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Attention mechanism in neural networks: where it comes and where it goes
A long time ago in the machine learning literature, the idea of incorporating a mechanism
inspired by the human visual system into neural networks was introduced. This idea is …
inspired by the human visual system into neural networks was introduced. This idea is …
Efficient transformers: A survey
Transformer model architectures have garnered immense interest lately due to their
effectiveness across a range of domains like language, vision, and reinforcement learning …
effectiveness across a range of domains like language, vision, and reinforcement learning …
[PDF][PDF] A survey of large language models
Hierarchically gated recurrent neural network for sequence modeling
Transformers have surpassed RNNs in popularity due to their superior abilities in parallel
training and long-term dependency modeling. Recently, there has been a renewed interest …
training and long-term dependency modeling. Recently, there has been a renewed interest …
Are transformers more robust than cnns?
Transformer emerges as a powerful tool for visual recognition. In addition to demonstrating
competitive performance on a broad range of visual benchmarks, recent works also argue …
competitive performance on a broad range of visual benchmarks, recent works also argue …