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Predicting Parameters in Deep Learning

3 June 2013

Papers citing "Predicting Parameters in Deep Learning"

50 / 392 papers shown

Title
Stretching Beyond the Obvious: A Gradient-Free Framework to Unveil the Hidden Landscape of Visual Invariance Lorenzo Tausani P. Muratore Morgan B. Talbot Giacomo Amerio Gabriel Kreiman D. Zoccolan AAML 22 0 0 20 Jun 2025
LittleBit: Ultra Low-Bit Quantization via Latent Factorization Banseok Lee Dongkyu Kim Youngcheon You Youngmin Kim MQ 33 0 0 30 May 2025
Task Singular Vectors: Reducing Task Interference in Model Merging Antonio Andrea Gargiulo Donato Crisostomi Maria Sofia Bucarelli Simone Scardapane Fabrizio Silvestri Emanuele Rodolà MoMe 172 16 0 26 Nov 2024
Efficient Source-Free Time-Series Adaptation via Parameter Subspace Disentanglement Gaurav Patel Christopher Sandino Behrooz Mahasseni Ellen L. Zippi Erdrin Azemi Ali Moin Juri Minxha TTA AI4TS 119 3 0 03 Oct 2024
Convolutional Kolmogorov-Arnold Networks Alexander Dylan Bodner Antonio Santiago Tepsich Jack Natan Spolski Santiago Pourteau 117 72 0 19 Jun 2024
Structure-Preserving Network Compression Via Low-Rank Induced Training Through Linear Layers Composition Xitong Zhang Ismail Alkhouri Rongrong Wang 98 0 0 06 May 2024
LRP-QViT: Mixed-Precision Vision Transformer Quantization via Layer-wise Relevance Propagation Navin Ranjan Andreas E. Savakis MQ 97 6 0 20 Jan 2024
$Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph$ Enabling tabular deep learning when $d \gg n$ with an auxiliary knowledge graph Camilo Ruiz Hongyu Ren Kexin Huang J. Leskovec 71 2 0 07 Jun 2023
E-PANNs: Sound Recognition Using Efficient Pre-trained Audio Neural Networks Arshdeep Singh Haohe Liu Mark D. Plumbley VLM 65 5 0 30 May 2023
Analyzing Compression Techniques for Computer Vision Maniratnam Mandal Imran Khan 82 1 0 14 May 2023
How Informative is the Approximation Error from Tensor Decomposition for Neural Network Compression? Jetze T. Schuurmans Kim Batselier Julian F. P. Kooij 37 1 0 09 May 2023
Sparsified Model Zoo Twins: Investigating Populations of Sparsified Neural Network Models D. Honegger Konstantin Schurholt Damian Borth 88 4 0 26 Apr 2023
Q-DETR: An Efficient Low-Bit Quantized Detection Transformer Sheng Xu Yanjing Li Mingbao Lin Penglei Gao Guodong Guo Jinhu Lu Baochang Zhang MQ 96 24 0 01 Apr 2023
Forget-free Continual Learning with Soft-Winning SubNetworks Haeyong Kang Jaehong Yoon Sultan Rizky Hikmawan Madjid Sung Ju Hwang Chang D. Yoo CLL 105 4 0 27 Mar 2023
Considering Layerwise Importance in the Lottery Ticket Hypothesis Benjamin Vandersmissen José Oramas 79 1 0 22 Feb 2023
Learning a Consensus Sub-Network with Polarization Regularization and One Pass Training Xiaoying Zhi Varun Babbar P. Sun Fran Silavong Ruibo Shi Sean J. Moran Sean Moran 151 1 0 17 Feb 2023
A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques Wenbin Li Hakim Hacid Ebtesam Almazrouei Merouane Debbah 95 13 0 16 Feb 2023
LUT-NN: Empower Efficient Neural Network Inference with Centroid Learning and Table Lookup Xiaohu Tang Yang Wang Ting Cao Li Zhang Qi Chen Deng Cai Yunxin Liu Mao Yang 92 18 0 07 Feb 2023
Getting Away with More Network Pruning: From Sparsity to Geometry and Linear Regions Junyang Cai Khai-Nguyen Nguyen Nishant Shrestha Aidan Good Ruisen Tu Xin Yu Shandian Zhe Thiago Serra MLT 97 10 0 19 Jan 2023
Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling Ahmed Elnaggar Hazem Essam Wafaa Salah-Eldin Walid Moustafa Mohamed Elkerdawy Charlotte Rochereau B. Rost 238 103 0 16 Jan 2023
Breaking the Architecture Barrier: A Method for Efficient Knowledge Transfer Across Networks Maciej A. Czyzewski Daniel Nowak Kamila Piechowiak 66 3 0 28 Dec 2022
Constructing Organism Networks from Collaborative Self-Replicators Steffen Illium Maximilian Zorn Cristian Lenta Michael Kolle Claudia Linnhoff-Popien Thomas Gabor 72 0 0 20 Dec 2022
Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks Shiyu Liu Rohan Ghosh John Tan Chong Min Mehul Motani 79 0 0 09 Dec 2022
Embedding Compression for Text Classification Using Dictionary Screening Jing Zhou Xinru Jing Mu Liu Hansheng Wang 68 0 0 23 Nov 2022
Sparsity in Continuous-Depth Neural Networks H. Aliee Till Richter Mikhail Solonin I. Ibarra Fabian J. Theis Niki Kilbertus 97 11 0 26 Oct 2022
Advancing Model Pruning via Bi-level Optimization Yihua Zhang Yuguang Yao Parikshit Ram Pu Zhao Tianlong Chen Min-Fong Hong Yanzhi Wang Sijia Liu 173 68 0 08 Oct 2022
IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors Sheng Xu Yanjing Li Bo-Wen Zeng Teli Ma Baochang Zhang Xianbin Cao Penglei Gao Jinhu Lv 84 15 0 07 Oct 2022
Hyper-Representations as Generative Models: Sampling Unseen Neural Network Weights Konstantin Schurholt Boris Knyazev Xavier Giró-i-Nieto Damian Borth 135 42 0 29 Sep 2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models Rohan Anil S. Gadanho Danya Huang Nijith Jacob Zhuoshu Li ... Cristina Pop Kevin Regan G. Shamir Rakesh Shivanna Qiqi Yan 3DV 96 42 0 12 Sep 2022
What to Prune and What Not to Prune at Initialization Maha Haroon 41 0 0 06 Sep 2022
Recurrent Bilinear Optimization for Binary Neural Networks Sheng Xu Yanjing Li Tian Wang Teli Ma Baochang Zhang Peng Gao Yu Qiao Jinhu Lv Guodong Guo MQ 127 14 0 04 Sep 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 127 3 0 22 Aug 2022
Enhancing Targeted Attack Transferability via Diversified Weight Pruning Hung-Jui Wang Yuehua Wu Shang-Tse Chen AAML 88 2 0 18 Aug 2022
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations Raj G. Patel Chia-Wei Hsing Serkan Şahi̇n S. Jahromi Samuel Palmer ... Stephane Aubert Pierre Castellani Chi-Guhn Lee Samuel Mugel Roman Orus 122 15 0 03 Aug 2022
Low-complexity Approximate Convolutional Neural Networks R. de Sobral Cintra S. Duffner Christophe Garcia André Leite MQ 81 46 0 29 Jul 2022
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 71 37 0 05 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks Shaopu Wang Xiaojun Chen Mengzhen Kou Jinqiao Shi 113 2 0 03 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 105 61 0 02 Jul 2022
Recall Distortion in Neural Network Pruning and the Undecayed Pruning Algorithm Aidan Good Jia-Huei Lin Hannah Sieg Mikey Ferguson Xin Yu Shandian Zhe J. Wieczorek Thiago Serra 104 11 0 07 Jun 2022
E2FL: Equal and Equitable Federated Learning Hamid Mozaffari Amir Houmansadr FedML 90 10 0 20 May 2022
Blueprint Separable Residual Network for Efficient Image Super-Resolution Zheyu Li Yingqi Liu Xiangyu Chen Haoming Cai Jinjin Gu Yu Qiao Chao Dong 98 141 0 12 May 2022
Learning Compressed Embeddings for On-Device Inference Niketan Pansare J. Katukuri Aditya Arora F. Cipollone R. Shaik Noyan Tokgozoglu Chandru Venkataraman 101 15 0 18 Mar 2022
Approximability and Generalisation A. J. Turner Ata Kabán 57 0 0 15 Mar 2022
Data-Efficient Structured Pruning via Submodular Optimization Marwa El Halabi Suraj Srinivas Simon Lacoste-Julien 87 18 0 09 Mar 2022
The Combinatorial Brain Surgeon: Pruning Weights That Cancel One Another in Neural Networks Xin Yu Thiago Serra Srikumar Ramalingam Shandian Zhe 105 49 0 09 Mar 2022
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases Mingxiao Li Yihong Tang Wei-Ying Ma GNN AI4TS 80 10 0 08 Mar 2022
Symmetric Convolutional Filters: A Novel Way to Constrain Parameters in CNN Harish Agrawal T. Sumana S. Nandy 37 0 0 26 Feb 2022
Distilled Neural Networks for Efficient Learning to Rank F. M. Nardini Cosimo Rulli Salvatore Trani Rossano Venturini FedML 58 16 0 22 Feb 2022
Amenable Sparse Network Investigator S. Damadi Erfan Nouri Hamed Pirsiavash 35 4 0 18 Feb 2022
Backpropagation Neural Tree Varun Ojha Giuseppe Nicosia BDL 53 14 0 04 Feb 2022