Priyadarshini Panda
12 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
🏆
Grand Slam
💎
Century Club · Bronze
Top co-authors
Research topics
Deep Learning
(5)
Architectures
(5)
Machine Learning
(4)
Optimization & Theory · Machine Learning
(3)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI · Artificial Intelligence
(2)
Core Methods
(2)
Computer Vision
(1)
Security & Privacy
(1)
Core AI · Computer Vision
(1)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Privacy
(1)
Techniques
(1)
Keywords
spiking neural network
(5)
quantization
(1)
transformer architecture
(1)
image classification
(1)
reinforcement learning
(1)
neuromorphic computing
(1)
network pruning
(1)
transformer
(1)
temporal information
(1)
privacy-preserving learning
(1)
energy efficiency
(1)
neuromorphic hardware
(1)
fisher information
(1)
early exit
(1)
privacy preserving
(1)
spike-timing-dependent plasticity
(1)
temporal learning
(1)
surrogate gradient
(1)
model conversion
(1)
ann-snn conversion
(1)
Papers
GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration
ICML 2025
Spiking Transformer with Spatial-Temporal Attention
CVPR 2025
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
ECCV 2024
One-stage Prompt-based Continual Learning
ECCV 2024
Exploring Temporal Information Dynamics in Spiking Neural Networks
AAAI 2023
SEENN: Towards Temporal Spiking Early Exit Neural Networks
NeurIPS 2023
Exploring Lottery Ticket Hypothesis in Spiking Neural Networks
ECCV 2022
Neural Architecture Search for Spiking Neural Networks
ECCV 2022
Neuromorphic Data Augmentation for Training Spiking Neural Networks
ECCV 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks
AAAI 2022
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
ICLR 2020
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
ECCV 2020