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Mofassir ul Islam Arif
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2020 – today
- 2023
- [c6]Mofassir ul Islam Arif, Johannes Burchert, Lars Schmidt-Thieme:
ConvMix: Combining Intermediate Latent Features in Deep Convolutional Neural Networks. SCIA (2) 2023: 156-174 - [i4]Mofassir ul Islam Arif, Mohsan Jameel, Lars Schmidt-Thieme:
Directly Optimizing IoU for Bounding Box Localization. CoRR abs/2304.07256 (2023) - [i3]Mofassir ul Islam Arif, Mohsan Jameel, Josif Grabocka, Lars Schmidt-Thieme:
Phantom Embeddings: Using Embedding Space for Model Regularization in Deep Neural Networks. CoRR abs/2304.07262 (2023) - 2022
- [i2]Shayan Jawed, Mofassir ul Islam Arif, Ahmed Rashed, Kiran Madhusudhanan, Shereen Elsayed, Mohsan Jameel, Alexei Volk, Andre Hintsches, Marlies Kornfeld, Katrin Lange, Lars Schmidt-Thieme:
A.I. and Data-Driven Mobility at Volkswagen Financial Services AG. CoRR abs/2202.04411 (2022) - 2021
- [i1]Yongho Kim, Hanna Lukashonak, Paweena Tarepakdee, Klavdia Zavalich, Mofassir ul Islam Arif:
Disturbing Target Values for Neural Network Regularization. CoRR abs/2110.05003 (2021) - 2020
- [c5]Mofassir ul Islam Arif, Mohsan Jameel, Josif Grabocka, Lars Schmidt-Thieme:
Phantom Embeddings: Using Embeddings Space for Model Regularization in Deep Neural Networks. LWDA 2020: 47-58 - [c4]Mohsan Jameel, Mofassir ul Islam Arif, Andre Hintsches, Lars Schmidt-Thieme:
Automation of Leasing Vehicle Return Assessment Using Deep Learning Models. ECML/PKDD (4) 2020: 259-274
2010 – 2019
- 2019
- [c3]Mofassir ul Islam Arif, Mohsan Jameel, Lars Schmidt-Thieme:
Directly Optimizing IoU for Bounding Box Localization. ACPR (1) 2019: 544-556 - [c2]Mohsan Jameel, Josif Grabocka, Mofassir ul Islam Arif, Lars Schmidt-Thieme:
Ring-Star: A Sparse Topology for Faster Model Averaging in Decentralized Parallel SGD. PKDD/ECML Workshops (1) 2019: 333-341 - 2016
- [c1]Nicholas Wakou, Michael Woodside, Arkady Kanevsky, Fazal E. Rehman Khan, Mofassir ul Islam Arif:
TPCx-HS on the Cloud! TPCTC 2016: 7-23
Coauthor Index
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