Training Very Deep Networks

22 July 2015

Papers citing "Training Very Deep Networks"

50 / 559 papers shown

Title
Neural Optimization Kernel: Towards Robust Deep Learning Yueming Lyu Ivor Tsang 30 1 0 11 Jun 2021
Convolutional Neural Networks with Gated Recurrent Connections Jianfeng Wang Xiaolin Hu ObjD 22 40 0 05 Jun 2021
Generate, Prune, Select: A Pipeline for Counterspeech Generation against Online Hate Speech Wanzheng Zhu S. Bhat 20 54 0 03 Jun 2021
Text Summarization with Latent Queries Yumo Xu Mirella Lapata RALM HILM 28 10 0 31 May 2021
Livewired Neural Networks: Making Neurons That Fire Together Wire Together Thomas Schumacher 30 4 0 17 May 2021
Activation function design for deep networks: linearity and effective initialisation Michael Murray V. Abrol Jared Tanner ODL LLMSV 29 18 0 17 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
BeamLearning: an end-to-end Deep Learning approach for the angular localization of sound sources using raw multichannel acoustic pressure data Hadrien Pujol Éric Bavu Alexandre Garcia 44 22 0 27 Apr 2021
Dense Dilated UNet: Deep Learning for 3D Photoacoustic Tomography Image Reconstruction Steven Guan Ko-Tsung Hsu Matthias Eyassu P. Chitnis MedIm 35 17 0 07 Apr 2021
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study Miguel Rodríguez Santander Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 26 4 0 02 Apr 2021
Going deeper with Image Transformers Hugo Touvron Matthieu Cord Alexandre Sablayrolles Gabriel Synnaeve Hervé Jégou ViT 27 988 0 31 Mar 2021
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks Yuqing Li Tao Luo Chao Ma CML 16 1 0 30 Mar 2021
Initializing ReLU networks in an expressive subspace of weights Dayal Singh J. SreejithG 15 4 0 23 Mar 2021
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph Yiying Yang Xi Yin Haiqing Yang Xingjian Fei Hao Peng Kaijie Zhou Kunfeng Lai Jianping Shen 19 14 0 16 Mar 2021
Syntactic and Semantic-driven Learning for Open Information Extraction Jialong Tang Yaojie Lu Hongyu Lin Xianpei Han Le Sun Xinyan Xiao Hua Wu 34 4 0 05 Mar 2021
MotionRNN: A Flexible Model for Video Prediction with Spacetime-Varying Motions Haixu Wu Zhiyu Yao J. Wan Mingsheng Long 33 126 0 03 Mar 2021
Parallelizing Legendre Memory Unit Training Narsimha Chilkuri C. Eliasmith 12 37 0 22 Feb 2021
Towards Accurate and Compact Architectures via Neural Architecture Transformer Yong Guo Yin Zheng Mingkui Tan Qi Chen Zhipeng Li Jian Chen P. Zhao Junzhou Huang ViT MQ 16 38 0 20 Feb 2021
HINT: Hierarchical Interaction Network for Trial Outcome Prediction Leveraging Web Data Tianfan Fu Kexin Huang Cao Xiao Lucas Glass Jimeng Sun 43 59 0 08 Feb 2021
An Analytic Layer-wise Deep Learning Framework with Applications to Robotics Huu-Thiet Nguyen C. Cheah Kar-Ann Toh 18 16 0 07 Feb 2021
Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification Peng Yao Shuwei Shen Mengjuan Xu Peng Liu Fan Zhang Jinyu Xing Pengfei Shao B. Kaffenberger Ronald X. Xu 29 114 0 02 Feb 2021
A Survey of Complex-Valued Neural Networks J. Bassey Lijun Qian Xianfang Li 33 123 0 28 Jan 2021
Real-Time Limited-View CT Inpainting and Reconstruction with Dual Domain Based on Spatial Information Ken Deng Chang Sun Yitong Liu Hongwen Yang 9 2 0 19 Jan 2021
Faster Convergence in Deep-Predictive-Coding Networks to Learn Deeper Representations I. Sledge José C. Príncipe 30 1 0 18 Jan 2021
A Convergence Theory Towards Practical Over-parameterized Deep Neural Networks Asaf Noy Yi Tian Xu Y. Aflalo Lihi Zelnik-Manor Rong Jin 41 3 0 12 Jan 2021
Target Detection and Segmentation in Circular-Scan Synthetic-Aperture-Sonar Images using Semi-Supervised Convolutional Encoder-Decoders I. Sledge Matthew S. Emigh Jonathan L. King Denton L. Woods J. T. Cobb José C. Príncipe 25 17 0 10 Jan 2021
Residual networks classify inputs based on their neural transient dynamics F. Lagzi 15 0 0 08 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 40 2 0 04 Jan 2021
MetaAugment: Sample-Aware Data Augmentation Policy Learning Fengwei Zhou Jiawei Li Chuanlong Xie Fei Chen Lanqing Hong Rui Sun Zhenguo Li 29 29 0 22 Dec 2020
Image Annotation based on Deep Hierarchical Context Networks Mingyuan Jiu H. Sahbi 23 0 0 21 Dec 2020
DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation Haoyue Bai Rui Sun Lanqing Hong Fengwei Zhou Nanyang Ye Han-Jia Ye Shueng-Han Gary Chan Zhenguo Li OOD OODD CML 22 78 0 17 Dec 2020
A Response Retrieval Approach for Dialogue Using a Multi-Attentive Transformer M. A. Senese A. Benincasa Barbara Caputo Giuseppe Rizzo 11 4 0 15 Dec 2020
Improving Gradient Flow with Unrolled Highway Expectation Maximization C. Song Eunseok Kim Inwook Shim 11 2 0 09 Dec 2020
Layer Pruning via Fusible Residual Convolutional Block for Deep Neural Networks Pengtao Xu Jian Cao Fanhua Shang Wenyu Sun Pu Li 3DPC 20 24 0 29 Nov 2020
Lattice Fusion Networks for Image Denoising Seyedroohollah Hosseini 22 0 0 28 Nov 2020
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling Ishan Jindal Yunyao Li Siddhartha Brahma Huaiyu Zhu 22 2 0 09 Nov 2020
Improving RNN Transducer Based ASR with Auxiliary Tasks Chunxi Liu Frank Zhang Duc Le Suyoun Kim Yatharth Saraf Geoffrey Zweig 26 49 0 05 Nov 2020
It's All in the Name: A Character Based Approach To Infer Religion Rochana Chaturvedi Sugat Chaturvedi 27 23 0 27 Oct 2020
Lamina-specific neuronal properties promote robust, stable signal propagation in feedforward networks Dongqi Han E. De Schutter Sungho Hong 14 3 0 23 Oct 2020
Iterative Amortized Policy Optimization Joseph Marino Alexandre Piché Alessandro Davide Ialongo Yisong Yue OffRL 63 21 0 20 Oct 2020
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From Characters Hicham El Boukkouri Olivier Ferret Thomas Lavergne Hiroshi Noji Pierre Zweigenbaum Junichi Tsujii 77 156 0 20 Oct 2020
Word Shape Matters: Robust Machine Translation with Visual Embedding Haohan Wang Peiyan Zhang Eric Xing 150 13 0 20 Oct 2020
WDN: A Wide and Deep Network to Divide-and-Conquer Image Super-resolution Vikram Singh Anurag Mittal SupR 24 2 0 07 Oct 2020
Improving Sequential Latent Variable Models with Autoregressive Flows Joseph Marino Lei Chen Jiawei He Stephan Mandt BDL AI4TS 30 12 0 07 Oct 2020
Empirical Frequentist Coverage of Deep Learning Uncertainty Quantification Procedures Benjamin Kompa Jasper Snoek Andrew L. Beam UQCV BDL 31 29 0 06 Oct 2020
Attention-Based Clustering: Learning a Kernel from Context Samuel Coward Erik Visse-Martindale Chithrupa Ramesh 6 3 0 02 Oct 2020
Stock2Vec: A Hybrid Deep Learning Framework for Stock Market Prediction with Representation Learning and Temporal Convolutional Network Xing Wang Yijun Wang Bin Weng Aleksandr Vinel AIFin AI4TS 29 11 0 29 Sep 2020
Attentional Feature Fusion Yimian Dai Fabian Gieseke Stefan Oehmcke Yiquan Wu Kobus Barnard 3DPC 13 625 0 29 Sep 2020
Deep Neural Networks with Short Circuits for Improved Gradient Learning Ming Yan Xueli Xiao Qiufeng Wang Yi Pan 31 0 0 23 Sep 2020
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure Md. Aminur Rab Ratul M. T. Elahi Mohammad Mozaffari Won-Sook Lee 42 5 0 22 Sep 2020