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08/17/2023
mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning
Cross-lingual named entity recognition (CrossNER) faces challenges stemm...
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08/14/2023
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Sequential recommendation demonstrates the capability to recommend items...
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07/29/2023
Recommendation Unlearning via Matrix Correction
Recommender systems are important for providing personalized services to...
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06/11/2023
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model
Currently, the reduction in the parameter scale of large-scale pre-train...
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05/20/2023
Lifting the Curse of Capacity Gap in Distilling Language Models
Pretrained language models (LMs) have shown compelling performance on va...
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05/10/2023
FedDWA: Personalized Federated Learning with Online Weight Adjustment
Different from conventional federated learning, personalized federated l...
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04/23/2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
In dynamic interaction graphs, user-item interactions usually follow het...
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03/20/2023
Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition
Named entity recognition (NER) is an important research problem in natur...
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02/04/2023
Personalized Graph Signal Processing for Collaborative Filtering
The collaborative filtering (CF) problem with only user-item interaction...
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10/15/2022
Parameter-free Dynamic Graph Embedding for Link Prediction
Dynamic interaction graphs have been widely adopted to model the evoluti...
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08/22/2022
Sampling Gaussian Stationary Random Fields: A Stochastic Realization Approach
Generating large-scale samples of stationary random fields is of great i...
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05/29/2022
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression
Driven by the teacher-student paradigm, knowledge distillation is one of...
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09/30/2021
A Fast Robust Numerical Continuation Solver to a Two-Dimensional Spectral Estimation Problem
This paper presents a fast algorithm to solve a spectral estimation prob...
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10/30/2020
VECO: Variable Encoder-decoder Pre-training for Cross-lingual Understanding and Generation
Recent studies about learning multilingual representations have achieved...
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11/08/2019
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks
Brain networks have received considerable attention given the critical s...
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12/18/2015
