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05/25/2023
PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion
The generalization of neural networks is a central challenge in machine ...
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04/07/2023
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method
The development of knowledge graph (KG) applications has led to a rising...
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01/18/2022
Recommendation Unlearning
Recommender systems provide essential web services by learning users' pe...
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10/27/2020
Contrastive Pre-training for Sequential Recommendation
Sequential recommendation methods play a crucial role in modern recommen...
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04/24/2020
Computation on Sparse Neural Networks: an Inspiration for Future Hardware
Neural network models are widely used in solving many challenging proble...
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11/06/2019
MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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05/06/2019
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Increasing demand for fashion recommendation raises a lot of challenges ...
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04/15/2019
Personalized Context-aware Re-ranking for E-commerce Recommender Systems
Ranking is a core task in E-commerce recommender systems, which aims at ...
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04/14/2019
BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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12/21/2018
ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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08/26/2015
