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Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 464 papers shown

Title
A Survey of Machine Learning for Big Code and Naturalness Miltiadis Allamanis Earl T. Barr Premkumar T. Devanbu Charles Sutton 332 932 0 18 Sep 2017
Can Deep Neural Networks Match the Related Objects?: A Survey on ImageNet-trained Classification Models Han S. Lee Heechul Jung Alex A. Agarwal Junmo Kim 152 6 0 12 Sep 2017
Investigating how well contextual features are captured by bi-directional recurrent neural network models Kushal Chawla Sunil Kumar Sahu Ashish Anand 99 2 0 03 Sep 2017
Learning the Enigma with Recurrent Neural Networks S. Greydanus 103 40 0 24 Aug 2017
What Actions are Needed for Understanding Human Actions in Videos?IEEE International Conference on Computer Vision (ICCV), 2017 Gunnar Sigurdsson Olga Russakovsky Abhinav Gupta 165 135 0 09 Aug 2017
Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin Ritambhara Singh Jack Lanchantin Arshdeep Sekhon Yanjun Qi 270 85 0 01 Aug 2017
Learning Language Representations for Typology Prediction Chaitanya Malaviya Graham Neubig Patrick Littell 180 111 0 29 Jul 2017
An Embedded Deep Learning based Word Prediction Seunghak Yu Nilesh Kulkarni Haejun Lee J. Kim 109 0 0 06 Jul 2017
Automatic Generation of Natural Language Explanations F. Costa Sixun Ouyang Peter Dolog A. Lawlor 163 106 0 04 Jul 2017
Improving Distributed Representations of Tweets - Present and Future J. Ganesh SSL OOD AI4TS 69 1 0 29 Jun 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study Samuel Ritter David Barrett Adam Santoro M. Botvinick 188 204 0 26 Jun 2017
YellowFin and the Art of Momentum TuningUSENIX workshop on Tackling computer systems problems with machine learning techniques (SPMLT), 2017 Jian Zhang Alexia Jolicoeur-Martineau ODL 212 110 0 12 Jun 2017
A Maximum Matching Algorithm for Basis Selection in Spectral LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2017 A. Quattoni X. Carreras Matthias Gallé 119 9 0 09 Jun 2017
Gated Orthogonal Recurrent Units: On Learning to ForgetNeural Computation (Neural Comput.), 2017 Li Jing Çağlar Gülçehre J. Peurifoy Yichen Shen Max Tegmark Marin Soljacic Yoshua Bengio 242 133 0 08 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 369 88 0 29 May 2017
Techniques for visualizing LSTMs applied to electrocardiograms J. Westhuizen Joan Lasenby AI4TS 149 5 0 23 May 2017
Detecting Statistical Interactions from Neural Network Weights Michael Tsang Dehua Cheng Yan Liu 276 209 0 14 May 2017
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels Alexey Romanov Anna Rumshisky OOD SSL DRL 90 1 0 01 May 2017
Semi-supervised sequence tagging with bidirectional language models Matthew E. Peters Bridger Waleed Ammar Chandra Bhagavatula Russell Power 211 653 0 29 Apr 2017
Improving Context Aware Language Models Aaron Jaech Mari Ostendorf 93 3 0 21 Apr 2017
Predictive-Corrective Networks for Action Detection Achal Dave Olga Russakovsky Deva Ramanan AI4TS 244 55 0 12 Apr 2017
What do Neural Machine Translation Models Learn about Morphology? Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass 364 427 0 11 Apr 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 269 533 0 05 Apr 2017
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking Min Yang Yuwei Wu Yunde Jia VOT 138 60 0 31 Mar 2017
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries Yu-Hsuan Wang Cheng-Tao Chung Hung-yi Lee 143 40 0 22 Mar 2017
Dance Dance Convolution Chris Donahue Zachary Chase Lipton Julian McAuley 161 38 0 20 Mar 2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks Nanyang Ye Zhanxing Zhu Rafał K. Mantiuk 218 21 0 13 Mar 2017
Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong Hang Su Jun Zhu Bo Zhang 178 130 0 12 Mar 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG A. Supratak Hao Dong Chao Wu Wenhan Luo 241 1,085 0 12 Mar 2017
End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks Min-Je Choi S. Jeong Hakjoo Oh Jaegul Choo 138 68 0 07 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 233 182 0 05 Mar 2017
Progress Estimation and Phase Detection for Sequential ProcessesProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2017 Xinyu Li Yanyi Zhang Jianyu Zhang Yueyang Chen Shuhong Chen Yue Gu Moliang Zhou Richard A. Farneth I. Marsic R. Burd 185 19 0 28 Feb 2017
Task-driven Visual Saliency and Attention-based Visual Question Answering Yuetan Lin Zhangyang Pang Donghui Wang Yueting Zhuang 106 26 0 22 Feb 2017
Concurrent Activity Recognition with Multimodal CNN-LSTM Structure Xinyu Li Yanyi Zhang Jianyu Zhang Shuhong Chen I. Marsic Richard A. Farneth R. Burd HAI 108 42 0 06 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 835 1,727 0 25 Jan 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point ProcessNeural Information Processing Systems (NeurIPS), 2016 Hongyuan Mei Jason Eisner BDL AI4TS 154 78 0 29 Dec 2016
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 319 596 0 24 Dec 2016
Top-down Visual Saliency Guided by CaptionsComputer Vision and Pattern Recognition (CVPR), 2016 Vasili Ramanishka Abir Das Jianming Zhang Kate Saenko 163 147 0 21 Dec 2016
Music Generation with Deep Learning Vasanth Kalingeri Srikanth Grandhe MGen 101 24 0 15 Dec 2016
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 156 385 0 14 Dec 2016
Learning Operations on a Stack with Neural Turing Machines T. Deleu Joseph Dureau 103 9 0 02 Dec 2016
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 369 213 0 29 Nov 2016
Context-aware Natural Language Generation with Recurrent Neural Networks Jian Tang Yifan Yang Samuel Carton Ming Zhang Qiaozhu Mei 141 68 0 29 Nov 2016
Input Switched Affine Networks: An RNN Architecture Designed for Interpretability Jakob N. Foerster Justin Gilmer J. Chorowski Jascha Narain Sohl-Dickstein David Sussillo 253 7 0 28 Nov 2016
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data Hila Gonen Yoav Goldberg 139 16 0 27 Nov 2016
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling Zhe Gan Chunyuan Li Changyou Chen Yunchen Pu Qinliang Su Lawrence Carin BDL UQCV 251 42 0 23 Nov 2016
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery Scott Wisdom Thomas Powers J. Pitton L. Atlas 205 36 0 22 Nov 2016
Recurrent Attention Models for Depth-Based Person Identification Albert Haque Alexandre Alahi Li Fei-Fei 3DH 132 146 0 22 Nov 2016
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks Volkan Cirik Eduard H. Hovy Louis-Philippe Morency 158 78 0 18 Nov 2016
What Do Recurrent Neural Network Grammars Learn About Syntax? Noah A. Smith Miguel Ballesteros Lingpeng Kong Chris Dyer Graham Neubig A. Kuncoro GNN 200 150 0 17 Nov 2016