Detailed Program
The conference takes place at McGill’s Strathcona Anatomy and Dentistry Building, Room M-1.
Google Maps & McGill info
Skip ahead to program for
Graduate Student Symposium: Monday 5 June (morning)
Industry Track: Monday 5 June (afternoon)
Main Conference Day 1: Tuesday 6 June
Main Conference Day 2: Wednesday, 7 June
Main Conference Day 3: Thursday, 8 June
Responsible AI Track Day 1: Thursday, 8 June
Responsible AI Track Day 2: Friday, 9 June
⬇️ Download a PDF version of the program.
Monday, 5 June, Graduate Student Symposium (AM) & Industry Track (PM)
Graduate Student Symposium
08:45–09:00: Coffee on arrival, registration
09:00–09:05: Welcome
09:05–09:35: Keynote Talk: Marwa El Halabi
09:35–10:10: Spotlight Talks
09:35–09:42 Spotlight Talk: Exploring the Impact of Representation on Agent Learning
09:42–09:49 Spotlight Talk: Graph learning with programmatic weak supervision
09:49–09:56 Spotlight Talk: A Communication-Efficient Protocol for Federated Learning in Energy Storage Systems
09:56–10:03 Spotlight Talk: Counterfactual Explanations for Rankings
09:03–10:10 Spotlight Talk: A Comprehensive Framework for the Development of Ethical Machine Learning in Medicine
10:10–10:30: Poster Session
From Development to Dissemination: Social and Ethical Issues with Text-to-Image AI-Generated Art
An Explainable Deep Few-shot Network for Protein Family Classification
When does Continuous Learning for BERT make sense?
Better Bridges Between Model and Real World
Effective Tensor Product-Based Low-Rank Tensor Recovery and Its Non-convex Optimization Framework
InDeSTra – system for interior design style transfer
Heuristic Restart Methods for Optimal Surgery Scheduling
Machine Learning for Hotel Booking Cancellations Prediction
Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning
10:30–10:45: Morning Coffee
10:45–11:10: Spotlight Talks
10:45–10:52 Spotlight Talk: Ashkan Ebadi Prediction of Sustaining Emerging Technology Terms Using Burst Detection and Deep Learning
10:52–10:59 Spotlight Talk: Ruixin Song Network Analysis and Vessel Flow Prediction for Risk Assessment of Biological Invasion of Non-indigenous Aquatic Species
10:59–11:06 Spotlight Talk: Sazia Mahfuz An Empirical Analysis on Pattern Reconstruction for Storage Reduction of Wearable Sensor Data
11:10–11:40: Keynote Talk: Adriana Romero Soriano
11:40–12:00: Panel discussion on Academia and Industry: Adriana Romero Soriano & Marwa El Halabi & AJung Moon
12:00–13:00: Lunch
Industry Track
13:05–13:30: Keynote Talk by David Beach
13:35–14:00: Spotlight Talk, Towards determining the criticality of AI applications: A model risk management perspective
Bahar Sateli, Fernanda Del Castillo and Rod Moshtagi
Bahar Sateli, Fernanda Del Castillo and Rod Moshtagi
14:05–14:30: Spotlight Talk, Human + AI: How to unlock critical industrial applications
Avishek Paul, Yimeng Gao and Ary Bressane
Avishek Paul, Yimeng Gao and Ary Bressane
14:35–15:00: Spotlight Talk, Anomaly Detection and Explanation of Wind Turbine Main Bearings using Autoencoder and Bayesian Network Models
Ahmed Mabrouk
Ahmed Mabrouk
15:20–15:25: Poster Session: Elevator Pitches
15:30–16:00: Poster Session
Development of a Machine Learning Based Low-Cost Real Time Non-Contact Health Monitoring System for Rotary Machinery
Towards an Automated Framework of Root Cause Analysis in the Canadian Telecom Industry
Fuzzy Logic-Based Neural Networks in Finance: Knowledge Discovery and Explainability
16:05–17:00: Panel discussion on Critical AI in Industry
Tuesday, 6 June, Main conference
09:00–09:05: Opening Remarks
09:05–10:30: Keynote by Jimmy Lin
10:30–10:45: Coffee
10:45–12:00: Long paper session 1 (AI-L1) (NN-1)
Chair: Shaimaa Ali (University of Western Ontario)
10:45–11:10 Improved Techniques for Training Tabular GANs Using Cramer’s V Statistics
11:10–11:35 PAC-Bayesian Learning of Aggregated Binary Activated Neural Networks with Probabilities over Representations
11:35–12:00 Upward Pass Semantics in Arithmetic Circuit Inference
12:00–13:00: Lunch
13:00–14:15: Long paper session 2 (AI-L2) (APP-1)
Chair: Paula Branco (University of Ottawa)
13:00–13:25 Supervised recommendations of gas metal arc welding parameters
13:25–13:50 Optimizing DNNs Model Partitioning for Enhanced Performance on Edge Devices
13:50–14:15 Target-learning the latent space of a variational autoencoder model for the inverse design of stable perovskites
14:15–15:00: Long paper session 3 (AI-L3) (NLP-1)
Chair: Steve Drew (University of Calgary)
14:15–14:38 ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
14:38–15:00 Don't Worry Accountants, ChatGPT Won't Be Taking Your Job...Yet
15:00–15:15: Coffee
15:15–16:00: Long paper session 4 (AI-L4) (CL-RL-1)
Chair: Robert Mercer (University of Western Ontario)
15:15–15:38 Mimicking Electronic Gaming Machine Player Behavior using Reinforcement Learning
15:38–16:00 Elucidating Transition State Behaviour from Mobility Data by Cascades of Markov Chains
16:00–17:00: Long paper session 5 (AI-L5) (SEC-1)
Chair: Francis Palma (University of New Brunswick)
16:00–16:20 Detecting Malicious .NET Files Using CLR Header Features and Machine Learning
16:20–16:40 TAVo: Tor Application detection with Voting critic
16:40–17:00 An Empirical Study on Vagueness Detection in Privacy Policy Texts
Wednesday, 7 June, Main Conference
09:00–09:05: Opening Remarks
09:05–10:30: Keynote by Alona Fyshe
10:30–10:45: Coffee
10:45–12:00: Long paper session 6 (AI-L6)
Chair: Amilcar Soares (Memorial University of Newfoundland)
10:45–11:10 MultiStream EvolveCluster
11:10–11:35 Exploring Preferential Label Smoothing for Neural Network-based Classifiers
11:35–12:00 RISC: Generating Realistic Synthetic Bilingual Insurance Contract
12:00–13:00: Lunch
13:00–14:15: Panel discussion
Future of AI: Trends, Challenges and Prospects
14:15–15:00: Short paper session 1 (A1 - S1)
Chair: Farhana Zulkernine (Queen’s University)
Navitas/Optimus: A Novel Computational Tool for enhanced CRISPR/Cas Genome Editing
Identifying the Factors Influencing IPO Underpricing using Explainable Machine Learning Techniques
Unsupervised Financial Fraud Detection Using Low-rank Recovery
Joint Trust for Belief Revision
Machine learning for the prediction of safe and biologically active organophosphorus molecules
Parameter-Efficient Methods for Metastases Detection from Clinical Notes
I3D Light - A Simple Motion Information Stream for I3D
Stock Market Prediction from Sentiment and Financial Stock Data Using Machine Learning
IsoGloVe: A New Count-based Graph Embedding Method based on Geodesic Distance
Meta-GCN: A Dynamically Weighted Loss Minimization Method for Dealing with the Data Imbalance in Graph Neural Networks
15:00–15:15: Coffee
15:15–17:00: Short paper poster presentation 1 (AI-SP1) Posters
18:00–22:00: Banquet, held at Delta Hotels by Marriott Montreal.
Thursday, 8 June, Main conference
09:00–09:05: Opening Remarks
09:05–10:30: Awards Talk (Lifetime Achievement & Distinguished Service Awards, Best thesis & best dissertation)
Best MSc Thesis: Non-Autoregressive Unsupervised Summarization with Length-Control Algorithms
Best PhD Thesis: Multi-Agent Reinforcement Learning in Large Complex Environments
Lifetime Achievement Award, Dr. Richard Zemel
10:30–10:45: Coffee
10:45–12:00: Long paper session 7 (AI-7) (HCG-1)
Chair: Samira Sadaoui (University of Regina)
10:45–11:10 GUILGET: GUI Layout GEneration with Transformer
11:10–11:35 Looking the Part: The AI Zombie Problem and the Anti-Turing Test
11:35–12:00 Improving Software Requirements Prioritization through the Lens of Constraint Satisfaction
12:00–13:00: Lunch
13:00–14:10: Long paper session 8 (AI-L8) (CV-1)
Chair: Vlado Keselj (Dalhousie University)
13:00–13:25 Adaptive Kernel by Layer-wise Convolution
13:25–13:48 Quantifying Path Smoothness in Video Object Tracking by Detection
13:48–14:10 Liver Segmentation in Ultrasound Images Using Self-Supervised Learning with Physics-inspired Augmentation and Global-Local Refinement
14:10–15:00: Long paper session 9 (AI-L9)(NLP-2)
Chair: Amine Trabelsi (Université de Sherbrooke)
14:10–14:35 Radar de Parité: An NLP system to measure gender representation in French news stories
14:35–15:00 Multihop Factual Claim Verification Using Natural Language Prompts
15:00–15:15: Coffee
15:15–16:00: Long paper session 10 (AI-L10) (NLP-3)
Chair: Osmar Zaiane (University of Alberta)
15:15–15:30 Towards improving text classification tasks based on knowledge graphs for limited labeled data
15:30–15:45 Personality Trait Detection using an Hierarchy of Tree-transformers and Graph Attention Network
15:45–16:00 Few shot learning approaches to essay scoring
16:00–16:10: Q/A SESSION
16:10–16:55: Long paper session 11 (AI-L11) (REP-1)
Chair: Malek Mouhoub (University of Regina)
16:10–16:25 Guided Learning of Human Sensor Models with Low-Level Grounding
16:25–16:40 PCA-Enhanced Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes
16:40–16:55 Learning to Recognize Reachable States from Visual Domains
Thursday, 8 June, Responsible AI
Additional details on the track's page
09:00–09:05: Opening Remarks
09:05–10:30: Meet and Greet
10:30–10:45: Coffee and feature talks
10:45–11:45: Keynote by Emily Denton
11:45–12:15: Student Posters Presentation
12:00–13:00: Lunch
13:00–14:05: Two Talks: Allison Marchildon and Natalie Mayerhofer
14:05–15:00: Two Talks: Nathalie de Marcellis-Warin and Samira Abbasgholizadeh-Rahimi
15:00–15:15: Coffee
15:15–17:00: Students' "3-minute thesis"
Friday, 9 June, Responsible AI - Room M-1
Additional details on the track's page
09:00–09:05: Opening Remarks
09:05–09:45: Talk: Benjamin Fung
09:45–10:30: Talk: Jacob Jaremko
10:30–10:45: Coffee
10:45–12:00: Responsible AI Panel (Valentine Goddard, Alexander Scott, Gagan Gill, Sasha Luccioni, Allison Cohen, Richard Khoury)
12:00–13:00: Lunch
13:00–15:00: Tutorial: Privacy as hypothesis testing: linking Differential Privacy, membership attacks, and privacy audits
15:00–15:15: Coffee
15:15–16:00: Tutorial (continued) - Privacy as hypothesis testing: linking Differential Privacy, membership attacks, and privacy audits
