Panda, Priyadarshini

18 publications

TMLR 2025 Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda

NeurIPS 2025 DuoGPT: Training-Free Dual Sparsity Through Activation-Aware Pruning in LLMs Ruokai Yin, Yuhang Li, Donghyun Lee, Priyadarshini Panda

TMLR 2025 Fast and Cost-Effective Speculative Edge-Cloud Decoding with Early Exits Yeshwanth Venkatesha, Souvik Kundu, Priyadarshini Panda

ICML 2025 GPTAQ: Efficient Finetuning-Free Quantization for Asymmetric Calibration Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda

NeurIPS 2025 OpenWorldSAM: Extending SAM2 for Universal Image Segmentation with Language Prompts Shiting Xiao, Rishabh Kabra, Yuhang Li, Donghyun Lee, Joao Carreira, Priyadarshini Panda

CVPR 2025 Spiking Transformer with Spatial-Temporal Attention Donghyun Lee, Yuhang Li, Youngeun Kim, Shiting Xiao, Priyadarshini Panda

ECCV 2024 GenQ: Quantization in Low Data Regimes with Generative Synthetic Data Yuhang Li, Youngeun Kim, Donghyun Lee, Souvik Kundu, Priyadarshini Panda

ECCV 2024 One-Stage Prompt-Based Continual Learning Youngeun Kim, Yuhang Li, Priyadarshini Panda

AAAI 2023 Exploring Temporal Information Dynamics in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Anna Hambitzer, Priyadarshini Panda

NeurIPS 2023 SEENN: Towards Temporal Spiking Early Exit Neural Networks Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda

TMLR 2023 Uncovering the Representation of Spiking Neural Networks Trained with Surrogate Gradient Yuhang Li, Youngeun Kim, Hyoungseob Park, Priyadarshini Panda

ECCV 2022 Exploring Lottery Ticket Hypothesis in Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Ruokai Yin, Priyadarshini Panda

ECCV 2022 Neural Architecture Search for Spiking Neural Networks Youngeun Kim, Yuhang Li, Hyoungseob Park, Yeshwanth Venkatesha, Priyadarshini Panda

ECCV 2022 Neuromorphic Data Augmentation for Training Spiking Neural Networks Yuhang Li, Youngeun Kim, Hyoungseob Park, Tamar Geller, Priyadarshini Panda

AAAI 2022 PrivateSNN: Privacy-Preserving Spiking Neural Networks Youngeun Kim, Yeshwanth Venkatesha, Priyadarshini Panda

NeurIPSW 2022 Wearable-Based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks Yuhang Li, Ruokai Yin, Hyoungseob Park, Youngeun Kim, Priyadarshini Panda

ICLR 2020 Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation Nitin Rathi, Gopalakrishnan Srinivasan, Priyadarshini Panda, Kaushik Roy

ECCV 2020 Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-Linear Activations Saima Sharmin, Nitin Rathi, Priyadarshini Panda, Kaushik Roy