Aida Nematzadeh

According to our database1, Aida Nematzadeh authored at least 47 papers between 2011 and 2024.

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Bibliography

2024
Evaluating Numerical Reasoning in Text-to-Image Models.
CoRR, 2024

Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings.
CoRR, 2024

A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
How FaR Are Large Language Models From Agents with Theory-of-Mind?
CoRR, 2023

Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot Prompting.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Evaluating Visual Number Discrimination in Deep Neural Networks.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

Measuring Progress in Fine-grained Vision-and-Language Understanding.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches.
CoRR, 2022

Rethinking Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization.
CoRR, 2022

Flamingo: a Visual Language Model for Few-Shot Learning.
CoRR, 2022

The Emergence of Gender Associations in Child Language Development.
Cogn. Sci., 2022


A Systematic Investigation of Commonsense Knowledge in Large Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Vision-Language Pretraining: Current Trends and the Future.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers.
Trans. Assoc. Comput. Linguistics, 2021

Scaling Language Models: Methods, Analysis & Insights from Training Gopher.
CoRR, 2021

A Systematic Investigation of Commonsense Understanding in Large Language Models.
CoRR, 2021

Mutual Exclusivity as Competition in Cross-situational Word Learning.
Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Probing Image-Language Transformers for Verb Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Competition in Cross-situational Word Learning: A Computational Study.
CoRR, 2020

Visual Grounding in Video for Unsupervised Word Translation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Tracing the Emergence of Gendered Language in Childhood.
Proceedings of the 42th Annual Meeting of the Cognitive Science Society, 2020

Learning to Segment Actions from Observation and Narration.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Language Learning and Processing in People and Machines.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018
Evaluating Theory of Mind in Question Answering.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Attention to Reveal Shortcomings in Memory Models.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018

Predicting and Explaining Human Semantic Search in a Cognitive Model.
Proceedings of the 8th Workshop on Cognitive Modeling and Computational Linguistics, 2018

2017
Evaluating Vector-Space Models of Word Representation, or, The Unreasonable Effectiveness of Counting Words Near Other Words.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

Calculating Probabilities Simplifies Word Learning.
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

How Can Memory-Augmented Neural Networks Pass a False-Belief Task?
Proceedings of the 39th Annual Meeting of the Cognitive Science Society, 2017

2016
Computational Modeling of Word Learning: The Role of Cognitive Processes.
PhD thesis, 2016

Simple Search Algorithms on Semantic Networks Learned from Language Use.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation.
Proceedings of the 38th Annual Meeting of the Cognitive Science Society, 2016

2015
A Computational Cognitive Model of Novel Word Generalization.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

A Computational Account of Novel Word Generalization.
Proceedings of the 37th Annual Meeting of the Cognitive Science Society, 2015

2014
A Cognitive Model of Semantic Network Learning.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Structural Differences in the Semantic Networks of Simulated Word Learners.
Proceedings of the 36th Annual Meeting of the Cognitive Science Society, 2014

2013
Child Acquisition of Multiword Verbs: A Computational Investigation.
Proceedings of the Cognitive Aspects of Computational Language Acquisition, 2013

Desirable Difficulty in Learning: A Computational Investigation.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

Word Learning in the Wild: What Natural Data Can Tell Us.
Proceedings of the 35th Annual Meeting of the Cognitive Science Society, 2013

2012
Interaction of Word Learning and Semantic Category Formation in Late Talking.
Proceedings of the 34th Annual Meeting of the Cognitive Science Society, 2012

A Computational Model of Memory, Attention, and Word Learning.
Proceedings of the 3rd Workshop on Cognitive Modeling and Computational Linguistics, 2012

2011
A Computational Study of Late Talking in Word-Meaning Acquisition.
Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011


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