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1. Revealing the Utilized Rank of Subspaces of Learning in Neural Networks

2. Pruning for Improved ADC Efficiency in Crossbar-based Analog In-memory Accelerators

3. Memorization Through the Lens of Curvature of Loss Function Around Samples

6. TOFU: Towards Obfuscated Federated Updates by Encoding Weight Updates into Gradients from Proxy Data

7. Encoding Hierarchical Information in Neural Networks helps in Subpopulation Shift

9. Spatio-Temporal Pruning and Quantization for Low-latency Spiking Neural Networks

10. Gradient Projection Memory for Continual Learning

11. Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection

12. DCT-SNN: Using DCT to Distribute Spatial Information over Time for Learning Low-Latency Spiking Neural Networks

13. TREND: Transferability based Robust ENsemble Design

14. SPACE: Structured Compression and Sharing of Representational Space for Continual Learning

16. Constructing Energy-efficient Mixed-precision Neural Networks through Principal Component Analysis for Edge Intelligence

18. Higher dose corticosteroids in patients admitted to hospital with COVID-19 who are hypoxic but not requiring ventilatory support (RECOVERY): a randomised, controlled, open-label, platform trial

19. A Low Effort Approach to Structured CNN Design Using PCA

20. Baricitinib in patients admitted to hospital with COVID-19 (RECOVERY): a randomised, controlled, open-label, platform trial and updated meta-analysis

22. Evaluation of efficacy of oral ivabradine for attenuation of hemodynamic response to intubation in hypertensive surgical patients: Effect on rate pressure product as an index of myocardial oxygen demand.

28. Nitrogen clusters inside C60 cage and new nanoscale energetic materials

30. Indigenous communities and sustainable development: A review and research agenda.

47. Enhancing Efficiency and Trustworthiness of Deep Learning Algorithms

49. Electronic Retailing: Mapping the past for informing the future.

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