A Computational Study of Late Talking in Word-Meaning Acquisition. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (CogSci, 2011)

A Computational Model of Memory, Attention, and Word Learning. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (CMCL@NAACL-HLT, 2012)

Interaction of Word Learning and Semantic Category Formation in Late Talking. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (CogSci, 2012)

Word Learning in the Wild: What Natural Data Can Tell Us. - Barend Beekhuizen; Afsaneh Fazly; Aida Nematzadeh; Suzanne Stevenson (CogSci, 2013)

Desirable Difficulty in Learning: A Computational Investigation. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (CogSci, 2013)

Child Acquisition of Multiword Verbs: A Computational Investigation. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (Cognitive Aspects of Computational Language Acquisition, 2013)

Structural Differences in the Semantic Networks of Simulated Word Learners. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (CogSci, 2014)

A Cognitive Model of Semantic Network Learning. - Aida Nematzadeh; Afsaneh Fazly; Suzanne Stevenson (EMNLP, 2014)

A Computational Account of Novel Word Generalization. - Aida Nematzadeh; Erin Grant; Suzanne Stevenson (CogSci, 2015)

A Computational Cognitive Model of Novel Word Generalization. - Aida Nematzadeh; Erin Grant; Suzanne Stevenson (EMNLP, 2015)

The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. - Erin Grant; Aida Nematzadeh; Suzanne Stevenson (CogSci, 2016)

Simple Search Algorithms on Semantic Networks Learned from Language Use. - Aida Nematzadeh; Filip Miscevic; Suzanne Stevenson (CogSci, 2016)

Computational Modeling of Word Learning: The Role of Cognitive Processes. - Aida Nematzadeh (2016)

How Can Memory-Augmented Neural Networks Pass a False-Belief Task? - Erin Grant; Aida Nematzadeh; Thomas L. Griffiths 001 (CogSci, 2017)

Calculating Probabilities Simplifies Word Learning. - Aida Nematzadeh; Barend Beekhuizen; Shanshan Huang; Suzanne Stevenson (CogSci, 2017)

Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words. - Aida Nematzadeh; Stephan C. Meylan; Thomas L. Griffiths 001 (CogSci, 2017)

Predicting and Explaining Human Semantic Search in a Cognitive Model. - Filip Miscevic; Aida Nematzadeh; Suzanne Stevenson (CMCL, 2018)

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. - Joshua C. Peterson; Paul Soulos; Aida Nematzadeh; Tom Griffiths 001 (CogSci, 2018)

Exploiting Attention to Reveal Shortcomings in Memory Models. - Kaylee Burns; Aida Nematzadeh; Erin Grant; Alison Gopnik; Thomas L. Griffiths 001 (BlackboxNLP@EMNLP, 2018)

Evaluating Theory of Mind in Question Answering. - Aida Nematzadeh; Kaylee Burns; Erin Grant; Alison Gopnik; Thomas L. Griffiths 001 (EMNLP, 2018)

Language Learning and Processing in People and Machines. - Aida Nematzadeh; Richard Futrell; Roger Levy (NAACL-HLT (Tutorial Abstracts), 2019)

Learning to Segment Actions from Observation and Narration. - Daniel Fried; Jean-Baptiste Alayrac; Phil Blunsom; Chris Dyer; Stephen Clark; Aida Nematzadeh (ACL, 2020)

Tracing the Emergence of Gendered Language in Childhood. - Ben Prystawski; Erin Grant; Aida Nematzadeh; Spike W. S. Lee; Suzanne Stevenson; Yang Xu 023 (CogSci, 2020)

Visual Grounding in Video for Unsupervised Word Translation. - Gunnar A. Sigurdsson; Jean-Baptiste Alayrac; Aida Nematzadeh; Lucas Smaira; Mateusz Malinowski; João Carreira 001; Phil Blunsom; Andrew Zisserman (CVPR, 2020)

Competition in Cross-situational Word Learning: A Computational Study. - Aida Nematzadeh; Zahra Shekarchi; Thomas L. Griffiths 001; Suzanne Stevenson (CoRR, 2020)

Probing Image-Language Transformers for Verb Understanding. - Lisa Anne Hendricks; Aida Nematzadeh (ACL/IJCNLP (Findings), 2021)

Mutual Exclusivity as Competition in Cross-situational Word Learning. - Zahra Shekarchi; Aida Nematzadeh; Tom Griffiths 001; Suzanne Stevenson (CogSci, 2021)

A Systematic Investigation of Commonsense Understanding in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (CoRR, 2021)

Scaling Language Models: Methods, Analysis & Insights from Training Gopher. - 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; et al. (CoRR, 2021)

Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. - Lisa Anne Hendricks; John Mellor; Rosalia Schneider; Jean-Baptiste Alayrac; Aida Nematzadeh (Trans. Assoc. Comput. Linguistics, 2021)

Vision-Language Pretraining: Current Trends and the Future. - Aishwarya Agrawal; Damien Teney; Aida Nematzadeh (ACL (tutorial), 2022)

A Systematic Investigation of Commonsense Knowledge in Large Language Models. - Xiang Lorraine Li; Adhiguna Kuncoro; Jordan Hoffmann; Cyprien de Masson d'Autume; Phil Blunsom; Aida Nematzadeh (EMNLP, 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - 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; et al. (NeurIPS, 2022)

The Emergence of Gender Associations in Child Language Development. - Ben Prystawski; Erin Grant; Aida Nematzadeh; Spike W. S. Lee; Suzanne Stevenson; Yang Xu 023 (Cogn. Sci., 2022)

Flamingo: a Visual Language Model for Few-Shot Learning. - 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; et al. (CoRR, 2022)

Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. - Aishwarya Agrawal; Ivana Kajic; Emanuele Bugliarello; Elnaz Davoodi; Anita Gergely; Phil Blunsom; Aida Nematzadeh (CoRR, 2022)

Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (CoRR, 2022)

Measuring Progress in Fine-grained Vision-and-Language Understanding. - Emanuele Bugliarello; Laurent Sartran; Aishwarya Agrawal; Lisa Anne Hendricks; Aida Nematzadeh (ACL (1), 2023)

Evaluating Visual Number Discrimination in Deep Neural Networks. - Ivana Kajic; Aida Nematzadeh (CogSci, 2023)

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization. - Aishwarya Agrawal; Ivana Kajic; Emanuele Bugliarello; Elnaz Davoodi; Anita Gergely; Phil Blunsom; Aida Nematzadeh (EACL (Findings), 2023)

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting. - Oscar Mañas; Pau Rodríguez López; Saba Ahmadi; Aida Nematzadeh; Yash Goyal; Aishwarya Agrawal (EACL, 2023)

Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. - Emanuele Bugliarello; Aida Nematzadeh; Lisa Anne Hendricks (EMNLP, 2023)

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. - Daniel Fried; Nicholas Tomlin; Jennifer Hu 001; Roma Patel; Aida Nematzadeh (EMNLP (Findings), 2023)

How FaR Are Large Language Models From Agents with Theory-of-Mind? - Pei Zhou; Aman Madaan; Srividya Pranavi Potharaju; Aditya Gupta; Kevin R. McKee; Ari Holtzman; Jay Pujara; Xiang Ren 001; Swaroop Mishra; Aida Nematzadeh; Shyam Upadhyay; Manaal Faruqui (CoRR, 2023)

A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. - Pinelopi Papalampidi; Skanda Koppula; Shreya Pathak; Justin Chiu; Joe Heyward; Viorica Patraucean; Jiajun Shen; Antoine Miech; Andrew Zisserman; Aida Nematzadeh (CVPR, 2024)

Evaluating Numerical Reasoning in Text-to-Image Models. - Ivana Kajic; Olivia Wiles; Isabela Albuquerque; Matthias Bauer; Su Wang 001; Jordi Pont-Tuset; Aida Nematzadeh (NeurIPS, 2024)

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Chris Knutsen; Cyrus Rashtchian; Jordi Pont-Tuset; Aida Nematzadeh (CoRR, 2024)

Revisiting text-to-image evaluation with Gecko: on metrics, prompts, and human rating. - Olivia Wiles; Chuhan Zhang; Isabela Albuquerque; Ivana Kajic; Su Wang 001; Emanuele Bugliarello; Yasumasa Onoe; Pinelopi Papalampidi; Ira Ktena; Christopher Knutsen; Cyrus Rashtchian; Anant Nawalgaria; et al. (ICLR, 2025)