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08/23/2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
As an effective tool for eliciting the power of Large Language Models (L...
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05/17/2023
Evaluating Object Hallucination in Large Vision-Language Models
Inspired by the superior language abilities of large language models (LL...
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05/06/2023
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer
In addition to relevance, diversity is an important yet less studied per...
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03/22/2023
How does SSD Cluster Perform for Distributed File Systems: An Empirical Study
As the capacity of Solid-State Drives (SSDs) is constantly being optimis...
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12/07/2021
Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning
Despite the great progress in video understanding made by deep convoluti...
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10/28/2021
Cross-Batch Negative Sampling for Training Two-Tower Recommenders
The two-tower architecture has been widely applied for learning item and...
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09/26/2021
SimpleX: A Simple and Strong Baseline for Collaborative Filtering
Collaborative filtering (CF) is a widely studied research topic in recom...
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04/06/2021
CANS-Net: Context-Aware Non-Successive Modeling Network for Next Point-of-Interest Recommendation
Point-of-Interest (POI) recommendation is an important task in location-...
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09/12/2020
Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Self-supervised learning has shown great potentials in improving the vid...
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09/12/2020
Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
One significant factor we expect the video representation learning to ca...
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08/05/2020
Self-supervised Temporal Discriminative Learning for Video Representation Learning
Temporal cues in videos provide important information for recognizing ac...
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08/05/2020
Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition
Self-supervised learning has shown great potentials in improving the dee...
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01/06/2020
Improving Entity Linking by Modeling Latent Entity Type Information
Existing state of the art neural entity linking models employ attention-...
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09/08/2018
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Recent neural models for data-to-text generation are mostly based on dat...
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08/15/2018
