Summary of Videosam: a Large Vision Foundation Model For High-speed Video Segmentation, by Chika Maduabuchi et al.
VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentationby Chika Maduabuchi, Ericmoore Jossou, Matteo…
Summary of Towards Robust Out-of-distribution Generalization: Data Augmentation and Neural Architecture Search Approaches, by Haoyue Bai
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approachesby Haoyue BaiFirst submitted to…
Summary of Deep Optimizer States: Towards Scalable Training Of Transformer Models Using Interleaved Offloading, by Avinash Maurya et al.
Deep Optimizer States: Towards Scalable Training of Transformer Models Using Interleaved Offloadingby Avinash Maurya, Jie…
Summary of Decoding Diffusion: a Scalable Framework For Unsupervised Analysis Of Latent Space Biases and Representations Using Natural Language Prompts, by E. Zhixuan Zeng and Yuhao Chen and Alexander Wong
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using…
Summary of Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noise, by Farnoush Baghestani et al.
Towards Continuous Skin Sympathetic Nerve Activity Monitoring: Removing Muscle Noiseby Farnoush Baghestani, Mahdi Pirayesh Shirazi…
Summary of Mathematical Derivation Graphs: a Task For Summarizing Equation Dependencies in Stem Manuscripts, by Vishesh Prasad et al.
Mathematical Derivation Graphs: A Task for Summarizing Equation Dependencies in STEM Manuscriptsby Vishesh Prasad, Brian…
Summary of Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations For Unsupervised Time Series Anomaly Detection, by Ruyi Zhang et al.
Angel or Devil: Discriminating Hard Samples and Anomaly Contaminations for Unsupervised Time Series Anomaly Detectionby…
Summary of Just Propagate: Unifying Matrix Factorization, Network Embedding, and Lightgcn For Link Prediction, by Haoxin Liu
Just Propagate: Unifying Matrix Factorization, Network Embedding, and LightGCN for Link Predictionby Haoxin LiuFirst submitted…
Summary of Self-supervised Learning and Opportunistic Inference For Continuous Monitoring Of Freezing Of Gait in Parkinson’s Disease, by Shovito Barua Soumma et al.
Self-Supervised Learning and Opportunistic Inference for Continuous Monitoring of Freezing of Gait in Parkinson’s Diseaseby…
Summary of Deconfounding Time Series Forecasting, by Wentao Gao et al.
Deconfounding Time Series Forecastingby Wentao Gao, Feiyu Yang, Mengze Hong, Xiaojing Du, Zechen Hu, Xiongren…