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AI in 2014

2 events, oldest first. Each links to a page with details and sources.

  1. Ian Goodfellow introduces Generative Adversarial Networks (GANs) ★★★★

    GANs pit a generator network against a discriminator in a minimax game, enabling realistic image synthesis; they dominated generative image modeling until diffusion models around 2021.

  2. Sequence-to-sequence learning and neural attention ★★★★

    Sutskever, Vinyals and Le's seq2seq (LSTM encoder–decoder) and Bahdanau, Cho and Bengio's attention mechanism, both posted in September 2014, made end-to-end neural machine translation work.