1.4k citations · 2.2k across the 116 of their papers we have counts for
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Robust and Precise Facial Landmark Detection by Self-Calibrated Pose Attention Network
Jun Wan, Hui Xi, Jie Zhou +4
Current fully-supervised facial landmark detection methods have progressed rapidly and achieved remarkable performance. However, they still suffer when coping with faces under larg…
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu, Lulu Tang, Yongming Rao +3
We present Point-BERT, a new paradigm for learning Transformers to generalize the concept of BERT to 3D point cloud. Inspired by BERT, we devise a Masked Point Modeling (MPM) task…
WeChat Neural Machine Translation Systems for WMT21
Xianfeng Zeng, Yijin Liu, Ernan Li +5
This paper introduces WeChat AI's participation in WMT 2021 shared news translation task on English->Chinese, English->Japanese, Japanese->English and English->German. Our systems…
Digging Errors in NMT: Evaluating and Understanding Model Errors from Partial Hypothesis Space
Jianhao Yan, Chenming Wu, Fandong Meng +1
Solid evaluation of neural machine translation (NMT) is key to its understanding and improvement. Current evaluation of an NMT system is usually built upon a heuristic decoding alg…
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
Hui Jiang, Chulun Zhou, Fandong Meng +5
Due to the great potential in facilitating software development, code generation has attracted increasing attention recently. Generally, dominant models are Seq2Tree models, which…
Prevent the Language Model from being Overconfident in Neural Machine Translation
Mengqi Miao, Fandong Meng, Yijin Liu +2
The Neural Machine Translation (NMT) model is essentially a joint language model conditioned on both the source sentence and partial translation. Therefore, the NMT model naturally…
Selective Knowledge Distillation for Neural Machine Translation
Fusheng Wang, Jianhao Yan, Fandong Meng +1
Neural Machine Translation (NMT) models achieve state-of-the-art performance on many translation benchmarks. As an active research field in NMT, knowledge distillation is widely ap…
Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation
Yangyifan Xu, Yijin Liu, Fandong Meng +3
Recently, token-level adaptive training has achieved promising improvement in machine translation, where the cross-entropy loss function is adjusted by assigning different training…
Fully Hyperbolic Neural Networks
Weize Chen, Xu Han, Yankai Lin +5
Hyperbolic neural networks have shown great potential for modeling complex data. However, existing hyperbolic networks are not completely hyperbolic, as they encode features in a h…
Knowledge Inheritance for Pre-trained Language Models
Yujia Qin, Yankai Lin, Jing Yi +8
Recent explorations of large-scale pre-trained language models (PLMs) have revealed the power of PLMs with huge amounts of parameters, setting off a wave of training ever-larger PL…
Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds
Jingyu Gong, Jiachen Xu, Xin Tan +4
Boundary information plays a significant role in 2D image segmentation, while usually being ignored in 3D point cloud segmentation where ambiguous features might be generated in fe…