Emanuele Bugliarello

Orcid: 0000-0002-2999-7081

According to our database1, Emanuele Bugliarello authored at least 25 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
On the Interplay between Fairness and Explainability.
CoRR, 2023

A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision.
CoRR, 2023

Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation.
Proceedings of the Eighth Conference on Machine Translation, 2023

StoryBench: A Multifaceted Benchmark for Continuous Story Visualization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Language Modelling with Pixels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Evaluating Bias and Fairness in Gender-Neutral Pretrained Vision-and-Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

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

Mostra: A Flexible Balancing Framework to Trade-off User, Artist and Platform Objectives for Music Sequencing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages.
Proceedings of the International Conference on Machine Learning, 2022

Multilingual Multimodal Learning with Machine Translated Text.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Challenges and Strategies in Cross-Cultural NLP.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Ancestor-to-Creole Transfer is Not a Walk in the Park.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
Multimodal Pretraining Unmasked: A Meta-Analysis and a Unified Framework of Vision-and-Language BERTs.
Trans. Assoc. Comput. Linguistics, 2021

Vision-and-Language or Vision-for-Language? On Cross-Modal Influence in Multimodal Transformers.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Visually Grounded Reasoning across Languages and Cultures.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

The Role of Syntactic Planning in Compositional Image Captioning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

On Language Models for Creoles.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
Multimodal Pretraining Unmasked: Unifying the Vision and Language BERTs.
CoRR, 2020

Enhancing Machine Translation with Dependency-Aware Self-Attention.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Improving Neural Machine Translation with Parent-Scaled Self-Attention.
CoRR, 2019

Matrix Completion in the Unit Hypercube via Structured Matrix Factorization.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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