Zeynep Akata

58

Papers

706

Total Citations

Papers (58)

Learning What and Where to Draw

NeurIPS 2016arXiv

DataDream: Few-shot Guided Dataset Generation

Scalable Ranked Preference Optimization for Text-to-Image Generation

EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training

SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions

Learning Deep Representations of Fine-Grained Visual Descriptions

Multi-Cue Zero-Shot Learning With Strong Supervision

Latent Embeddings for Zero-Shot Classification

Context-Aware Multimodal Pretraining

Gaze Embeddings for Zero-Shot Image Classification

Zero-Shot Learning - the Good, the Bad and the Ugly

Feature Generating Networks for Zero-Shot Learning

Multimodal Explanations: Justifying Decisions and Pointing to the Evidence

Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval

Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders

Semantic Projection Network for Zero- and Few-Label Semantic Segmentation

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning

Evaluating Weakly Supervised Object Localization Methods Right

Open World Compositional Zero-Shot Learning

Learning Graph Embeddings for Compositional Zero-Shot Learning

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Learning Decision Trees Recurrently Through Communication

Large Loss Matters in Weakly Supervised Multi-Label Classification

VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning

Audio-Visual Generalised Zero-Shot Learning With Cross-Modal Attention and Language

Non-Isotropy Regularization for Proxy-Based Deep Metric Learning

Integrating Language Guidance Into Vision-Based Deep Metric Learning

KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning

Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification

Keep CALM and Improve Visual Feature Attribution

E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models

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

Image-Free Classifier Injection for Zero-Shot Classification

PDiscoNet: Semantically consistent part discovery for fine-grained recognition

Iterative Superquadric Recomposition of 3D Objects from Multiple Views

Towards Recognizing Unseen Categories in Unseen Domains

BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

Temporal and Cross-Modal Attention for Audio-Visual Zero-Shot Learning

A Non-Isotropic Probabilistic Take On Proxy-Based Deep Metric Learning

Abstracting Sketches through Simple Primitives

Exploiting Saliency for Object Segmentation From Image Level Labels

FLAIR: VLM with Fine-grained Language-informed Image Representations

How to Merge Your Multimodal Models Over Time?

Concept-Guided Interpretability via Neural Chunking

NeurIPS 2025arXiv

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

Evaluation of Output Embeddings for Fine-Grained Image Classification

Combining Generative and Discriminative Models for Hybrid Inference

Modeling Conceptual Understanding in Image Reference Games

Attribute Prototype Network for Zero-Shot Learning

Fine-Grained Zero-Shot Learning with DNA as Side Information

Robustness via Uncertainty-aware Cycle Consistency

Relational Proxies: Emergent Relationships as Fine-Grained Discriminators

Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships

Meta-in-context learning in large language models

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

Generative Adversarial Text to Image Synthesis