Ahmad Rashid

According to our database, Ahmad Rashid authored at least 25 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks.

Ahmad Rashid, Serena Hacker, Guojun Zhang, Agustinus Kristiadi, Pascal Poupart

CoRR, 2023

LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization.

Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Attribute Controlled Dialogue Prompting.

Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding.

Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais

CoRR, 2022

Learning functions on multiple sets using multi-set transformers.

Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging.

Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing.

Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Xinyu Duan, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Kronecker Decomposition for GPT Compression.

Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition.

Abbas Ghaddar, Philippe Langlais, Ahmad Rashid, Mehdi Rezagholizadeh

Trans. Assoc. Comput. Linguistics, 2021

JABER: Junior Arabic BERt.

Abbas Ghaddar, Yimeng Wu, Ahmad Rashid, Khalil Bibi, Mehdi Rezagholizadeh, Chao Xing, Yasheng Wang, Duan Xinyu, Zhefeng Wang, Baoxing Huai, Xin Jiang, Qun Liu, Philippe Langlais

CoRR, 2021

A Short Study on Compressing Decoder-Based Language Models.

Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh

CoRR, 2021

How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.

Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh

CoRR, 2021

Robust Embeddings Via Distributions.

Kira A. Selby, Yinong Wang, Ruizhe Wang, Peyman Passban, Ahmad Rashid, Mehdi Rezagholizadeh, Pascal Poupart

CoRR, 2021

NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation.

David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Towards Zero-Shot Knowledge Distillation for Natural Language Processing.

Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation.

Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding.

Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Knowledge Distillation with Noisy Labels for Natural Language Understanding.

Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation.

Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

End-to-End Self-Debiasing Framework for Robust NLU Training.

Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

From Unsupervised Machine Translation to Adversarial Text Generation.

Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition.

Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Distilled embedding: non-linear embedding factorization using knowledge distillation.

Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh

CoRR, 2019

Bilingual-GAN: A Step Towards Parallel Text Generation.

Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh

CoRR, 2019

Latent Code and Text-based Generative Adversarial Networks for Soft-text Generation.

Md. Akmal Haidar, Mehdi Rezagholizadeh, Alan Do-Omri, Ahmad Rashid

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019