Deployable AI (DAI)

List of Accepted Papers at the Workshop 

Oral Presentations

1.            13   Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience  

2.           15 Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models  

3.        17   Advancing Ante Hoc Explainable Models through Generative Adversarial Networks

4.          20 Unraveling the Temporal Dynamics of the Unet in Diffusion Models 

5.          26  Directed Structural Adaptation to Overcome Statistical Conflicts and Enable Continual Learning

6.          27 Deployable Reinforcement Learning with Variable Control Rate

7.         28 MABViT - Modified Attention Block Enhances Vision Transformers        

8.         32 MVSA-Net: Multi-View State-Action Recognition for Robust and Deployable Trajectory Generation

9.         34  Closing the Gap in the Trade-off between Fair Representations and Accuracy

10.         35   Half-Space Feature Learning in Neural Networks

Spotlight Presentations 

1.          13   Elevating Defenses: Bridging Adversarial Training and Watermarking for Model Resilience

2.           7  Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation

3.           9 Towards Reliable AI Model Deployments: Multiple Input Mixup for Out-of-Distribution Detection

4.          11 Large Language Model Inference with Lexical Shortlisting

5.          12 EEE-QA: Exploring Effective and Efficient Question-Answer Representations

6.          16 Reprogramming Foundational LLMs for Enterprise Adoption for Spatio-Temporal Forecasting Applications: Unveiling a New Era in Copilot-Guided Cross-Modal Time Series Representation Learning

7.          18 REVAMP: Automated Simulations of Adversarial Attacks on Arbitrary Objects in Realistic Scenes

8.          19 Using Concept Embeddings to Understand Neural Net Training 23 Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices  

9.           22 vPALs: Towards Verified Performance-aware Learning System For Resource Management

10.           25 Composing Efficient, Robust Tests for Policy Selection

11.          29 Uncertainty-aware Language Modeling for Selective Question Answering

12.          30 Credibility-aware Reliable Multi-Modal Fusion Using Probabilistic Circuits

13.          31 Learning Credal Conditional Probability Tables with Qualitative Knowledge

14.          36 Maintaining User Trust Through Multistage Uncertainty Aware Inference

15.          38 Plug and Play with Prompts: A Prompt Tuning Approach for Controlling Text Generation

Poster Session

All the papers scheduled for Oral/Spotlight presentation will have a poster session during the workshop.