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Johannes Schneider

19 papers hereh-index 12427 citations26 works total

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

author position
  • sole author8
  • first author9
  • middle author1

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.AI3
  • cs.CL2
  • cs.CV1
  • cs.HC1
same name
  • Johannes Schneider — 17 papers, h 6
  • Johannes Schneider — 8 papers, h 6
  • Johannes Schneider — 3 papers, h 14
  • Johannes Schneider — 2 papers, h 1
  • Johannes Schneider — 2 papers, h 1
  • Johannes Schneider — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedPersonalized explanation in machine learning: A conceptualization

12 citations · 41 across the 13 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019

Human-to-AI Coach: Improving Human Inputs to AI Systems

Johannes Schneider

Humans increasingly interact with Artificial intelligence(AI) systems. AI systems are optimized for objectives such as minimum computation or minimum error rate in recognizing and…

cs.LG2019

Personalization of Deep Learning

Johannes Schneider, Michail Vlachos

We discuss training techniques, objectives and metrics toward personalization of deep learning models. In machine learning, personalization addresses the goal of a trained model to…

cs.LG2019

Locality-Promoting Representation Learning

Johannes Schneider

This work investigates fundamental questions related to learning features in convolutional neural networks (CNN). Empirical findings across multiple architectures such as VGG, ResN…

cs.LG2019★ 12 cited

Personalized explanation in machine learning: A conceptualization

Johanes Schneider, Joshua Handali

Explanation in machine learning and related fields such as artificial intelligence aims at making machine learning models and their decisions understandable to humans. Existing wor…

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