Priyadarshini Panda
12 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (6) π Academic Marathon (5) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (15)
π
Academic Marathon
(5)
π
Renaissance Researcher
(5)
π
Interdisciplinary Bridge
π
Grand Slam
π
Trend Setter
π
Century Club
(12)
Conferences
ECCV (6)
AAAI (2)
CVPR (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Research topics
Keywords
spiking neural network
(4)
transformer architecture
(1)
reinforcement learning
(1)
neuromorphic computing
(1)
network pruning
(1)
temporal information
(1)
privacy-preserving learning
(1)
energy efficiency
(1)
fisher information
(1)
early exit
(1)
privacy preserving
(1)
temporal learning
(1)
model conversion
(1)
ann-snn conversion
(1)
temporal processing
(1)
energy-efficient computing
(1)
confidence threshold
(1)
iterative pruning
(1)
weight encryption
(1)
spatial-temporal attention
(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
SEENN: Towards Temporal Spiking Early Exit Neural Networks
NIPS 2023
Exploring Temporal Information Dynamics in Spiking Neural Networks
AAAI 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
Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations
ECCV 2020
Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation
ICLR 2020