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Found 6 papers, 2 papers with code
Variational Sampling of Temporal Trajectories
In this work, we introduce a mechanism to learn the distribution of trajectories by parameterizing the transition function $f$ explicitly as an element in a function space.
Multi Resolution Analysis (MRA) for Approximate Self-Attention
Transformers have emerged as a preferred model for many tasks in natural langugage processing and vision.
Deep Unlearning via Randomized Conditionally Independent Hessians
For models which require no training (k-NN), simply deleting the closest original sample can be effective.
Effective Theory of Inflationary Magnetogenesis and Constraints on Reheating
Effective theory framework based on symmetry has recently gained widespread interest in the field of cosmology.
High Energy Physics - Theory Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology
Visual Attention for Behavioral Cloning in Autonomous Driving
The first method is a supervised learning approach in which we collect eye-gaze data for the task of driving and use this to train a model for predicting the attention map.
Saliency Prediction for Mobile User Interfaces
However, given the difference in what constitutes a mobile interface, and the usage context of these devices, we postulate that saliency prediction for mobile interface images requires a fresh approach.
