Research Papers
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Featured Papers
Attention Is All You Need
Vaswani et al. - NeurIPS 2017
We propose a new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely...
Deep Residual Learning for Image Recognition
He et al. - CVPR 2016
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those used previously...
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Machine Learning
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200 papers
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Latest Publications
GPT-4: Advanced Language Understanding
2025Exploring the capabilities and limitations of the latest language model...
ArXiv
Efficient Deep Learning for Computer Vision
2024Novel approaches to reduce computational complexity in vision models...
ICCV
Advances in Federated Learning
2024Privacy-preserving machine learning techniques for distributed systems...
ICML
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