attention
Literature analysis facilitates researchers to acquire a good understand...
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12/01/2019
AntNet: Deep Answer Understanding Network for Natural Reverse QA
This study refers to a reverse question answering(reverse QA) procedure,...
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11/29/2019
Method and Dataset Mining in Scientific Papers
Literature analysis facilitates researchers better understanding the dev...
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01/12/2019
Semi-interactive Attention Network for Answer Understanding in Reverse-QA
Question answering (QA) is an important natural language processing (NLP...
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06/02/2018
Detecting Adversarial Examples via Key-based Network
Though deep neural networks have achieved state-of-the-art performance i...
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03/21/2018
ρ-hot Lexicon Embedding-based Two-level LSTM for Sentiment Analysis
Sentiment analysis is a key component in various text mining application...
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08/07/2012
