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05/25/2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
In the field of quantitative trading, it is common practice to transform...
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05/10/2022
Selective Fairness in Recommendation via Prompts
Recommendation fairness has attracted great attention recently. In real-...
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04/20/2022
User-Centric Conversational Recommendation with Multi-Aspect User Modeling
Conversational recommender systems (CRS) aim to provide highquality reco...
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03/20/2022
Multi-view Multi-behavior Contrastive Learning in Recommendation
Multi-behavior recommendation (MBR) aims to jointly consider multiple be...
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12/27/2021
Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement
Cross-Lingual Information Retrieval (CLIR) aims to rank the documents wr...
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09/01/2021
ConRPG: Paraphrase Generation using Contexts as Regularizer
A long-standing issue with paraphrase generation is how to obtain reliab...
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08/28/2021
Layer-wise Model Pruning based on Mutual Information
The proposed pruning strategy offers merits over weight-based pruning te...
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08/13/2021
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
The delayed feedback problem is one of the imperative challenges in onli...
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07/18/2021
GuideBoot: Guided Bootstrap for Deep Contextual Bandits
The exploration/exploitation (E E) dilemma lies at the core of interac...
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06/30/2021
ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information
Recent pretraining models in Chinese neglect two important aspects speci...
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06/21/2021
Iterative Network Pruning with Uncertainty Regularization for Lifelong Sentiment Classification
Lifelong learning capabilities are crucial for sentiment classifiers to ...
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06/03/2021
Defending against Backdoor Attacks in Natural Language Generation
The frustratingly fragile nature of neural network models make current n...
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05/17/2021
Sentence Similarity Based on Contexts
Existing methods to measure sentence similarity are faced with two chall...
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10/29/2020
Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information
Named entity recognition (NER) is highly sensitive to sentential syntact...
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09/21/2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Supervised neural networks, which first map an input x to a single repre...
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12/23/2019
Discovering Protagonist of Sentiment with Aspect Reconstructed Capsule Network
Most recent existing aspect-term level sentiment analysis (ATSA) approac...
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12/23/2019
Hunt Protagonist of Sentiment: Sentiment Analysis via Capsule Network with Sentiment-Aspect Reconstruction
Aspect-term level sentiment analysis (ATSA) is a fine-grained task in se...
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05/26/2019
Towards reliable and fair probabilistic predictions: field-aware calibration with neural networks
In machine learning, it is observed that probabilistic predictions somet...
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04/25/2019
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings
Click-through rate (CTR) prediction has been one of the most central pro...
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08/22/2018
Hierarchical Neural Network for Extracting Knowledgeable Snippets and Documents
In this study, we focus on extracting knowledgeable snippets and annotat...
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05/19/2018
Free-rider Episode Screening via Dual Partition Model
One of the drawbacks of frequent episode mining is that overwhelmingly m...
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03/05/2018
Cross-domain novelty seeking trait mining for sequential recommendation
Transfer learning has attracted a large amount of interest and research ...
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01/22/2018
