Zeynep Akata
81 papers · 2013–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(54)
Artificial Intelligence
(36)
Learning Types Β· Machine Learning
(36)
Deep Learning
(35)
Core AI
(25)
Core Methods
(23)
Computer Vision
(22)
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(21)
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(14)
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(6)
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(6)
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(6)
Keywords
zero-shot learning
(20)
vision-language model
(8)
multimodal learning
(7)
transfer learning
(6)
few-shot learning
(6)
image classification
(5)
representation learning
(5)
semantic embedding
(5)
weakly supervised learning
(4)
generative model
(4)
attribute learning
(4)
semantic segmentation
(4)
zero-shot classification
(4)
knowledge distillation
(4)
embedding learning
(4)
generative adversarial network
(4)
contrastive learning
(4)
fine-grained classification
(4)
feature generation
(3)
image synthesis
(3)
Papers
Explaining CLIP Zero-shot Predictions Through Concepts
CVPR 2026
FINER: MLLMs Hallucinate under Fine-grained Negative Queries
CVPR 2026
Rethinking Concept Bottleneck Models: From Pitfalls to Solutions
CVPR 2026
Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences
ICLR 2025
Context-Aware Multimodal Pretraining
CVPR 2025
COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training
CVPR 2025
Decoupling Angles and Strength in Low-rank Adaptation
ICLR 2025
Disentangled Representation Learning with the Gromov-Monge Gap
ICLR 2025
FLAIR: VLM with Fine-grained Language-informed Image Representations
CVPR 2025
How to Merge Your Multimodal Models Over Time?
CVPR 2025
Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)
ICLR 2025
Scalable Ranked Preference Optimization for Text-to-Image Generation
ICCV 2025
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
ICCV 2025
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
ICML 2025
A Practitioner's Guide to Real-World Continual Multimodal Pretraining
NeurIPS 2024
DataDream: Few-shot Guided Dataset Generation
ECCV 2024
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval
ECCV 2024
ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections
ICML 2024
Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
ICLR 2024
Geometry Fidelity for Spherical Images
ECCV 2024
Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models
ECCV 2024
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
NeurIPS 2024
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
ICLR 2024
Vision-by-Language for Training-Free Compositional Image Retrieval
ICLR 2024
Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification
CVPR 2023
Disentanglement of Correlated Factors via Hausdorff Factorized Support
ICLR 2023
Image-Free Classifier Injection for Zero-Shot Classification
ICCV 2023
In-Context Impersonation Reveals Large Language Models' Strengths and Biases
NeurIPS 2023
Iterative Superquadric Recomposition of 3D Objects from Multiple Views
ICCV 2023
Meta-in-context learning in large language models
NeurIPS 2023
PDiscoNet: Semantically consistent part discovery for fine-grained recognition
ICCV 2023
ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models
ICCV 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships
NeurIPS 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation
WACV 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
UAI 2023
Waffling Around for Performance: Visual Classification with Random Words and Broad Concepts
ICCV 2023
Abstracting Sketches through Simple Primitives
ECCV 2022
A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning
ECCV 2022
Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language
CVPR 2022
BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks
ECCV 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
Large Loss Matters in Weakly Supervised Multi-Label Classification
CVPR 2022
Non-Isotropy Regularization for Proxy-Based Deep Metric Learning
CVPR 2022
PlanT: Explainable Planning Transformers via Object-Level Representations
CoRL 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators
NeurIPS 2022
Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning
ECCV 2022
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning
CVPR 2022
Audio Retrieval with Natural Language Queries
Interspeech 2021
Distilling Audio-Visual Knowledge by Compositional Contrastive Learning
CVPR 2021
E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks
ICCV 2021
Fine-Grained Zero-Shot Learning with DNA as Side Information
NeurIPS 2021
Keep CALM and Improve Visual Feature Attribution
ICCV 2021
Learning Decision Trees Recurrently Through Communication
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
NeurIPS 2021
Attribute Prototype Network for Zero-Shot Learning
NeurIPS 2020
Evaluating Weakly Supervised Object Localization Methods Right
CVPR 2020
Learning Robust Representations via Multi-View Information Bottleneck
ICLR 2020
Towards Recognizing Unseen Categories in Unseen Domains
ECCV 2020
Combining Generative and Discriminative Models for Hybrid Inference
NeurIPS 2019
F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
CVPR 2019
Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
CVPR 2019
Modeling Conceptual Understanding in Image Reference Games
NeurIPS 2019
Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval
CVPR 2019
Semantic Projection Network for Zero- and Few-Label Semantic Segmentation
CVPR 2019
Feature Generating Networks for Zero-Shot Learning
CVPR 2018
Grounding Visual Explanations
ECCV 2018
Multimodal Explanations: Justifying Decisions and Pointing to the Evidence
CVPR 2018
Textual Explanations for Self-Driving Vehicles
ECCV 2018
Exploiting Saliency for Object Segmentation From Image Level Labels
CVPR 2017
Gaze Embeddings for Zero-Shot Image Classification
CVPR 2017
Zero-Shot Learning - the Good, the Bad and the Ugly
CVPR 2017
Generative Adversarial Text to Image Synthesis
ICML 2016
Latent Embeddings for Zero-Shot Classification
CVPR 2016
Learning Deep Representations of Fine-Grained Visual Descriptions
CVPR 2016
Learning What and Where to Draw
NeurIPS 2016
Multi-Cue Zero-Shot Learning With Strong Supervision
CVPR 2016
Evaluation of Output Embeddings for Fine-Grained Image Classification
CVPR 2015
Label-Embedding for Attribute-Based Classification
CVPR 2013