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researcher

Matthew S. Gerber

3 papers hereh-index 202.4k citations60 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.HC1

identity via Semantic Scholar / OpenAlex

activity
20172020
most citedHDLTex: Hierarchical Deep Learning for Text Classification

463 citations · 471 across the 3 of their papers we have counts for

collaborators
Showing 2020Show all

1 paper · 1 filter

cs.LG2020

Reward Shaping for Human Learning via Inverse Reinforcement Learning

Mark A. Rucker, Layne T. Watson, Matthew S. Gerber +1

Humans are spectacular reinforcement learners, constantly learning from and adjusting to experience and feedback. Unfortunately, this doesn't necessarily mean humans are fast learn…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.