Zeynep Akata - RankMe

302 papers A* 61A 9C 1Misc 1Journal 186Unranked 42

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Systematic Study of In-the-Wild Model Merging for Large Language Models. Trans. Mach. Learn. Res. Oguz Kagan Hitit, Leander Girrbach, Zeynep Akata
2026	J	`jnl`	Are Reasoning LLMs Robust to Interventions on Their Chain-of-Thought? CoRR Alexander von Recum, Leander Girrbach, Zeynep Akata
2026	J	`jnl`	Beyond the final layer: Attentive multilayer fusion for vision transformers. CoRR Laure Ciernik, Marco Morik, Lukas Thede, Luca Eyring, Shinichi Nakajima, Zeynep Akata, Lukas Muttenthaler
2026	J	`jnl`	CapTrack: Multifaceted Evaluation of Forgetting in LLM Post-Training. CoRR Lukas Thede, Stefan Winzeck, Zeynep Akata, Jonathan Richard Schwarz
2026	J	`jnl`	Diamond Maps: Efficient Reward Alignment via Stochastic Flow Maps. CoRR Peter Holderrieth, Douglas Chen, Luca Eyring, Ishin Shah, Giri Anantharaman, Yutong He, Zeynep Akata, Tommi S. Jaakkola, Nicholas Matthew Boffi, Max Simchowitz
2026	J	`jnl`	Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in modern Transformers. CoRR Yiran Huang, Karsten Roth, Quentin Bouniot, Wenjia Xu, Zeynep Akata
2026	J	`jnl`	Explaining CLIP Zero-shot Predictions Through Concepts. CoRR Onat Özdemir, Anders Christensen, Stephan Alaniz, Zeynep Akata, Emre Akbas
2026	J	`jnl`	FINER: MLLMs Hallucinate under Fine-grained Negative Queries. CoRR Rui Xiao, Sanghwan Kim, Yongqin Xian, Zeynep Akata, Stephan Alaniz
2026	J	`jnl`	From Drop-off to Recovery: A Mechanistic Analysis of Segmentation in MLLMs. CoRR Boyong Wu, Sanghwan Kim, Zeynep Akata
2026	J	`jnl`	Rethinking Concept Bottleneck Models: From Pitfalls to Solutions. CoRR Merve Tapli, Quentin Bouniot, Wolfgang Stammer, Zeynep Akata, Emre Akbas
2026	J	`jnl`	SOTAlign: Semi-Supervised Alignment of Unimodal Vision and Language Models via Optimal Transport. CoRR Simon Roschmann, Paul Krzakala, Sonia Mazelet, Quentin Bouniot, Zeynep Akata
2026	J	`jnl`	The Latent Color Subspace: Emergent Order in High-Dimensional Chaos. CoRR Mateusz Pach, Jessica Bader, Quentin Bouniot, Serge J. Belongie, Zeynep Akata
2026	J	`jnl`	TimeSAE: Sparse Decoding for Faithful Explanations of Black-Box Time Series Models. CoRR Khalid Oublal, Quentin Bouniot, Qi Gan, Stéphan Clémençon, Zeynep Akata
2026	J	`jnl`	UNBOX: Unveiling Black-box visual models with Natural-language. CoRR Simone Carnemolla, Chiara Maria Russo, Simone Palazzo, Quentin Bouniot, Daniela Giordano, Zeynep Akata, Matteo Pennisi, Concetto Spampinato
2025	J	`jnl`	A Large Scale Analysis of Gender Biases in Text-to-Image Generative Models. CoRR Leander Girrbach, Stephan Alaniz, Genevieve Smith, Zeynep Akata
2025	J	`jnl`	A Systematic Study of Model Merging Techniques in Large Language Models. CoRR Oguz Kagan Hitit, Leander Girrbach, Zeynep Akata
2025	J	`jnl`	Align-then-Unlearn: Embedding Alignment for LLM Unlearning. CoRR Philipp Spohn, Leander Girrbach, Jessica Bader, Zeynep Akata
2025	A*	`conf`	Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. ICLR Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz
2025	A*	`conf`	COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training. CVPR Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata
2025	J	`jnl`	Concept-Guided Interpretability via Neural Chunking. CoRR Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik, Peter S. Dayan, Eric Schulz, Zeynep Akata
2025	A*	`conf`	Context-Aware Multimodal Pretraining. CVPR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	A*	`conf`	Decoupling Angles and Strength in Low-rank Adaptation. ICLR Massimo Bini, Leander Girrbach, Zeynep Akata
2025	J	`jnl`	Decoupling Angles and Strength in Low-rank Adaptation. CoRR Massimo Bini, Leander Girrbach, Zeynep Akata
2025	J	`jnl`	Discovering Chunks in Neural Embeddings for Interpretability. CoRR Shuchen Wu, Stephan Alaniz, Eric Schulz, Zeynep Akata
2025	A*	`conf`	Disentangled Representation Learning with the Gromov-Monge Gap. ICLR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2025	A*	`conf`	FLAIR: VLM with Fine-grained Language-informed Image Representations. CVPR Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz
2025	J	`jnl`	Feasibility with Language Models for Open-World Compositional Zero-Shot Learning. CoRR Jae Myung Kim, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
2025	A*	`conf`	How to Merge Your Multimodal Models Over Time? CVPR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2025	—	`conf`	Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study. DAGM GCPR Yiran Huang, Lukas Thede, Massimiliano Mancini, Wenjia Xu, Zeynep Akata
2025	J	`jnl`	Investigating Structural Pruning and Recovery Techniques for Compressing Multimodal Large Language Models: An Empirical Study. CoRR Yiran Huang, Lukas Thede, Massimiliano Mancini, Wenjia Xu, Zeynep Akata
2025	J	`jnl`	LoFT: LoRA-fused Training Dataset Generation with Few-shot Guidance. CoRR Jae Myung Kim, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
2025	J	`jnl`	MemLoRA: Distilling Expert Adapters for On-Device Memory Systems. CoRR Massimo Bini, Ondrej Bohdal, Umberto Michieli, Zeynep Akata, Mete Ozay, Taha Ceritli
2025	J	`jnl`	Noise Hypernetworks: Amortizing Test-Time Compute in Diffusion Models. CoRR Luca Eyring, Shyamgopal Karthik, Alexey Dosovitskiy, Nataniel Ruiz, Zeynep Akata
2025	J	`jnl`	Person-Centric Annotations of LAION-400M: Auditing Bias and Its Transfer to Models. CoRR Leander Girrbach, Stephan Alaniz, Genevieve Smith, Trevor Darrell, Zeynep Akata
2025	J	`jnl`	Reference-Free Rating of LLM Responses via Latent Information. CoRR Leander Girrbach, Chi-Ping Su, Tankred Saanum, Richard Socher, Eric Schulz, Zeynep Akata
2025	A*	`conf`	Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). ICLR Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata
2025	—	`conf`	Road Obstacle Video Segmentation. DAGM GCPR Shyam Nandan Rai, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Barbara Caputo, Carlo Masone, Zeynep Akata
2025	J	`jnl`	Road Obstacle Video Segmentation. CoRR Shyam Nandan Rai, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Barbara Caputo, Carlo Masone, Zeynep Akata
2025	J	`jnl`	SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions. CoRR Jessica Bader, Leander Girrbach, Stephan Alaniz, Zeynep Akata
2025	J	`jnl`	Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models. CoRR Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge J. Belongie, Zeynep Akata
2025	J	`jnl`	Sparse Autoencoders are Topic Models. CoRR Leander Girrbach, Zeynep Akata
2025	J	`jnl`	Stitch: Training-Free Position Control in Multimodal Diffusion Transformers. CoRR Jessica Bader, Mateusz Pach, Maria A. Bravo, Serge J. Belongie, Zeynep Akata
2025	J	`jnl`	Subspace-Boosted Model Merging. CoRR Ronald Skorobogat, Karsten Roth, Mariana-Iuliana Georgescu, Zeynep Akata
2025	J	`jnl`	Time Series Representations for Classification Lie Hidden in Pretrained Vision Transformers. CoRR Simon Roschmann, Quentin Bouniot, Vasilii Feofanov, Ievgen Redko, Zeynep Akata
2025	J	`jnl`	Training-free Uncertainty Guidance for Complex Visual Tasks with MLLMs. CoRR Sanghwan Kim, Rui Xiao, Stephan Alaniz, Yongqin Xian, Zeynep Akata
2025	J	`jnl`	Understanding the Limits of Lifelong Knowledge Editing in LLMs. CoRR Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Tom Hartvigsen
2025	A*	`conf`	WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs. ICML Lukas Thede, Karsten Roth, Matthias Bethge, Zeynep Akata, Thomas Hartvigsen
2024	J	`jnl`	A Practitioner's Guide to Continual Multimodal Pretraining. CoRR Karsten Roth, Vishaal Udandarao, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Matthias Bethge, Zeynep Akata
2024	A*	`conf`	A Practitioner's Guide to Real-World Continual Multimodal Pretraining. NeurIPS Vishaal Udandarao, Karsten Roth, Sebastian Dziadzio, Ameya Prabhu, Mehdi Cherti, Oriol Vinyals, Olivier J. Hénaff, Samuel Albanie, Zeynep Akata, Matthias Bethge
2024	—	`conf`	Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models. CVPR Workshops David Kurzendörfer, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata
2024	J	`jnl`	Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models. CoRR David Kurzendörfer, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata
2024	J	`jnl`	Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences. CoRR Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz
2024	J	`jnl`	COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training. CoRR Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata
2024	J	`jnl`	Context-Aware Multimodal Pretraining. CoRR Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic, Olivier J. Hénaff
2024	—	`conf`	DataDream: Few-Shot Guided Dataset Generation. ECCV (71) Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
2024	J	`jnl`	DataDream: Few-shot Guided Dataset Generation. CoRR Jae Myung Kim, Jessica Bader, Stephan Alaniz, Cordelia Schmid, Zeynep Akata
2024	J	`jnl`	Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap. CoRR Théo Uscidda, Luca Eyring, Karsten Roth, Fabian J. Theis, Zeynep Akata, Marco Cuturi
2024	A*	`conf`	ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. ICML Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva
2024	J	`jnl`	ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections. CoRR Massimo Bini, Karsten Roth, Zeynep Akata, Anna Khoreva
2024	—	`conf`	EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. ECCV (37) Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata
2024	J	`jnl`	EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval. CoRR Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu, Zeynep Akata
2024	J	`jnl`	FLAIR: VLM with Fine-grained Language-informed Image Representations. CoRR Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz
2024	A*	`conf`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2024	—	`conf`	Geometry Fidelity for Spherical Images. ECCV (80) Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar González-Franco, Andrea Colaco
2024	J	`jnl`	Geometry Fidelity for Spherical Images. CoRR Anders Christensen, Nooshin Mojab, Khushman Patel, Karan Ahuja, Zeynep Akata, Ole Winther, Mar González-Franco, Andrea Colaco
2024	J	`jnl`	How to Merge Your Multimodal Models Over Time? CoRR Sebastian Dziadzio, Vishaal Udandarao, Karsten Roth, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge
2024	—	`conf`	Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. ECCV (26) Nishad Singhi, Jae Myung Kim, Karsten Roth, Zeynep Akata
2024	J	`jnl`	Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models. CoRR Nishad Singhi, Jae-Myung Kim, Karsten Roth, Zeynep Akata
2024	J	`jnl`	Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2024	J	`jnl`	Opening the Black-Box: A Systematic Review on Explainable AI in Remote Sensing. CoRR Adrian Höhl, Ivica Obadic, Miguel-Ángel Fernández-Torres, Hiba Najjar, Dário A. B. Oliveira, Zeynep Akata, Andreas Dengel, Xiao Xiang Zhu
2024	J	`jnl`	Post-hoc Probabilistic Vision-Language Models. CoRR Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp
2024	A*	`conf`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. NeurIPS Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2024	J	`jnl`	ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization. CoRR Luca Eyring, Shyamgopal Karthik, Karsten Roth, Alexey Dosovitskiy, Zeynep Akata
2024	—	`conf`	Reflecting on the State of Rehearsal-Free Continual Learning with Pretrained Models. CoLLAs Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	J	`jnl`	Reflecting on the State of Rehearsal-free Continual Learning with Pretrained Models. CoRR Lukas Thede, Karsten Roth, Olivier J. Hénaff, Matthias Bethge, Zeynep Akata
2024	J	`jnl`	Relational Proxies: Fine-Grained Relationships as Zero-Shot Discriminators. IEEE Trans. Pattern Anal. Mach. Intell. Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta
2024	J	`jnl`	Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs). CoRR Leander Girrbach, Yiran Huang, Stephan Alaniz, Trevor Darrell, Zeynep Akata
2024	J	`jnl`	Scalable Ranked Preference Optimization for Text-to-Image Generation. CoRR Shyamgopal Karthik, Huseyin Coskun, Zeynep Akata, Sergey Tulyakov, Jian Ren, Anil Kag
2024	J	`jnl`	Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata
2024	J	`jnl`	SemioLLM: Assessing Large Language Models for Semiological Analysis in Epilepsy Research. CoRR Meghal Dani, Muthu Jeyanthi Prakash, Zeynep Akata, Stefanie Liebe
2024	A*	`conf`	Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. ICLR Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis
2024	A*	`conf`	Vision-by-Language for Training-Free Compositional Image Retrieval. ICLR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2023	J	`jnl`	Addressing caveats of neural persistence with deep graph persistence. CoRR Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke
2023	J	`jnl`	Addressing caveats of neural persistence with deep graph persistence. Trans. Mach. Learn. Res. Leander Girrbach, Anders Christensen, Ole Winther, Zeynep Akata, A. Sophia Koepke
2023	J	`jnl`	Audio Retrieval With Natural Language Queries: A Benchmark Study. IEEE Trans. Multim. A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
2023	A*	`conf`	Bridging the Gap Between Model Explanations in Partially Annotated Multi-Label Classification. CVPR Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee
2023	J	`jnl`	Bridging the Gap between Model Explanations in Partially Annotated Multi-label Classification. CoRR Youngwook Kim, Jae-Myung Kim, Jieun Jeong, Cordelia Schmid, Zeynep Akata, Jungwoo Lee
2023	—	`conf`	DeViL: Decoding Vision features into Language. DAGM Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
2023	J	`jnl`	DeViL: Decoding Vision features into Language. CoRR Meghal Dani, Isabel Rio-Torto, Stephan Alaniz, Zeynep Akata
2023	A*	`conf`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. ICLR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2023	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. IEEE Trans. Pattern Anal. Mach. Intell. Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Seungho Lee, Zeynep Akata, Hyunjung Shim
2023	—	`conf`	Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CVPR Workshops Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata
2023	J	`jnl`	Exposing and Mitigating Spurious Correlations for Cross-Modal Retrieval. CoRR Jae-Myung Kim, A. Sophia Koepke, Cordelia Schmid, Zeynep Akata
2023	J	`jnl`	Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. CoRR Karsten Roth, Lukas Thede, Almut Sophia Koepke, Oriol Vinyals, Olivier J. Hénaff, Zeynep Akata
2023	J	`jnl`	How should the advent of large language models affect the practice of science? CoRR Marcel Binz, Stephan Alaniz, Adina Roskies, Balazs Aczel, Carl T. Bergstrom, Colin Allen, Daniel Schad, Dirk U. Wulff, Jevin D. West, Qiong Zhang, Richard M. Shiffrin, Samuel J. Gershman, Ven Popov, Emily M. Bender, Marco Marelli, Matthew M. Botvinick, Zeynep Akata, Eric Schulz
2023	J	`jnl`	If at First You Don't Succeed, Try, Try Again: Faithful Diffusion-based Text-to-Image Generation by Selection. CoRR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2023	A*	`conf`	Image-free Classifier Injection for Zero-Shot Classification. ICCV Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata
2023	J	`jnl`	Image-free Classifier Injection for Zero-Shot Classification. CoRR Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata
2023	A*	`conf`	In-Context Impersonation Reveals Large Language Models' Strengths and Biases. NeurIPS Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
2023	J	`jnl`	In-Context Impersonation Reveals Large Language Models' Strengths and Biases. CoRR Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, Zeynep Akata
2023	J	`jnl`	Inducing anxiety in large language models increases exploration and bias. CoRR Julian Coda-Forno, Kristin Witte, Akshay K. Jagadish, Marcel Binz, Zeynep Akata, Eric Schulz
2023	A*	`conf`	Iterative Superquadric Recomposition of 3D Objects from Multiple Views. ICCV Stephan Alaniz, Massimiliano Mancini, Zeynep Akata
2023	J	`jnl`	Iterative Superquadric Recomposition of 3D Objects from Multiple Views. CoRR Stephan Alaniz, Massimiliano Mancini, Zeynep Akata
2023	A*	`conf`	Meta-in-context learning in large language models. NeurIPS Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matt M. Botvinick, Jane X. Wang, Eric Schulz
2023	J	`jnl`	Meta-in-context learning in large language models. CoRR Julian Coda-Forno, Marcel Binz, Zeynep Akata, Matthew M. Botvinick, Jane X. Wang, Eric Schulz
2023	A*	`conf`	PDiscoNet: Semantically consistent part discovery for fine-grained recognition. ICCV Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
2023	J	`jnl`	PDiscoNet: Semantically consistent part discovery for fine-grained recognition. CoRR Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio F. Dantas, Dino Ienco, Zeynep Akata, Diego Marcos
2023	J	`jnl`	Posterior Annealing: Fast Calibrated Uncertainty for Regression. CoRR Uddeshya Upadhyay, Jae-Myung Kim, Cordelia Schmid, Bernhard Schölkopf, Zeynep Akata
2023	A*	`conf`	ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. ICCV Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2023	J	`jnl`	ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. CoRR Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2023	—	`conf`	Text-to-Feature Diffusion for Audio-Visual Few-Shot Learning. DAGM Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
2023	J	`jnl`	Text-to-feature diffusion for audio-visual few-shot learning. CoRR Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. CVPR Workshops Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	—	`conf`	The Manifold Hypothesis for Gradient-Based Explanations. XAI4CV Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2023	A*	`conf`	Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. NeurIPS Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta
2023	J	`jnl`	Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships. CoRR Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta
2023	A	`conf`	USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. UAI Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
2023	J	`jnl`	USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution. CoRR Vikrant Rangnekar, Uddeshya Upadhyay, Zeynep Akata, Biplab Banerjee
2023	J	`jnl`	Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation. CoRR Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian J. Theis
2023	A	`conf`	Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. WACV Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
2023	A	`conf`	Video-adverb retrieval with compositional adverb-action embeddings. BMVC Thomas Hummel, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata
2023	J	`jnl`	Video-adverb retrieval with compositional adverb-action embeddings. CoRR Thomas Hummel, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata
2023	J	`jnl`	Vision-by-Language for Training-Free Compositional Image Retrieval. CoRR Shyamgopal Karthik, Karsten Roth, Massimiliano Mancini, Zeynep Akata
2023	A*	`conf`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. ICCV Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2023	J	`jnl`	Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. CoRR Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata
2023	—	`conf`	Zero-Shot Translation of Attention Patterns in VQA Models to Natural Language. DAGM Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata
2023	J	`jnl`	Zero-shot Translation of Attention Patterns in VQA Models to Natural Language. CoRR Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata
2023	J	`jnl`	Zero-shot audio captioning with audio-language model guidance and audio context keywords. CoRR Leonard Salewski, Stefan Fauth, A. Sophia Koepke, Zeynep Akata
2022	—	`conf`	A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. ECCV (26) Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
2022	J	`jnl`	A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning. CoRR Michael Kirchhof, Karsten Roth, Zeynep Akata, Enkelejda Kasneci
2022	—	`conf`	Abstracting Sketches Through Simple Primitives. ECCV (29) Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
2022	J	`jnl`	Abstracting Sketches through Simple Primitives. CoRR Stephan Alaniz, Massimiliano Mancini, Anjan Dutta, Diego Marcos, Zeynep Akata
2022	—	`conf`	Any-Shot GIN: Generalizing Implicit Networks for Reconstructing Novel Classes. 3DV Yongqin Xian, Julian Chibane, Bharat Lal Bhatnagar, Bernt Schiele, Zeynep Akata, Gerard Pons-Moll
2022	—	`conf`	Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. CVPR Workshops Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata
2022	J	`jnl`	Attention Consistency on Visual Corruptions for Single-Source Domain Generalization. CoRR Ilke Çugu, Massimiliano Mancini, Yanbei Chen, Zeynep Akata
2022	J	`jnl`	Attribute Prediction as Multiple Instance Learning. Trans. Mach. Learn. Res. Diego Marcos, Aike Potze, Wenjia Xu, Devis Tuia, Zeynep Akata
2022	J	`jnl`	Attribute Prototype Network for Any-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	Attribute Prototype Network for Any-Shot Learning. Int. J. Comput. Vis. Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	Audio-visual Generalised Zero-shot Learning with Cross-modal Attention and Language. CoRR Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata
2022	A*	`conf`	Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language. CVPR Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata
2022	J	`jnl`	BDA-SketRet: Bi-Level Domain Adaptation for Zero-Shot SBIR. CoRR Ushasi Chaudhuri, Ruchika Chavhan, Biplab Banerjee, Anjan Dutta, Zeynep Akata
2022	J	`jnl`	BDA-SketRet: Bi-level domain adaptation for zero-shot SBIR. Neurocomputing Ushasi Chaudhuri, Ruchika Chavan, Biplab Banerjee, Anjan Dutta, Zeynep Akata
2022	—	`conf`	BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. ECCV (12) Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
2022	J	`jnl`	BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks. CoRR Uddeshya Upadhyay, Shyamgopal Karthik, Yanbei Chen, Massimiliano Mancini, Zeynep Akata
2022	J	`jnl`	CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations. CoRR Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata
2022	—	`conf`	Compositional Mixture Representations for Vision and Text. CVPR Workshops Stephan Alaniz, Marco Federici, Zeynep Akata
2022	J	`jnl`	Compositional Mixture Representations for Vision and Text. CoRR Stephan Alaniz, Marco Federici, Zeynep Akata
2022	A	`conf`	Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval. BMVC Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, Anjan Dutta
2022	J	`jnl`	Cross-Modal Fusion Distillation for Fine-Grained Sketch-Based Image Retrieval. CoRR Abhra Chaudhuri, Massimiliano Mancini, Yanbei Chen, Zeynep Akata, Anjan Dutta
2022	J	`jnl`	Disentanglement of Correlated Factors via Hausdorff Factorized Support. CoRR Karsten Roth, Mark Ibrahim, Zeynep Akata, Pascal Vincent, Diane Bouchacourt
2022	A	`conf`	Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment. BMVC Yuchen Ma, Yanbei Chen, Zeynep Akata
2022	J	`jnl`	Distilling Knowledge from Self-Supervised Teacher by Embedding Graph Alignment. CoRR Yuchen Ma, Yanbei Chen, Zeynep Akata
2022	J	`jnl`	Generalized Few-Shot Video Classification With Video Retrieval and Feature Generation. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Bruno Korbar, Matthijs Douze, Lorenzo Torresani, Bernt Schiele, Zeynep Akata
2022	A*	`conf`	Integrating Language Guidance into Vision-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Integrating Language Guidance into Vision-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	A*	`conf`	KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CVPR Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2022	J	`jnl`	KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. CoRR Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata
2022	A*	`conf`	Large Loss Matters in Weakly Supervised Multi-Label Classification. CVPR Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee
2022	J	`jnl`	Large Loss Matters in Weakly Supervised Multi-Label Classification. CoRR Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee
2022	J	`jnl`	Momentum-based Weight Interpolation of Strong Zero-Shot Models for Continual Learning. CoRR Zafir Stojanovski, Karsten Roth, Zeynep Akata
2022	A*	`conf`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CVPR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	J	`jnl`	Non-isotropy Regularization for Proxy-based Deep Metric Learning. CoRR Karsten Roth, Oriol Vinyals, Zeynep Akata
2022	Misc	`conf`	PlanT: Explainable Planning Transformers via Object-Level Representations. CoRL Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022	J	`jnl`	PlanT: Explainable Planning Transformers via Object-Level Representations. CoRR Katrin Renz, Kashyap Chitta, Otniel-Bogdan Mercea, A. Sophia Koepke, Zeynep Akata, Andreas Geiger
2022	—	`conf`	Probabilistic Compositional Embeddings for Multimodal Image Retrieval. CVPR Workshops Neculai Andrei, Yanbei Chen, Zeynep Akata
2022	J	`jnl`	Probabilistic Compositional Embeddings for Multimodal Image Retrieval. CoRR Neculai Andrei, Yanbei Chen, Zeynep Akata
2022	A*	`conf`	Relational Proxies: Emergent Relationships as Fine-Grained Discriminators. NeurIPS Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta
2022	J	`jnl`	Relational Proxies: Emergent Relationships as Fine-Grained Discriminators. CoRR Abhra Chaudhuri, Massimiliano Mancini, Zeynep Akata, Anjan Dutta
2022	J	`jnl`	Semantic Image Synthesis with Semantically Coupled VQ-Model. CoRR Stephan Alaniz, Thomas Hummel, Zeynep Akata
2022	J	`jnl`	Semi-Supervised and Unsupervised Deep Visual Learning: A Survey. CoRR Yanbei Chen, Massimiliano Mancini, Xiatian Zhu, Zeynep Akata
2022	—	`conf`	Temporal and Cross-modal Attention for Audio-Visual Zero-Shot Learning. ECCV (20) Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
2022	J	`jnl`	Temporal and cross-modal attention for audio-visual zero-shot learning. CoRR Otniel-Bogdan Mercea, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
2022	J	`jnl`	The Manifold Hypothesis for Gradient-Based Explanations. CoRR Sebastian Bordt, Uddeshya Upadhyay, Zeynep Akata, Ulrike von Luxburg
2022	—	`conf`	Uniform Priors for Data-Efficient Learning. CVPR Workshops Samarth Sinha, Karsten Roth, Anirudh Goyal, Marzyeh Ghassemi, Zeynep Akata, Hugo Larochelle, Animesh Garg
2022	J	`jnl`	Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation. CoRR Anurag Das, Yongqin Xian, Yang He, Zeynep Akata, Bernt Schiele
2022	A*	`conf`	VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CVPR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2022	J	`jnl`	VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2021	—	`conf`	(SP) GCPR Anurag Das, Yongqin Xian, Yang He, Bernt Schiele, Zeynep Akata
2021	—	`conf`	A Closer Look at Self-Training for Zero-Label Semantic Segmentation. CVPR Workshops Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
2021	J	`jnl`	A Closer Look at Self-training for Zero-Label Semantic Segmentation. CoRR Giuseppe Pastore, Fabio Cermelli, Yongqin Xian, Massimiliano Mancini, Zeynep Akata, Barbara Caputo
2021	A	`conf`	Audio Retrieval with Natural Language Queries. Interspeech Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	J	`jnl`	Audio Retrieval with Natural Language Queries. CoRR Andreea-Maria Oncescu, A. Sophia Koepke, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	J	`jnl`	Audio Retrieval with Natural Language Queries: A Benchmark Study. CoRR A. Sophia Koepke, Andreea-Maria Oncescu, João F. Henriques, Zeynep Akata, Samuel Albanie
2021	J	`jnl`	Computer Vision and Pattern Recognition 2020. Int. J. Comput. Vis. Zeynep Akata, Andreas Geiger, Torsten Sattler
2021	—	`conf`	Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. ICCVW Anjan Dutta, Massimiliano Mancini, Zeynep Akata
2021	J	`jnl`	Concurrent Discrimination and Alignment for Self-Supervised Feature Learning. CoRR Anjan Dutta, Massimiliano Mancini, Zeynep Akata
2021	A	`conf`	Conditional De-Identification of 3D Magnetic Resonance Images. BMVC Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
2021	J	`jnl`	Conditional De-Identification of 3D Magnetic Resonance Images. CoRR Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
2021	A*	`conf`	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CVPR Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
2021	J	`jnl`	Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. CoRR Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata
2021	A*	`conf`	Fine-Grained Zero-Shot Learning with DNA as Side Information. NeurIPS Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
2021	J	`jnl`	Fine-Grained Zero-Shot Learning with DNA as Side Information. CoRR Sarkhan Badirli, Zeynep Akata, George O. Mohler, Christine Picard, Murat Dundar
2021	A	`conf`	Human Attention in Fine-grained Classification. BMVC Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci
2021	J	`jnl`	Human Attention in Fine-grained Classification. CoRR Yao Rong, Wenjia Xu, Zeynep Akata, Enkelejda Kasneci
2021	A*	`conf`	Keep CALM and Improve Visual Feature Attribution. ICCV Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	J	`jnl`	Keep CALM and Improve Visual Feature Attribution. CoRR Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh
2021	A*	`conf`	Learning Decision Trees Recurrently Through Communication. CVPR Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata
2021	A*	`conf`	Learning Graph Embeddings for Compositional Zero-Shot Learning. CVPR Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
2021	J	`jnl`	Learning Graph Embeddings for Compositional Zero-shot Learning. CoRR Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata
2021	J	`jnl`	Learning Graph Embeddings for Open World Compositional Zero-Shot Learning. CoRR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	A*	`conf`	Open World Compositional Zero-Shot Learning. CVPR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	J	`jnl`	Open World Compositional Zero-Shot Learning. CoRR Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata
2021	—	`ed.`	Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28 - October 1, 2020, Proceedings GCPR Zeynep Akata, Andreas Geiger, Torsten Sattler
2021	A	`conf`	Prototype-based Incremental Few-Shot Segmentation. BMVC Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
2021	A*	`conf`	Robustness via Uncertainty-aware Cycle Consistency. NeurIPS Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2021	J	`jnl`	Robustness via Uncertainty-aware Cycle Consistency. CoRR Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2021	—	`conf`	Uncertainty-Guided Progressive GANs for Medical Image Translation. MICCAI (3) Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	J	`jnl`	Uncertainty-Guided Progressive GANs for Medical Image Translation. CoRR Uddeshya Upadhyay, Yanbei Chen, Tobias Hepp, Sergios Gatidis, Zeynep Akata
2021	J	`jnl`	Uncertainty-aware Generalized Adaptive CycleGAN. CoRR Uddeshya Upadhyay, Yanbei Chen, Zeynep Akata
2021	J	`jnl`	Where and When: Space-Time Attention for Audio-Visual Explanations. CoRR Yanbei Chen, Thomas Hummel, A. Sophia Koepke, Zeynep Akata
2021	A*	`conf`	e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2021	J	`jnl`	e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2020	J	`jnl`	A Few Guidelines for Incremental Few-Shot Segmentation. CoRR Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo
2020	J	`jnl`	A Research Agenda for Hybrid Intelligence: Augmenting Human Intellect With Collaborative, Adaptive, Responsible, and Explainable Artificial Intelligence. Computer Zeynep Akata, Dan Balliet, Maarten de Rijke, Frank Dignum, Virginia Dignum, Guszti Eiben, Antske Fokkens, Davide Grossi, Koen V. Hindriks, Holger H. Hoos, Hayley Hung, Catholijn M. Jonker, Christof Monz, Mark A. Neerincx, Frans A. Oliehoek, Henry Prakken, Stefan Schlobach, Linda C. van der Gaag, Frank van Harmelen, Herke van Hoof, Birna van Riemsdijk, Aimee van Wynsberghe, Rineke Verbrugge, Bart Verheij, Piek Vossen, Max Welling
2020	A*	`conf`	Attribute Prototype Network for Zero-Shot Learning. NeurIPS Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2020	J	`jnl`	Attribute Prototype Network for Zero-Shot Learning. CoRR Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata
2020	—	`conf`	Bayesian Zero-Shot Learning. ECCV Workshops (1) Sarkhan Badirli, Zeynep Akata, Murat Dundar
2020	—	`conf`	CLEVR-X: A Visual Reasoning Dataset for Natural Language Explanations. xxAI@ICML Leonard Salewski, A. Sophia Koepke, Hendrik P. A. Lensch, Zeynep Akata
2020	—	`conf`	Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. ITSC Yao Rong, Zeynep Akata, Enkelejda Kasneci
2020	J	`jnl`	Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring. CoRR Yao Rong, Zeynep Akata, Enkelejda Kasneci
2020	A*	`conf`	Evaluating Weakly Supervised Object Localization Methods Right. CVPR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluating Weakly Supervised Object Localization Methods Right. CoRR Junsuk Choe, Seong Joon Oh, Seungho Lee, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	J	`jnl`	Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets. CoRR Junsuk Choe, Seong Joon Oh, Sanghyuk Chun, Zeynep Akata, Hyunjung Shim
2020	—	`conf`	Generalized Many-Way Few-Shot Video Classification. ECCV Workshops (6) Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	J	`jnl`	Generalized Many-Way Few-Shot Video Classification. CoRR Yongqin Xian, Bruno Korbar, Matthijs Douze, Bernt Schiele, Zeynep Akata, Lorenzo Torresani
2020	—	`conf`	Generating Visual and Semantic Explanations with Multi-task Network. ECCV Workshops (1) Wenjia Xu, Jiuniu Wang, Yang Wang, Yirong Wu, Zeynep Akata
2020	A*	`conf`	Learning Robust Representations via Multi-View Information Bottleneck. ICLR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2020	J	`jnl`	Learning Robust Representations via Multi-View Information Bottleneck. CoRR Marco Federici, Anjan Dutta, Patrick Forré, Nate Kushman, Zeynep Akata
2020	J	`jnl`	Manipulating Attributes of Natural Scenes via Hallucination. ACM Trans. Graph. Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem
2020	J	`jnl`	Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-Based Image Retrieval. Int. J. Comput. Vis. Anjan Dutta, Zeynep Akata
2020	J	`jnl`	Semantically Tied Paired Cycle Consistency for Any-Shot Sketch-based Image Retrieval. CoRR Anjan Dutta, Zeynep Akata
2020	—	`conf`	Towards Recognizing Unseen Categories in Unseen Domains. ECCV (23) Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo
2020	J	`jnl`	Towards Recognizing Unseen Categories in Unseen Domains. CoRR Massimiliano Mancini, Zeynep Akata, Elisa Ricci, Barbara Caputo
2020	J	`jnl`	e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz
2019	J	`jnl`	Bayesian Zero-Shot Learning. CoRR Sarkhan Badirli, Zeynep Akata, Murat Dundar
2019	A*	`conf`	Combining Generative and Discriminative Models for Hybrid Inference. NeurIPS Victor Garcia Satorras, Max Welling, Zeynep Akata
2019	J	`jnl`	Combining Generative and Discriminative Models for Hybrid Inference. CoRR Victor Garcia Satorras, Zeynep Akata, Max Welling
2019	A*	`conf`	F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2019	A*	`conf`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CVPR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	—	`conf`	Generalized Zero-Shot Learning via Aligned Variational Autoencoders. CVPR Workshops Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2019	J	`jnl`	Interpreting Adversarial Examples with Attributes. CoRR Sadaf Gulshad, Jan Hendrik Metzen, Arnold W. M. Smeulders, Zeynep Akata
2019	A*	`conf`	Modeling Conceptual Understanding in Image Reference Games. NeurIPS Rodolfo Corona, Stephan Alaniz, Zeynep Akata
2019	J	`jnl`	Modeling Conceptual Understanding in Image Reference Games. CoRR Rodolfo Corona, Stephan Alaniz, Zeynep Akata
2019	J	`jnl`	Relational Generalized Few-Shot Learning. CoRR Xiahan Shi, Leonard Salewski, Martin Schiegg, Zeynep Akata, Max Welling
2019	A*	`conf`	Semantic Projection Network for Zero- and Few-Label Semantic Segmentation. CVPR Yongqin Xian, Subhabrata Choudhury, Yang He, Bernt Schiele, Zeynep Akata
2019	A*	`conf`	Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-Based Image Retrieval. CVPR Anjan Dutta, Zeynep Akata
2019	J	`jnl`	Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval. CoRR Anjan Dutta, Zeynep Akata
2019	J	`jnl`	Understanding Misclassifications by Attributes. CoRR Sadaf Gulshad, Zeynep Akata, Jan Hendrik Metzen, Arnold W. M. Smeulders
2019	J	`jnl`	Visual Rationalizations in Deep Reinforcement Learning for Atari Games. CoRR Laurens Weitkamp, Elise van der Pol, Zeynep Akata
2019	J	`jnl`	XOC: Explainable Observer-Classifier for Explainable Binary Decisions. CoRR Stephan Alaniz, Zeynep Akata
2019	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. IEEE Trans. Pattern Anal. Mach. Intell. Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2019	—	`conf`	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CVPR Workshops Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2019	J	`jnl`	f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning. CoRR Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
2018	—	`conf`	A Data-driven Study on Preferred Situations for Running. UbiComp/ISWC Adjunct Shihan Wang, Joris Alexander Timmer, Simon Scheider, Karlijn Sporrel, Zeynep Akata, Ben J. A. Kröse
2018	C	`conf`	Explainable AI: The New 42? CD-MAKE Randy Goebel, Ajay Chander, Katharina Holzinger, Freddy Lécué, Zeynep Akata, Simone Stumpf, Peter Kieseberg, Andreas Holzinger
2018	A*	`conf`	Feature Generating Networks for Zero-Shot Learning. CVPR Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
2018	J	`jnl`	Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders. CoRR Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
2018	J	`jnl`	Generating Counterfactual Explanations with Natural Language. CoRR Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata
2018	—	`conf`	Grounding Visual Explanations. ECCV (2) Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata
2018	J	`jnl`	Grounding Visual Explanations. CoRR Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata
2018	J	`jnl`	Manipulating Attributes of Natural Scenes via Hallucination. CoRR Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem
2018	A*	`conf`	Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CVPR Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
2018	J	`jnl`	Multimodal Explanations: Justifying Decisions and Pointing to the Evidence. CoRR Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
2018	J	`jnl`	Primal-Dual Wasserstein GAN. CoRR Mevlana Gemici, Zeynep Akata, Max Welling
2018	—	`conf`	Textual Explanations for Self-Driving Vehicles. ECCV (2) Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata
2018	J	`jnl`	Textual Explanations for Self-Driving Vehicles. CoRR Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John F. Canny, Zeynep Akata
2018	—	`conf`	Visual Rationalizations in Deep Reinforcement Learning for Atari Games. BNCAI Laurens Weitkamp, Elise van der Pol, Zeynep Akata
2018	—	`conf`	WiCV at ECCV2018: The Fifth Women in Computer Vision Workshop. ECCV Workshops (4) Zeynep Akata, Dena Bazazian, Yana Hasson, Angjoo Kanazawa, Hildegard Kuehne, Gül Varol
2017	J	`jnl`	Attentive Explanations: Justifying Decisions and Pointing to the Evidence (Extended Abstract). CoRR Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Anna Rohrbach, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
2017	J	`jnl`	Channel-Recurrent Variational Autoencoders. CoRR Wenling Shang, Kihyuk Sohn, Zeynep Akata, Yuandong Tian
2017	A*	`conf`	Exploiting Saliency for Object Segmentation from Image Level Labels. CVPR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Exploiting saliency for object segmentation from image level labels. CoRR Seong Joon Oh, Rodrigo Benenson, Anna Khoreva, Zeynep Akata, Mario Fritz, Bernt Schiele
2017	J	`jnl`	Feature Generating Networks for Zero-Shot Learning. CoRR Yongqin Xian, Tobias Lorenz, Bernt Schiele, Zeynep Akata
2017	A*	`conf`	Gaze Embeddings for Zero-Shot Image Classification. CVPR Nour Karessli, Zeynep Akata, Bernt Schiele, Andreas Bulling
2017	J	`jnl`	Grounding Visual Explanations (Extended Abstract). CoRR Lisa Anne Hendricks, Ronghang Hu, Trevor Darrell, Zeynep Akata
2017	J	`jnl`	Zero-Shot Learning - A Comprehensive Evaluation of the Good, the Bad and the Ugly. CoRR Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
2017	A*	`conf`	Zero-Shot Learning - The Good, the Bad and the Ugly. CVPR Yongqin Xian, Bernt Schiele, Zeynep Akata
2017	J	`jnl`	Zero-Shot Learning - The Good, the Bad and the Ugly. CoRR Yongqin Xian, Bernt Schiele, Zeynep Akata
2016	J	`jnl`	Attentive Explanations: Justifying Decisions and Pointing to the Evidence. CoRR Dong Huk Park, Lisa Anne Hendricks, Zeynep Akata, Bernt Schiele, Trevor Darrell, Marcus Rohrbach
2016	J	`jnl`	Gaze Embeddings for Zero-Shot Image Classification. CoRR Nour Karessli, Zeynep Akata, Andreas Bulling, Bernt Schiele
2016	—	`conf`	Generating Visual Explanations. ECCV (4) Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell
2016	J	`jnl`	Generating Visual Explanations. CoRR Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell
2016	A*	`conf`	Generative Adversarial Text to Image Synthesis. ICML Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
2016	J	`jnl`	Generative Adversarial Text to Image Synthesis. CoRR Scott E. Reed, Zeynep Akata, Xinchen Yan, Lajanugen Logeswaran, Bernt Schiele, Honglak Lee
2016	J	`jnl`	Label-Embedding for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid
2016	A*	`conf`	Latent Embeddings for Zero-Shot Classification. CVPR Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele
2016	J	`jnl`	Latent Embeddings for Zero-shot Classification. CoRR Yongqin Xian, Zeynep Akata, Gaurav Sharma, Quynh Nguyen, Matthias Hein, Bernt Schiele
2016	A*	`conf`	Learning Deep Representations of Fine-Grained Visual Descriptions. CVPR Scott E. Reed, Zeynep Akata, Honglak Lee, Bernt Schiele
2016	J	`jnl`	Learning Deep Representations of Fine-grained Visual Descriptions. CoRR Scott E. Reed, Zeynep Akata, Bernt Schiele, Honglak Lee
2016	—	`conf`	Learning What and Where to Draw. NIPS Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee
2016	J	`jnl`	Learning What and Where to Draw. CoRR Scott E. Reed, Zeynep Akata, Santosh Mohan, Samuel Tenka, Bernt Schiele, Honglak Lee
2016	J	`jnl`	Learning to Generate Images of Outdoor Scenes from Attributes and Semantic Layouts. CoRR Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem
2016	J	`jnl`	Multi-Cue Zero-Shot Learning with Strong Supervision. CoRR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2016	A*	`conf`	Multi-cue Zero-Shot Learning with Strong Supervision. CVPR Zeynep Akata, Mateusz Malinowski, Mario Fritz, Bernt Schiele
2015	A*	`conf`	Evaluation of output embeddings for fine-grained image classification. CVPR Zeynep Akata, Scott E. Reed, Daniel Walter, Honglak Lee, Bernt Schiele
2015	J	`jnl`	Label-Embedding for Image Classification. CoRR Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid
2014	—	`—`	Contributions to large-scale learning for image classification. (Contributions à l'apprentissage grande échelle pour la classification d'images). Zeynep Akata
2014	J	`jnl`	Good Practice in Large-Scale Learning for Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid
2014	J	`jnl`	Zero-Shot Learning with Structured Embeddings. CoRR Zeynep Akata, Honglak Lee, Bernt Schiele
2013	A*	`conf`	Label-Embedding for Attribute-Based Classification. CVPR Zeynep Akata, Florent Perronnin, Zaïd Harchaoui, Cordelia Schmid
2012	A*	`conf`	Towards good practice in large-scale learning for image classification. CVPR Florent Perronnin, Zeynep Akata, Zaïd Harchaoui, Cordelia Schmid