All Talks
No.23-13 Task-aware Retrieval with Instructions
We study the problem of retrieval with instructions, where users of a retrieval system explicitly describe their intent along with their queries. We aim to develop a general-purpose t...
From University of Washington, Aug 02, 2023
No.23-12 An Introduction to Sequential/Session-based Recommendation
In recent years, sequential/session-based recommendations have emerged as a new recommendation paradigm to well model users’ dynamic and short-term preferences for more accurate and t...
From University of Technology Sydney, May 17, 2023
No.23-11 Building Experiment Tracking at Scale with Weights & Biases
Building experiments doesn’t just end once the model is deployed. Teams need to monitor their models in production and use their findings to iterate further. Especially when dealing w...
From Weights & Biases, May 10, 2023
No.23-10 SEINE: SEgment-based Indexing for NEural Information Retrieval
Many early neural Information Retrieval (NeurIR) methods are re-rankers that rely on a traditional first-stage retriever due to expensive query time computations. Recently, representa...
From Georgetown University, May 03, 2023
No.23-09 Mobility Digital Twin for Connected and Automated Vehicles
A Digital Twin is a digital replica of a living or nonliving physical entity, and this emerging technology attracted extensive attention from different industries during the past deca...
From Purdue University, Apr 26, 2023
No.23-05 A magic ingredient, a secret spice, a special blend, for it can all be nice!' The Human Quotient for Better AI Systems
The unprecedented rise in the adoption of artificial intelligence techniques and automation in many contexts is concomitant with the shortcomings of such technology concerning robustn...
From Delft University of Technology, Mar 22, 2023
No.23-04 Multi-Domain Few-Shot Image Classification
Most existing few-shot classification methods only consider generalization on one dataset (i.e., single-domain), failing to transfer across various seen and unseen domains. In this ta...
From Australian National University, Mar 15, 2023
No.23-0301 Efficient Distributed Complex Event Processing
Complex event processing emerged as a computational paradigm to detect patterns in event streams based on the continuous evaluation of event queries. Once such queries are evaluated i...
From Humboldt-Universität zu Berlin (HU), Mar 09, 2023
No.23-03 Score based Diffusion Models and Their Applications
Generative models show great potential in generating new samples, which have been extensively investigated in 2D/3D vision tasks. Among them, the adversarial training based models, e....
From Australian National University, Mar 01, 2023
No.23-02 Seven Algorithms for the Same Task (Testing Uniformity)
Suppose you get a set of (independent) data points in some discrete but huge domain {1,2,…,k}, and want to determine if this data is uniformly distributed. This is a basic and fundame...
From University of Sydney, Mar 08, 2023