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05/23/2023
Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation
Gender bias is a significant issue in machine translation, leading to on...
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01/23/2023
Enabling Kernel Bypass Networking on gem5
Full-system simulation of computer systems is critical to capture the co...
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01/16/2023
Error-related Potential Variability: Exploring the Effects on Classification and Transferability
Brain-Computer Interfaces (BCI) have allowed for direct communication fr...
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05/10/2022
Privacy Enhancement for Cloud-Based Few-Shot Learning
Requiring less data for accurate models, few-shot learning has shown rob...
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03/07/2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Few-Shot Learning refers to the problem of learning the underlying patte...
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12/02/2021
Towards Intrinsic Interactive Reinforcement Learning
Reinforcement learning (RL) and brain-computer interfaces (BCI) are two ...
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11/17/2021
Transformation of Node to Knowledge Graph Embeddings for Faster Link Prediction in Social Networks
Recent advances in neural networks have solved common graph problems suc...
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09/30/2021
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models
Fact verification datasets are typically constructed using crowdsourcing...
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12/13/2020
Demysifying Deep Neural Networks Through Interpretation: A Survey
Modern deep learning algorithms tend to optimize an objective metric, su...
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07/25/2020
Few-Shot Keyword Spotting With Prototypical Networks
Recognizing a particular command or a keyword, keyword spotting has been...
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04/01/2020
Drug-disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data
Adverse Drug Reaction (ADR) is a significant public health concern world...
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07/25/2019
