
[1905.02450] MASS: Masked Sequence to Sequence Pre-training …
2019年5月7日 · Pre-training and fine-tuning, e.g., BERT, have achieved great success in language understanding by transferring knowledge from rich-resource pre-training task to the …
In this paper, we propose employing what we call the list-wise approach, in which document lists instead of docu-ment pairs are used as instances in learning. The major question then is how …
Qin-Tie Lin's research works | GuangDong University of …
Qin-Tie Lin's 4 research works with 13 citations and 75 reads, including: Immobilization Impact of Goethite-Fulvic Acid Composites on Pb-Cd Contaminated Soil | Find out more.
Suphx: Mastering Mahjong with Deep Reinforcement Learning
2020年3月30日 · We design an AI for Mahjong, named Suphx, based on deep reinforcement learning with some newly introduced techniques including global reward prediction, oracle …
Tao Qin - Microsoft Research
Dr. Tao Qin (秦涛) is a Partner Research Manager at Microsoft Research and leading the MSR AI for Science Asia team.
About Me | Juntao Li (李俊涛)
Dr. Juntao Li is now an associate professor at School of Computer Science & Technology, Soochow University, working with Prof. Min Zhang. Before that, he obtained a doctoral degree …
FastSpeech 2: Fast and High-Quality End-to-End Text to Speech
2020年6月8日 · In this paper, we propose FastSpeech 2, which addresses the issues in FastSpeech and better solves the one-to-many mapping problem in TTS by 1) directly training …
Qin Yun-tie - Semantic Scholar
Qin Yun-tie. Environmental Science, Biology. 2009; TLDR. Higher removal rates of COD, nitrogen and phosphorus could be obtained with proper algal -bacteria ratio and high return ratio under …
Multilingual Neural Machine Translation with Language Clustering
3 天之前 · We study two methods for language clustering: (1) using prior knowledge, where we cluster languages according to language family, and (2) using language embedding, in which …
Tao Qin Tie-Yan Liu Jun Xu Hang Li Received: date / Accepted: date Abstract LETOR is a benchmark collection for the research on learning to rank for information retrieval, released by …
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