Chen Liang
Chen Liang
Google Brain
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Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision
C Liang, J Berant, Q Le, KD Forbus, N Lao
ACL 2017, 55th Annual Meeting of the Association for Computational …, 2017
The evolved transformer
DR So, C Liang, QV Le
arXiv preprint arXiv:1901.11117, 2019
Memory augmented policy optimization for program synthesis and semantic parsing
C Liang, M Norouzi, J Berant, QV Le, N Lao
Advances in Neural Information Processing Systems, 9994-10006, 2018
Definition modeling: Learning to define word embeddings in natural language
T Noraset, C Liang, L Birnbaum, D Downey
Thirty-First AAAI Conference on Artificial Intelligence, 2017
Learning to generalize from sparse and underspecified rewards
R Agarwal, C Liang, D Schuurmans, M Norouzi
arXiv preprint arXiv:1902.07198, 2019
Learning plausible inferences from semantic web knowledge by combining analogical generalization with structured logistic regression
C Liang, KD Forbus
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Learning Paraphrase Identification with Structural Alignment
C Liang, P Paritosh, V Rajendran, KD Forbus
IJCAI 2016, 2016
Representation and computation in cognitive models
KD Forbus, C Liang, I Rabkina
Topics in cognitive science 9 (3), 694-718, 2017
Constructing hierarchical concepts via analogical generalization
C Liang, K Forbus
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
Neural symbolic reader: Scalable integration of distributed and symbolic representations for reading comprehension
X Chen, C Liang, AW Yu, D Zhou, D Song, QV Le
International Conference on Learning Representations, 2019
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
E Real, C Liang, DR So, QV Le
arXiv preprint arXiv:2003.03384, 2020
Integrating Machine Learning and Symbolic Reasoning: Learning to Generate Symbolic Representations from Weak Supervision
C Liang
Northwestern University, 2018
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