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Authorship on a paper (1-based position). corresponding_email only if printed; currently all null (no harvested contact).

Data license: Space charter; records cite primary sources · Data source: TeamScience Space repository

24 rows where author_id = "openalex:A5088551093"

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Link lom_id author_id position source corresponding_email
arxiv:1409.3215,openalex:A5088551093 Sequence to Sequence Learning with Neural Networks arxiv:1409.3215 openalex:A5088551093 3 openalex  
arxiv:1511.01432,openalex:A5088551093 Semi-supervised Sequence Learning arxiv:1511.01432 openalex:A5088551093 2 openalex  
arxiv:1611.01578,openalex:A5088551093 Neural Architecture Search with Reinforcement Learning arxiv:1611.01578 openalex:A5088551093 2 openalex  
arxiv:1709.07417,openalex:A5088551093 Neural Optimizer Search with Reinforcement Learning arxiv:1709.07417 openalex:A5088551093 4 openalex  
arxiv:1710.05941,openalex:A5088551093 Searching for Activation Functions arxiv:1710.05941 openalex:A5088551093 3 openalex  
arxiv:1811.06965,openalex:A5088551093 GPipe: Efficient Training of Giant Neural Networks using Pipeline\n Parallelism arxiv:1811.06965 openalex:A5088551093 9 openalex  
arxiv:1901.11117,openalex:A5088551093 The Evolved Transformer arxiv:1901.11117 openalex:A5088551093 3 openalex  
arxiv:1905.11946,openalex:A5088551093 EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks arxiv:1905.11946 openalex:A5088551093 2 openalex  
arxiv:2003.03384,openalex:A5088551093 AutoML-Zero: Evolving Machine Learning Algorithms From Scratch arxiv:2003.03384 openalex:A5088551093 4 openalex  
arxiv:2101.03958,openalex:A5088551093 Evolving Reinforcement Learning Algorithms arxiv:2101.03958 openalex:A5088551093 6 openalex  
arxiv:2104.00298,openalex:A5088551093 EfficientNetV2: Smaller Models and Faster Training arxiv:2104.00298 openalex:A5088551093 2 openalex  
arxiv:2104.10350,openalex:A5088551093 Carbon Emissions and Large Neural Network Training arxiv:2104.10350 openalex:A5088551093 3 openalex  
arxiv:2201.11903,openalex:A5088551093 Chain-of-thought prompting elicits reasoning in large language models arxiv:2201.11903 openalex:A5088551093 8 openalex  
arxiv:2203.11171,openalex:A5088551093 Self-consistency improves chain of thought reasoning in language models arxiv:2203.11171 openalex:A5088551093 4 openalex  
doi:10.1109/cvpr.2018.00907,openalex:A5088551093 Learning Transferable Architectures for Scalable Image Recognition doi:10.1109/cvpr.2018.00907 openalex:A5088551093 4 openalex  
doi:10.1109/cvpr42600.2020.01070,openalex:A5088551093 Self-Training With Noisy Student Improves ImageNet Classification doi:10.1109/cvpr42600.2020.01070 openalex:A5088551093 4 openalex  
doi:10.1609/aaai.v33i01.33014780,openalex:A5088551093 Regularized Evolution for Image Classifier Architecture Search doi:10.1609/aaai.v33i01.33014780 openalex:A5088551093 4 openalex  
doi:10.18653/v1/2023.findings-acl.824,openalex:A5088551093 Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them doi:10.18653/v1/2023.findings-acl.824 openalex:A5088551093 8 openalex  
doi:10.18653/v1/p19-1285,openalex:A5088551093 Transformer-XL: Attentive Language Models beyond a Fixed-Length Context doi:10.18653/v1/p19-1285 openalex:A5088551093 5 openalex  
openalex:W2949888546,openalex:A5088551093 Sequence to Sequence Learning with Neural Networks openalex:W2949888546 openalex:A5088551093 3 openalex  
openalex:W2962716258,openalex:A5088551093 Neural optimizer search with reinforcement learning openalex:W2962716258 openalex:A5088551093 4 openalex  
openalex:W2962746461,openalex:A5088551093 Efficient Neural Architecture Search via Parameters Sharing openalex:W2962746461 openalex:A5088551093 4 openalex  
openalex:W2995628494,openalex:A5088551093 Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension openalex:W2995628494 openalex:A5088551093 6 openalex  
openalex:W3098949126,openalex:A5088551093 Scalable and accurate deep learning with electronic health records openalex:W3098949126 openalex:A5088551093 18 openalex  

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CREATE TABLE paper_author (
  lom_id               TEXT NOT NULL REFERENCES paper(lom_id),
  author_id            TEXT NOT NULL REFERENCES author(author_id),
  position             INTEGER NOT NULL CHECK (position >= 1),
  source               TEXT NOT NULL DEFAULT 'openalex' CHECK (source IN ('openalex', 'paper')),
  corresponding_email  TEXT,
  PRIMARY KEY (lom_id, author_id),
  CHECK (corresponding_email IS NULL OR source = 'paper')
);
CREATE UNIQUE INDEX paper_author_pos ON paper_author(lom_id, position);
CREATE INDEX paper_author_author ON paper_author(author_id);
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