1.1k citations · 3.9k across the 29 of their papers we have counts for
6 papers · 1 filter
CODE: Contrastive Pre-training with Adversarial Fine-tuning for Zero-shot Expert Linking
Bo Chen, Jing Zhang, Xiaokang Zhang +6
Expert finding, a popular service provided by many online websites such as Expertise Finder, LinkedIn, and AMiner, is beneficial to seeking candidate qualifications, consultants, a…
CPM: A Large-scale Generative Chinese Pre-trained Language Model
Zhengyan Zhang, Xu Han, Hao Zhou +22
Pre-trained Language Models (PLMs) have proven to be beneficial for various downstream NLP tasks. Recently, GPT-3, with 175 billion parameters and 570GB training data, drew a lot o…
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results
Kai Zhang, Martin Danelljan, Yawei Li +75
This paper reviews the AIM 2020 challenge on efficient single image super-resolution with focus on the proposed solutions and results. The challenge task was to super-resolve an in…
A Matrix Chernoff Bound for Markov Chains and Its Application to Co-occurrence Matrices
Jiezhong Qiu, Chi Wang, Ben Liao +2
We prove a Chernoff-type bound for sums of matrix-valued random variables sampled via a regular (aperiodic and irreducible) finite Markov chain. Specially, consider a random walk o…
A framework for constructing a huge name disambiguation dataset: algorithms, visualization and human collaboration
Zhuoyue Xiao, Yutao Zhang, Bo Chen +2
We present a manually-labeled Author Name Disambiguation(AND) Dataset called WhoisWho, which consists of 399,255 documents and 45,187 distinct authors with 421 ambiguous author nam…
Self-supervised Learning: Generative or Contrastive
Xiao Liu, Fanjin Zhang, Zhenyu Hou +4
Deep supervised learning has achieved great success in the last decade. However, its deficiencies of dependence on manual labels and vulnerability to attacks have driven people to…