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Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
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Graph Attention Collaborative Similarity Embedding for Recommender System
We present Graph Attention Collaborative Similarity Embedding (GACSE), a...
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CLEAR: Contrastive Learning for Sentence Representation
Pre-trained language models have proven their unique powers in capturing...
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Graph Neural Networks in Recommender Systems: A Survey
With the explosive growth of online information, recommender systems pla...
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Contrastive Pre-training for Sequential Recommendation
Sequential recommendation methods play a crucial role in modern recommen...
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Unclicked User Behaviors Enhanced Sequential Recommendation
Deep learning-based sequential recommender systems have recently attract...
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NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
Learning informative representations (aka. embeddings) of users and item...
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MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Click-through rate (CTR) prediction is a critical task for many industri...
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Ranking Enhanced Dialogue Generation
How to effectively utilize the dialogue history is a crucial problem in ...
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Learning Personalized Risk Preferences for Recommendation
The rapid growth of e-commerce has made people accustomed to shopping on...
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Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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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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A Unified DNN Weight Compression Framework Using Reweighted Optimization Methods
To address the large model size and intensive computation requirement of...
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Skeleton Based Action Recognition using a Stacked Denoising Autoencoder with Constraints of Privileged Information
Recently, with the availability of cost-effective depth cameras coupled ...
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Learning in the Frequency Domain
Deep neural networks have achieved remarkable success in computer vision...
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MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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SDM: Sequential Deep Matching Model for Online Large-scale Recommender System
Capturing users' precise preferences is a fundamental problem in large-s...
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Improving Multi-turn Dialogue Modelling with Utterance ReWriter
Recent research has made impressive progress in single-turn dialogue mod...
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Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named...
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Deep Session Interest Network for Click-Through Rate Prediction
Click-Through Rate (CTR) prediction plays an important role in many indu...
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POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion
Increasing demand for fashion recommendation raises a lot of challenges ...
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Compositional Network Embedding
Network embedding has proved extremely useful in a variety of network an...
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Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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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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BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer
Modeling users' dynamic and evolving preferences from their historical b...
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Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation
This paper proposes an efficient neural network (NN) architecture design...
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FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search
Designing accurate and efficient ConvNets for mobile devices is challeng...
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2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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Multi-Source Pointer Network for Product Title Summarization
In this paper, we study the product title summarization problem in E-com...
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Semantic Regularities in Document Representations
Recent work exhibited that distributed word representations are good at ...
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Component-Enhanced Chinese Character Embeddings
Distributed word representations are very useful for capturing semantic ...
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