Aroof Aimen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Set Covering Problem

Top Venues

IEEE Trans. Artif. Intell.

Publications

Aroof Aimen, Sahil Sidheekh, Bharat Ladrecha, Hansin Ahuja, Narayanan C. Krishnan
Adaptation: Blessing or Curse for Higher Way Meta-Learning. IEEE Trans. Artif. Intell. 5 (4) (2024)
Aroof Aimen, Arsh Verma, Makarand Tapaswi, Narayanan C. Krishnan
Generalized Cross-domain Multi-label Few-shot Learning for Chest X-rays. CoRR (2023)
Aroof Aimen, Bharat Ladrecha, Sahil Sidheekh, Narayanan C. Krishnan
Leveraging Task Variability in Meta-learning. SN Comput. Sci. 4 (5) (2023)
Aroof Aimen, Bharat Ladrecha, Narayanan C. Krishnan
Adversarial Projections to Tackle Support-Query Shifts in Few-Shot Meta-Learning. ECML/PKDD (3) (2022)
Aroof Aimen, Sahil Sidheekh, Narayanan C. Krishnan
Task Attended Meta-Learning for Few-Shot Learning. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
On Characterizing GAN Convergence Through Proximal Duality Gap. ICML (2021)
Sahil Sidheekh, Aroof Aimen, Narayanan C. Krishnan
Characterizing GAN Convergence Through Proximal Duality Gap. CoRR (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. MetaDL@AAAI (2021)
Aroof Aimen, Sahil Sidheekh, Vineet Madan, Narayanan C. Krishnan
Stress Testing of Meta-learning Approaches for Few-shot Learning. CoRR (2021)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. IJCNN (2021)
Sahil Sidheekh, Aroof Aimen, Vineet Madan, Narayanan C. Krishnan
On Duality Gap as a Measure for Monitoring GAN Training. CoRR (2020)
Aroof Aimen, Amandeep Kaur, Sahil Sidheekh
Scale Invariant Fast PHT based Copy-Move Forgery Detection. ICCCNT (2020)