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paper_author

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

13 rows where author_id = "openalex:A5101821970"

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Link lom_id author_id position source corresponding_email
arxiv:1807.03858,openalex:A5101821970 Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees arxiv:1807.03858 openalex:A5101821970 6 openalex  
arxiv:2005.13239,openalex:A5101821970 MOPO: Model-based Offline Policy Optimization arxiv:2005.13239 openalex:A5101821970 8 openalex  
arxiv:2006.08875,openalex:A5101821970 Model-based Adversarial Meta-Reinforcement Learning arxiv:2006.08875 openalex:A5101821970 4 openalex  
arxiv:2006.16205,openalex:A5101821970 Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for\n Improved Generalization arxiv:2006.16205 openalex:A5101821970 2 openalex  
arxiv:2012.04550,openalex:A5101821970 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for\n Out-of-Distribution Robustness arxiv:2012.04550 openalex:A5101821970 5 openalex  
arxiv:2106.06530,openalex:A5101821970 Label Noise SGD Provably Prefers Flat Global Minimizers arxiv:2106.06530 openalex:A5101821970 2 openalex  
arxiv:2106.09226,openalex:A5101821970 Why Do Pretrained Language Models Help in Downstream Tasks? An Analysis of Head and Prompt Tuning arxiv:2106.09226 openalex:A5101821970 3 openalex  
arxiv:2108.07258,openalex:A5101821970 On the Opportunities and Risks of Foundation Models arxiv:2108.07258 openalex:A5101821970 61 openalex  
doi:10.1162/tacl_a_00106,openalex:A5101821970 A Latent Variable Model Approach to PMI-based Word Embeddings doi:10.1162/tacl_a_00106 openalex:A5101821970 4 openalex  
openalex:W3101192004,openalex:A5101821970 MOPO: Model-based Offline Policy Optimization openalex:W3101192004 openalex:A5101821970 8 openalex  
openalex:W3120044914,openalex:A5101821970 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data openalex:W3120044914 openalex:A5101821970 4 openalex  
openalex:W3177095392,openalex:A5101821970 Shape Matters: Understanding the Implicit Bias of the Noise Covariance openalex:W3177095392 openalex:A5101821970 4 openalex  
openalex:W3214375535,openalex:A5101821970 Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss openalex:W3214375535 openalex:A5101821970 4 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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