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09/05/2023
Robust Recommender System: A Survey and Future Directions
With the rapid growth of information, recommender systems have become in...
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08/11/2023
A Large Language Model Enhanced Conversational Recommender System
Conversational recommender systems (CRSs) aim to recommend high-quality ...
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06/08/2023
Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts
Weight-sharing supernet has become a vital component for performance est...
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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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10/28/2022
LegoNet: A Fast and Exact Unlearning Architecture
Machine unlearning aims to erase the impact of specific training samples...
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08/11/2022
MILAN: Masked Image Pretraining on Language Assisted Representation
Self-attention based transformer models have been dominating many comput...
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06/24/2022
Debiasing Learning for Membership Inference Attacks Against Recommender Systems
Learned recommender systems may inadvertently leak information about the...
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04/01/2022
Proactively Control Privacy in Recommender Systems
Recently, privacy issues in web services that rely on users' personal da...
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03/09/2022
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning
Weight pruning in deep neural networks (DNNs) can reduce storage and com...
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01/18/2022
Recommendation Unlearning
Recommender systems provide essential web services by learning users' pe...
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12/21/2021
Compact Multi-level Sparse Neural Networks with Input Independent Dynamic Rerouting
Deep neural networks (DNNs) have shown to provide superb performance in ...
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12/20/2021
Load-balanced Gather-scatter Patterns for Sparse Deep Neural Networks
Deep neural networks (DNNs) have been proven to be effective in solving ...
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08/30/2021
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Despite significant progress has been achieved in text summarization, fa...
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05/28/2021
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation
To improve user experience and profits of corporations, modern industria...
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05/20/2021
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning
Conversational recommender systems (CRS) enable the traditional recommen...
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04/02/2021
GRN: Generative Rerank Network for Context-wise Recommendation
Reranking is attracting incremental attention in the recommender systems...
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03/08/2021
Semantic Models for the First-stage Retrieval: A Comprehensive Review
Multi-stage ranking pipelines have been a practical solution in modern s...
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02/28/2021
Explore User Neighborhood for Real-time E-commerce Recommendation
Recommender systems play a vital role in modern online services, such as...
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02/24/2021
Revisit Recommender System in the Permutation Prospective
Recommender systems (RS) work effective at alleviating information overl...
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02/05/2021
Graph Attention Collaborative Similarity Embedding for Recommender System
We present Graph Attention Collaborative Similarity Embedding (GACSE), a...
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12/31/2020
CLEAR: Contrastive Learning for Sentence Representation
Pre-trained language models have proven their unique powers in capturing...
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11/04/2020
Graph Neural Networks in Recommender Systems: A Survey
With the explosive growth of online information, recommender systems pla...
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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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10/24/2020
Unclicked User Behaviors Enhanced Sequential Recommendation
Deep learning-based sequential recommender systems have recently attract...
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10/23/2020
NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation
Learning informative representations (aka. embeddings) of users and item...
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08/13/2020
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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08/13/2020
Ranking Enhanced Dialogue Generation
How to effectively utilize the dialogue history is a crucial problem in ...
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07/06/2020
Learning Personalized Risk Preferences for Recommendation
The rapid growth of e-commerce has made people accustomed to shopping on...
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07/06/2020
Understanding Echo Chambers in E-commerce Recommender Systems
Personalized recommendation benefits users in accessing contents of inte...
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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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04/12/2020
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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03/12/2020
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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02/27/2020
Learning in the Frequency Domain
Deep neural networks have achieved remarkable success in computer vision...
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11/06/2019
MLPerf Inference Benchmark
Machine-learning (ML) hardware and software system demand is burgeoning....
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09/01/2019
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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06/14/2019
Improving Multi-turn Dialogue Modelling with Utterance ReWriter
Recent research has made impressive progress in single-turn dialogue mod...
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05/17/2019
Exact-K Recommendation via Maximal Clique Optimization
This paper targets to a novel but practical recommendation problem named...
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05/16/2019
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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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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04/17/2019
Compositional Network Embedding
Network embedding has proved extremely useful in a variety of network an...
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04/15/2019
Low-Power Computer Vision: Status, Challenges, Opportunities
Computer vision has achieved impressive progress in recent years. Meanwh...
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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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02/03/2019
Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems
Existing recommendation algorithms mostly focus on optimizing traditiona...
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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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12/09/2018
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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10/03/2018
2018 Low-Power Image Recognition Challenge
The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...
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08/21/2018
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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03/24/2016
