Sequence to Sequence Learning with Neural Networks
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextTreating structured predictions as sequences.
Vinyals studies neural models for language, structured prediction, and decision making. The selected work moves from sequence-to-sequence learning and pointer networks to discrete representations, compute-efficient training, and multimodal systems.
10 papers
Selected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextThe Chinchilla study revisits how to divide a training budget between model size and data. It argues that many contemporary large models were undertrained.
Paper & contextVQ-VAE learns discrete latent codes that a decoder can use to reconstruct and generate data.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai for science, reinforcement learning. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai for science, efficient ai. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextSelected research in ai for science, language models. Read the full paper, including the methods, experiments, and reported results.
Paper & contextAn independent editorial profile. Inclusion does not imply Council membership or endorsement. Research is collaborative; coauthorship does not imply sole credit.
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