activity
20172024
most citedDINOv2: Learning Robust Visual Features without Supervision

1.1k citations · 1.7k across the 22 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CV2020

Audio-Visual Event Recognition through the lens of Adversary

Juncheng B Li, Kaixin Ma, Shuhui Qu +2

As audio/visual classification models are widely deployed for sensitive tasks like content filtering at scale, it is critical to understand their robustness along with improving th…

cs.CV2020★ 36 cited

Support-set bottlenecks for video-text representation learning

Mandela Patrick, Po-Yao Huang, Yuki Asano +4

The dominant paradigm for learning video-text representations -- noise contrastive learning -- increases the similarity of the representations of pairs of samples that are known to…

cs.LG2020★ 39 cited

A Survey of Deep Active Learning

Pengzhen Ren, Yun Xiao, Xiaojun Chang +5

Active learning (AL) attempts to maximize the performance gain of the model by marking the fewest samples. Deep learning (DL) is greedy for data and requires a large amount of data…

cs.LG2020★ 201 cited

A Comprehensive Survey of Neural Architecture Search: Challenges and Solutions

Pengzhen Ren, Yun Xiao, Xiaojun Chang +4

Deep learning has made breakthroughs and substantial in many fields due to its powerful automatic representation capabilities. It has been proven that neural architecture design is…

cs.CL2020★ 5 cited

Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting

Po-Yao Huang, Junjie Hu, Xiaojun Chang +1

Unsupervised machine translation (MT) has recently achieved impressive results with monolingual corpora only. However, it is still challenging to associate source-target sentences…