433 citations · 3.3k across the 91 of their papers we have counts for
91 papers
Euclid: The search for primordial features
M. Ballardini, Y. Akrami, F. Finelli +126
Primordial features, in particular oscillatory signals, imprinted in the primordial power spectrum of density perturbations represent a clear window of opportunity for detecting ne…
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition
Yanan Wu, Songhe Feng, Yang Wang
Multi-label image recognition aims to predict a set of labels that present in an image. The key to deal with such problem is to mine the associations between image contents and lab…
Video Summarization Overview
Mayu Otani, Yale Song, Yang Wang
With the broad growth of video capturing devices and applications on the web, it is more demanding to provide desired video content for users efficiently. Video summarization facil…
Few-Shot Learning of Compact Models via Task-Specific Meta Distillation
Yong Wu, Shekhor Chanda, Mehrdad Hosseinzadeh +2
We consider a new problem of few-shot learning of compact models. Meta-learning is a popular approach for few-shot learning. Previous work in meta-learning typically assumes that t…
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
Tao Zhong, Zhixiang Chi, Li Gu +3
In this paper, we tackle the problem of domain shift. Most existing methods perform training on multiple source domains using a single model, and the same trained model is used on…
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
Huan Liu, Li Gu, Zhixiang Chi +4
Few-shot class-incremental learning (FSCIL) has been proposed aiming to enable a deep learning system to incrementally learn new classes with limited data. Recently, a pioneer clai…