v1v2 (latest)

Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 458 papers shown

Title
Learning Language Representations for Typology Prediction Chaitanya Malaviya Graham Neubig Patrick Littell 110 109 0 29 Jul 2017
An Embedded Deep Learning based Word Prediction Seunghak Yu Nilesh Kulkarni Haejun Lee J. Kim 56 0 0 06 Jul 2017
Automatic Generation of Natural Language Explanations F. Costa Sixun Ouyang Peter Dolog A. Lawlor 101 98 0 04 Jul 2017
Improving Distributed Representations of Tweets - Present and Future J. Ganesh SSL OOD AI4TS 34 1 0 29 Jun 2017
Cognitive Psychology for Deep Neural Networks: A Shape Bias Case Study Samuel Ritter David Barrett Adam Santoro M. Botvinick 110 196 0 26 Jun 2017
YellowFin and the Art of Momentum Tuning Jian Zhang Ioannis Mitliagkas ODL 101 108 0 12 Jun 2017
A Maximum Matching Algorithm for Basis Selection in Spectral Learning A. Quattoni X. Carreras Matthias Gallé 51 9 0 09 Jun 2017
Gated Orthogonal Recurrent Units: On Learning to Forget Li Jing Çağlar Gülçehre J. Peurifoy Yichen Shen Max Tegmark Marin Soljacic Yoshua Bengio 99 126 0 08 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 114 83 0 29 May 2017
Techniques for visualizing LSTMs applied to electrocardiograms J. Westhuizen Joan Lasenby AI4TS 47 5 0 23 May 2017
Detecting Statistical Interactions from Neural Network Weights Michael Tsang Dehua Cheng Yan Liu 110 193 0 14 May 2017
Forced to Learn: Discovering Disentangled Representations Without Exhaustive Labels Alexey Romanov Anna Rumshisky OOD SSL DRL 29 1 0 01 May 2017
Semi-supervised sequence tagging with bidirectional language models Matthew E. Peters Bridger Waleed Ammar Chandra Bhagavatula Russell Power 110 636 0 29 Apr 2017
Improving Context Aware Language Models Aaron Jaech Mari Ostendorf 50 3 0 21 Apr 2017
Predictive-Corrective Networks for Action Detection Achal Dave Olga Russakovsky Deva Ramanan AI4TS 172 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 144 415 0 11 Apr 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 139 510 0 05 Apr 2017
A Hybrid Data Association Framework for Robust Online Multi-Object Tracking Min Yang Yuwei Wu Yunde Jia VOT 77 57 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 62 40 0 22 Mar 2017
Dance Dance Convolution Chris Donahue Zachary Chase Lipton Julian McAuley 66 36 0 20 Mar 2017
Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks Nanyang Ye Zhanxing Zhu Rafał K. Mantiuk 92 21 0 13 Mar 2017
Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong Hang Su Jun Zhu Bo Zhang 117 126 0 12 Mar 2017
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG A. Supratak Hao Dong Chao Wu Yike Guo 117 962 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 82 65 0 07 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial Graham Neubig AIMat 117 173 0 05 Mar 2017
Progress Estimation and Phase Detection for Sequential Processes Xinyu Li Yanyi Zhang Jianyu Zhang Yueyang Chen Shuhong Chen Yue Gu Moliang Zhou Richard A. Farneth I. Marsic R. Burd 67 18 0 28 Feb 2017
Task-driven Visual Saliency and Attention-based Visual Question Answering Yuetan Lin Zhangyang Pang Donghui Wang Yueting Zhuang 61 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 63 36 0 06 Feb 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 379 1,551 0 25 Jan 2017
The Neural Hawkes Process: A Neurally Self-Modulating Multivariate Point Process Hongyuan Mei Jason Eisner BDL AI4TS 79 75 0 29 Dec 2016
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 165 570 0 24 Dec 2016
Top-down Visual Saliency Guided by Captions Vasili Ramanishka Abir Das Jianming Zhang Kate Saenko 95 143 0 21 Dec 2016
Music Generation with Deep Learning Vasanth Kalingeri Srikanth Grandhe MGen 55 24 0 15 Dec 2016
Predicting Process Behaviour using Deep Learning Joerg Evermann Jana-Rebecca Rehse Peter Fettke 100 361 0 14 Dec 2016
Learning Operations on a Stack with Neural Turing Machines T. Deleu Joseph Dureau 48 8 0 02 Dec 2016
Capacity and Trainability in Recurrent Neural Networks Jasmine Collins Jascha Narain Sohl-Dickstein David Sussillo 123 205 0 29 Nov 2016
Context-aware Natural Language Generation with Recurrent Neural Networks Jian Tang Yifan Yang Samuel Carton Ming Zhang Qiaozhu Mei 89 67 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 115 7 0 28 Nov 2016
Semi Supervised Preposition-Sense Disambiguation using Multilingual Data Hila Gonen Yoav Goldberg 73 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 139 41 0 23 Nov 2016
Interpretable Recurrent Neural Networks Using Sequential Sparse Recovery Scott Wisdom Thomas Powers J. Pitton L. Atlas 100 36 0 22 Nov 2016
Recurrent Attention Models for Depth-Based Person Identification Albert Haque Alexandre Alahi Li Fei-Fei 3DH 93 142 0 22 Nov 2016
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks Volkan Cirik Eduard H. Hovy Louis-Philippe Morency 63 72 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 105 148 0 17 Nov 2016
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs Shayne Longpre Sabeek Pradhan Caiming Xiong R. Socher VLM AI4TS 78 10 0 16 Nov 2016
Diversity encouraged learning of unsupervised LSTM ensemble for neural activity video prediction Yilin Song J. Viventi Yao Wang AI4TS 62 2 0 15 Nov 2016
Song From PI: A Musically Plausible Network for Pop Music Generation Hang Chu R. Urtasun Sanja Fidler MGen 86 137 0 10 Nov 2016
Entropy-SGD: Biasing Gradient Descent Into Wide Valleys Pratik Chaudhari A. Choromańska Stefano Soatto Yann LeCun Carlo Baldassi C. Borgs J. Chayes Levent Sagun R. Zecchina ODL 146 775 0 06 Nov 2016
Loss-aware Binarization of Deep Networks Lu Hou Quanming Yao James T. Kwok MQ 128 220 0 05 Nov 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies Tal Linzen Emmanuel Dupoux Yoav Goldberg 185 907 0 04 Nov 2016