Aida Nematzadeh

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 50

Top Topics

Visual Representations

Question Answering

Top Venues

Publications

Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
Evaluating Numerical Reasoning in Text-to-Image Models. CoRR (2024)
Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajic, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh
Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. CoRR (2024)
Ivana Kajic, Aida Nematzadeh
Evaluating Visual Number Discrimination in Deep Neural Networks. CogSci (2023)
Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. EMNLP (2023)
Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. CoRR (2023)
Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joseph Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh
A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames. CoRR (2023)
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh
Measuring Progress in Fine-grained Vision-and-Language Understanding. CoRR (2023)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. EACL (Findings) (2023)
Oscar Mañas, Pau Rodríguez López, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. EACL (2023)
Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. EMNLP (Findings) (2023)
Ivana Kajic, Aida Nematzadeh
Evaluating Visual Number Discrimination in Deep Neural Networks. CoRR (2023)
Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh
Measuring Progress in Fine-grained Vision-and-Language Understanding. ACL (1) (2023)
Pei Zhou, Aman Madaan, Srividya Pranavi Potharaju, Aditya Gupta, Kevin R. McKee, Ari Holtzman, Jay Pujara, Xiang Ren, Swaroop Mishra, Aida Nematzadeh, Shyam Upadhyay, Manaal Faruqui
How FaR Are Large Language Models From Agents with Theory-of-Mind? CoRR (2023)
Oscar Mañas, Pau Rodríguez, Saba Ahmadi, Aida Nematzadeh, Yash Goyal, Aishwarya Agrawal
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. CoRR (2022)
Aishwarya Agrawal, Ivana Kajic, Emanuele Bugliarello, Elnaz Davoodi, Anita Gergely, Phil Blunsom, Aida Nematzadeh
Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. CoRR (2022)
Aishwarya Agrawal, Damien Teney, Aida Nematzadeh
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) (2022)
Xiang Lorraine Li, Adhiguna Kuncoro, Jordan Hoffmann, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
A Systematic Investigation of Commonsense Knowledge in Large Language Models. EMNLP (2022)
Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. CoRR (2022)
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan
Flamingo: a Visual Language Model for Few-Shot Learning. CoRR (2022)
Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu
The Emergence of Gender Associations in Child Language Development. Cogn. Sci. 46 (6) (2022)
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan
Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS (2022)
Zahra Shekarchi, Aida Nematzadeh, Tom Griffiths, Suzanne Stevenson
Mutual Exclusivity as Competition in Cross-situational Word Learning. CogSci (2021)
Lisa Anne Hendricks, Aida Nematzadeh
Probing Image-Language Transformers for Verb Understanding. ACL/IJCNLP (Findings) (2021)
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, H. Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant M. Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d'Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William S. Isaac, Edward Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, Geoffrey Irving
Scaling Language Models: Methods, Analysis & Insights from Training Gopher. CoRR (2021)
Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. CoRR (2021)
Xiang Lorraine Li, Adhiguna Kuncoro, Cyprien de Masson d'Autume, Phil Blunsom, Aida Nematzadeh
A Systematic Investigation of Commonsense Understanding in Large Language Models. CoRR (2021)
Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. Trans. Assoc. Comput. Linguistics 9 (2021)
Lisa Anne Hendricks, Aida Nematzadeh
Probing Image-Language Transformers for Verb Understanding. CoRR (2021)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CoRR (2020)
Gunnar A. Sigurdsson, Jean-Baptiste Alayrac, Aida Nematzadeh, Lucas Smaira, Mateusz Malinowski, João Carreira, Phil Blunsom, Andrew Zisserman
Visual Grounding in Video for Unsupervised Word Translation. CVPR (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. CoRR (2020)
Aida Nematzadeh, Zahra Shekarchi, Thomas L. Griffiths, Suzanne Stevenson
Competition in Cross-situational Word Learning: A Computational Study. CoRR (2020)
Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh
Learning to Segment Actions from Observation and Narration. ACL (2020)
Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu
Tracing the Emergence of Gendered Language in Childhood. CogSci (2020)
Aida Nematzadeh, Richard Futrell, Roger Levy
Language Learning and Processing in People and Machines. NAACL-HLT (Tutorial Abstracts) (2019)
Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CogSci (2018)
Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Exploiting Attention to Reveal Shortcomings in Memory Models. BlackboxNLP@EMNLP (2018)
Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Thomas L. Griffiths
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CoRR (2018)
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Evaluating Theory of Mind in Question Answering. CoRR (2018)
Filip Miscevic, Aida Nematzadeh, Suzanne Stevenson
Predicting and Explaining Human Semantic Search in a Cognitive Model. CMCL (2018)
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths
Evaluating Theory of Mind in Question Answering. EMNLP (2018)
Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang, Suzanne Stevenson
Calculating Probabilities Simplifies Word Learning. CogSci (2017)
Aida Nematzadeh, Stephan C. Meylan, Thomas L. Griffiths
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words. CogSci (2017)
Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang, Suzanne Stevenson
Calculating Probabilities Simplifies Word Learning. CoRR (2017)
Filip Miscevic, Aida Nematzadeh, Suzanne Stevenson
Predicting and Explaining Human Semantic Search in a Cognitive Model. CoRR (2017)
Erin Grant, Aida Nematzadeh, Thomas L. Griffiths
How Can Memory-Augmented Neural Networks Pass a False-Belief Task? CogSci (2017)
Aida Nematzadeh, Filip Miscevic, Suzanne Stevenson
Simple Search Algorithms on Semantic Networks Learned from Language Use. CogSci (2016)
Aida Nematzadeh, Filip Miscevic, Suzanne Stevenson
Simple Search Algorithms on Semantic Networks Learned from Language Use. CoRR (2016)
Erin Grant, Aida Nematzadeh, Suzanne Stevenson
The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CogSci (2016)
Erin Grant, Aida Nematzadeh, Suzanne Stevenson
The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CoRR (2016)
Aida Nematzadeh, Erin Grant, Suzanne Stevenson
A Computational Cognitive Model of Novel Word Generalization. EMNLP (2015)
Aida Nematzadeh, Erin Grant, Suzanne Stevenson
A Computational Account of Novel Word Generalization. CogSci (2015)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
Structural Differences in the Semantic Networks of Simulated Word Learners. CogSci (2014)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
A Cognitive Model of Semantic Network Learning. EMNLP (2014)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
Desirable Difficulty in Learning: A Computational Investigation. CogSci (2013)
Barend Beekhuizen, Afsaneh Fazly, Aida Nematzadeh, Suzanne Stevenson
Word Learning in the Wild: What Natural Data Can Tell Us. CogSci (2013)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
Interaction of Word Learning and Semantic Category Formation in Late Talking. CogSci (2012)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
A Computational Model of Memory, Attention, and Word Learning. CMCL@NAACL-HLT (2012)
Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson
A Computational Study of Late Talking in Word-Meaning Acquisition. CogSci (2011)