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[1] Brenden M. Lake,et al. Compositional generalization through meta sequence-to-sequence learning , 2019, NeurIPS.
[2] Chong Wang,et al. Neural Logic Machines , 2019, ICLR.
[3] Yoshua Bengio,et al. CLOSURE: Assessing Systematic Generalization of CLEVR Models , 2019, ViGIL@NeurIPS.
[4] Marcus Rohrbach,et al. Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering , 2019, ICML.
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Wojciech Zaremba,et al. Learning Simple Algorithms from Examples , 2015, ICML.
[7] Rens Bod,et al. An All-Subtrees Approach to Unsupervised Parsing , 2006, ACL.
[8] Wojciech Zaremba,et al. Reinforcement Learning Neural Turing Machines - Revised , 2015 .
[9] Yoav Artzi,et al. Neural Shift-Reduce CCG Semantic Parsing , 2016, EMNLP.
[10] Joshua B. Tenenbaum,et al. Building machines that learn and think like people , 2016, Behavioral and Brain Sciences.
[11] Yue Zhang,et al. Shift-Reduce Constituent Parsing with Neural Lookahead Features , 2016, TACL.
[12] Li Fei-Fei,et al. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[13] Ming-Wei Chang,et al. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding , 2019, NAACL.
[14] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[15] Marcin Andrychowicz,et al. Neural Random Access Machines , 2015, ERCIM News.
[16] Marco Baroni,et al. Human few-shot learning of compositional instructions , 2019, CogSci.
[17] Chuang Gan,et al. Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding , 2018, NeurIPS.
[18] Yoshua Bengio,et al. Compositional generalization in a deep seq2seq model by separating syntax and semantics , 2019, ArXiv.
[19] Navdeep Jaitly,et al. Pointer Networks , 2015, NIPS.
[20] Dana Angluin,et al. Learning Regular Sets from Queries and Counterexamples , 1987, Inf. Comput..
[21] Jacob Andreas,et al. Good-Enough Compositional Data Augmentation , 2019, ACL.
[22] Geoffrey E. Hinton,et al. Grammar as a Foreign Language , 2014, NIPS.
[23] Alexander M. Rush,et al. Sequence-to-Sequence Learning as Beam-Search Optimization , 2016, EMNLP.
[24] Xiao Wang,et al. Measuring Compositional Generalization: A Comprehensive Method on Realistic Data , 2019, ICLR.
[25] Desmond Elliott,et al. Compositional Generalization in Image Captioning , 2019, CoNLL.
[26] Jiajun Wu,et al. Neurally-Guided Structure Inference , 2019, ICML.
[27] Martin Kay,et al. Syntactic Process , 1979, ACL.
[28] László Dezsö,et al. Universal Grammar , 1981, Certainty in Action.
[29] Christopher D. Manning,et al. Compositional Attention Networks for Machine Reasoning , 2018, ICLR.
[30] A Benchmark for Systematic Generalization in Grounded Language Understanding , 2020, NeurIPS.
[31] Lukasz Kaiser,et al. Neural GPUs Learn Algorithms , 2015, ICLR.
[32] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[33] Mirella Lapata,et al. Language to Logical Form with Neural Attention , 2016, ACL.
[34] Colin de la Higuera,et al. Grammatical Inference: Learning Automata and Grammars , 2010 .
[35] Da Xiao,et al. Improving the Universality and Learnability of Neural Programmer-Interpreters with Combinator Abstraction , 2018, ICLR.
[36] Nando de Freitas,et al. Learning Compositional Neural Programs with Recursive Tree Search and Planning , 2019, NeurIPS.
[37] James Cross,et al. Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles , 2016, EMNLP.
[38] Phil Blunsom,et al. Learning to Transduce with Unbounded Memory , 2015, NIPS.
[39] Tomas Mikolov,et al. Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets , 2015, NIPS.
[40] Thomas L. Griffiths,et al. Automatically Composing Representation Transformations as a Means for Generalization , 2018, ICLR.
[41] P. Cochat,et al. Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.
[42] Marco Baroni,et al. Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks , 2017, ICML.
[43] Alex Graves,et al. Neural Turing Machines , 2014, ArXiv.
[44] Nando de Freitas,et al. Neural Programmer-Interpreters , 2015, ICLR.
[45] Marco Baroni,et al. Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks , 2018, BlackboxNLP@EMNLP.
[46] David Lopez-Paz,et al. Permutation Equivariant Models for Compositional Generalization in Language , 2020, ICLR.
[47] Chuang Gan,et al. The Neuro-Symbolic Concept Learner: Interpreting Scenes Words and Sentences from Natural Supervision , 2019, ICLR.
[48] Dawn Xiaodong Song,et al. Making Neural Programming Architectures Generalize via Recursion , 2017, ICLR.
[49] Armando Solar-Lezama,et al. Learning Compositional Rules via Neural Program Synthesis , 2020, NeurIPS.
[50] Dawn Xiaodong Song,et al. Towards Synthesizing Complex Programs From Input-Output Examples , 2017, ICLR.
[51] Marco Baroni,et al. CNNs found to jump around more skillfully than RNNs: Compositional Generalization in Seq2seq Convolutional Networks , 2019, ACL.
[52] Liang Zhao,et al. Compositional Generalization for Primitive Substitutions , 2019, EMNLP.