23 citations · 35 across the 10 of their papers we have counts for
6 papers · 1 filter
Leveraging Angular Distributions for Improved Knowledge Distillation
Eun Som Jeon, Hongjun Choi, Ankita Shukla +1
Knowledge distillation as a broad class of methods has led to the development of lightweight and memory efficient models, using a pre-trained model with a large capacity (teacher n…
Domain Alignment Meets Fully Test-Time Adaptation
Kowshik Thopalli, Pavan Turaga, Jayaraman J. Thiagarajan
A foundational requirement of a deployed ML model is to generalize to data drawn from a testing distribution that is different from training. A popular solution to this problem is…
Diversity Promoting Online Sampling for Streaming Video Summarization
Rushil Anirudh, Ahnaf Masroor, Pavan Turaga
Many applications benefit from sampling algorithms where a small number of well chosen samples are used to generalize different properties of a large dataset. In this paper, we use…
Reconstruction-free action inference from compressive imagers
Kuldeep Kulkarni, Pavan Turaga
Persistent surveillance from camera networks, such as at parking lots, UAVs, etc., often results in large amounts of video data, resulting in significant challenges for inference i…
Interactively Test Driving an Object Detector: Estimating Performance on Unlabeled Data
Rushil Anirudh, Pavan Turaga
In this paper, we study the problem of `test-driving' a detector, i.e. allowing a human user to get a quick sense of how well the detector generalizes to their specific requirement…
Geometry-based Adaptive Symbolic Approximation for Fast Sequence Matching on Manifolds
Rushil Anirudh, Pavan Turaga
In this paper, we consider the problem of fast and efficient indexing techniques for sequences evolving in non-Euclidean spaces. This problem has several applications in the areas…