H4D: Human 4D Modeling by Learning Neural Compositional Representation. Boyan Jiang, Yinda Zhang, Xingkui Wei, Xiangyang Xue, Yanwei Fu. CVPR 2022. [PDF] OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction. Wenbin Lin, Chengwei Zheng, Jun-Hai Yong, Feng Xu...
PointCLIP V2: Adapting CLIP for Powerful 3D Open-world Learning CVPR 2022-11-21 Github - Visual Programming: Compositional visual reasoning without training CVPR 2022-11-18 Github Local Demo Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language arXiv 2022-04-01 Github - Found...
2022-05 0-shot CoT Large Language Models are Zero-Shot Reasoners Tell LLMs to think step by step, and they can actually do it 2022-06 BIG Bench Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models Another world-knowledge and complex reasoning benchmark ...
It is also a compositional tool that allows to produce high quality sounds controllable at the sample level, defining and redefining the digital signal processors and the musical structures on-the-fly. CLM - Common Lisp Music is a music synthesis and signal processing package in the Music V ...
Unconstrained face alignment via cascaded compositional learning[C]//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 3409-3417. Zhang J, Kan M, Shan S, et al. Occlusion-free face alignment: deep regression networks coupled with de-corrupt autoencoders[C]//...
Adapting Language Models for Zero-shot Learning by Meta-tuning on Dataset and Prompt Collections. Ruiqi Zhong, Kristy Lee, Zheng Zhang, and Dan Klein. Findings of EMNLP 2021. [pdf]; [code]. Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System....
在 Few-shot Learning 和 Zero-shot Learning 两个问题上进行了实验。实验表明 MSplit LBI 由优于 L1 和 L2。针对 ZSL 进行了特征可视化实验。 20190108 WACV-19 Zero-shot Learning via Recurrent Knowledge Transfer 基于样本合成的零样本学习算法通常将 semantic embeddings 的知识迁移到 image features...
"Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?" [2023-05] [paper] "A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning" [2023-06] [paper] "Limits of Machine Learning for Automatic Vulnerability Det...
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges, and Opportunities (ACM Computing Surveys (CSUR)) [paper] 2022 LiteHAR: LIGHTWEIGHT HUMAN ACTIVITY RECOGNITION FROM WIFI SIGNALS WITH RANDOM CONVOLUTION KERNELS Zero-Shot Learning for IMU-Based Activity Recognition Using Vid...
FedNest: Federated Bilevel, Minimax, and Compositional Optimization University of Michigan code Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification University of Maryland code DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training...