2024

• Evaluating Numerical Reasoning in Text-to-Image Models
  Ivana Kajić, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh
  NeurIPS 2024 [GeckoNum Benchmark]
• Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings
  Olivia Wiles*, Chuhan Zhang*, Isabela Albuquerque*, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, Aida Nematzadeh (*: equal contribution)
  arXiv 2024 [Gecko Benchmark]
• Imagen 3
  Imagen-Team-Google
  arXiv 2024

2023

• Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches
  D. Fried, N. Tomlin, J. Hu, R. Patel, A. Nematzadeh
  Findings of EMNLP 2023
• Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining
  E. Bugliarello, A. Nematzadeh*, LA Hendricks* (*: equal contribution)
  EMNLP 2023
• Measuring Progress in Fine-grained Vision-and-Language Understanding
  E. Bugliarello, L. Sartran, A. Agrawal, LA Hendricks*, A. Nematzadeh* (*: equal contribution)
  ACL 2023
• MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting
  O. Mañas, P. Rodriguez Lopez, S. Ahmadi, A. Nematzadeh, Y. Goyal, A. Agrawal
  EACL 2023
• Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization
  A. Agrawal, I. Kajic, E. Bugliarello, E. Davoodi, A. Gergely, P. Blunsom, A. Nematzadeh
  Findings of EACL 2023 [Extended Tech Report; see for the summary of contributions]
• Evaluating Visual Number Discrimination in Deep Neural Networks
  I. Kajić and A. Nematzadeh
  CogSci 2023

2022

• Flamingo: a Visual Language Model for Few-Shot Learning
  JB Alayrac, J. Donahue, P. Luc, A. Miech et al.
  NeurIPS 2022
• The Emergence of Gender Associations in Child Language Development
  B. Prystawski, E. Grant, A. Nematzadeh, S. W. S. Lee, S. Stevenson, Y. Xu
  Cognitive Science 2022
• A Systematic Investigation of Commonsense Knowledge in Large Language Models
  X. L. Li, A. Kuncoro, J. Hoffmann, C. de Masson d’Autume, P. Blunsom, A. Nematzadeh
  EMNLP 2022

2021

• Scaling Language Models: Methods, Analysis & Insights from Training Gopher
  J. W. Rae et al.
  arXiv 2021
• Probing Image-Language Transformers for Verb Understanding
  LA Hendricks and A. Nematzadeh
  Findings of ACL 2021 [SVOProbes dataset]
• Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers
  LA Hendricks, J. Mellor, R. Schneider, JB Alayrac, A. Nematzadeh
  TACL 2021 [summary] [pretrained models]

2020

• Competition in Cross-situational Word Learning: A Computational Study
  A. Nematzadeh, Z. Shekarchi, T. L. Griffiths, S. Stevenson
  arXiv 2020 [CogSci 2021 Abstract]
• Learning to Segment Actions from Observation and Narration
  D. Fried, JB Alayrac, P. Blunsom, C. Dyer, S. Clark, A. Nematzadeh
  ACL 2020 [summary]
• Tracing the Emergence of Gendered Language in Childhood
  B. Prystawski, E. Grant, A. Nematzadeh, S. WS Lee, S. Stevenson, Y. Xu
  CogSci 2020
• On Memory in Human and Artificial Language Processing Systems
  A. Nematzadeh*, S. Ruder*, D. Yogatama* (*: equal contribution)
  Bridging AI and Cognitive Science Workshop at ICLR 2020
• Visual Grounding in Video for Unsupervised Word Translation
  G. A. Sigurdsson, JB Alayrac, A. Nematzadeh, L. Smaira, M. Malinowski, J. Carreira, P. Blunsom, A. Zisserman
  CVPR 2020 [summary]

2018

• Evaluating Theory of Mind in Question Answering
  A. Nematzadeh, K. Burns, E. Grant, A. Gopnik, and T. Griffiths
  EMNLP 2018 (oral presentation) [video] [New Scientist]
• Exploiting Attention to Reveal Shortcomings in Memory Models
  K. Burns, A. Nematzadeh, E. Grant, A. Gopnik, and T. Griffiths
  BlackboxNLP workshop at EMNLP 2018 (poster presentation)
• Distributed Shared Memory for Machine Learning
  A. Tootoonchian, A. Panda, A. Nematzadeh, and S. Shenker
  SysML 2018
• Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels
  J. Peterson, P. Soulos, A. Nematzadeh, and T. Griffiths
  CogSci 2018 (poster presentation)
• Predicting and Explaining Human Semantic Search in a Cognitive Model
  F. Miscevic, A. Nematzadeh, and S. Stevenson
  CMCL 2018 (oral presentation)

2017

• Calculating Probabilities Simplifies Word Learning
  A. Nematzadeh, B. Beekhuizen, S. Huang, and S. Stevenson
  CogSci 2017 (oral presentation)
• Evaluating Vector-Space Models of Word Representation
  A. Nematzadeh, S. Meylan, and T. Griffiths
  CogSci 2017 (oral presentation)
• How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
  E. Grant, A. Nematzadeh, and T. Griffiths
  CogSci 2017 (oral presentation)

2016

• Simple Search Algorithms on Semantic Networks Learned from Language Use
  A. Nematzadeh, F. Miscevic and S. Stevenson
  CogSci 2016 (poster presentation)
• The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation
  E. Grant, A. Nematzadeh, and S. Stevenson
  CogSci 2016 (oral presentation)[code]

2015

• Computational Modeling of Word Learning: The Role of Cognitive Processes
  A. Nematzadeh
  Ph.D. thesis.
• A Computational Cognitive Model of Novel Word Generalization
  A. Nematzadeh, E. Grant, and S. Stevenson
  EMNLP 2015 (oral presentation) [code] [video] [bibtex]

2014

• A Cognitive Model of Semantic Network Learning
  

  A. Nematzadeh, A. Fazly, and S. Stevenson
  EMNLP 2014 (oral presentation) [code] [video] [bibtex]

• Structural Differences in the Semantic Networks of Simulated Word Learners
  A. Nematzadeh, A. Fazly, and S. Stevenson
  CogSci 2014 (oral presentation) [code] [bibtex]

2013

• Desirable Difficulty in Learning: A Computational Investigation
  A. Nematzadeh, A. Fazly, and S. Stevenson
  CogSci 2013 (oral presentation). [bibtex] [CoLa blog]
• Word Learning in the Wild: What Natural Data Can Tell Us
  B. Beekhuizen, A. Fazly, A. Nematzadeh, and S. Stevenson
  CogSci 2013 (poster presentation). [bibtex]
• Child Acquisition of Multiword Verbs: A Computational Investigation
  A. Nematzadeh, A. Fazly, and S. Stevenson
  in T. Poibeau, A. Villavicencio, A. Korhonen and A. Alishahi (eds). Cognitive Aspects of Computational Language Acquisition, Springer, 2013.

pre 2013

• A Computational Model of Memory, Attention, and Word Learning
  A. Nematzadeh, A. Fazly, and S. Stevenson
  CMCL 2012 (oral presentation). [bibtex]
• Interaction of Word Learning and Semantic Category Formation in Late Talking
  A. Nematzadeh, A. Fazly, and S. Stevenson
  CogSci 2012 (poster presentation). [bibtex]
• A Computational Study of Late Talking in Word-Meaning Acquisition
  A. Nematzadeh, A. Fazly, and S. Stevenson
  CogSci 2011 (poster presentation). [poster] [bibtex]
• The Role of Statistical Evidence in Child Acquisition of Multiword Verbs
  A. Nematzadeh
  Master's paper. Department of Computer Science, University of Toronto. January 2010 [bibtex]
• Acquiring Multiword Verbs: The Role of Statistical Evidence
  A. Fazly, A. Nematzadeh, and S. Stevenson
  CogSci 2009 (oral presentation). [bibtex]