Training Very Deep Networks

22 July 2015

Papers citing "Training Very Deep Networks"

50 / 559 papers shown

Title
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 42 9 0 10 Jan 2023
Self-Activating Neural Ensembles for Continual Reinforcement Learning Sam Powers Eliot Xing Abhinav Gupta KELM CLL 32 5 0 31 Dec 2022
Langevin algorithms for very deep Neural Networks with application to image classification Pierre Bras 25 6 0 27 Dec 2022
Refined Semantic Enhancement towards Frequency Diffusion for Video Captioning Xian Zhong Zipeng Li Shuqin Chen Kui Jiang Chen Chen Mang Ye DiffM VGen 27 40 0 28 Nov 2022
Face Swapping as A Simple Arithmetic Operation T. Vu K. Do Khang Nguyen Khoat Than PICV CVBM 30 2 0 19 Nov 2022
PKCAM: Previous Knowledge Channel Attention Module Eslam Mohamed Bakr Ahmad El-Sallab M. Rashwan 24 1 0 14 Nov 2022
A Law of Data Separation in Deep Learning Hangfeng He Weijie J. Su OOD 32 38 0 31 Oct 2022
Multi-view Representation Learning from Malware to Defend Against Adversarial Variants Junjie Hu Mohammadreza Ebrahimi Weifeng Li Xin Li Hsinchun Chen AAML 21 2 0 25 Oct 2022
Pareto-aware Neural Architecture Generation for Diverse Computational Budgets Yong Guo Yaofo Chen Yin Zheng Qi Chen P. Zhao Jian Chen Junzhou Huang Mingkui Tan 30 5 0 14 Oct 2022
ObfuNAS: A Neural Architecture Search-based DNN Obfuscation Approach Tong Zhou Shaolei Ren Xiaolin Xu AAML 32 13 0 17 Aug 2022
Multi-Agent Reinforcement Learning for Long-Term Network Resource Allocation through Auction: a V2X Application Jing Tan R. Khalili Holger Karl A. Hecker OffRL 27 2 0 29 Jul 2022
Look Closer to Your Enemy: Learning to Attack via Teacher-Student Mimicking Mingejie Wang Jianxiong Guo Sirui Li Dingwen Xiao Zhiqing Tang AAML 44 0 0 27 Jul 2022
AutoInit: Automatic Initialization via Jacobian Tuning Tianyu He Darshil Doshi Andrey Gromov 19 4 0 27 Jun 2022
Entangled Residual Mappings Mathias Lechner Ramin Hasani Z. Babaiee Radu Grosu Daniela Rus T. Henzinger Sepp Hochreiter 14 5 0 02 Jun 2022
B2T Connection: Serving Stability and Performance in Deep Transformers Sho Takase Shun Kiyono Sosuke Kobayashi Jun Suzuki 24 10 0 01 Jun 2022
Sepsis Prediction with Temporal Convolutional Networks Xing Wang Yuntian He 35 2 0 31 May 2022
A Survey on Neural Open Information Extraction: Current Status and Future Directions Shaowen Zhou Yu Bowen Aixin Sun Cheng Long Jingyang Li Haiyang Yu Jianguo Sun Yongbin Li 33 32 0 24 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 31 7 0 05 May 2022
A survey on attention mechanisms for medical applications: are we moving towards better algorithms? Tiago Gonçalves Isabel Rio-Torto Luís F. Teixeira J. S. Cardoso OOD MedIm 37 36 0 26 Apr 2022
6GAN: IPv6 Multi-Pattern Target Generation via Generative Adversarial Nets with Reinforcement Learning Tianyu Cui Gaopeng Gou G. Xiong Chang Liu Peipei Fu Zhen Li GAN 26 28 0 21 Apr 2022
An Optimal Time Variable Learning Framework for Deep Neural Networks Harbir Antil Hugo Díaz Evelyn Herberg 15 4 0 18 Apr 2022
Expressive Singing Synthesis Using Local Style Token and Dual-path Pitch Encoder Juheon Lee Hyeong-Seok Choi Kyogu Lee 14 5 0 07 Apr 2022
Learning to Bid Long-Term: Multi-Agent Reinforcement Learning with Long-Term and Sparse Reward in Repeated Auction Games Jing Tan R. Khalili Holger Karl 14 3 0 05 Apr 2022
Multi-Agent Distributed Reinforcement Learning for Making Decentralized Offloading Decisions Jing Tan R. Khalili Holger Karl A. Hecker OffRL 19 20 0 05 Apr 2022
Vision Transformer with Convolutions Architecture Search Haichao Zhang K. Hao Witold Pedrycz Lei Gao Xue-song Tang Bing Wei ViT 33 6 0 20 Mar 2022
Block-Recurrent Transformers DeLesley S. Hutchins Imanol Schlag Yuhuai Wu Ethan Dyer Behnam Neyshabur 23 94 0 11 Mar 2022
Modeling the Shape of the Brain Connectome via Deep Neural Networks Haocheng Dai M. Bauer P. T. Fletcher S. Joshi MedIm DiffM 17 1 0 06 Mar 2022
Submodlib: A Submodular Optimization Library Vishal Kaushal Ganesh Ramakrishnan Rishabh K. Iyer 50 12 0 22 Feb 2022
General Cyclical Training of Neural Networks L. Smith 38 6 0 17 Feb 2022
Weighting and Pruning based Ensemble Deep Random Vector Functional Link Network for Tabular Data Classification Qi-Shi Shi Ponnuthurai Nagaratnam Suganthan Rakesh Katuwal 6 22 0 15 Jan 2022
ThreshNet: An Efficient DenseNet Using Threshold Mechanism to Reduce Connections Ruikang Ju Ting-Yu Lin Jia-Hao Jian Jen-Shiun Chiang Weida Yang 31 9 0 09 Jan 2022
Multimeasurement Generative Models Saeed Saremi R. Srivastava 22 8 0 18 Dec 2021
Idiomatic Expression Paraphrasing without Strong Supervision Jianing Zhou Ziheng Zeng Hongyu Gong S. Bhat 39 10 0 16 Dec 2021
Advancing Deep Residual Learning by Solving the Crux of Degradation in Spiking Neural Networks Yifan Hu Yujie Wu Lei Deng Guoqi Li 30 5 0 09 Dec 2021
Learning to Fit Morphable Models Vasileios Choutas Federica Bogo Jingjing Shen Julien P. C. Valentin 3DH 19 18 0 29 Nov 2021
Attention Mechanisms in Computer Vision: A Survey Meng-Hao Guo Tianhan Xu Jiangjiang Liu Zheng-Ning Liu Peng-Tao Jiang Tai-Jiang Mu Song-Hai Zhang Ralph Robert Martin Ming-Ming Cheng Shimin Hu 19 1,638 0 15 Nov 2021
Parameter Prediction for Unseen Deep Architectures Boris Knyazev M. Drozdzal Graham W. Taylor Adriana Romero Soriano OOD 31 79 0 25 Oct 2021
Alignment Attention by Matching Key and Query Distributions Shujian Zhang Xinjie Fan Huangjie Zheng Korawat Tanwisuth Mingyuan Zhou OOD 37 10 0 25 Oct 2021
Semi-Supervised Semantic Segmentation of Vessel Images using Leaking Perturbations Jinyong Hou Xuejie Ding Jeremiah D. Deng MedIm 26 19 0 22 Oct 2021
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization Róbert Csordás Kazuki Irie Jürgen Schmidhuber AI4CE 33 54 0 14 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 43 4 0 08 Oct 2021
A Graph-Based Neural Model for End-to-End Frame Semantic Parsing Zhichao Lin Yueheng Sun Meishan Zhang GNN 44 7 0 25 Sep 2021
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models Goro Kobayashi Tatsuki Kuribayashi Sho Yokoi Kentaro Inui 160 46 0 15 Sep 2021
Why Adversarial Reprogramming Works, When It Fails, and How to Tell the Difference Yang Zheng Xiaoyi Feng Zhaoqiang Xia Xiaoyue Jiang Ambra Demontis Maura Pintor Battista Biggio Fabio Roli AAML 30 22 0 26 Aug 2021
Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures Devleena Das Sonia Chernova 36 20 0 08 Aug 2021
RBUE: A ReLU-Based Uncertainty Estimation Method of Deep Neural Networks Yufeng Xia Jun Zhang Zhiqiang Gong Tingsong Jiang W. Yao UQCV 23 1 0 15 Jul 2021
End-To-End Data-Dependent Routing in Multi-Path Neural Networks Dumindu Tissera Rukshan Wijesinghe Kasun Vithanage A. Xavier Subha Fernando Ranga Rodrigo MoE 28 0 0 06 Jul 2021
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification Wenming Tang 3DH AI4CE 19 19 0 30 Jun 2021
Mix and Mask Actor-Critic Methods Dom Huh 19 1 0 24 Jun 2021
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks Shai Keynan Elad Sarafian Sarit Kraus OffRL 23 28 0 12 Jun 2021