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07/10/2023
RLTF: Reinforcement Learning from Unit Test Feedback
The goal of program synthesis, or code generation, is to generate execut...
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03/04/2023
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks
In the fashion domain, there exists a variety of vision-and-language (V+...
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11/22/2022
LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
LiDAR can capture accurate depth information in large-scale scenarios wi...
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07/17/2022
FashionViL: Fashion-Focused Vision-and-Language Representation Learning
Large-scale Vision-and-Language (V+L) pre-training for representation le...
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05/28/2022
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks
Network embedding represents network nodes by a low-dimensional informat...
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01/10/2022
Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications
High-dimensional autocovariance matrices play an important role in dimen...
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12/15/2021
Data Valuation for Vertical Federated Learning: An Information-Theoretic Approach
Federated learning (FL) is a promising machine learning paradigm that en...
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11/23/2021
CoDiM: Learning with Noisy Labels via Contrastive Semi-Supervised Learning
Labels are costly and sometimes unreliable. Noisy label learning, semi-s...
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01/13/2019
