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Mohd. Arshad

11 papers hereh-index 5137 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author11

Across the 11 of 11 papers where every author was matched, so the position is known.

fields
  • cs.LG10
  • cs.CV1
same name
  • Mohd. Arshad — 6 papers, h 13
  • Mohd. Arshad — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedRoBoSS: A Robust, Bounded, Sparse, and Smooth Loss Function for Supervised Learning

42 citations · 84 across the 10 of their papers we have counts for

collaborators
Showing 2026 · cs.LGShow all

4 papers · 2 filters

cs.LG2026

Bounded Adjustment with Reliability-Guided Embedding for Imbalanced Learning with Noisy Labels

Mushir Akhtar, Akarsh J., M. Tanveer +1

Class-balanced learning and label noise create a coupled failure mode: frequency correction prevents majority classes from dominating the decision rule, but can amplify incorrectly…

cs.LG2026

Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty

Mushir Akhtar, A. Varshney, A. Quadir +3

Broad Learning System (BLS) offers an efficient alternative to deep architectures by enabling fast learning through randomized feature mapping and closed-form solutions. However, i…

cs.LG2026

Residual-Guided Randomized Neural Networks

Mushir Akhtar, M. Tanveer, Mohd. Arshad

Randomized neural networks enable fast and analytically tractable training by fixing the input to hidden layer parameters at random and learning the output weights in closed form;…

cs.LG2026

CAWI: Copula-Aligned Weight Initialization for Randomized Neural Networks

Mushir Akhtar, M. Tanveer, Mohd. Arshad

Randomized neural networks (RdNNs) enable efficient, backpropagation-free training by freezing randomly initialized input-to-hidden weights, which permits a closed-form solution fo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.