Learning Distributed Representations from Reviews for Collaborative Filtering. - Amjad Almahairi; Kyle Kastner; Kyunghyun Cho; Aaron C. Courville (RecSys, 2015)

Dynamic Capacity Networks. - Amjad Almahairi; Nicolas Ballas; Tim Cooijmans; Yin Zheng; Hugo Larochelle; Aaron C. Courville (ICML, 2016)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

First Result on Arabic Neural Machine Translation. - Amjad Almahairi; Kyunghyun Cho; Nizar Habash; Aaron C. Courville (CoRR, 2016)

Calibrating Energy-based Generative Adversarial Networks. - Zihang Dai; Amjad Almahairi; Philip Bachman; Eduard H. Hovy; Aaron C. Courville (ICLR (Poster), 2017)

Augmented CycleGAN: Learning Many-to-Many Mappings from Unpaired Data. - Amjad Almahairi; Sai Rajeswar; Alessandro Sordoni; Philip Bachman; Aaron C. Courville (ICML, 2018)

The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation. - Mai Oudah; Amjad Almahairi; Nizar Habash (MTSummit (1), 2019)

Adversarial Computation of Optimal Transport Maps. - Jacob Leygonie; Jennifer She; Amjad Almahairi; Sai Rajeswar; Aaron C. Courville (CoRR, 2019)

A Closer Look at the Optimization Landscapes of Generative Adversarial Networks. - Hugo Berard; Gauthier Gidel; Amjad Almahairi; Pascal Vincent; Simon Lacoste-Julien (ICLR, 2020)

Unsupervised Learning of Dense Visual Representations. - Pedro O. Pinheiro; Amjad Almahairi; Ryan Y. Benmalek; Florian Golemo; Aaron C. Courville (NeurIPS, 2020)

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning. - Yuning Mao; Lambert Mathias; Rui Hou; Amjad Almahairi; Hao Ma 001; Jiawei Han 001; Scott Yih; Madian Khabsa (ACL (1), 2022)

Uniform Masking Prevails in Vision-Language Pretraining. - Siddharth Verma; Yuchen Lu; Rui Hou; Hanchao Yu; Nicolas Ballas; Madian Khabsa; Amjad Almahairi (CoRR, 2022)

Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI. - Suzanna Sia; Anton Belyy; Amjad Almahairi; Madian Khabsa; Luke Zettlemoyer; Lambert Mathias (AAAI, 2023)

Residual Prompt Tuning: improving prompt tuning with residual reparameterization. - Anastasia Razdaibiedina; Yuning Mao; Madian Khabsa; Mike Lewis; Rui Hou; Jimmy Ba; Amjad Almahairi (ACL (Findings), 2023)

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix. - Kuan-Hao Huang; Liang Tan; Rui Hou; Sinong Wang; Amjad Almahairi; Ruty Rinott (EMNLP (Findings), 2023)

Progressive Prompts: Continual Learning for Language Models. - Anastasia Razdaibiedina; Yuning Mao; Rui Hou; Madian Khabsa; Mike Lewis; Amjad Almahairi (ICLR, 2023)

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes. - Kuan-Hao Huang; Liang Tan; Rui Hou; Sinong Wang; Amjad Almahairi; Ruty Rinott (CoRR, 2023)

Llama 2: Open Foundation and Fine-Tuned Chat Models. - Hugo Touvron; Louis Martin; Kevin Stone; Peter Albert; Amjad Almahairi; Yasmine Babaei; Nikolay Bashlykov; Soumya Batra; Prajjwal Bhargava; Shruti Bhosale; Dan Bikel; Lukas Blecher; et al. (CoRR, 2023)

Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Model. - Shraman Pramanick; Guangxing Han; Rui Hou; Sayan Nag; Ser-Nam Lim; Nicolas Ballas; Qifan Wang 001; Rama Chellappa; Amjad Almahairi (CVPR, 2024)

RouteLLM: Learning to Route LLMs with Preference Data. - Isaac Ong; Amjad Almahairi; Vincent Wu; Wei-Lin Chiang; Tianhao Wu 002; Joseph E. Gonzalez; M. Waleed Kadous; Ion Stoica (CoRR, 2024)

RouteLLM: Learning to Route LLMs from Preference Data. - Isaac Ong; Amjad Almahairi; Vincent Wu; Wei-Lin Chiang; Tianhao Wu 002; Joseph E. Gonzalez; M. Waleed Kadous; Ion Stoica (ICLR, 2025)