Youngeun Kim

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All published works
Action Title Year Authors
+ PDF Chat Open-World Dynamic Prompt and Continual Visual Representation Learning 2024 Youngeun Kim
Jun Fang
Qin Zhang
Zhaowei Cai
Yantao Shen
Rahul Duggal
Dripta S. Raychaudhuri
Zhuowen Tu
Yifan Xing
Onkar Dabeer
+ PDF Chat TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing 2024 Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
+ PDF Chat LoAS: Fully Temporal-Parallel Datatflow for Dual-Sparse Spiking Neural Networks 2024 Ruokai Yin
Youngeun Kim
Di Wu
Priyadarshini Panda
+ PDF Chat Workload-Balanced Pruning for Sparse Spiking Neural Networks 2024 Ruokai Yin
Youngeun Kim
Yuhang Li
Abhishek Moitra
Nitin Satpute
Anna Hambitzer
Priyadarshini Panda
+ PDF Chat TT-SNN: Tensor Train Decomposition for Efficient Spiking Neural Network Training 2024 Dong‐Hyun Lee
Ruokai Yin
Youngeun Kim
Abhishek Moitra
Yuhang Li
Priyadarshini Panda
+ PDF Chat RobustEdge: Low Power Adversarial Detection for Cloud-Edge Systems 2024 Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
+ PDF Chat Examining the Role and Limits of Batchnorm Optimization to Mitigate Diverse Hardware-noise in In-memory Computing 2023 Abhiroop Bhattacharjee
Abhishek Moitra
Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
+ StableQ: Enhancing Data-Scarce Quantization with Text-to-Image Data 2023 Yuhang Li
Youngeun Kim
Donghyun Lee
Priyadarshini Panda
+ PDF Chat Beyond classification: directly training spiking neural networks for semantic segmentation 2022 Youngeun Kim
Joshua Chough
Priyadarshini Panda
+ PDF Chat Examining the Robustness of Spiking Neural Networks on Non-ideal Memristive Crossbars 2022 Abhiroop Bhattacharjee
Youngeun Kim
Abhishek Moitra
Priyadarshini Panda
+ PDF Chat Rate Coding Or Direct Coding: Which One Is Better For Accurate, Robust, And Energy-Efficient Spiking Neural Networks? 2022 Youngeun Kim
Hyoungseob Park
Abhishek Moitra
Abhiroop Bhattacharjee
Yeshwanth Venkatesha
Priyadarshini Panda
+ PDF Chat Gradient-based Bit Encoding Optimization for Noise-Robust Binary Memristive Crossbar 2022 Youngeun Kim
Hyun-Soo Kim
Seijoon Kim
Sang Joon Kim
Priyadarshini Panda
+ PDF Chat Neuromorphic Data Augmentation for Training Spiking Neural Networks 2022 Yuhang Li
Youngeun Kim
Hyoungseob Park
Tamar Geller
Priyadarshini Panda
+ PDF Chat Neural Architecture Search for Spiking Neural Networks 2022 Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Priyadarshini Panda
+ PDF Chat Exploring Lottery Ticket Hypothesis in Spiking Neural Networks 2022 Youngeun Kim
Yuhang Li
Hyoungseob Park
Yeshwanth Venkatesha
Ruokai Yin
Priyadarshini Panda
+ Domain Adaptation Without Source Data 2021 Youngeun Kim
Donghyeon Cho
Kyeongtak Han
Priyadarshini Panda
Sungeun Hong
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks 2018 Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Luping Shi
8
+ PDF Chat Going Deeper With Directly-Trained Larger Spiking Neural Networks 2021 Hanle Zheng
Yujie Wu
Lei Deng
Yifan Hu
Guoqi Li
7
+ PDF Chat Deep Residual Learning for Image Recognition 2016 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
6
+ Direct Training for Spiking Neural Networks: Faster, Larger, Better 2019 Yujie Wu
Lei Deng
Guoqi Li
Jun Zhu
Yuan Xie
Luping Shi
6
+ PDF Chat Training Deep Spiking Neural Networks Using Backpropagation 2016 Jun Haeng Lee
Tobi DelbrĂŒck
Michael Pfeiffer
5
+ PDF Chat Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks 2021 Wei Fang
Zhaofei Yu
Yanqi Chen
Timothée Masquelier
Tiejun Huang
Yonghong Tian
5
+ PDF Chat Revisiting Batch Normalization for Training Low-Latency Deep Spiking Neural Networks From Scratch 2021 Youngeun Kim
Priyadarshini Panda
5
+ PDF Chat Going Deeper in Spiking Neural Networks: VGG and Residual Architectures 2019 Abhronil Sengupta
Yuting Ye
Robert Wang
Chiao Liu
Kaushik Roy
4
+ Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift 2015 Sergey Ioffe
Christian Szegedy
4
+ PDF Chat Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures 2020 Chankyu Lee
Syed Shakib Sarwar
Priyadarshini Panda
Gopalakrishnan Srinivasan
Kaushik Roy
4
+ PDF Chat GENIEx: A Generalized Approach to Emulating Non-Ideality in Memristive Xbars using Neural Networks 2020 Indranil Chakraborty
Mustafa Ali
Dong Eun Kim
Aayush Ankit
Kaushik Roy
3
+ PDF Chat 2022 roadmap on neuromorphic computing and engineering 2022 Dennis ValbjĂžrn Christensen
Regina Dittmann
B. Linares-Barranco
Abu Sebastian
Manuel Le Gallo
Andrea Redaelli
Stefan Slesazeck
Thomas Mikolajick
Sabina Spiga
Stephan Menzel
3
+ Federated Learning With Spiking Neural Networks 2021 Yeshwanth Venkatesha
Youngeun Kim
Leandros Tassiulas
Priyadarshini Panda
3
+ PDF Chat Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades 2015 Garrick Orchard
Ajinkya Jayawant
Gregory Cohen
Nitish V. Thakor
3
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
3
+ PDF Chat T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding 2020 Seongsik Park
Seijoon Kim
Byunggook Na
Sungroh Yoon
2
+ PDF Chat DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs 2017 Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
2
+ PDF Chat Temporal-wise Attention Spiking Neural Networks for Event Streams Classification 2021 Man Yao
Huanhuan Gao
Guangshe Zhao
Dingheng Wang
Yihan Lin
Zhao-Xu Yang
Guoqi Li
2
+ PDF Chat H2Learn: High-Efficiency Learning Accelerator for High-Accuracy Spiking Neural Networks 2021 Ling Liang
Zheng Qu
Zhaodong Chen
Fengbin Tu
Yujie Wu
Lei Deng
Guoqi Li
Peng Li
Yuan Xie
2
+ PDF Chat SATA: Sparsity-Aware Training Accelerator for Spiking Neural Networks 2022 Ruokai Yin
Abhishek Moitra
Abhiroop Bhattacharjee
Youngeun Kim
Priyadarshini Panda
2
+ PDF Chat PrivateSNN: Privacy-Preserving Spiking Neural Networks 2022 Youngeun Kim
Yeshwanth Venkatesha
Priyadarshini Panda
2
+ Pruning of Deep Spiking Neural Networks through Gradient Rewiring 2021 Yanqi Chen
Zhaofei Yu
Wei Fang
Tiejun Huang
Yonghong Tian
2
+ PDF Chat Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines 2016 Emre Neftci
Bruno U. Pedroni
Siddharth Joshi
Maruan Al-Shedivat
Gert Cauwenberghs
2
+ PDF Chat The Lottery Ticket Hypothesis for Object Recognition 2021 Sharath Girish
Shishira R Maiya
Kamal Gupta
Hao Chen
Larry S. Davis
Abhinav Shrivastava
2
+ PDF Chat HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise 2021 Souvik Kundu
Massoud Pedram
Peter A. Beerel
2
+ PDF Chat Inherent Adversarial Robustness of Deep Spiking Neural Networks: Effects of Discrete Input Encoding and Non-linear Activations 2020 Saima Sharmin
Nitin Rathi
Priyadarshini Panda
Kaushik Roy
2
+ PDF Chat RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network 2020 Bing Han
Gopalakrishnan Srinivasan
Kaushik Roy
2
+ PDF Chat RxNN: A Framework for Evaluating Deep Neural Networks on Resistive Crossbars 2020 Shubham Jain
Abhronil Sengupta
Kaushik Roy
Anand Raghunathan
2
+ STDP-Based Pruning of Connections and Weight Quantization in Spiking Neural Networks for Energy-Efficient Recognition 2018 Nitin Rathi
Priyadarshini Panda
Kaushik Roy
2
+ PDF Chat Supervised Learning Based on Temporal Coding in Spiking Neural Networks 2017 Hesham Mostafa
2
+ RESPARC: A Reconfigurable and Energy-Efficient Architecture with Memristive Crossbars for Deep Spiking Neural Networks 2017 Aayush Ankit
Abhronil Sengupta
Priyadarshini Panda
Kaushik Roy
2
+ Towards Deep Learning Models Resistant to Adversarial Attacks 2017 Aleksander Mądry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
2
+ A Strategy for an Uncompromising Incremental Learner 2017 Ragav Venkatesan
Hemanth Venkateswara
Sethuraman Panchanathan
Baoxin Li
1
+ Adversarial and Clean Data Are Not Twins 2023 Zhitao Gong
Wenlu Wang
1
+ PDF Chat Efficient Processing of Deep Neural Networks: A Tutorial and Survey 2017 Vivienne Sze
Yu‐Hsin Chen
Tien-Ju Yang
Joel Emer
1
+ PDF Chat Adversarial Discriminative Domain Adaptation 2017 Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
1
+ PDF Chat Rethinking the Inception Architecture for Computer Vision 2016 Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
1
+ PDF Chat SSPP-DAN: Deep domain adaptation network for face recognition with single sample per person 2017 Sungeun Hong
Woobin Im
Jongbin Ryu
Hyun Suk Yang
1
+ PDF Chat YouTube-BoundingBoxes: A Large High-Precision Human-Annotated Data Set for Object Detection in Video 2017 Esteban Real
Jonathon Shlens
Stefano Mazzocchi
Xin Pan
Vincent Vanhoucke
1
+ Learning Transferable Features with Deep Adaptation Networks 2015 Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
1
+ PDF Chat RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation 2017 Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
1
+ PDF Chat CNN-Based Semantic Segmentation Using Level Set Loss 2019 Youngeun Kim
Seunghyeon Kim
Taekyung Kim
Changick Kim
1
+ Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer 2016 Sergey Zagoruyko
Nikos Komodakis
1
+ PDF Chat Tensor Decompositions for Signal Processing Applications: From two-way to multiway component analysis 2015 Andrzej Cichocki
Danilo P. Mandic
Lieven De Lathauwer
Guoxu Zhou
Qibin Zhao
CĂ©sar F. Caiafa
Anh Huy Phan
1
+ Unsupervised Domain Adaptation by Backpropagation 2014 Yaroslav Ganin
Victor Lempitsky
1
+ SLAYER: Spike Layer Error Reassignment in Time 2018 Sumit Bam Shrestha
Garrick Orchard
1
+ PDF Chat Partial Adversarial Domain Adaptation 2018 Zhangjie Cao
Lijia Ma
Mingsheng Long
Jianmin Wang
1
+ PDF Chat End-to-End Incremental Learning 2018 Francisco M. Castro
Manuel J. MarĂ­n‐JimĂ©nez
NicolĂĄs Guil
Cordelia Schmid
Karteek Alahari
1
+ Adversarial Attacks on Neural Network Policies 2017 Sandy H. Huang
Nicolas Papernot
Ian Goodfellow
Yan Duan
Pieter Abbeel
1
+ PDF Chat Open Set Domain Adaptation by Backpropagation 2018 Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
1