no code implementations • 10 Sep 2022 • Shakti Kumar, Anuj Kumar
In recent years, the detection of melanoma using image processing techniques has become a dominant research field.
no code implementations • 11 Apr 2022 • Shakti Kumar, Hussain Zaidi
Few shot learning is an important problem in machine learning as large labelled datasets take considerable time and effort to assemble.
no code implementations • 29 Sep 2021 • Shakti Kumar, Hussain Asim Zaidi
Few shot learning is an important problem in machine learning as large labelled datasets take considerable time and effort to assemble.
no code implementations • Findings (ACL) 2021 • Shakti Kumar, Jithin Pradeep, Hussain Zaidi
State-of-the-art Variational Auto-Encoders (VAEs) for learning disentangled latent representations give impressive results in discovering features like pitch, pause duration, and accent in speech data, leading to highly controllable text-to-speech (TTS) synthesis.
1 code implementation • 18 Apr 2020 • Jerrod Parker, Shakti Kumar, Joe Roussy
Recent developments in Transformers for language modeling have opened new areas of research in computer vision.
1 code implementation • 8 Apr 2020 • Shakti Kumar, Jerrod Parker, Panteha Naderian
In this work we first partially replicate the results shown in Stabilizing Transformers in RL on both reactive and memory based environments.
Partially Observable Reinforcement Learning reinforcement-learning +1
no code implementations • 11 Jul 2013 • Sharad Sharma, Shakti Kumar, Brahmjit Singh
Based upon this distance (cost) between two adjacent nodes we evaluate minimal shortest path that updates routing tables.
no code implementations • 11 Jul 2013 • Shakti Kumar, Brahmjit Singh, Sharad Sharma
Dynamic behaviour of a WMN imposes stringent constraints on the routing policy of the network.