Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, Jie Tang.
Machine learning systems generally assume that the training and testing distributions are the same. Third, we introduce the commonly used datasets, applications, and our open-sourced codebase for fair...
Artificial Intelligence (AI) has vast potential in marketing. The specific applications of AI in various marketing segments and their transformations for marketing sectors are examined.
This research explores Computer Vision, contributing new insights to the field of Artificial Intelligence.
Interpretability in machine learning (ML) is crucial for high stakes decisions and troubleshooting. These problems are: (1) Optimizing sparse logical models such as decision trees; (2) Optimization of...
Automatic medical image segmentation has made great progress owing to the powerful deep representation learning. Additionally, we introduce the Swin Transformer block into decoder to further explore t...
Forecasting has always been at the forefront of decision making and planning. We offer cross-references to allow the readers to navigate through the various topics.
Industry 4.0 technologies provide critical perspectives for future innovation and business growth. Thus, it gives a better understanding of the production environment, the supply chains, the delivery...
This research explores MaxViT: Multi-axis Vision Transformer, contributing new insights to the field of Artificial Intelligence.
Underwater images typically suffer from color deviations and low visibility due to the wavelength-dependent light absorption and scattering. Experiments further suggest that our method can effectively...
This research explores UNeXt: MLP-Based Rapid Medical Image Segmentation Network, contributing new insights to the field of Artificial Intelligence.
This research explores Computer Vision and Image Understanding, contributing new insights to the field of Artificial Intelligence.
Our objective in this work is video-text retrieval – in particular a joint embedding that enables efficient text-to-video retrieval. We also provide a new video-text pretraining dataset WebVid-2M, com...
Prompt tuning, which only tunes continuous prompts with a frozen language model, substantially reduces per-task storage and memory usage at training. It matches the performance of finetuning while hav...
This research explores 2022 IEEE/CVF Conference on Computer Vision and Pattern Reco..., contributing new insights to the field of Artificial Intelligence.
The metaverse has been recognized as one of the technologies with the greatest potential today. It is expected that, via this paper, researchers from the fields of both computer science and educationa...
This research explores Exploring Plain Vision Transformer Backbones for Object Dete..., contributing new insights to the field of Artificial Intelligence.
This research explores Joint Feature Learning and Relation Modeling for Tracking: A..., contributing new insights to the field of Artificial Intelligence.
We introduce BitFit, a sparse-finetuning method where only the bias-terms of the model (or a subset of them) are being modified. For larger data, the method is competitive with other sparse fine-tunin...
There are emerging concerns about the Fairness, Accountability, Transparency, and Ethics (FATE) of educational interventions supported by the use of Artificial Intelligence (AI) algorithms. We then pr...