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Found 5 papers, 5 papers with code
Accurate Differential Operators for Hybrid Neural Fields
Yet in many applications like rendering and simulation, hybrid neural fields can cause noticeable and unreasonable artifacts.
Distance Learner: Incorporating Manifold Prior to Model Training
The manifold hypothesis (real world data concentrates near low-dimensional manifolds) is suggested as the principle behind the effectiveness of machine learning algorithms in very high dimensional problems that are common in domains such as vision and speech.
Retweet Us, We Will Retweet You: Spotting Collusive Retweeters Involved in Blackmarket Services
Thus they become customers of blackmarket syndicates and engage in fake activities.
Social and Information Networks
Generating Clues for Gender based Occupation De-biasing in Text
Vast availability of text data has enabled widespread training and use of AI systems that not only learn and predict attributes from the text but also generate text automatically.
