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International Conference on Learning Representations (ICLR), 2019 [NeurIPS 2018 R2L Workshop] [Score Rank: 69/1591 (4.4%)] Neural Guided Constraint Logic Programming for Program Synthesis Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, Matthew Might, Raquel Urtasun, Richard S. Zemel
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of predicted property scores using the property predictors. Their approach learns a distribution P(G)(a neural network) for generating molecules. Ideally, the model should achieve high success rate in generating molecules that meet all the constraints, while maintaining the diversity of P(G). The main challenge of RL is the reward sparsity ...
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Jul 24, 2020 · The Ten Must Read NLP/NLU Papers from the ICLR 2020 Conference. July 24, 2020. Feakle Begin with a Bang – The Clare Champion. July 26, 2020.
Oct 13, 2020 · MakinaRocks research published by Deep Learning sector's premier conference, ICLR 2020 ... RaPP, developed by MakinaRocks, uses deep neural networks to generate an anomaly score, improving the ...