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08/15/2023
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation
Personalized recommendation relies on user historical behaviors to provi...
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06/15/2023
Graph Convolution Based Efficient Re-Ranking for Visual Retrieval
Visual retrieval tasks such as image retrieval and person re-identificat...
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04/24/2023
A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators
We build universal approximators of continuous maps between arbitrary Po...
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02/26/2023
No-Regret Linear Bandits beyond Realizability
We study linear bandits when the underlying reward function is not linea...
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02/16/2023
Dialogue State Distillation Network with Inter-Slot Contrastive Learning for Dialogue State Tracking
In task-oriented dialogue systems, Dialogue State Tracking (DST) aims to...
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01/15/2023
Summative Student Course Review Tool Based on Machine Learning Sentiment Analysis to Enhance Life Science Feedback Efficacy
Machine learning enables the development of new, supplemental, and empow...
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11/16/2022
Global Optimization with Parametric Function Approximation
We consider the problem of global optimization with noisy zeroth order o...
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08/08/2022
UFNRec: Utilizing False Negative Samples for Sequential Recommendation
Sequential recommendation models are primarily optimized to distinguish ...
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12/13/2021
C^2-Rec: An Effective Consistency Constraint for Sequential Recommendation
Sequential recommendation methods play an important role in real-world r...
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09/08/2021
Higher Order Kernel Mean Embeddings to Capture Filtrations of Stochastic Processes
Stochastic processes are random variables with values in some space of p...
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06/15/2021
Vision-Language Navigation with Random Environmental Mixup
Vision-language Navigation (VLN) tasks require an agent to navigate step...
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05/20/2021
An Empirical Study of Vehicle Re-Identification on the AI City Challenge
This paper introduces our solution for the Track2 in AI City Challenge 2...
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05/14/2021
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones
Multi-Target Multi-Camera Tracking has a wide range of applications and ...
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11/06/2020
Revisiting Model-Agnostic Private Learning: Faster Rates and Active Learning
The Private Aggregation of Teacher Ensembles (PATE) framework is one of ...
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07/27/2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
In this paper, we present a novel deep metric learning method to tackle ...
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03/04/2020
Unity Style Transfer for Person Re-Identification
Style variation has been a major challenge for person re-identification,...
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06/08/2019
Doubly Robust Crowdsourcing
Large-scale labeled datasets are the indispensable fuel that ignites the...
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01/19/2019