Zeynep Akata

Zeynep Akata

Eberhard Karls Universität Tübingen

H-index: 42

Europe-Germany

About Zeynep Akata

Zeynep Akata, With an exceptional h-index of 42 and a recent h-index of 41 (since 2020), a distinguished researcher at Eberhard Karls Universität Tübingen, specializes in the field of Machine Learning, Vision and Language, Zero-Shot Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Meta-in-context learning in large language models

Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models

Addressing caveats of neural persistence with deep graph persistence

Bridging the gap between model explanations in partially annotated multi-label classification

Zeynep Akata Information

University

Position

Professor of Computer Science

Citations(all)

19905

Citations(since 2020)

16877

Cited By

9147

hIndex(all)

42

hIndex(since 2020)

41

i10Index(all)

82

i10Index(since 2020)

80

Email

University Profile Page

Eberhard Karls Universität Tübingen

Google Scholar

View Google Scholar Profile

Zeynep Akata Skills & Research Interests

Machine Learning

Vision and Language

Zero-Shot Learning

Top articles of Zeynep Akata

Title

Journal

Author(s)

Publication Date

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

Nishad Singhi

Karsten Roth

Jae Myung Kim

Zeynep Akata

2024/3/2

Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing

Adrian Höhl

Ivica Obadic

Miguel Ángel Fernández Torres

Hiba Najjar

Dario Oliveira

...

2024/2/21

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships

Advances in Neural Information Processing Systems

Abhra Chaudhuri

Massimiliano Mancini

Zeynep Akata

Anjan Dutta

2024/2/13

In-Context Impersonation Reveals Large Language Models' Strengths and Biases

Advances in Neural Information Processing Systems

Leonard Salewski

Stephan Alaniz

Isabel Rio-Torto

Eric Schulz

Zeynep Akata

2024/2/13

Meta-in-context learning in large language models

Advances in Neural Information Processing Systems

Julian Coda-Forno

Marcel Binz

Zeynep Akata

Matt Botvinick

Jane Wang

...

2024/2/13

Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models

arXiv preprint arXiv:2404.06309

David Kurzendörfer

Otniel-Bogdan Mercea

A Koepke

Zeynep Akata

2024/4/9

Addressing caveats of neural persistence with deep graph persistence

arXiv preprint arXiv:2307.10865

Leander Girrbach

Anders Christensen

Ole Winther

Zeynep Akata

A Koepke

2023/7/20

Bridging the gap between model explanations in partially annotated multi-label classification

Youngwook Kim

Jae Myung Kim

Jieun Jeong

Cordelia Schmid

Zeynep Akata

...

2023

Iterative superquadric recomposition of 3d objects from multiple views

Stephan Alaniz

Massimiliano Mancini

Zeynep Akata

2023

Vision-by-language for training-free compositional image retrieval

arXiv preprint arXiv:2310.09291

Shyamgopal Karthik

Karsten Roth

Massimiliano Mancini

Zeynep Akata

2023/10/13

How should the advent of large language models affect the practice of science?

arXiv preprint arXiv:2312.03759

Marcel Binz

Stephan Alaniz

Adina Roskies

Balazs Aczel

Carl T Bergstrom

...

2023/12/5

Inducing anxiety in large language models increases exploration and bias

Zeynep Akata

Eric Schulz

Marcel Binz

Akshay K Jagadish

Kristin Witte

...

2023/4/21

Caveats of neural persistence in deep neural networks

Leander Girrbach

Anders Christensen

Ole Winther

Zeynep Akata

A Sophia Koepke

2023/6/18

Urban scene semantic segmentation with low-cost coarse annotation

Anurag Das

Yongqin Xian

Yang He

Zeynep Akata

Bernt Schiele

2023

PDiscoNet: Semantically consistent part discovery for fine-grained recognition

Robert van der Klis

Stephan Alaniz

Massimiliano Mancini

Cassio F Dantas

Dino Ienco

...

2023

Video-adverb retrieval with compositional adverb-action embeddings

arXiv preprint arXiv:2309.15086

Thomas Hummel

Otniel-Bogdan Mercea

A Koepke

Zeynep Akata

2023/9/26

Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation

arXiv preprint arXiv:2311.15100

Luca Eyring

Dominik Klein

Théo Uscidda

Giovanni Palla

Niki Kilbertus

...

2023/11/25

Control of a physical system based on inferred state

2023/4/4

Waffling around for Performance: Visual Classification with Random Words and Broad Concepts

Zeynep Akata

Cordelia Schmid

Oriol Vinyals

A Koepke

Jae Myung Kim

...

2023/6/12

The manifold hypothesis for gradient-based explanations

Sebastian Bordt

Uddeshya Upadhyay

Zeynep Akata

Ulrike von Luxburg

2023

See List of Professors in Zeynep Akata University(Eberhard Karls Universität Tübingen)

Co-Authors

H-index: 161
Trevor Darrell

Trevor Darrell

University of California, Berkeley

H-index: 91
Honglak Lee

Honglak Lee

University of Michigan

H-index: 48
Zaid Harchaoui

Zaid Harchaoui

University of Washington

H-index: 30
Anna Rohrbach

Anna Rohrbach

University of California, Berkeley

H-index: 21
Anjan Dutta

Anjan Dutta

University of Exeter

academic-engine