11 citations · 20 across the 6 of their papers we have counts for
6 papers
Is Mamba Effective for Time Series Forecasting?
Zihan Wang, Fanheng Kong, Shi Feng +5
In the realm of time series forecasting (TSF), it is imperative for models to adeptly discern and distill hidden patterns within historical time series data to forecast future stat…
Beyond Instance Discrimination: Relation-aware Contrastive Self-supervised Learning
Yifei Zhang, Chang Liu, Yu Zhou +3
Contrastive self-supervised learning (CSL) based on instance discrimination typically attracts positive samples while repelling negatives to learn representations with pre-defined…
Dense Semantic Contrast for Self-Supervised Visual Representation Learning
Xiaoni Li, Yu Zhou, Yifei Zhang +5
Self-supervised representation learning for visual pre-training has achieved remarkable success with sample (instance or pixel) discrimination and semantics discovery of instance,…
Exploring Instance Relations for Unsupervised Feature Embedding
Yifei Zhang, Yu Zhou, Weiping Wang
Despite the great progress achieved in unsupervised feature embedding, existing contrastive learning methods typically pursue view-invariant representations through attracting posi…
Progressive Cluster Purification for Unsupervised Feature Learning
Yifei Zhang, Chang Liu, Yu Zhou +3
In unsupervised feature learning, sample specificity based methods ignore the inter-class information, which deteriorates the discriminative capability of representation models. Cl…
Adversarial Synthesis of Human Pose from Text
Yifei Zhang, Rania Briq, Julian Tanke +1
This work focuses on synthesizing human poses from human-level text descriptions. We propose a model that is based on a conditional generative adversarial network. It is designed t…