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04/12/2023
Rethinking Dense Retrieval's Few-Shot Ability
Few-shot dense retrieval (DR) aims to effectively generalize to novel se...
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04/01/2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Data-driven modeling approaches can produce fast surrogates to study lar...
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10/31/2022
Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives
In this paper, we investigate the instability in the standard dense retr...
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10/29/2021
Crowd-sensing Enhanced Parking Patrol using Trajectories of Sharing Bikes
Illegal vehicle parking is a common urban problem faced by major cities ...
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05/12/2021
Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks
Flexible manufacturing in the process industry requires control systems ...
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12/29/2020
Meta Adaptive Neural Ranking with Contrastive Synthetic Supervision
Neural Information Retrieval (Neu-IR) models have shown their effectiven...
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08/25/2020
Towards Better Bus Networks: A Visual Analytics Approach
Bus routes are typically updated every 3-5 years to meet constantly chan...
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04/28/2020
Joint Keyphrase Chunking and Salience Ranking with BERT
An effective keyphrase extraction system requires to produce self-contai...
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04/11/2020
Efficient Suspected Infected Crowds Detection Based on Spatio-Temporal Trajectories
Virus transmission from person to person is an emergency event facing th...
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07/11/2019
Reward Advancement: Transforming Policy under Maximum Causal Entropy Principle
Many real-world human behaviors can be characterized as a sequential dec...
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09/20/2018