Model sparsity can simplify machine unlearning
In response to recent data regulation requirements, machine unlearning (MU) has emerged
as a critical process to remove the influence of specific examples from a given model …
as a critical process to remove the influence of specific examples from a given model …
Text-visual prompting for efficient 2d temporal video grounding
In this paper, we study the problem of temporal video grounding (TVG), which aims to predict
the starting/ending time points of moments described by a text sentence within a long …
the starting/ending time points of moments described by a text sentence within a long …
Design and Thermal Analysis of 2.5 D and 3D Integrated System of a CMOS Image Sensor and a Sparsity-Aware Accelerator for Autonomous Driving
For the autonomous driving application, data movement has increased rapidly between a
CMOS Image sensor (CIS) and the processor due to increase in image resolution. Advanced …
CMOS Image sensor (CIS) and the processor due to increase in image resolution. Advanced …
Thermal modeling of 2.5 D integrated package of CMOS image sensor and FPGA for autonomous driving
Deep learning algorithms for autonomous driving require significant data movement
between the camera and the processor. We propose using 2.5 D integration of a CMOS …
between the camera and the processor. We propose using 2.5 D integration of a CMOS …
[PDF][PDF] A Model for Reduction of Time and Space Complexity on Edge Devices
OE Taylor, BB Christy, VIE Anireh - International Journal, 2024 - academia.edu
In the realm of edge computing, a paradigm emphasizing decentralized computational tasks,
the interplay between time and space complexity holds immense significance. Time …
the interplay between time and space complexity holds immense significance. Time …