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08/28/2023
Can Transformer and GNN Help Each Other?
Although Transformer has achieved great success in natural language proc...
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08/21/2023
Foundation Model-oriented Robustness: Robust Image Model Evaluation with Pretrained Models
Machine learning has demonstrated remarkable performance over finite dat...
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08/18/2023
Attention Calibration for Transformer-based Sequential Recommendation
Transformer-based sequential recommendation (SR) has been booming in rec...
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05/23/2023
Continual Learning on Dynamic Graphs via Parameter Isolation
Many real-world graph learning tasks require handling dynamic graphs whe...
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03/06/2023
A Survey on Incremental Update for Neural Recommender Systems
Recommender Systems (RS) aim to provide personalized suggestions of item...
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02/28/2023
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
Existing research efforts for multi-interest candidate matching in recom...
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11/10/2022
Equivariant Contrastive Learning for Sequential Recommendation
Contrastive learning (CL) benefits the training of sequential recommenda...
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08/05/2022
Dynamic Adaptive and Adversarial Graph Convolutional Network for Traffic Forecasting
Traffic forecasting is challenging due to dynamic and complicated spatia...
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06/26/2022
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Session-based recommendation (SBR) aims to predict the user next action ...
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06/26/2022
Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation
Session-based recommendation (SBR) aims to predict the user next action ...
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05/18/2022
AdaMCT: Adaptive Mixture of CNN-Transformer for Sequential Recommendation
Sequential recommendation (SR) aims to model users' dynamic preferences ...
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04/23/2022
Decoupled Side Information Fusion for Sequential Recommendation
Side information fusion for sequential recommendation (SR) aims to effec...
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12/13/2021
Sequential Recommendation with Bidirectional Chronological Augmentation of Transformer
Sequential recommendation can capture user chronological preferences fro...
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04/20/2020
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
Automatic speech recognition (ASR) via call is essential for various app...
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05/31/2018
DialogWAE: Multimodal Response Generation with Conditional Wasserstein Auto-Encoder
Variational autoencoders (VAEs) have shown a promise in data-driven conv...
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12/16/2017
NSML: A Machine Learning Platform That Enables You to Focus on Your Models
Machine learning libraries such as TensorFlow and PyTorch simplify model...
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12/16/2017
Automatic Music Highlight Extraction using Convolutional Recurrent Attention Networks
Music highlights are valuable contents for music services. Most methods ...
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11/24/2017
StarGAN: Unified Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Recent studies have shown remarkable success in image-to-image translati...
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04/25/2017
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning
Computer programs written in one language are often required to be porte...
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05/27/2016
