activity
20182023
most citedUncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification

41 citations · 177 across the 21 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.CL2022★ 3 cited

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

Zhe Zhao, Yudong Li, Cheng Hou +23

Recently, the success of pre-training in text domain has been fully extended to vision, audio, and cross-modal scenarios. The proposed pre-training models of different modalities a…

cs.LG2022★ 15 cited

MPCFormer: fast, performant and private Transformer inference with MPC

Dacheng Li, Rulin Shao, Hongyi Wang +3

Enabling private inference is crucial for many cloud inference services that are based on Transformer models. However, existing private inference solutions can increase the inferen…

cs.CV2022★ 1 cited

MGTR: End-to-End Mutual Gaze Detection with Transformer

Hang Guo, Zhengxi Hu, Jingtai Liu

People's looking at each other or mutual gaze is ubiquitous in our daily interactions, and detecting mutual gaze is of great significance for understanding human social scenes. Cur…

cs.CL2022

Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching

Kunbo Ding, Weijie Liu, Yuejian Fang +3

Previous studies have proved that cross-lingual knowledge distillation can significantly improve the performance of pre-trained models for cross-lingual similarity matching tasks.…

cs.CL2022★ 14 cited

RLPrompt: Optimizing Discrete Text Prompts with Reinforcement Learning

Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh +6

Prompting has shown impressive success in enabling large pretrained language models (LMs) to perform diverse NLP tasks, especially when only few downstream data are available. Auto…

q-bio.BM2022★ 7 cited

Ligandformer: A Graph Neural Network for Predicting Compound Property with Robust Interpretation

Jinjiang Guo, Qi Liu, Han Guo +1

Robust and efficient interpretation of QSAR methods is quite useful to validate AI prediction rationales with subjective opinion (chemist or biologist expertise), understand sophis…