Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning

Maxwell I. Nye, Michael Henry Tessler, Joshua B. Tenenbaum, Brenden M. Lake. Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 25192-25204, 2021. [doi]

@inproceedings{NyeTTL21,
  title = {Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning},
  author = {Maxwell I. Nye and Michael Henry Tessler and Joshua B. Tenenbaum and Brenden M. Lake},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/d3e2e8f631bd9336ed25b8162aef8782-Abstract.html},
  researchr = {https://researchr.org/publication/NyeTTL21},
  cites = {0},
  citedby = {0},
  pages = {25192-25204},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}