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Moin Nabi

35 papers hereh-index 275.2k citations86 works total

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

author position
  • sole author1
  • middle author16
  • last author18

Across the 35 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV24
  • cs.CL7
  • cs.CR1
  • cs.LG1
  • cs.NE1
  • eess.IV1
same name
  • Moin Nabi — 13 papers, h 4

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
20152023
most citedDifferentially Private Federated Learning: A Client Level Perspective

510 citations · 972 across the 24 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021

A Unified Objective for Novel Class Discovery

Enrico Fini, Enver Sangineto, Stéphane Lathuilière +3

In this paper, we study the problem of Novel Class Discovery (NCD). NCD aims at inferring novel object categories in an unlabeled set by leveraging from prior knowledge of a labele…

cs.CL2021

Attention-based Contrastive Learning for Winograd Schemas

Tassilo Klein, Moin Nabi

Self-supervised learning has recently attracted considerable attention in the NLP community for its ability to learn discriminative features using a contrastive objective. This pap…

cs.CL2021

Towards Zero-shot Commonsense Reasoning with Self-supervised Refinement of Language Models

Tassilo Klein, Moin Nabi

Can we get existing language models and refine them for zero-shot commonsense reasoning? This paper presents an initial study exploring the feasibility of zero-shot commonsense rea…

cs.CV2021★ 42 cited

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

Victor G. Turrisi da Costa, Enrico Fini, Moin Nabi +2

This paper presents solo-learn, a library of self-supervised methods for visual representation learning. Implemented in Python, using Pytorch and Pytorch lightning, the library fit…

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