Hamed Firooz

According to our database1, Hamed Firooz authored at least 26 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
CoRR, 2023

Understanding the detrimental class-level effects of data augmentation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Identifying Interpretable Subspaces in Image Representations.
Proceedings of the International Conference on Machine Learning, 2023

COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Defending Against Patch-based Backdoor Attacks on Self-Supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Meta-training with Demonstration Retrieval for Efficient Few-shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
FRAME: Evaluating Simulatability Metrics for Free-Text Rationales.
CoRR, 2022

ER-TEST: Evaluating Explanation Regularization Methods for NLP Models.
CoRR, 2022

Understanding Failure Modes of Self-Supervised Learning.
CoRR, 2022

BARACK: Partially Supervised Group Robustness With Guarantees.
CoRR, 2022

Detecting and Understanding Harmful Memes: A Survey.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

UNIREX: A Unified Learning Framework for Language Model Rationale Extraction.
Proceedings of the International Conference on Machine Learning, 2022

ER-Test: Evaluating Explanation Regularization Methods for Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

A Survey on Multimodal Disinformation Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Detection, Disambiguation, Re-ranking: Autoregressive Entity Linking as a Multi-Task Problem.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision.
CoRR, 2021

Modality-specific Distillation.
CoRR, 2021

SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detecting Propaganda Techniques in Memes.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Adversarial Evaluation of Multimodal Models under Realistic Gray Box Assumption.
CoRR, 2020

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020


2019
Supervised Multimodal Bitransformers for Classifying Images and Text.
Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019


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