论文与出版物 Rhino: Deep Causal Temporal Relationship Learning with history-dependent noise Wenbo Gong, Joel Jennings, Cheng Zhang, Nick Pawlowski NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
论文与出版物 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning Matthew Ashman, Chao Ma, Agrin Hilmkil, Joel Jennings, Cheng Zhang NeurIPS 2022 Workshop on Causal Machine Learning for Real-World Impact (CML4Impact 2022) | November 2022
论文与出版物 Distilled Dual-Encoder Model for Vision-Language Understanding Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei EMNLP 2022 | November 2022
论文与出版物 Self-explaining deep models with logic rule reasoning Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha Neural Information Processing Systems (NeurIPS) | November 2022
论文与出版物 When Can Transformers Ground and Compose: Insights from Compositional Generalization Benchmarks Ankur Sikarwar, Arkil Patel, Navin Goyal EMNLP 2022 | October 2022
论文与出版物 When Language Model Meets Private Library Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou EMNLP 2022 | October 2022
论文与出版物 Reduce Catastrophic Forgetting of Dense Retrieval Training with Teleportation Negatives Si Sun, Chenyan Xiong, Yue Yu, Arnold Overwijk, Zhiyuan Liu, Jie Bao EMNLP 2022 | October 2022
论文与出版物 Xtreme Margin: A Tunable Loss Function for Binary Classification Problems Rayan S. Wali October 2022
论文与出版物 Principled Offline RL with Rich Exogenous Information Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Didolkar, Dipendra Misra, Xin Li, Harm van Seijen, Remi Tachet des Combes, John Langford ICML 2023 | October 2022
论文与出版物 Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change Zhaochen Su, Zecheng Tang, Xinyan Guan, Juntao Li, Lijun Wu, Min Zhang EMNLP 2022 | October 2022