activity
20182023
most citedRotate to Attend: Convolutional Triplet Attention Module

53 citations · 75 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023

Uncovering the Hidden Cost of Model Compression

Diganta Misra, Muawiz Chaudhary, Agam Goyal +2

In an age dominated by resource-intensive foundation models, the ability to efficiently adapt to downstream tasks is crucial. Visual Prompting (VP), drawing inspiration from the pr…

cs.LG2022★ 2 cited

Challenging Common Assumptions about Catastrophic Forgetting

Timothée Lesort, Oleksiy Ostapenko, Diganta Misra +4

Building learning agents that can progressively learn and accumulate knowledge is the core goal of the continual learning (CL) research field. Unfortunately, training a model on ne…

cs.LG2022

APP: Anytime Progressive Pruning

Diganta Misra, Bharat Runwal, Tianlong Chen +2

With the latest advances in deep learning, there has been a lot of focus on the online learning paradigm due to its relevance in practical settings. Although many methods have been…

cs.CV2020★ 53 cited

Rotate to Attend: Convolutional Triplet Attention Module

Diganta Misra, Trikay Nalamada, Ajay Uppili Arasanipalai +1

Benefiting from the capability of building inter-dependencies among channels or spatial locations, attention mechanisms have been extensively studied and broadly used in a variety…

cs.LG2019★ 18 cited

Mish: A Self Regularized Non-Monotonic Activation Function

Diganta Misra

We propose , a novel self-regularized non-monotonic activation function which can be mathematically defined as: . As activation functions p…

cs.CV2018

Advanced Image Processing for Astronomical Images

Diganta Misra, Sparsha Mishra, Bhargav Appasani

Image Processing in Astronomy is a major field of research and involves a lot of techniques pertaining to improve analyzing the properties of the celestial objects or obtaining pre…