← Authors

Zeynep Akata

78 papers · 2013–2025 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (7) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (89) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (10) 🌟 Keyword Trendsetter Combo (5) 🏠 Conference Loyalist (30) 🀝 Dynamic Duo (17) πŸ”¬ Deep Specialist (19) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸš€ Conference Pioneer ❓ The Questioner ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (233) πŸ”₯ Unstoppable (11) πŸ’Ž Century Club (78) πŸ“ˆ Trend Setter

Conferences

CVPR (30) NIPS (12) ECCV (11) ICCV (9) ICLR (9) ICML (3) CORL (1) INTERSPEECH (1) UAI (1) WACV (1)

Top co-authors

Bernt Schiele (17) Karsten Roth (15) Massimiliano Mancini (12) Yongqin Xian (11) Stephan Alaniz (11) A. Sophia Koepke (8) Shyamgopal Karthik (7) Jae Myung Kim (6) Oriol Vinyals (5) Anjan Dutta (5)

Keywords

zero-shot learning (19) multimodal learning (6) few-shot learning (6) image classification (5) semantic embedding (5) transfer learning (4) contrastive learning (4) weakly supervised learning (4) zero-shot classification (4) generative model (4) embedding learning (4) semantic segmentation (4) generative adversarial network (4) vision-language model (4) fine-grained classification (4) attribute learning (4) representation learning (3) image generation (3) fine-grained recognition (3) feature generation (3)

Papers

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs ICML 2025
Disentangled Representation Learning with the Gromov-Monge Gap ICLR 2025
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences ICLR 2025
How to Merge Your Multimodal Models Over Time? CVPR 2025
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions ICCV 2025
Scalable Ranked Preference Optimization for Text-to-Image Generation ICCV 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training CVPR 2025
Context-Aware Multimodal Pretraining CVPR 2025
FLAIR: VLM with Fine-grained Language-informed Image Representations CVPR 2025
Decoupling Angles and Strength in Low-rank Adaptation ICLR 2025
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs) ICLR 2025
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model ICLR 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization NIPS 2024
A Practitioner's Guide to Real-World Continual Multimodal Pretraining NIPS 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections ICML 2024
Vision-by-Language for Training-Free Compositional Image Retrieval ICLR 2024
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation ICLR 2024
Geometry Fidelity for Spherical Images ECCV 2024
DataDream: Few-shot Guided Dataset Generation ECCV 2024
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval ECCV 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models ECCV 2024
Meta-in-context learning in large language models NIPS 2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views ICCV 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition ICCV 2023
Image-Free Classifier Injection for Zero-Shot Classification ICCV 2023
Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts ICCV 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution UAI 2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases NIPS 2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models ICCV 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships NIPS 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation WACV 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support ICLR 2023
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification CVPR 2023
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning ECCV 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators NIPS 2022
PlanT: Explainable Planning Transformers via Object-Level Representations CORL 2022
Large Loss Matters in Weakly Supervised Multi-Label Classification CVPR 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning CVPR 2022
Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language CVPR 2022
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning CVPR 2022
Integrating Language Guidance Into Vision-Based Deep Metric Learning CVPR 2022
KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning CVPR 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks ECCV 2022
Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning ECCV 2022
Abstracting Sketches through Simple Primitives ECCV 2022
Keep CALM and Improve Visual Feature Attribution ICCV 2021
E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks ICCV 2021
Audio Retrieval with Natural Language Queries INTERSPEECH 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information NIPS 2021
Learning Decision Trees Recurrently Through Communication CVPR 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning CVPR 2021
Learning Graph Embeddings for Compositional Zero-Shot Learning CVPR 2021
Open World Compositional Zero-Shot Learning CVPR 2021
Robustness via Uncertainty-aware Cycle Consistency NIPS 2021
Learning Robust Representations via Multi-View Information Bottleneck ICLR 2020
Towards Recognizing Unseen Categories in Unseen Domains ECCV 2020
Evaluating Weakly Supervised Object Localization Methods Right CVPR 2020
Attribute Prototype Network for Zero-Shot Learning NIPS 2020
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders CVPR 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval CVPR 2019
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019
Modeling Conceptual Understanding in Image Reference Games NIPS 2019
Combining Generative and Discriminative Models for Hybrid Inference NIPS 2019
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation CVPR 2019
Textual Explanations for Self-Driving Vehicles ECCV 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence CVPR 2018
Feature Generating Networks for Zero-Shot Learning CVPR 2018
Grounding Visual Explanations ECCV 2018
Zero-Shot Learning - the Good, the Bad and the Ugly CVPR 2017
Gaze Embeddings for Zero-Shot Image Classification CVPR 2017
Exploiting Saliency for Object Segmentation From Image Level Labels CVPR 2017
Multi-Cue Zero-Shot Learning With Strong Supervision CVPR 2016
Latent Embeddings for Zero-Shot Classification CVPR 2016
Generative Adversarial Text to Image Synthesis ICML 2016
Learning What and Where to Draw NIPS 2016
Learning Deep Representations of Fine-Grained Visual Descriptions CVPR 2016
Evaluation of Output Embeddings for Fine-Grained Image Classification CVPR 2015
Label-Embedding for Attribute-Based Classification CVPR 2013