31 citations · 49 across the 19 of their papers we have counts for
3 papers · 1 filter
Interactive Concept Bottleneck Models
Kushal Chauhan, Rishabh Tiwari, Jan Freyberg +2
Concept bottleneck models (CBMs) are interpretable neural networks that first predict labels for human-interpretable concepts relevant to the prediction task, and then predict the…
On Designing Light-Weight Object Trackers through Network Pruning: Use CNNs or Transformers?
Saksham Aggarwal, Taneesh Gupta, Pawan Kumar Sahu +4
Object trackers deployed on low-power devices need to be light-weight, however, most of the current state-of-the-art (SOTA) methods rely on using compute-heavy backbones built usin…
Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning
Arnav Chavan, Rishabh Tiwari, Udbhav Bamba +1
Gradient based meta-learning methods are prone to overfit on the meta-training set, and this behaviour is more prominent with large and complex networks. Moreover, large networks r…