Search results for "backpropagation"

Hits ?▲	Authors	Title	Venue	Year	Link
13	Olaoluwa Adigun, Bart Kosko	Noise-boosted recurrent backpropagation.	Neurocomputing	2023	DBLP DOI BibTeX RDF
13	Mubarakah Alotaibi, Richard C. Wilson 0001	Deep Residual Compensation Convolutional Network without Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Saeed Damadi, Golnaz Moharrer, Mostafa Cham	The Backpropagation algorithm for a math student.	CoRR	2023	DBLP DOI BibTeX RDF
13	Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu 0003	Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Marcus Rüb, Daniel Maier, Daniel Mueller-Gritschneder, Axel Sikora	TinyProp - Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Farshid Ashtiani, Mohamad Hossein Idjadi	Towards fully integrated photonic backpropagation training and inference using on-chip nonlinear activation and gradient functions.	CoRR	2023	DBLP DOI BibTeX RDF
13	G. Aileen Mendrofa, Gatot Fatwanto Hertono, Bevina Desjwiandara Handari	Ensemble Learning Model on Artificial Neural Network-Backpropagation (ANN-BP) Architecture for Coal Pillar Stability Classification.	CoRR	2023	DBLP DOI BibTeX RDF
13	Alan Edelman, Ekin Akyürek, Yuyang Wang	BACKpropagation through BACK substitution with a BACKslash.	CoRR	2023	DBLP DOI BibTeX RDF
13	Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	David W. Romero, Neil Zeghidour	DNArch: Learning Convolutional Neural Architectures by Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	James Hazelden, Yuhan Helena Liu, Eli Shlizerman, Eric Shea-Brown	Evolutionary algorithms as an alternative to backpropagation for supervised training of Biophysical Neural Networks and Neural ODEs.	CoRR	2023	DBLP DOI BibTeX RDF
13	Chenlin Zhou, Han Zhang, Zhaokun Zhou, Liutao Yu, Zhengyu Ma, Huihui Zhou, Xiaopeng Fan, Yonghong Tian 0001	Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon	Can Forward Gradient Match Backpropagation?	CoRR	2023	DBLP DOI BibTeX RDF
13	Astrid Vanneste, Simon Vanneste, Kevin Mets, Tom De Schepper, Siegfried Mercelis, Peter Hellinckx	An In-Depth Analysis of Discretization Methods for Communication Learning using Backpropagation with Multi-Agent Reinforcement Learning.	CoRR	2023	DBLP DOI BibTeX RDF
13	Patrik Hammersborg, Inga Strümke	Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Thomas Grandits, Jan Verhülsdonk, Gundolf Haase, Alexander Effland, Simone Pezzuto	Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach.	CoRR	2023	DBLP DOI BibTeX RDF
13	Desmond Y. M. Tang	The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses.	CoRR	2023	DBLP DOI BibTeX RDF
13	Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew Dienstfrey, Sonia M. Buckley	Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Jinyang Jiang 0001, Zeliang Zhang, Chenliang Xu, Zhaofei Yu, Yijie Peng	Training Neural Networks without Backpropagation: A Deeper Dive into the Likelihood Ratio Method.	CoRR	2023	DBLP DOI BibTeX RDF
13	Greg Short	Zenkai - Framework For Exploring Beyond Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Christian Pehle, Luca Blessing, Elias Arnold, Eric Müller 0001, Johannes Schemmel	Event-based Backpropagation for Analog Neuromorphic Hardware.	CoRR	2023	DBLP DOI BibTeX RDF
13	James Spall, Xianxin Guo, A. I. Lvovsky 0001	Training neural networks with end-to-end optical backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou, Hai-Zhong Weng, Bo-Wen Wang, Ke-Jie Huang, Xing Lin, Feng Liu, Chen-Hui Li, Chao-Yuan Jin	Slimmed optical neural networks with multiplexed neuron sets and a corresponding backpropagation training algorithm.	CoRR	2023	DBLP DOI BibTeX RDF
13	Ali Momeni, Babak Rahmani, Matthieu Mallejac, Philipp del Hougne, Romain Fleury	Backpropagation-free Training of Deep Physical Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang	Backpropagation Path Search On Adversarial Transferability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Seonghwan Park, Dahun Shin, Jinseok Chung, Namhoon Lee	FedFwd: Federated Learning without Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Kehinde Olobatuyi	Variational EP with Probabilistic Backpropagation for Bayesian Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Umais Zahid, Qinghai Guo, Zafeirios Fountas	Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Kevin Du, Lucas Torroba Hennigen, Niklas Stoehr, Alexander Warstadt, Ryan Cotterell	Generalizing Backpropagation for Gradient-Based Interpretability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Arshia Soltani Moakhar, Mohammad Azizmalayeri, Hossein Mirzaei, Mohammad Taghi Manzuri, Mohammad Hossein Rohban	Seeking Next Layer Neurons' Attention for Error-Backpropagation-Like Training in a Multi-Agent Network Framework.	CoRR	2023	DBLP DOI BibTeX RDF
13	Jake Ryland Williams, Haoran Zhao	Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Ahmed Boughammoura	A Two-Step Rule for Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Liyuan Liu, Jianfeng Gao 0001, Weizhu Chen	Sparse Backpropagation for MoE Training.	CoRR	2023	DBLP DOI BibTeX RDF
13	Heung-Chang Lee, Jeonggeun Song	SymBa: Symmetric Backpropagation-Free Contrastive Learning with Forward-Forward Algorithm for Optimizing Convergence.	CoRR	2023	DBLP DOI BibTeX RDF
13		An Efficient Approach to Mitigate Numerical Instability in Backpropagation for 16-bit Neural Network Training.	CoRR	2023	DBLP DOI BibTeX RDF
13	Péter Pósfay, Marcell T. Kurbucz, Péter Kovács, Antal Jakovác	Learning ECG signal features without backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Ahmed Boughammoura	Backpropagation and F-adjoint.	CoRR	2023	DBLP DOI BibTeX RDF
13	Haozhe Feng, Tianyu Pang, Chao Du, Wei Chen 0001, Shuicheng Yan, Min Lin	Does Federated Learning Really Need Backpropagation?	CoRR	2023	DBLP DOI BibTeX RDF
13	Van Minh Nguyen	Boolean Variation and Boolean Logic BackPropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	AbdElRahman A. ElSaid, Karl Ricanek, Zeming Lyu, Alexander Ororbia, Travis Desell	Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search.	CoRR	2023	DBLP DOI BibTeX RDF
13	Mihir Prabhudesai, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki	Aligning Text-to-Image Diffusion Models with Reward Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Robert Tjarko Lange, Henning Sprekeler	Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability.	CoRR	2023	DBLP DOI BibTeX RDF
13	Jiachun Pan, Jun Hao Liew, Vincent Y. F. Tan, Jiashi Feng, Hanshu Yan	AdjointDPM: Adjoint Sensitivity Method for Gradient Backpropagation of Diffusion Probabilistic Models.	CoRR	2023	DBLP DOI BibTeX RDF
13	Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang	OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean	On quantum backpropagation, information reuse, and cheating measurement collapse.	CoRR	2023	DBLP DOI BibTeX RDF
13	Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu 0001, Jianfeng Gao 0001	Bridging Discrete and Backpropagation: Straight-Through and Beyond.	CoRR	2023	DBLP DOI BibTeX RDF
13	Qingyan Meng, Mingqing Xiao 0002, Shen Yan, Yisen Wang 0001, Zhouchen Lin, Zhi-Quan Luo	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
13	Tyler Zhu, Karttikeya Mangalam	PaReprop: Fast Parallelized Reversible Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu	Efficient Low-rank Backpropagation for Vision Transformer Adaptation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Cesare Donati, Martina Mammarella, Fabrizio Dabbene, Carlo Novara, Constantino Lagoa	One-shot backpropagation for multi-step prediction in physics-based system identification.	CoRR	2023	DBLP DOI BibTeX RDF
13	Marco Huber, Anh Thi Luu, Philipp Terhörst, Naser Damer	Efficient Explainable Face Verification based on Similarity Score Argument Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Riccardo Zuliani, Efe C. Balta, John Lygeros	BP-MPC: Optimizing Closed-Loop Performance of MPC using BackPropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Loris Di Natale, Muhammad Zakwan, Philipp Heer, Giancarlo Ferrari-Trecate, Colin N. Jones	SIMBa: System Identification Methods leveraging Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Kai Huang, Hanyun Yin, Heng Huang, Wei Gao	Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation.	CoRR	2023	DBLP DOI BibTeX RDF
13	Liang Luo	Revolutionizing interpretation education: a comprehensive automatic interpretation evaluation system based on composite genetic algorithm and backpropagation neural networks.	Soft Comput.	2023	DBLP DOI BibTeX RDF
13	Banibrata Paul, Bhaskar Karn	Heart disease prediction using scaled conjugate gradient backpropagation of artificial neural network.	Soft Comput.	2023	DBLP DOI BibTeX RDF
13	AbdElRahman A. ElSaid, Karl Ricanek, Zimeng Lyu, Alexander Ororbia, Travis Desell	Backpropagation-free 4D continuous ant-based neural topology search.	Appl. Soft Comput.	2023	DBLP DOI BibTeX RDF
13	Zifan Zhang, Deqiao Xie, Fei Lv 0009, Ruikang Liu, Youwen Yang, Lin Wang, Guofeng Wu, Changjiang Wang, Li-Da Shen, Zongjun Tian	Intelligent geometry compensation for additive manufactured oral maxillary stent by genetic algorithm and backpropagation network.	Comput. Biol. Medicine	2023	DBLP DOI BibTeX RDF
13	Xiaolin Ji, Chang Su	Exploration of Supply Chain Financing Model and Virtual Economic Risk Control Using the Backpropagation Neural Network.	J. Glob. Inf. Manag.	2023	DBLP DOI BibTeX RDF
13	Donghyung Yoo, Doo Seok Jeong	CBP-QSNN: Spiking Neural Networks Quantized Using Constrained Backpropagation.	IEEE J. Emerg. Sel. Topics Circuits Syst.	2023	DBLP DOI BibTeX RDF
13	Aboul Ella Hassanien, Lobna M. Abouelmagd, Amira S. Mahmoud, Ashraf Darwish	An optimized backpropagation neural network models for the prediction of nanomaterials concentration for purification industrial wastewater.	Eng. Appl. Artif. Intell.	2023	DBLP DOI BibTeX RDF
13	Liangcai Qiu, Peng Chen, Yibin Yao, Hao Chen 0003, Fucai Tang, Mingzhu Xiong	An Interferometric Synthetic Aperture Radar Tropospheric Delay Correction Method Based on a Global Navigation Satellite System and a Backpropagation Neural Network: More Suitable for Areas with Obvious Terrain Changes.	Sensors	2023	DBLP DOI BibTeX RDF
13	Caijie Zhao, Ying Qin, Bob Zhang 0001	Adversarially Learning Occlusions by Backpropagation for Face Recognition.	Sensors	2023	DBLP DOI BibTeX RDF
13	Karen Leung, Nikos Aréchiga, Marco Pavone 0001	Backpropagation through signal temporal logic specifications: Infusing logical structure into gradient-based methods.	Int. J. Robotics Res.	2023	DBLP DOI BibTeX RDF
13	Il-Hyang Choe, Gwang-Jin Kim, Nam-Chol Kim, Myong-Chol Ko, Ju-Song Ryom, Ryong-Min Han, Tae-Gyong Han, Il Han	Can quantum genetic algorithm really improve quantum backpropagation neural network?	Quantum Inf. Process.	2023	DBLP DOI BibTeX RDF
13	Xiaoling Luo, Hong Qu, Yuchen Wang, Zhang Yi 0001, Jilun Zhang, Malu Zhang	Supervised Learning in Multilayer Spiking Neural Networks With Spike Temporal Error Backpropagation.	IEEE Trans. Neural Networks Learn. Syst.	2023	DBLP DOI BibTeX RDF
13	Mahrad Pisheh Var, Michael Fairbank, Spyridon Samothrakis	A Minimal "Functionally Sentient" Organism Trained With Backpropagation Through Time.	Adapt. Behav.	2023	DBLP DOI BibTeX RDF
13	Waqas Nawaz, Muhammad Hameed Siddiqi, Ahmad S. Almadhor	Adaptively Directed Image Restoration Using Resilient Backpropagation Neural Network.	Int. J. Comput. Intell. Syst.	2023	DBLP DOI BibTeX RDF
13	Ashraf Uz Zaman Patwary, Shuling Wang, Hong K. Lo	Iterative Backpropagation Method for Efficient Gradient Estimation in Bilevel Network Equilibrium Optimization Problems.	Transp. Sci.	2023	DBLP DOI BibTeX RDF
13	Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu 0003	Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation.	ICCV	2023	DBLP DOI BibTeX RDF
13	Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang	Backpropagation Path Search On Adversarial Transferability.	ICCV	2023	DBLP DOI BibTeX RDF
13	Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen	Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation.	ICCV	2023	DBLP DOI BibTeX RDF
13	Qingyan Meng, Mingqing Xiao 0002, Shen Yan, Yisen Wang 0001, Zhouchen Lin, Zhi-Quan Luo	Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks.	ICCV	2023	DBLP DOI BibTeX RDF
13	M. Fadli Ridhani, Wayan Firdaus Mahmudy	An Enhanced Backpropagation Neural Network for Fire Alarm Detection.	SIET	2023	DBLP DOI BibTeX RDF
13	Abraham Sotomayor, Erwan Pincemin, Vincent Choqueuse, Michel Morvan	A Comparison of Machine Learning Techniques for Fiber Non-Linearity Compensation: Multilayer Perceptron vs. Learned Digital BackPropagation.	ICTON	2023	DBLP DOI BibTeX RDF
13	Olaoluwa Adigun, Bart Kosko	Bidirectional Backpropagation Autoencoding Networks for Image Compression and Denoising.	ICMLA	2023	DBLP DOI BibTeX RDF
13	Ben Crulis, Barthélemy Serres, Cyril De Runz, Gilles Venturini	Are alternatives to backpropagation useful for training Binary Neural Networks? An experimental study in image classification.	SAC	2023	DBLP DOI BibTeX RDF
13	Abbas Abolfathimomtaz, Masoud Ardakani, Hamid Ebrahimzad	Parallel Digital Backpropagation in Fiber Optics Considering Four-Wave Mixing Terms.	ICC	2023	DBLP DOI BibTeX RDF
13	Erwin G. Peña, Dante Laroza Silva, Christ John L. Marcos, Bernard S. Villaverde, Divina R. Gonzales, Edgar Marzan Adina	A Synthesis of Structural Equation Model-Analytical Hierarchy Process, Nonlinear Autoregressive and Backpropagation Neural Network-Sensitivity Analysis for Construction and Demolition Waste Assessment in the Philippines.	ICMSS	2023	DBLP DOI BibTeX RDF
13	Andrei Darii, Maximilian Moll, Marian Sorin Nistor, Stefan Pickl, Ovidiu-Constantin Novac, Cornelia Mihaela Novac, Mircea Gordan, Cornelia Emilia Gordan 0001	Analysis, Combination and Integration of Neuroevolution and Backpropagation Algorithms for Gaming Environment.	ECAI	2023	DBLP DOI BibTeX RDF
13	Alexander G. Ororbia II, Ankur Arjun Mali, Daniel Kifer, C. Lee Giles	Backpropagation-Free Deep Learning with Recursive Local Representation Alignment.	AAAI	2023	DBLP DOI BibTeX RDF
13	Olaoluwa Adigun, Bart Kosko	Hidden Priors for Bayesian Bidirectional Backpropagation.	SMC	2023	DBLP DOI BibTeX RDF
13	Robert Tjarko Lange, Henning Sprekeler	Lottery tickets in evolutionary optimization: On sparse backpropagation-free trainability.	GECCO Companion	2023	DBLP DOI BibTeX RDF
13	Jake Stauffer, Qingxue Zhang	Spiking Neural Network with Backpropagation Learning for Brain Visual Dynamics Decoding.	NER	2023	DBLP DOI BibTeX RDF
13	Sangyeob Kim, Soyeon Kim, Seongyon Hong, Sangjin Kim, Donghyeon Han, Jiwon Choi, Hoi-Jun Yoo	COOL-NPU: Complementary Online Learning Neural Processing Unit with CNN-SNN Heterogeneous Core and Event-driven Backpropagation.	COOL CHIPS	2023	DBLP DOI BibTeX RDF
13	Mohammed Manzar Maqbool, Clive Cheong Took, Saeid Sanei	A novel technique for optimizing the filter size of CNNs without backpropagation.	SSP	2023	DBLP DOI BibTeX RDF
13	Jack Cai, Muhammad Ahsan Kaleem, Amirali Amirsoleimani, Roman Genov	HESSPROP: Mitigating Memristive DNN Weight Mapping Errors with Hessian Backpropagation.	ISCAS	2023	DBLP DOI BibTeX RDF
13	Du Tang, Zhen Wu, Shuangyue Liu, Jiating Luo, Ji Luo, Bofang Zheng, Yaojun Qiao	Learned Perturbation-Aided Advanced Digital Backpropagation with Nonlinear Compensation Fusion for Subcarrier-Multiplexing Systems.	OFC	2023	DBLP DOI BibTeX RDF
13	Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao 0001	Bridging Discrete and Backpropagation: Straight-Through and Beyond.	NeurIPS	2023	DBLP BibTeX RDF
13	Amira Abbas, Robbie King, Hsin-Yuan Huang, William J. Huggins, Ramis Movassagh, Dar Gilboa, Jarrod R. McClean	On quantum backpropagation, information reuse, and cheating measurement collapse.	NeurIPS	2023	DBLP BibTeX RDF
13	Yuedong Yang, Hung-Yueh Chiang, Guihong Li, Diana Marculescu, Radu Marculescu	Efficient Low-rank Backpropagation for Vision Transformer Adaptation.	NeurIPS	2023	DBLP BibTeX RDF
13	Seokjin Oh, Rina Yoon, Seungmyeong Cho, Kyeong-Sik Min	Memristor Circuits for Non-Backpropagation Training Algorithm.	ISOCC	2023	DBLP DOI BibTeX RDF
13	Anjali A N, Sreelakshmi C. B, Remya Nair T	Blackhole Attack Detection in Wireless Sensor Network Using Backpropagation Algorithm.	ICCCNT	2023	DBLP DOI BibTeX RDF
13	Saeed Damadi, Golnaz Moharrer, Mostafa Cham, Jinglai Shen	The Backpropagation algorithm for a math student.	IJCNN	2023	DBLP DOI BibTeX RDF
13	Kuntai Du, Yuhan Liu, Yitian Hao, Qizheng Zhang, Haodong Wang, Yuyang Huang, Ganesh Ananthanarayanan, Junchen Jiang	OneAdapt: Fast Adaptation for Deep Learning Applications via Backpropagation.	SoCC	2023	DBLP DOI BibTeX RDF
13	Subham Sekhar Sahoo, Anselm Paulus, Marin Vlastelica, Vít Musil, Volodymyr Kuleshov, Georg Martius	Backpropagation through Combinatorial Algorithms: Identity with Projection Works.	ICLR	2023	DBLP BibTeX RDF
13	Beren Millidge, Yuhang Song 0001, Tommaso Salvatori, Thomas Lukasiewicz, Rafal Bogacz	Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning.	ICLR	2023	DBLP BibTeX RDF
13	Robert Tjarko Lange, Henning Sprekeler	Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability.	ICML	2023	DBLP BibTeX RDF
13	Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh	SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge.	ICML	2023	DBLP BibTeX RDF
13	Louis Fournier, Stéphane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon	Can Forward Gradient Match Backpropagation?	ICML	2023	DBLP BibTeX RDF