Conference Papers

Why exposure bias matters: An imitation learning perspective of error accumulation in language generation. Kushal Arora, Layla El Asri, Hareesh Bahuleyan, Jackie Chi Kit Cheung. In Proc. of Findings of ACL 2022.

Slaps: Self-supervision improves structure learning for graph neural networks. Bahare Fatemi, Layla El Asri, Seyed Mehran Kazemi. In Proc. of NeurIPS, 2021.

Diverse keyphrase generation with neural unlikelihood training. Hareesh Bahuleyan, Layla El Asri. In Proc. of COLING 2020.

Tell, Draw, and Repeat: Generating and modifying images based on continual linguistic instruction. Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor. In Proc. of ICCV, 2019.

Frames: A Corpus for Adding Memory to Goal-Oriented Dialogue Systems. Layla El Asri, Hannes Schulz, Shikhar Sharma, Jeremie Zumer, Justin Harris, Emery Fine, Rahul Mehrotra, Kaheer Suleman. In Proc. of SIGDIAL, 2017.

Score-based inverse reinforcement learning. Layla El Asri, Bilal Piot, Mathieu Geist, Romain Laroche, and Olivier Pietquin. In Proc. of AAMAS, 2016. 

A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems. Layla El Asri, Jing He, and Kaheer Suleman. In Proc. of Interspeech, 2016.

Policy Networks with Two-Stage Training for Dialogue Systems. Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, and Kaheer Suleman. In Proc. of SIGDIAL, 2016.

Ordinal Regression for Interaction Quality Prediction. Layla El Asri, Hatim Khouzaimi, Romain Laroche, and Olivier Pietquin. In Proc. of ICASSP, 2014. 

DINASTI: Dialogues with a Negotiating Appointment Setting Interface. Layla El Asri, Romain Laroche, and Olivier Pietquin. In Proc. of LREC, 2014. 

NASTIA: Negotiating Appointment Setting Interface. Layla El Asri, Rémi Lemonnier, Romain Laroche, Olivier Pietquin, and Hatim Khouzaimi. In Proc. of LREC, 2014. 

Reward shaping for statistical optimisation of dialogue management. Layla El Asri, Romain Laroche, and Olivier Pietquin. In Proc. of SLSP, 2013. 

Preprints

De-aliasing States in Dialogue Modelling with Inverse Reinforcement Learning. Layla El Asri, Adam Trischler and Geoff Gordon. 2019.

Workshop Papers

A Study of State Aliasing in Structured Prediction with RNNs. Layla El Asri and Adam Trischler. Deep Reinforcement Learning Meets Structured Prediction, ICLR, 2019, and Representation Learning for NLP, ACL, 2019.

Keep Drawing It: Iterative language-based image generation and editing. Alaaeldin El-Nouby, Shikhar Sharma, Hannes Schulz, Devon Hjelm, Layla El Asri, Samira Ebrahimi Kahou, Yoshua Bengio, Graham W. Taylor. Visually Grounded Interaction and Language, NeurIPS, 2018.

Conference ticket allocation via non-uniform random selection to address systemic biases. Jessica Thompson, Laurent Dinh, Layla El Asri, Nicolas Le Roux. Critiquing and Correcting Trends in Machine Learning, NeurIPS, 2018. (the link to the paper will be added soon)

Towards Solving Text-based Games by Producing Adaptive Action Spaces. David (Ruo Yu) Tao, Marc-Alexandre Côté, Xingdi Yuan, Layla El Asri. Wordplay: Reinforcement and Language Learning in Text-based Games, NeurIPS, 2018.

TextWorld: A Learning Environment for Text-based Games. Marc-Alexandre Côté, Ákos Kádár, Xingdi Yuan, Ben Kybartas, Tavian Barnes, Emery Fine, James Moore, Matthew Hausknecht, Layla El Asri, Mahmoud Adada, Wendy Tay, Adam Trischler. Computer Games Workshop, ICML/IJCAI, 2018.

A Frame Tracking Model for Memory-Enhanced Dialogue Systems. Hannes Schulz, Jeremie Zumer, Layla El Asri, Shikhar Sharma. Repl4NLP, ACL, 2017.

Compact and interpretable dialogue state representation with genetic sparse distributed memory. Layla El Asri, Romain Laroche, and Olivier Pietquin. IWSDS, 2016.

Task completion transfer learning for reward inference. Layla El Asri, Romain Laroche, and Olivier Pietquin. MLIS, AAAI, 2014.

Reward function learning for dialogue management. Layla El Asri, Romain Laroche, and Olivier Pietquin. STAIRS, EACL, 2012.

Service

2020: reviewer for ACL, EMNLP, AACL

2019: reviewer for AAAI, NAACL, IJCAI, ACL

since 2019: member of the advisory board of the Montreal AI Symposium

2018: senior program chair for the Montreal AI Symposium

2018: reviewer for NAACL (made it to the list of outstanding reviewers!), ACL, IJCAI, EMNLP, and EWRL

2016: organizing and program committees of the Future of Interactive Learning Machines workshop @NeurIPS

2013 - 2016: sub-reviewer for SIGDIAL, ACL, SLT,...

2013: local chair for YRRSDS

2013: student volunteer for SIGDIAL