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2020 – today
- 2024
[c34]Pinelopi Papalampidi, Skanda Koppula, Shreya Pathak, Justin Chiu, Joe Heyward, Viorica Patraucean, Jiajun Shen, Antoine Miech, Andrew Zisserman, Aida Nematzadeh:
A Simple Recipe for Contrastively Pre-Training Video-First Encoders Beyond 16 Frames. CVPR 2024: 14386-14397- [i24]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 abs/2404.16820 (2024) - [i23]Ivana Kajic, Olivia Wiles, Isabela Albuquerque, Matthias Bauer, Su Wang, Jordi Pont-Tuset, Aida Nematzadeh:
Evaluating Numerical Reasoning in Text-to-Image Models. CoRR abs/2406.14774 (2024) - 2023
- [c33]Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh:
Measuring Progress in Fine-grained Vision-and-Language Understanding. ACL (1) 2023: 1559-1582 - [c32]Ivana Kajic, Aida Nematzadeh:
Evaluating Visual Number Discrimination in Deep Neural Networks. CogSci 2023 - [c31]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: 1171-1196 - [c30]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: 2515-2540 - [c29]Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks:
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. EMNLP 2023: 3052-3071 - [c28]Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh:
Pragmatics in Language Grounding: Phenomena, Tasks, and Modeling Approaches. EMNLP (Findings) 2023: 12619-12640 - [i22]Ivana Kajic, Aida Nematzadeh:
Evaluating Visual Number Discrimination in Deep Neural Networks. CoRR abs/2303.07172 (2023) - [i21]Emanuele Bugliarello, Laurent Sartran, Aishwarya Agrawal, Lisa Anne Hendricks, Aida Nematzadeh:
Measuring Progress in Fine-grained Vision-and-Language Understanding. CoRR abs/2305.07558 (2023) - [i20]Emanuele Bugliarello, Aida Nematzadeh, Lisa Anne Hendricks:
Weakly-Supervised Learning of Visual Relations in Multimodal Pretraining. CoRR abs/2305.14281 (2023) - [i19]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 abs/2310.03051 (2023) - [i18]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 abs/2312.07395 (2023) - 2022
- [j2]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) - [c27]Aishwarya Agrawal, Damien Teney, Aida Nematzadeh:
Vision-Language Pretraining: Current Trends and the Future. ACL (tutorial) 2022: 38-43 - [c26]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: 11838-11855 - [c25]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 - [i17]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 abs/2204.14198 (2022) - [i16]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 abs/2205.12191 (2022) - [i15]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 abs/2210.07179 (2022) - [i14]Daniel Fried, Nicholas Tomlin, Jennifer Hu, Roma Patel, Aida Nematzadeh:
Pragmatics in Grounded Language Learning: Phenomena, Tasks, and Modeling Approaches. CoRR abs/2211.08371 (2022) - 2021
- [j1]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: 570-585 (2021) - [c24]Lisa Anne Hendricks, Aida Nematzadeh:
Probing Image-Language Transformers for Verb Understanding. ACL/IJCNLP (Findings) 2021: 3635-3644 - [c23]Zahra Shekarchi, Aida Nematzadeh, Tom Griffiths, Suzanne Stevenson:
Mutual Exclusivity as Competition in Cross-situational Word Learning. CogSci 2021 - [i13]Lisa Anne Hendricks, John Mellor, Rosalia Schneider, Jean-Baptiste Alayrac, Aida Nematzadeh:
Decoupling the Role of Data, Attention, and Losses in Multimodal Transformers. CoRR abs/2102.00529 (2021) - [i12]Lisa Anne Hendricks, Aida Nematzadeh:
Probing Image-Language Transformers for Verb Understanding. CoRR abs/2106.09141 (2021) - [i11]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 abs/2111.00607 (2021) - [i10]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 J. Johnson, Blake A. Hechtman, Laura Weidinger, Iason Gabriel, William 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 abs/2112.11446 (2021) - 2020
- [c22]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. ACL 2020: 2569-2588 - [c21]Ben Prystawski, Erin Grant, Aida Nematzadeh, Spike W. S. Lee, Suzanne Stevenson, Yang Xu:
Tracing the Emergence of Gendered Language in Childhood. CogSci 2020 - [c20]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: 10847-10856 - [i9]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 abs/2003.05078 (2020) - [i8]Daniel Fried, Jean-Baptiste Alayrac, Phil Blunsom, Chris Dyer, Stephen Clark, Aida Nematzadeh:
Learning to Segment Actions from Observation and Narration. CoRR abs/2005.03684 (2020) - [i7]Aida Nematzadeh, Zahra Shekarchi, Thomas L. Griffiths, Suzanne Stevenson:
Competition in Cross-situational Word Learning: A Computational Study. CoRR abs/2012.03370 (2020)
2010 – 2019
- 2019
- [c19]Aida Nematzadeh, Richard Futrell, Roger Levy:
Language Learning and Processing in People and Machines. NAACL-HLT (Tutorial Abstracts) 2019: 19-21 - 2018
- [c18]Filip Miscevic, Aida Nematzadeh, Suzanne Stevenson:
Predicting and Explaining Human Semantic Search in a Cognitive Model. CMCL 2018: 35-45 - [c17]Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Tom Griffiths:
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CogSci 2018 - [c16]Kaylee Burns, Aida Nematzadeh, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Exploiting Attention to Reveal Shortcomings in Memory Models. BlackboxNLP@EMNLP 2018: 378-380 - [c15]Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Evaluating Theory of Mind in Question Answering. EMNLP 2018: 2392-2400 - [i6]Joshua C. Peterson, Paul Soulos, Aida Nematzadeh, Thomas L. Griffiths:
Learning Hierarchical Visual Representations in Deep Neural Networks Using Hierarchical Linguistic Labels. CoRR abs/1805.07647 (2018) - [i5]Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, Thomas L. Griffiths:
Evaluating Theory of Mind in Question Answering. CoRR abs/1808.09352 (2018) - 2017
- [c14]Erin Grant, Aida Nematzadeh, Thomas L. Griffiths:
How Can Memory-Augmented Neural Networks Pass a False-Belief Task? CogSci 2017 - [c13]Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang, Suzanne Stevenson:
Calculating Probabilities Simplifies Word Learning. CogSci 2017 - [c12]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 - [i4]Aida Nematzadeh, Barend Beekhuizen, Shanshan Huang, Suzanne Stevenson:
Calculating Probabilities Simplifies Word Learning. CoRR abs/1702.06672 (2017) - [i3]Filip Miscevic, Aida Nematzadeh, Suzanne Stevenson:
Predicting and Explaining Human Semantic Search in a Cognitive Model. CoRR abs/1711.11125 (2017) - 2016
- [b1]Aida Nematzadeh:
Computational Modeling of Word Learning: The Role of Cognitive Processes. University of Toronto, Canada, 2016 - [c11]Erin Grant, Aida Nematzadeh, Suzanne Stevenson:
The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CogSci 2016 - [c10]Aida Nematzadeh, Filip Miscevic, Suzanne Stevenson:
Simple Search Algorithms on Semantic Networks Learned from Language Use. CogSci 2016 - [i2]Aida Nematzadeh, Filip Miscevic, Suzanne Stevenson:
Simple Search Algorithms on Semantic Networks Learned from Language Use. CoRR abs/1602.03265 (2016) - [i1]Erin Grant, Aida Nematzadeh, Suzanne Stevenson:
The Interaction of Memory and Attention in Novel Word Generalization: A Computational Investigation. CoRR abs/1602.05944 (2016) - 2015
- [c9]Aida Nematzadeh, Erin Grant, Suzanne Stevenson:
A Computational Account of Novel Word Generalization. CogSci 2015 - [c8]Aida Nematzadeh, Erin Grant, Suzanne Stevenson:
A Computational Cognitive Model of Novel Word Generalization. EMNLP 2015: 1795-1804 - 2014
- [c7]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
Structural Differences in the Semantic Networks of Simulated Word Learners. CogSci 2014 - [c6]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
A Cognitive Model of Semantic Network Learning. EMNLP 2014: 244-254 - 2013
- [c5]Barend Beekhuizen, Afsaneh Fazly, Aida Nematzadeh, Suzanne Stevenson:
Word Learning in the Wild: What Natural Data Can Tell Us. CogSci 2013 - [c4]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
Desirable Difficulty in Learning: A Computational Investigation. CogSci 2013 - [p1]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
Child Acquisition of Multiword Verbs: A Computational Investigation. Cognitive Aspects of Computational Language Acquisition 2013: 235-256 - 2012
- [c3]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
A Computational Model of Memory, Attention, and Word Learning. CMCL@NAACL-HLT 2012: 80-89 - [c2]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
Interaction of Word Learning and Semantic Category Formation in Late Talking. CogSci 2012 - 2011
- [c1]Aida Nematzadeh, Afsaneh Fazly, Suzanne Stevenson:
A Computational Study of Late Talking in Word-Meaning Acquisition. CogSci 2011
Coauthor Index
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last updated on 2024-11-13 23:47 CET by the dblp team
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