Topic Notes: Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ...

Kdd2016 Paper 93 - Fresh Overview for Readers

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Fresh Overview for Readers

Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ... Title: Audience Expansion for Online Social Network Advertising Authors: Haishan Liu*, LinkedIn Corporation David Pardoe, ...

Overview What to Check First

Title: From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation Authors: Yanan Bao*, ... Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ... Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...

Overview What It Connects To

Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ... Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ...

General What to Confirm

Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ... Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ... Authors: Mohammad Reza Karimi*, Sharif University Erfan Tavakoli, Sharif ...

Key points worth scanning

  • Title: From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation Authors: Yanan Bao*, ...
  • Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ...
  • Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...
  • Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ...
  • Title: Audience Expansion for Online Social Network Advertising Authors: Haishan Liu*, LinkedIn Corporation David Pardoe, ...

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Topic Visual Overview

KDD2016 paper 93
KDD2016 paper 123
KDD2016 paper 653
KDD2016 paper 943
KDD2016 paper 303
KDD2016 paper 573
KDD2016 paper 1033
KDD 2016 paper 392
KDD2016 paper 803
KDD2016 paper 483
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KDD2016 paper 93

KDD2016 paper 93

Title: Smart Broadcasting: Do you want to be seen? Authors: Mohammad Reza Karimi*, Sharif University Erfan Tavakoli, Sharif ...

KDD2016 paper 123

KDD2016 paper 123

Title: Dynamics of Large Multi-View Social Networks: Synergy, Cannibalization and Cross-View Interplay Authors: Yu Shi*, ...

KDD2016 paper 653

KDD2016 paper 653

Title: Boosted Decision Tree Regression Adjustment for Variance Reduction in Online Controlled Experiments Authors: Alexey ...

KDD2016 paper 943

KDD2016 paper 943

Title: Evaluating Mobile App Release Authors: Ya Xu*, LinkedIn Corporation Nanyu Chen, LinkedIn Corporation Abstract: We ...

KDD2016 paper 303

KDD2016 paper 303

Title: Multi-layer Representation Learning for Medical Concepts Authors: Edward Choi*, Georgia Institute of Technology ...

KDD2016 paper 573

KDD2016 paper 573

Title: "Why Should I Trust You?": Explaining the Predictions of Any Classifier Authors: Marco Túlio Ribeiro*, University of ...

KDD2016 paper 1033

KDD2016 paper 1033

Title: From Prediction to Action: A Closed-Loop Approach for Data-Guided Network Resource Allocation Authors: Yanan Bao*, ...

KDD 2016 paper 392

KDD 2016 paper 392

Title : Large-scale Item Categorization in e-Commerce Using Multiple Recurrent Neural Networks Authors : Jung-woo Ha , NAVER ...

KDD2016 paper 803

KDD2016 paper 803

Title: Scalable Pattern Matching over Compressed Graphs via Dedensification Authors: Antonio Maccioni*, Roma Tre University ...

KDD2016 paper 483

KDD2016 paper 483

Title: Audience Expansion for Online Social Network Advertising Authors: Haishan Liu*, LinkedIn Corporation David Pardoe, ...