Zeynep Akata

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