91 results on '"Panda, Priyadarshini"'
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2. Rethinking skip connections in Spiking Neural Networks with Time-To-First-Spike coding
3. Neuromorphic Data Augmentation for Training Spiking Neural Networks
4. Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
5. Assortment of Attention Heads: Accelerating Federated Peft with Head Pruning and Strategic Client Selection
6. Divide-and-conquer the NAS puzzle in resource-constrained federated learning systems
7. SpikeSim: An End-to-End Compute-in-Memory Hardware Evaluation Tool for Benchmarking Spiking Neural Networks
8. Efficient human activity recognition with spatio-temporal spiking neural networks
9. Overview of Recent Advancements in Deep Learning and Artificial Intelligence
10. Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations
11. Sharing leaky-integrate-and-fire neurons for memory-efficient spiking neural networks
12. XploreNAS : Explore Adversarially Robust and Hardware-efficient Neural Architectures for Non-ideal Xbars
13. Editorial: Focus on Algorithms for Neuromorphic Computing
14. XPert: Peripheral Circuit & Neural Architecture Co-search for Area and Energy-efficient Xbar-based Computing
15. Input-Aware Dynamic Timestep Spiking Neural Networks for Efficient In-Memory Computing
16. Hardware Accelerators for Spiking Neural Networks for Energy-Efficient Edge Computing
17. Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing
18. SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks
19. SwitchX : Gmin-Gmax Switching for Energy-efficient and Robust Implementation of Binarized Neural Networks on ReRAM Xbars
20. HyDe: A Hybrid PCM/FeFET/SRAM Device-search for Optimizing Area and Energy-efficiencies in Analog IMC Platforms
21. Digitisation of teaching and learning of English Language
22. Divide-and-Conquer the NAS Puzzle in Resource Constrained Federated Learning Systems
23. Exploring the Effectiveness of Workplace Spirituality and Mindfulness Interventions: A Systematic Literature Review
24. Beyond classification: directly training spiking neural networks for semantic segmentation
25. Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware
26. The Dark Triad Personality on Leader’s Perspective; A Complete Review Paper
27. Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars
28. MIME
29. PrivateSNN: Privacy-Preserving Spiking Neural Networks
30. RAPID-RL: A Reconfigurable Architecture with Preemptive-Exits for Efficient Deep-Reinforcement Learning
31. Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks?
32. 2022 roadmap on neuromorphic computing and engineering
33. Noise Sensitivity-Based Energy Efficient and Robust Adversary Detection in Neural Networks
34. Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar
35. Examining and Mitigating the Impact of Crossbar Non-idealities for Accurate Implementation of Sparse Deep Neural Networks
36. Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch
37. Domain Adaptation Without Source Data
38. Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing
39. DetectX—Adversarial Input Detection Using Current Signatures in Memristive XBar Arrays
40. Visual explanations from spiking neural networks using inter-spike intervals
41. Implicit adversarial data augmentation and robustness with Noise-based Learning
42. Neural Computing With Magnetoelectric Domain-Wall-Based Neurosynaptic Devices
43. Activation Density based Mixed-Precision Quantization for Energy Efficient Neural Networks
44. Efficiency-driven Hardware Optimization for Adversarially Robust Neural Networks
45. Activation Density Driven Efficient Pruning in Training
46. Federated Learning With Spiking Neural Networks
47. QUANOS
48. Enabling Homeostasis using Temporal Decay Mechanisms in Spiking CNNs Trained with Unsupervised Spike Timing Dependent Plasticity
49. Energy-efficient and Robust Cumulative Training with Net2Net Transformation
50. Pruning Filters while Training for Efficiently Optimizing Deep Learning Networks
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