Program
Program at a Glance
The following is a Google Calendar for the events of the main conference. You can consult the proceedings of the conference on PubPub 
. The program schedule for Responsible AI is here.
The timezone is indicated by Google in the lower left corner of the calendar. Click on individual events for more details. Click on the tab 'Agenda' for a list of events. You can add the whole calendar to your agenda by using the button in the lower right corner.
Most events take place at Rozanski Hall (Google Maps), in Room 101.
Details on presentations and posters
For session chairs
- Arrive at the presentation venue at least 10 minutes prior to its start.
- Identify all the speakers and remind them of the duration of their presentation.
- There will be a presentation computer that speakers can load their slides on, if convenient.
- Briefly introduce each speaker, ensure they are on time, and moderate the audience questions
For presenters
- Long Papers: 20 minutes total, with a 15-minute presentation and a 5-minute Q&A session.
- Short Papers: 10 minutes total, featuring a 7-minute presentation and a 3-minute Q&A session.
- Graduate Student Symposium (GSS): 15 minutes total, including a 10-minute presentation and a 5-minute Q&A session.
- Award Presentations (PhD/MSc): 30 minutes total, with a 20-minute presentation and a 10-minute Q&A session.
For poster presenters
- Poster Board Dimensions: Approximately 1.5 m x 1.2 m (5 ft x 4 ft).
- Poster Size: A1 size, measuring 594 x 841 mm, (23.4 x 33.1 inches). You can choose either landscape or portrait orientation.
Detailed Program
Most events take place at Rozanski Hall (Google Maps), in Room 101.
You can consult the proceedings of the conference on PubPub .
Tuesday, 28 May 2024
9:00 — 9:30 Welcome Remarks
9:30 — 10:30 Keynote Talk: J. Ross Mitchell
"AI and Precision Health"
11:00 — 12:30 Session 1 (90 min)
Chair: Yongyi Mao (Ottawa)
An Attention-Based Parallel Hybrid Prediction Model for Intersection Level Turning Movement Forecasting
Best student paperTowards a Definition of Primary Cause in Hybrid Dynamic Domains
Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
Explainable Prompt-based Approaches for Sentiment Analysis of Movie Reviews
Generative Adversarial Network: Use of Non-IID Samples
Uncertainty in Neural Processes
14:00 — 15:00 Session 2 (60 min)
Chair: Bailey Kacsmar (Alberta)
Large Language Models are Incoherent Storytellers
The Use of Human Evaluators in Emotion Text-Detection
BioScan-CLIP: Contrastive Learning for Aligning Biological Images and DNA Sequences
15:30 — 17:00 Session 3 (90 min)
Chair: Letitia Golubitsky (Scotia Bank)
Consolidation using Multiple Task Learning with Context Inputs and Replay of CVAE Generated Pseudo-Examples
Automated Debugging of Deep Text Classifiers
SuperiorLoss: An Intuitive Loss Function for Robust Curriculum Learning
Dynamic programming with incomplete information to overcome navigational uncertainty in POMDPs
SoftSkillQG: Robust Skill-Targeted Reading Comprehension Question Generation Using Soft-prompts
17:00 — 18:00 CAIAC Annual General Meeting, more info here (login first).
19:00 — 21:00 Reception
Wednesday, 29 May 2024
9:00 — 9:30 MSc. Award Talk
Towards Adaptive Deep Model-Based Reinforcement Learning
9:30 — 10:30 Responsible AI Keynote Talk
Ishtiaque Ahmed and Shion Guha, more info.
11:00 — 12:30 Session 4 (90 min)
Chair: Kalonji Kalala (Ottawa)
Adaptive Learning Rates for Gradient Boosting Machines
Same File Prediction: A New Pretraining Objective for BERT-like Transformers
DRNet: A Decision-Making Method for Autonomous Lane Changing with Deep Reinforcement Learning
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment
Triple-Aware Reasoning: A Retrieval-Augmented Generation Approach for Enhancing Question and Answer Tasks with Knowledge Graphs and Language Models
14:00 — 15:00 Session 5 (60 min)
Chair: Shengrui Wang (Sherbrooke)
Advanced Deep Regression Models for Oil Production Forecast
Automated offense Prioritization for SIEM using Probabilistic Machine Learning Models
Evaluating gender bias in Wikipedia using document embeddings
15:30 — 17:00 Session 6 (90 min)
Chairs: Richard Khoury (Laval) and Ritu Chaturvedi (Guelph)
BankGAN: a Generative Model for Synthetic Financial Transactions
Generative AI for Enhancing Active Learning in Education: A Comparative Study of GPT-3.5 and GPT-4 in Crafting Customized Test Questions
CanAL: a Canadian Appeal Law Legal Language Model for Legal Judgment Prediction
Alcohol Use Estimators within the Canadian Population using Deep Learning on Social Media Data
GPU Job Scheduler with Deep Reinforcement Learning
17:30 — 20:00 Poster Session & Industry Track
Thursday, 30 May 2024
9:00 — 9:30 Ph.D Award Talk
Fair and Efficient Social Decision Making
9:30 — 10:30 Keynote Talk: Kate Larson
"Cooperative AI"
11:00 — 12:30 Session 7 (90 min)
Chair:Jeff Orchard (Waterloo)
Want To Choose Your Own Adventure? Then First Make a Plan
Experimental Analysis of Large Language Models in Crime Prediction
Advancing NHL Analytics through Explainable AI
Multi-modal News Understanding with Professionally Labelled Videos (ReutersViLNews)
Progressively Growing Generative Adversarial Network Based Auto-encoder for MRI Image Inpainting
14:00 — 15:00 Session 8 (60 min)
Chair: Diana Inkpen (Ottawa)
Best paperRobust Reinforcement Learning for Linear Temporal Logic Specifications with Finite Trajectory Durations
Toward a Model of Associative Memory via Predictive Coding
Instruction Tuning of LLMs for Multi-label Emotion Classification in Social Media Content
15:30 — 17:00 Session 9 (90 min)
Chair: Paula Branco (Ottawa)
Conversation Alignment for Task-Oriented Dialogue Agents
Automatic Reduction of Execution Trace Data Volume Using Gradient Boosting in Large-Scale Microservice Systems
SIEM+: Harnessing Machine Learning for Advanced Anomaly Detection in Cybersecurity Software
To Label or to Pseudo Label? Active Learning vs Semi-Supervised Learning for Windows Malware Prediction
Genetic Algorithm and Loading Strategy for the Dynamic Vehicle Routing Problem with Simultaneous Pickup and Delivery
18:00 — 21:00 Banquet
Friday, 31 May 2024
09:00 — 10:30 Session 10 (90 min)
Chair: Leila Kosseim (Concordia)
Humans Don't Get Fooled: Does Predictive Coding Defend Against Adversarial Attack?
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data
Rumour Evaluation with Very Large Language Models
Deep Hedging with Market Impact
Stochastic Grouping and Subspace-Based Initialization in Decomposition and Merging Cooperative Particle Swarm Optimization for Large-Scale Optimization Problems
11:00 — 12:30 Session 11 (90 min)
Chair: Sazia Mahfuz (Acadia)
TransformerChrome: Transformer-based Model for Prediction of Gene Expression from Histone Modifications
Edge-DIRECT: A Deep Reinforcement Learning-based Method for Solving Heterogeneous Electric Vehicle Routing Problem with Time Window Constraints
Liquid Ensemble Selection for Continual Learning
Interpreting time series forecasting models using model class reliance
SemiS-VFL: A Semi-Supervised Machine Learning Framework for Vertical Federated Learning
14:00 — 15:00 Session 12 (60 min)
Chair: Yalda Mohsenzadeh (Western)
Diminishing Simplicity Bias using GAN Generated Unbiased Augmentations
Guided AbsoluteGrad: Magnitude of Gradients Matters to Explanation's Localization and Saliency
GCE: Confidence Calibration Error for Improved Trustworthiness of Graph Neural Networks
