Linking pages
- Google Researchers Propose a Perceptual Image Quality Assessment Method for Compressed Images Using Deep Learning - MarkTechPost https://www.marktechpost.com/2022/10/24/google-researchers-propose-a-perceptual-image-quality-assessment-method-for-compressed-images-using-deep-learning/ 1 comment
- Researchers at Apple developed Fairness Optimized Reweighting via Meta-Learning (FORML), a Machine Learning Training Algorithm that balances Fairness and Robustness with Accuracy by jointly learning training sample Weights and Neural Network Parameters - MarkTechPost https://www.marktechpost.com/2022/08/30/researchers-at-apple-developed-fairness-optimized-reweighting-via-meta-learning-forml-a-machine-learning-training-algorithm-that-balances-fairness-and-robustness-with-accuracy-by-jointly-learning-t/ 0 comments
- Here is Another Breakthrough in Text-to-Image Synthesis, Called StoryDALL-E, Which Adapts Pretrained Text-to-Image Transformers for Story Continuation - MarkTechPost https://www.marktechpost.com/2022/09/18/here-is-another-breakthrough-in-text-to-image-synthesis-called-storydall-e-which-adapts-pretrained-text-to-image-transformers-for-story-continuation/ 0 comments
- An Interview Study by UC Berkeley Researchers Explain the Process of Operationalizing Machine Learning or MLOps that Expose Variables that Govern the Success of Machine Learning Models in Deployment - MarkTechPost https://www.marktechpost.com/2022/09/26/an-interview-study-by-uc-berkeley-researchers-explain-the-process-of-operationalizing-machine-learning-or-mlops-that-expose-variables-that-govern-the-success-of-machine-learning-models-in-deployment/ 0 comments
- Latest Machine Learning Research at MIT Presents a Novel 'Poisson Flow' Generative Model (PFGM) That Maps any Data Distribution into a Uniform Distribution on a High-Dimensional Hemisphere - MarkTechPost https://www.marktechpost.com/2022/10/01/latest-machine-learning-research-at-mit-presents-a-novel-poisson-flow-generative-model-pfgm-that-maps-any-data-distribution-into-a-uniform-distribution-on-a-high-dimensional-hemisphere/ 0 comments
- Baidu Proposes ERNIE-VIL 2.0, a Multi-View Contrastive Learning Framework That Aims To Acquire A More Robust Cross-Modal Representation By Concurrently Building Intra-Modal And Inter-Modal Correlations Between Distinct Views - MarkTechPost https://www.marktechpost.com/2022/10/08/baidu-proposes-ernie-vil-2-0-a-multi-view-contrastive-learning-framework-that-aims-to-acquire-a-more-robust-cross-modal-representation-by-concurrently-building-intra-modal-and-inter-modal-correlation/ 0 comments
Linked pages
- Google Researchers Propose a Perceptual Image Quality Assessment Method for Compressed Images Using Deep Learning - MarkTechPost https://www.marktechpost.com/2022/10/24/google-researchers-propose-a-perceptual-image-quality-assessment-method-for-compressed-images-using-deep-learning/ 1 comment
- This Artificial Intelligence AI Research Proposes A Novel NIR-VIS Face Generation Method To Address The Problem of Insufficient NIR-VIS Data For The Cross-Modality Face Recognition Network Training - MarkTechPost https://www.marktechpost.com/2022/11/15/this-artificial-intelligence-ai-research-proposes-a-novel-nir-vis-face-generation-method-to-address-the-problem-of-insufficient-nir-vis-data-for-the-cross-modality-face-recognition-network-training/ 1 comment
- Computer Science Researchers at Bytedance Developed Monolith: a Collisionless Optimised Embedding Table for Deep Learning-Based Real-Time Recommendations in a Memory-Efficient Way - MarkTechPost https://www.marktechpost.com/2022/11/14/computer-science-researchers-at-bytedance-developed-monolith-a-collisionless-optimised-embedding-table-for-deep-learning-based-real-time-recommendations-in-a-memory-efficient-way/ 0 comments