Zeynep Akata | Academic Influence

Zeynep Akata's AcademicInfluence.com Rankings

Zeynep Akata

Computer Science

#7286

World Rank

#7673

Historical Rank

Machine Learning

#4688

World Rank

#4740

Historical Rank

Database

#7716

World Rank

#8021

Historical Rank

computer-science Degrees

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Computer Science

Zeynep Akata's Degrees

PhD Computer Science University of Tübingen
Masters Computer Science Middle East Technical University
Bachelors Computer Engineering Middle East Technical University

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Why Is Zeynep Akata Influential?

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According to Wikipedia, Zeynep Akata is a professor of computer science at the University of Tübingen where she leads the Explainable Machine Learning group. Akata is also a senior research scientist at the Max Planck Institute for Intelligent Systems, Tübingen.

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Zeynep Akata's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Generative Adversarial Text to Image Synthesis (2016) (2498)
Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly (2017) (980)
Evaluation of output embeddings for fine-grained image classification (2014) (881)
Learning Deep Representations of Fine-Grained Visual Descriptions (2016) (700)
Feature Generating Networks for Zero-Shot Learning (2017) (676)
Zero-Shot Learning — The Good, the Bad and the Ugly (2017) (613)
Latent Embeddings for Zero-Shot Classification (2016) (610)
Label-Embedding for Attribute-Based Classification (2013) (589)
Label-Embedding for Image Classification (2015) (578)
Learning What and Where to Draw (2016) (526)
Generating Visual Explanations (2016) (518)
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders (2018) (392)
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning (2019) (317)
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence (2018) (298)
Explainable AI: The New 42? (2018) (206)
Towards good practice in large-scale learning for image classification (2012) (197)
Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts (2016) (176)
Exploiting Saliency for Object Segmentation from Image Level Labels (2017) (175)
Grounding Visual Explanations (2018) (169)
Textual Explanations for Self-Driving Vehicles (2018) (160)
Evaluating Weakly Supervised Object Localization Methods Right (2020) (133)
Multi-cue Zero-Shot Learning with Strong Supervision (2016) (131)
Learning Robust Representations via Multi-View Information Bottleneck (2020) (115)
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation (2019) (114)
Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval (2019) (108)
Attribute Prototype Network for Zero-Shot Learning (2020) (108)
Gaze Embeddings for Zero-Shot Image Classification (2016) (99)
Non-negative Matrix Factorization in Multimodality Data for Segmentation and Label Prediction (2011) (97)
Generating Counterfactual Explanations with Natural Language (2018) (77)
Attentive Explanations: Justifying Decisions and Pointing to the Evidence (2016) (73)
Learning Graph Embeddings for Compositional Zero-shot Learning (2021) (56)
Good Practice in Large-Scale Learning for Image Classification (2019) (52)
Towards Recognizing Unseen Categories in Unseen Domains (2020) (52)
Open World Compositional Zero-Shot Learning (2021) (47)
Combining Generative and Discriminative Models for Hybrid Inference (2019) (40)
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks (2021) (39)
Audio Retrieval with Natural Language Queries (2021) (34)
A Closer Look at Self-training for Zero-Label Semantic Segmentation (2021) (30)
Manipulating Attributes of Natural Scenes via Hallucination (2018) (24)
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations (2020) (22)
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning (2021) (22)
Modeling Conceptual Understanding in Image Reference Games (2019) (21)
Audio Retrieval with Natural Language Queries: A Benchmark Study (2021) (21)
Fisher Vectors for Fine-Grained Visual Categorization (2011) (18)
Zero-Shot Learning with Structured Embeddings (2014) (16)
Relational Generalized Few-Shot Learning (2019) (15)
XOC: Explainable Observer-Classifier for Explainable Binary Decisions (2019) (15)
Large Loss Matters in Weakly Supervised Multi-Label Classification (2022) (14)
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets (2020) (14)
Visual Rationalizations in Deep Reinforcement Learning for Atari Games (2018) (14)
Keep CALM and Improve Visual Feature Attribution (2021) (12)
Primal-Dual Wasserstein GAN (2018) (12)
Generalized Zero-Shot Learning via Aligned Variational Autoencoders (2019) (12)
Generalized Many-Way Few-Shot Video Classification (2020) (12)
Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring (2020) (11)
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning (2022) (9)
A Few Guidelines for Incremental Few-Shot Segmentation (2020) (9)
Learning Decision Trees Recurrently Through Communication (2021) (9)
Attribute Prototype Network for Any-Shot Learning (2022) (8)
Non-isotropy Regularization for Proxy-based Deep Metric Learning (2022) (8)
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey (2022) (8)
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning (2022) (7)
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization (2022) (7)
Interpreting Adversarial Examples with Attributes (2019) (6)
CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations (2022) (6)
Integrating Language Guidance into Vision-based Deep Metric Learning (2022) (6)
Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language (2022) (6)
Uncertainty-Guided Progressive GANs for Medical Image Translation (2021) (6)
Attribute-Based Classification with Label-Embedding (2013) (5)
BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR (2022) (5)
Prototype-based Incremental Few-Shot Segmentation (2021) (4)
Abstracting Sketches through Simple Primitives (2022) (4)
Generating Post-Hoc Rationales of Deep Visual Classification Decisions (2018) (4)
A Data-driven Study on Preferred Situations for Running (2018) (4)
Bayesian Zero-Shot Learning (2019) (4)
Channel-Recurrent Variational Autoencoders (2017) (3)
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks (2022) (3)
Probabilistic Compositional Embeddings for Multimodal Image Retrieval (2022) (3)
(SP)2Net for Generalized Zero-Label Semantic Segmentation (2021) (3)
Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes (2022) (3)
WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop (2018) (3)
Generating Visual and Semantic Explanations with Multi-task Network (2020) (3)
Grounding Visual Explanations (Extended Abstract) (2017) (2)
Disentanglement of Correlated Factors via Hausdorff Factorized Support (2022) (2)
Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images) (2014) (2)
Uniform Priors for Data-Efficient Learning (2022) (2)
Temporal and cross-modal attention for audio-visual zero-shot learning (2022) (2)
Cross-Linked Variational Autoencoders for Generalized Zero-Shot Learning (2019) (2)
Uncertainty-aware Generalized Adaptive CycleGAN (2021) (2)
Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval (2022) (2)
Attribute Prediction as Multiple Instance Learning (2022) (1)
MULTI-VIEW INFORMATION BOTTLENECK (2019) (1)
Inducing anxiety in large language models increases exploration and bias (2023) (1)
Interpretability in sequence tagging models for Named Entity Recognition by Sofia Herrero Villarroya (2018) (1)
Where and When: Space-Time Attention for Audio-Visual Explanations (2021) (1)
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators (2022) (1)
Compositional Mixture Representations for Vision and Text (2022) (1)
Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning (2022) (1)
Semantic Image Synthesis with Semantically Coupled VQ-Model (2022) (1)
Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment (2022) (1)
Probabilistic Compositional Embeddings for Multimodal Image Retrieval (Supplementary Materials) (2022) (0)
The Manifold Hypothesis for Gradient-Based Explanations (2022) (0)
S EMANTIC I MAGE S YNTHESIS WITH S EMANTICALLY C OUPLED VQ-M ODEL (2022) (0)
Bilateral Contracts and Grants with Industry - Xerox Research Center Europe (2013) (0)
UvA-DARE ( Digital Academic Repository ) Textual Explanations for Self-Driving Vehicles (2018) (0)
UvA-DARE ( Digital Academic Repository ) Gaze Embeddings for Zero-Shot Image Classification (2017) (0)
Abstracting Sketches through Simple Primitives Supplementary Material (2022) (0)
Learning Decision Trees Recurrently Through Communication-Supplementary Material (2021) (0)
Posterior Annealing: Fast Calibrated Uncertainty for Regression (2023) (0)
Open World Compositional Zero-Shot Learning-Supplementary Material (2021) (0)
Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval (2023) (0)
Gaze Embeddings for Fine-Grained Zero-Shot Image Classification (2016) (0)
Supplementary Material: Manipulating Attributes of Natural Scenes via Hallucination (2019) (0)
Appreciation to IJCV Reviewers of 2016 (2016) (0)
Supplementary Material: Manipulating Attributes of Natural Scenes via Hallucination (2019) (0)
New Results - Visual recognition in images (2013) (0)
COVER FEATURE HYBRID HUMAN-ARTIFICIAL INTELLIGENCE (2020) (0)
Upcoming oberseminars (0)
Understanding Misclassifications by Attributes (2019) (0)
Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation (2022) (0)
Show, Attend, Control, and Justify: Interpretable Learning for Self-Driving Cars (2017) (0)
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning (2021) (0)
Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification (2023) (0)
Appreciation to IJCV Reviewers of 2017 (2018) (0)
Iterative Binary Decisions (2018) (0)
Neural Information Processing BackPACK for Residual and Recurrent Neural Networks (2021) (0)
Conditional De-Identification of 3D Magnetic Resonance Images (2021) (0)
A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning (2022) (0)

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What Schools Are Affiliated With Zeynep Akata?

Zeynep Akata is affiliated with the following schools: