Papernote
paper note, including personal comments, introduction, code etc
Install / Use
/learn @xwzhong/PapernoteREADME
recommender system
- 2018.07 Deep Content-User Embedding Model for Music Recommendation [arxiv] [note]
- 2017.08 Deep & Cross Network for Ad Click Predictions [arxiv] [note]
- 2017.03 DeepFM: A Factorization-Machine based Neural Network for CTR Prediction [arxiv] [note]
- 2016.09 Deep Neural Networks for YouTube Recommendations [research] [note]
- 2016.06 Wide & Deep Learning for Recommender Systems [arxiv] [note]
- 2010.12 Factorization Machines [ieee] [note]
- 1998.08 Implicit Feedback for Recommender Systems [aaai] [note]
QA & text generation
QA: retrieval-based (leaderboard):
- 2018.12 The Design and Implementation of XiaoIce, an Empathetic Social Chatbot [arxiv] [note]
- 2018.06 Modeling Multi-turn Conversation with Deep Utterance Aggregation [arxiv] [note]
- 2017.11 A Survey on Dialogue Systems: Recent Advances and New Frontiers [arxiv] [note]
- 2017.05 IRGAN [arxiv] [note]
- 2017.02 Bilateral Multi-Perspective Matching for Natural Language Sentences [arxiv] [note]
- 2016.12 A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots [arxiv] [note]
- 2016.11 A Compare-Aggregate Model for Matching Text Sequences [arxiv] [note]
- 2016.10 Noise-Contrastive Estimation for Answer Selection with Deep Neural Networks [semanticscholar] [note]
- 2016.02 Attentive Pooling Networks [arxiv] [note]
- 2015.11 LSTM-based Deep Learning Models For Non-factoid Answer Selection [arxiv] [note]
chatbot: generation-based:
- 2018.04 Chat More: Deepening and Widening the Chatting Topic via A Deep Model [paper] [note]
- 2018.01 From Eliza to XiaoIce: Challenges and Opportunities with Social Chatbots [arxiv] [translation]
- 2017.11 Neural Response Generation with Dynamic Vocabularies [arxiv] [note]
- 2017.11 MOJITALK: Generating Emotional Responses [arxiv] [note]
- 2017.07 AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine [aclweb] [note]
- 2017.04 Emotional Conversation Generation with Internal and External Memory [arxiv] [note]
- 2017.03 Learning Discourse-level Diversity for Neural Dialog Models using CVAE [arxiv] [note]
- 2017.02 A Knowledeg-Grounded Neural Conversation Model [arxiv] [note]
- 2017.01 Generating Long and Diverse Responses with Neural Conversation Models [arxiv] [note]
- 2016.07 Sequence to Backward and Forward Sequence [arxiv] [note]
- 2016.06 Topic Aware Neural Response Generation [arxiv] [note]
- 2016.06 Deep Reinforcement Learning for Dialogue Generation [arxiv] [note]
- 2015.03 Neural Responding Machine for Short-Text Conversation [arxiv] [note]
text generation
- 2018.06 Topic-to-Essay Generation with Neural Networks [paper] [note]
- 2016.10 Chinese Poetry Generation with Planning based Neural Network [arxiv] [note]
- 2016.03 Incorporating Copying Mechanism in Sequence-to-Sequence Learning [arxiv] [note]
classification
- 2019.05 How to Fine-Tune BERT for Text Classification? [arxiv] [note]
- 2018.06 SGM: Sequence Generation Model for Multi-Label Classification [arxiv] [note]
- 2018.04 ETH-DS3Lab at SemEval-2018 Task 7: ... Relation Classification and Extraction [arxiv] [[note](https://github.com/xwzhong/papernote/blob/m
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Security Score
Audited on Oct 18, 2025
No findings
