Deployable AI (DAI)
Workshop at AAAI 2024
Workshop at AAAI 2024
Tentative Schedule
Tentative Schedule
Monday 26 February 2024
9:00 am to 9:05 am Opening Remarks (5 mins)
9:05 am to 9:40 am Invited Speaker 1: Sunipa Dev, Research Scientist, Google Research
9:40 am to 10:25 am Oral Presentations Session-1
10:25 am to 10:35 am Spotlight Presentation Session-1
10:35 am to 11:00 am Break and Poster Session-1
11:00 am to 11:30 am Oral Presentations Session-2
11:30 am to 12:05 pm Invited Speaker 2: Srijan Kumar, Assistant Professor, College of Computing at Georgia Institute of Technology
12:05 pm to 1:45 pm Lunch Break
1:45 pm to 2:20 pm Invited Speaker 3: Pranesh Srinivasan, Senior Engineer Google
2:20 pm to 2:55 pm Invited Speaker 4: Xiaoxiao LI, Assistant Professor, University of British Columbia
2:55 pm to 3:25 pm Oral Presentations Session-3
3:25 pm to 3:35 pm Spotlight Presentations Session-2
3:35 pm to 4:00 pm Break and Poster Session-2
4:00 pm to 4:45 pm Oral Presentations Session-4
4:45 pm to 4:55 pm Spotlight Presentations Session-3
4:55 pm to 5:00 pm Closing Remarks
Tentative Detailed Schedule
For Invited Speakers, We will have 30 mins of Presentation and 5 mins of Q&A
Oral Presentations Session-1 (12 mins+3 mins (Q&A)) 9:40 am to 10:25 am
9:40 am to 9:55 am Unraveling the Temporal Dynamics of the Unet in Diffusion Models
09:55 am to 10:10 am MABViT - Modified Attention Block Enhances Vision Transformers
10:10 am to 10:25 am Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models
Spotlight Presentations Session-1 (2 mins each) 10:25 am to 10:35 am
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation
Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection
Credibility-aware Reliable Multi-Modal Fusion Using Probabilistic Circuits
EEE-QA: Exploring Effective and Efficient Question-Answer Representations
Reprogramming Foundational LLMs for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning
Oral Presentations Session-2: 11:00 am to 11:30 am
11:00 am to 11:15 am Closing the Gap in the Trade-off between Fair Representations and Accuracy
11:15 am to 11:30 am Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience
Poster Session-1 10:35 am to 11:00 am
All the papers scheduled to be presented in the morning session (Oral/Spotlight) will have a poster session during this session.
Oral Presentations Session-3 (12 mins+3 mins (Q&A)) 2:45 pm to 3:15 pm
2:40 pm to 3:00 pm MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation
3:00 pm to 3:15 pm Deployable Reinforcement Learning with Variable Control Rate
Spotlight Presentations Session-2 (2 mins each) 3:15 pm to 3:35 pm
vPALs: Towards Verified Performance-aware Learning System For Resource Management
Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices
Composing Efficient, Robust Tests for Policy Selection
Uncertainty-aware Language Modeling for Selective Question Answering
Large Language Model Inference with Lexical Shortlisting
Oral Presentations Session-4 (12 mins + 3mins (Q&A)) 4:00 pm to 4:45 pm
2:00 pm to 2:15 pm Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning
2:15 pm to 2:30 pm Half-Space Feature Learning in Neural Networks
2:30 pm to 2:45 pm Advancing Ante Hoc Explainable Models through Generative Adversarial Networks
Spotlight Presentations Session-3 (2 mins each) 4:45 pm to 4:55 pm
Learning Credal Conditional Probability Tables with Qualitative Knowledge
Maintaining User Trust Through Multistage Uncertainty Aware Inference
Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation
REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes
Using Concept Embeddings to Understand Neural Net Training
Poster Session-2 3:35 pm to 4:00 pm
All the papers scheduled to be presented in the afternoon session (Oral/Spotlight) will have a poster session during this session.