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08/31/2023
Continual Learning From a Stream of APIs
Continual learning (CL) aims to learn new tasks without forgetting previ...
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08/26/2023
Video and Audio are Images: A Cross-Modal Mixer for Original Data on Video-Audio Retrieval
Cross-modal retrieval has become popular in recent years, particularly w...
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12/16/2022
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
Sequential recommendation is an important task to predict the next-item ...
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11/28/2022
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
Multi-task learning (MTL) models have demonstrated impressive results in...
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06/06/2021
Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction
The consistency of a response to a given post at semantic-level and emot...
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05/25/2021
NEUer at SemEval-2021 Task 4: Complete Summary Representation by Filling Answers into Question for Matching Reading Comprehension
SemEval task 4 aims to find a proper option from multiple candidates to ...
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11/16/2020
User-based Network Embedding for Collective Opinion Spammer Detection
Due to the huge commercial interests behind online reviews, a tremendous...
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04/28/2020
CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network
Recently, Memory-based Neural Recommenders (MNR) have demonstrated super...
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02/16/2020
Generalized Embedding Machines for Recommender Systems
Factorization machine (FM) is an effective model for feature-based recom...
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09/19/2019
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recommender systems have become an essential tool to help resolve the in...
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04/30/2019
Deep Learning-based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations
In the field of sequential recommendation, deep learning methods have re...
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01/05/2018