All Talks
No.24-09 Human-Computer Conversational Vision-and-Language Navigation
The dynamic realm of Vision-and-Language Navigation (VLN) has garnered significant multidisciplinary interest, resonating within the domains of computer vision, natural language proce...
From University of Adelaide, Oct 08, 2024
No.24-11 Graph Foundation Model in the Era of LLMs
Graph data structures play a crucial role in real life, effectively illustrating the complex relationships and structural dependencies between entities. In recent years, the generaliz...
From University of Hong Kong, Oct 16, 2024
No.24-08 Towards Graph Foundation Model
Graph Foundation Models (GFMs) is a single (neural) model that learns transferable graph representations that can generalize to any new, previously unseen graph. In this talk, we will...
From Michigan State University, Sep 11, 2024
No.24-07 Embracing Changes in Deep Learning: Continual Learning with Augmented and Modularized Memory
Deep learning (DL) has been successful in many applications. However, the conventional DL approaches focus on the end results on fixed datasets/scenarios and fail to handle the dynami...
From The University of New South Wales, Jun 11, 2024
No.24-05 Efficient and Elastic Large Models
Generative LLMs are transforming multiple industries and have proven to be robust for multitude of use cases across industries and settings. One of the key impediments to their widesp...
From Google Research India, May 17, 2024
No.24-06 Generative Sequential Recommendation
In this talk, we first introduce the Sequential Recommendation problem and draw parallels between language modelling and recommender systems. To set the stage, we also briefly cover s...
From University of Glasgow, May 22, 2024
No.24-04 Deep Copula-Based Survival Analysis for Dependent Censoring
Censoring is the central problem in survival analysis where either the time-to-event (for instance, death) or the time-to-censoring (such as loss of follow-up) is observed for each sa...
From University of Newcastle, Apr 24, 2024
No.24-03 Towards Open-World Object Segmentation and Detection
Segmentation and detection are two fundamental and classical tasks in computer vision. In recent years, significant attention has been devoted to the open-vocabulary object segmentati...
From Monash University, Apr 10, 2024
No.24-02 Building AI/ML & Gen AI responsibly on AWS
This presentation explores best practices for building AI/ML and generative AI (Gen AI) models responsibly on AWS. We’ll explore real use cases where these technologies are driving va...
From Amazon, Mar 13, 2024
No.24-01 Filter Bubble in Recommender System: Diversity and Beyond
Recommender system has reshaped how we access information in today’s world, make relevant content more accessible to everyone. However, it has also resulted in some negative side-effe...
From Tsinghua University, Mar 07, 2024