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04/13/2023
Decentralized federated learning methods for reducing communication cost and energy consumption in UAV networks
Unmanned aerial vehicles (UAV) or drones play many roles in a modern sma...
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01/17/2023
Negative Flux Aggregation to Estimate Feature Attributions
There are increasing demands for understanding deep neural networks' (DN...
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11/23/2022
Learning Compact Features via In-Training Representation Alignment
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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07/08/2021
First-Generation Inference Accelerator Deployment at Facebook
In this paper, we provide a deep dive into the deployment of inference a...
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12/14/2020
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints
Convolutional neural networks (CNNs) have achieved state-of-the-art perf...
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07/12/2020
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability
Latent factor collaborative filtering (CF) has been a widely used techni...
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06/24/2020
Defending against adversarial attacks on medical imaging AI system, classification or detection?
Medical imaging AI systems such as disease classification and segmentati...
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03/04/2020
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks
Deep convolutional neural networks (CNNs) trained with logistic and soft...
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02/23/2020
Improve SGD Training via Aligning Min-batches
Deep neural networks (DNNs) for supervised learning can be viewed as a p...
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02/23/2020