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ORCIDEkdeep Singh Lubana
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2020 – today
- 2022
[c10]Ekdeep Singh Lubana, Puja Trivedi, Danai Koutra, Robert P. Dick:
How do Quadratic Regularizers Prevent Catastrophic Forgetting: The Role of Interpolation. CoLLAs 2022: 819-837- [c9]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. ICML 2022: 14461-14484 - [c8]Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan:
Analyzing Data-Centric Properties for Graph Contrastive Learning. NeurIPS 2022 - [c7]Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra:
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. WWW 2022: 1538-1549 - [i9]Ekdeep Singh Lubana, Chi Ian Tang, Fahim Kawsar, Robert P. Dick, Akhil Mathur:
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering. CoRR abs/2205.11506 (2022) - [i8]Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan:
Analyzing Data-Centric Properties for Contrastive Learning on Graphs. CoRR abs/2208.02810 (2022) - [i7]Ziyin Liu, Ekdeep Singh Lubana, Masahito Ueda, Hidenori Tanaka:
What shapes the loss landscape of self-supervised learning? CoRR abs/2210.00638 (2022) - [i6]Ekdeep Singh Lubana, Eric J. Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka:
Mechanistic Mode Connectivity. CoRR abs/2211.08422 (2022) - 2021
- [c6]Ekdeep Singh Lubana, Robert P. Dick:
A Gradient Flow Framework For Analyzing Network Pruning. ICLR 2021 - [c5]Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning. NeurIPS 2021: 4778-4791 - [i5]Ekdeep Singh Lubana, Puja Trivedi, Robert P. Dick:
Rethinking Quadratic Regularizers: Explicit Movement Regularization for Continual Learning. CoRR abs/2102.02805 (2021) - [i4]Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka:
Beyond BatchNorm: Towards a General Understanding of Normalization in Deep Learning. CoRR abs/2106.05956 (2021) - [i3]Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra:
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices. CoRR abs/2111.03220 (2021) - 2020
- [c4]Benjamin Simpson, Ekdeep Singh Lubana, Yuchen Liu, Robert P. Dick:
Intelligent Scene Caching to Improve Accuracy for Energy-Constrained Embedded Vision. CVPR Workshops 2020: 3114-3122 - [i2]Ekdeep Singh Lubana, Puja Trivedi, Conrad D. Hougen, Robert P. Dick, Alfred O. Hero III:
OrthoReg: Robust Network Pruning Using Orthonormality Regularization. CoRR abs/2009.05014 (2020) - [i1]Ekdeep Singh Lubana, Robert P. Dick:
A Gradient Flow Framework For Analyzing Network Pruning. CoRR abs/2009.11839 (2020)
2010 – 2019
- 2019
- [c3]Ekdeep Singh Lubana, Vinayak Aggarwal, Robert P. Dick:
Machine Foveation: An Application-Aware Compressive Sensing Framework. DCC 2019: 478-487 - [c2]Ekdeep Singh Lubana, Robert P. Dick, Vinayak Aggarwal, Pyari Mohan Pradhan:
Minimalistic Image Signal Processing for Deep Learning Applications. ICIP 2019: 4165-4169 - 2018
- [j1]Ekdeep Singh Lubana
, Robert P. Dick:
Digital Foveation: An Energy-Aware Machine Vision Framework. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(11): 2371-2380 (2018) - [c1]Ekdeep Singh Lubana, Mangesh Gurav, Maryam Shojaei Baghini:
Snap: Chlorophyll Concentration Calculator Using RAW Images of Leaves. IEEE SENSORS 2018: 1-4
Coauthor Index
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