Takeshi Abekawa

2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Whom Takeshi Abekawa trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Richard S. Sutton
  2. Chin-Yew Lin
  3. Ryan T. McDonald
  4. Hamid Reza Maei
  5. Csaba Szepesvari

Who trusts Takeshi Abekawa overall

  1. Yang Gao
  2. Christian M. Meyer
  3. Xingxing Zhang
  4. Mirella Lapata
  5. Brielen Madureira
  6. Shay B. Cohen
  7. Cody Rioux
  8. Iryna Gurevych
  9. Yue Dong
  10. David Schlangen

Papers from Takeshi Abekawa's perspective

Ordered by how strongly the researchers Takeshi Abekawa trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Fast gradient-descent methods for temporal-difference learning with linear function approximation
  2. An algorithm for suffix stripping
  3. ROUGE: A Package for Automatic Evaluation of Summaries
  4. A convergent O ( n ) algorithm for off-policy temporal-difference learning with linear function approximation
  5. Multi-Document Summarization By Sentence Extraction
  6. A Study of Global Inference Algorithms in Multi-document Summarization (European Conference on Information Retrieval)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning
  9. Gradient-based learning applied to document recognition
  10. Long Short-Term Memory

Their papers