Mehdi Rezagholizadeh

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 113

Top Venues

CoRR

EMNLP (Findings)

ACL (Findings)

ICASSP

Publications

Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Boxing Chen
On the importance of Data Scale in Pretraining Arabic Language Models. CoRR (2024)
Xindi Wang, Mahsa Salmani, Parsa Omidi, Xiangyu Ren, Mehdi Rezagholizadeh, Armaghan Eshaghi
Beyond the Limits: A Survey of Techniques to Extend the Context Length in Large Language Models. CoRR (2024)
Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh Tahaei, Hyock Ju Kwon, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning. CoRR (2024)
Anderson R. Avila, Mehdi Rezagholizadeh, Chao Xing
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding. CoRR (2023)
Yassir El Mesbahi, Atif Mahmud, Abbas Ghaddar, Mehdi Rezagholizadeh, Philippe Langlais, Prasanna Parthasarathi
On the utility of enhancing BERT syntactic bias with Token Reordering Pretraining. CoNLL (2023)
Arthur Pimentel, Heitor R. Guimarães, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
On the Impact of Quantization and Pruning of Self-Supervised Speech Models for Downstream Speech Recognition Tasks "In-the-Wild". CoRR (2023)
Vamsikrishna Chemudupati, Marzieh Tahaei, Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications. CoRR (2023)
Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
Evaluating Embedding APIs for Information Retrieval. ACL (industry) (2023)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Towards Fine-tuning Pre-trained Language Models with Integer Forward and Backward Propagation. EACL (Findings) (2023)
Mofetoluwa Adeyemi, Akintunde Oladipo, Xinyu Zhang, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Boxing Chen, Jimmy Lin
CIRAL at FIRE 2023: Cross-Lingual Information Retrieval for African Languages. FIRE (2023)
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. EACL (2023)
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. CoRR (2023)
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Attribute Controlled Dialogue Prompting. ACL (Findings) (2023)
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Pascal Poupart, Ali Ghodsi
Do we need Label Regularization to Fine-tune Pre-trained Language Models? EACL (2023)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. EMNLP (Findings) (2023)
Ehsan Kamalloo, Xinyu Zhang, Odunayo Ogundepo, Nandan Thakur, David Alfonso-Hermelo, Mehdi Rezagholizadeh, Jimmy Lin
Evaluating Embedding APIs for Information Retrieval. CoRR (2023)
Parsa Kavehzadeh, Mojtaba Valipour, Marzieh Tahaei, Ali Ghodsi, Boxing Chen, Mehdi Rezagholizadeh
Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT). CoRR (2023)
Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
RobustDistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness. CoRR (2023)
Amirhossein Kazemnejad, Mehdi Rezagholizadeh, Prasanna Parthasarathi, Sarath Chandar
Measuring the Knowledge Acquisition-Utilization Gap in Pretrained Language Models. CoRR (2023)
Ankur Agarwal, Mehdi Rezagholizadeh, Prasanna Parthasarathi
Practical Takes on Federated Learning with Pretrained Language Models. EACL (Findings) (2023)
Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
An Exploration into the Performance of Unsupervised Cross-Task Speech Representations for "In the Wild" Edge Applications. CoRR (2023)
Mojtaba Valipour, Mehdi Rezagholizadeh, Hossein Rajabzadeh, Marzieh Tahaei, Boxing Chen, Ali Ghodsi
SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks. CoRR (2023)
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. ACL (Findings) (2023)
Aref Jafari, Mehdi Rezagholizadeh, Ali Ghodsi
Improved knowledge distillation by utilizing backward pass knowledge in neural networks. CoRR (2023)
Runcheng Liu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Attribute Controlled Dialogue Prompting. CoRR (2023)
Nandan Thakur, Luiz Bonifacio, Xinyu Zhang, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Boxing Chen, Mehdi Rezagholizadeh, Jimmy Lin
NoMIRACL: Knowing When You Don't Know for Robust Multilingual Retrieval-Augmented Generation. CoRR (2023)
Peng Lu, Suyuchen Wang, Mehdi Rezagholizadeh, Bang Liu, Ivan Kobyzev
Efficient Classification of Long Documents via State-Space Models. EMNLP (2023)
Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Boxing Chen, Tiago H. Falk
Robustdistiller: Compressing Universal Speech Representations for Enhanced Environment Robustness. ICASSP (2023)
Peng Lu, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Philippe Langlais
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization. CoRR (2023)
Asaad Alghamdi, Xinyu Duan, Wei Jiang, Zhenhai Wang, Yimeng Wu, Qingrong Xia, Zhefeng Wang, Yi Zheng, Mehdi Rezagholizadeh, Baoxing Huai, Peilun Cheng, Abbas Ghaddar
AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing. CoRR (2023)
Asaad Alghamdi, Xinyu Duan, Wei Jiang, Zhenhai Wang, Yimeng Wu, Qingrong Xia, Zhefeng Wang, Yi Zheng, Mehdi Rezagholizadeh, Baoxing Huai, Peilun Cheng, Abbas Ghaddar
AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing. ACL (Findings) (2023)
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
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Processing. EMNLP (2022)
Ehsan Kamalloo, David Alfonso-Hermelo, Mehdi Rezagholizadeh
Huawei Noah's Ark Lab at TREC NeuCLIR 2022. TREC (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Abbas Ghaddar, Khalil Bibi, Philippe Langlais, Pascal Poupart
CILDA: Contrastive Data Augmentation using Intermediate Layer Knowledge Distillation. CoRR (2022)
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Learning functions on multiple sets using multi-set transformers. UAI (2022)
Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban
Dynamic Position Encoding for Transformers. CoRR (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh, Abbas Ghaddar, Khalil Bibi, Philippe Langlais, Pascal Poupart
CILDA: Contrastive Data Augmentation Using Intermediate Layer Knowledge Distillation. COLING (2022)
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. CoRR (2022)
Aref Jafari, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart, Ali Ghodsi
Continuation KD: Improved Knowledge Distillation through the Lens of Continuation Optimization. EMNLP (Findings) (2022)
Kira A. Selby, Ahmad Rashid, Ivan Kobyzev, Mehdi Rezagholizadeh, Pascal Poupart
Learning Functions on Multiple Sets using Multi-Set Transformers. CoRR (2022)
Jimmy Lin, David Alfonso-Hermelo, Vitor Jeronymo, Ehsan Kamalloo, Carlos Lassance, Rodrigo Frassetto Nogueira, Odunayo Ogundepo, Mehdi Rezagholizadeh, Nandan Thakur, Jheng-Hong Yang, Xinyu Zhang
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval. TREC (2022)
Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. CoRR (2022)
Mehdi Rezagholizadeh, Aref Jafari, Puneeth S. M. Saladi, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. COLING (2022)
Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. NAACL-HLT (Findings) (2022)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. EMNLP (Findings) (2022)
Xinyu Zhang, Nandan Thakur, Odunayo Ogundepo, Ehsan Kamalloo, David Alfonso-Hermelo, Xiaoguang Li, Qun Liu, Mehdi Rezagholizadeh, Jimmy Lin
Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages. CoRR (2022)
Mohammadreza Tayaranian, Alireza Ghaffari, Marzieh S. Tahaei, Mehdi Rezagholizadeh, Masoud Asgharian, Vahid Partovi Nia
Integer Fine-tuning of Transformer-based Models. CoRR (2022)
Krtin Kumar, Peyman Passban, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu
From Fully Trained to Fully Random Embeddings: Improving Neural Machine Translation with Compact Word Embedding Tables. AAAI (2022)
Mojtaba Valipour, Mehdi Rezagholizadeh, Ivan Kobyzev, Ali Ghodsi
DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation. CoRR (2022)
Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
Kronecker Decomposition for GPT Compression. ACL (2) (2022)
Joyce Zheng, Mehdi Rezagholizadeh, Peyman Passban
Dynamic Position Encoding for Transformers. COLING (2022)
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
Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language Understanding. CoRR (2022)
Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
KroneckerBERT: Significant Compression of Pre-trained Language Models Through Kronecker Decomposition and Knowledge Distillation. NAACL-HLT (2022)
Ehsan Kamalloo, Mehdi Rezagholizadeh, Ali Ghodsi
When Chosen Wisely, More Data Is What You Need: A Universal Sample-Efficient Strategy For Data Augmentation. ACL (Findings) (2022)
Ivan Kobyzev, Aref Jafari, Mehdi Rezagholizadeh, Tianda Li, Alan Do-Omri, Peng Lu, Ali Ghodsi, Pascal Poupart
Towards Understanding Label Regularization for Fine-tuning Pre-trained Language Models. CoRR (2022)
Heitor R. Guimarães, Arthur Pimentel, Anderson R. Avila, Mehdi Rezagholizadeh, Tiago H. Falk
Improving the Robustness of DistilHuBERT to Unseen Noisy Conditions via Data Augmentation, Curriculum Learning, and Multi-Task Enhancement. CoRR (2022)
Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR (2022)
Peng Lu, Ivan Kobyzev, Mehdi Rezagholizadeh, Ahmad Rashid, Ali Ghodsi, Philippe Langlais
Improving Generalization of Pre-trained Language Models via Stochastic Weight Averaging. CoRR (2022)
Md. Akmal Haidar, Mehdi Rezagholizadeh
Fine-tuning of Pre-trained End-to-end Speech Recognition with Generative Adversarial Networks. CoRR (2021)
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. ACL/IJCNLP (1) (2021)
Peng Lu, Abbas Ghaddar, Ahmad Rashid, Mehdi Rezagholizadeh, Ali Ghodsi, Philippe Langlais
RW-KD: Sample-wise Loss Terms Re-Weighting for Knowledge Distillation. EMNLP (Findings) (2021)
Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
How to Select One Among All? An Extensive Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. CoRR (2021)
Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. CoRR (2021)
David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation. CoRR (2021)
Krtin Kumar, Mehdi Rezagholizadeh, Yiu Sing Lau, Qun Liu
Improving Neural Machine Translation with Compact Word Embedding Tables. CoRR (2021)
Mehdi Rezagholizadeh, Aref Jafari, Puneeth Salad, Pranav Sharma, Ali Saheb Pasand, Ali Ghodsi
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher. CoRR (2021)
Md. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
Transformer-Based ASR Incorporating Time-Reduction Layer and Fine-Tuning with Self-Knowledge Distillation. Interspeech (2021)
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
Annealing Knowledge Distillation. EACL (2021)
Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh
Knowledge Distillation with Noisy Labels for Natural Language Understanding. CoRR (2021)
Tianda Li, Ahmad Rashid, Aref Jafari, Pranav Sharma, Ali Ghodsi, Mehdi Rezagholizadeh
How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding. EMNLP (Findings) (2021)
Marzieh S. Tahaei, Ella Charlaix, Vahid Partovi Nia, Ali Ghodsi, Mehdi Rezagholizadeh
KroneckerBERT: Learning Kronecker Decomposition for Pre-trained Language Models via Knowledge Distillation. CoRR (2021)
Abbas Ghaddar, Philippe Langlais, Ahmad Rashid, Mehdi Rezagholizadeh
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition. Trans. Assoc. Comput. Linguistics 9 (2021)
Ehsan Kamalloo, Mehdi Rezagholizadeh, Peyman Passban, Ali Ghodsi
Not Far Away, Not So Close: Sample Efficient Nearest Neighbour Data Augmentation via MiniMax. ACL/IJCNLP (Findings) (2021)
Abbas Ghaddar, Philippe Langlais, Ahmad Rashid, Mehdi Rezagholizadeh
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition. CoRR (2021)
Md. Akmal Haidar, Nithin Anchuri, Mehdi Rezagholizadeh, Abbas Ghaddar, Philippe Langlais, Pascal Poupart
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation. CoRR (2021)
Yimeng Wu, Mehdi Rezagholizadeh, Abbas Ghaddar, Md. Akmal Haidar, Ali Ghodsi
Universal-KD: Attention-based Output-Grounded Intermediate Layer Knowledge Distillation. EMNLP (1) (2021)
Aref Jafari, Mehdi Rezagholizadeh, Pranav Sharma, Ali Ghodsi
Annealing Knowledge Distillation. CoRR (2021)
Shivendra Bhardwaj, Abbas Ghaddar, Ahmad Rashid, Khalil Bibi, Chengyang Li, Ali Ghodsi, Philippe Langlais, Mehdi Rezagholizadeh
Knowledge Distillation with Noisy Labels for Natural Language Understanding. W-NUT (2021)
Ahmad Rashid, Vasileios Lioutas, Mehdi Rezagholizadeh
MATE-KD: Masked Adversarial TExt, a Companion to Knowledge Distillation. CoRR (2021)
Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. AAAI (2021)
Kira A. Selby, Yinong Wang, Ruizhe Wang, Peyman Passban, Ahmad Rashid, Mehdi Rezagholizadeh, Pascal Poupart
Robust Embeddings Via Distributions. CoRR (2021)
David Alfonso-Hermelo, Ahmad Rashid, Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh
NATURE: Natural Auxiliary Text Utterances for Realistic Spoken Language Evaluation. NeurIPS Datasets and Benchmarks (2021)
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
JABER: Junior Arabic BERt. CoRR (2021)
Md. Akmal Haidar, Mehdi Rezagholizadeh
Fine-Tuning of Pre-Trained End-to-End Speech Recognition with Generative Adversarial Networks. ICASSP (2021)
Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid
End-to-End Self-Debiasing Framework for Robust NLU Training. ACL/IJCNLP (Findings) (2021)
Abbas Ghaddar, Philippe Langlais, Mehdi Rezagholizadeh, Ahmad Rashid
End-to-End Self-Debiasing Framework for Robust NLU Training. CoRR (2021)
Tianda Li, Yassir El Mesbahi, Ivan Kobyzev, Ahmad Rashid, Atif Mahmud, Nithin Anchuri, Habib Hajimolahoseini, Yang Liu, Mehdi Rezagholizadeh
A Short Study on Compressing Decoder-Based Language Models. CoRR (2021)
Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh
Kronecker Decomposition for GPT Compression. CoRR (2021)
Md. Akmal Haidar, Chao Xing, Mehdi Rezagholizadeh
Transformer-based ASR Incorporating Time-reduction Layer and Fine-tuning with Self-Knowledge Distillation. CoRR (2021)
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
Towards Zero-Shot Knowledge Distillation for Natural Language Processing. EMNLP (1) (2021)
Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. EMNLP (1) (2020)
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
From Unsupervised Machine Translation to Adversarial Text Generation. ICASSP (2020)
Gabriele Prato, Ella Charlaix, Mehdi Rezagholizadeh
Fully Quantized Transformer for Machine Translation. EMNLP (Findings) (2020)
Vasileios Lioutas, Ahmad Rashid, Krtin Kumar, Md. Akmal Haidar, Mehdi Rezagholizadeh
Improving Word Embedding Factorization for Compression using Distilled Nonlinear Neural Decomposition. EMNLP (Findings) (2020)
Ahmad Rashid, Vasileios Lioutas, Abbas Ghaddar, Mehdi Rezagholizadeh
Towards Zero-Shot Knowledge Distillation for Natural Language Processing. CoRR (2020)
Peyman Passban, Yimeng Wu, Mehdi Rezagholizadeh, Qun Liu
ALP-KD: Attention-Based Layer Projection for Knowledge Distillation. CoRR (2020)
Yimeng Wu, Peyman Passban, Mehdi Rezagholizadeh, Qun Liu
Why Skip If You Can Combine: A Simple Knowledge Distillation Technique for Intermediate Layers. CoRR (2020)
Ahmad Rashid, Alan Do-Omri, Md. Akmal Haidar, Qun Liu, Mehdi Rezagholizadeh
From Unsupervised Machine Translation To Adversarial Text Generation. CoRR (2020)
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. ACL (1) (2019)
Jules Gagnon-Marchand, Hamed Sadeghi, Md. Akmal Haidar, Mehdi Rezagholizadeh
SALSA-TEXT: Self Attentive Latent Space Based Adversarial Text Generation. Canadian Conference on AI (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mehdi Rezagholizadeh