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researcher

Tim Klinger

4 papers hereh-index 161.6k citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedR3: Reinforced Reader-Ranker for Open-Domain Question Answering

87 citations · 124 across the 3 of their papers we have counts for

collaborators

4 papers

cs.LG2017★ 37 cited

Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Clemens Rosenbaum, Tim Klinger, Matthew Riemer

Multi-task learning (MTL) with neural networks leverages commonalities in tasks to improve performance, but often suffers from task interference which reduces the benefits of trans…

cs.CL2017★ 87 cited

R3: Reinforced Reader-Ranker for Open-Domain Question Answering

Shuohang Wang, Mo Yu, Xiaoxiao Guo +7

In recent years researchers have achieved considerable success applying neural network methods to question answering (QA). These approaches have achieved state of the art results i…

cs.LG2017

e-QRAQ: A Multi-turn Reasoning Dataset and Simulator with Explanations

Clemens Rosenbaum, Tian Gao, Tim Klinger

In this paper we present a new dataset and user simulator e-QRAQ (explainable Query, Reason, and Answer Question) which tests an Agent's ability to read an ambiguous text; ask ques…

cs.CL2016

Multiresolution Recurrent Neural Networks: An Application to Dialogue Response Generation

Iulian Vlad Serban, Tim Klinger, Gerald Tesauro +4

We introduce the multiresolution recurrent neural network, which extends the sequence-to-sequence framework to model natural language generation as two parallel discrete stochastic…

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