Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 455 papers shown

Title
Visualizing RNN States with Predictive Semantic Encodings Lindsey Sawatzky Steven Bergner F. Popowich 9 6 0 01 Aug 2019
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos Sebastian Agethen Winston H. Hsu HAI 24 25 0 30 Jul 2019
RNNbow: Visualizing Learning via Backpropagation Gradients in Recurrent Neural Networks Dylan Cashman Genevieve Patterson Abigail Mosca Nathan Watts Shannon Robinson Remco Chang FAtt 12 34 0 29 Jul 2019
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 12 138 0 23 Jul 2019
Sparsity Emerges Naturally in Neural Language Models Naomi Saphra Adam Lopez MILM 14 1 0 22 Jul 2019
Self-Attentive Hawkes Processes Qiang Zhang Aldo Lipani Ömer Kirnap Emine Yilmaz AI4TS 20 45 0 17 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 56 1,416 0 17 Jul 2019
Improving the Performance of the LSTM and HMM Model via Hybridization Larkin Liu Yu-Chung Lin Joshua Reid 22 9 0 09 Jul 2019
A Comparative Analysis of Knowledge-Intensive and Data-Intensive Semantic Parsers Junjie Cao Zi-yu Lin Weiwei SUN Xiaojun Wan 16 1 0 04 Jul 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 34 0 0 01 Jul 2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts Denis Emelin Ivan Titov Rico Sennrich 19 10 0 28 Jun 2019
Reverse engineering recurrent networks for sentiment classification reveals line attractor dynamics Niru Maheswaranathan Alex H. Williams Matthew D. Golub Surya Ganguli David Sussillo 26 78 0 25 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 39 739 0 19 Jun 2019
Open Sesame: Getting Inside BERT's Linguistic Knowledge Yongjie Lin Y. Tan Robert Frank 12 296 0 04 Jun 2019
On the Realization of Compositionality in Neural Networks Joris Baan Jana Leible Mitja Nikolaus David Rau Dennis Ulmer Tim Baumgärtner Dieuwke Hupkes Elia Bruni CoGe 21 16 0 04 Jun 2019
Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network Jennifer L. Cardona M. Howland J. Dabiri 11 29 0 30 May 2019
Clustering and Recognition of Spatiotemporal Features through Interpretable Embedding of Sequence to Sequence Recurrent Neural Networks Kun Su Eli Shlizerman 36 13 0 29 May 2019
Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk L. Ho M. Aczon D. Ledbetter R. Wetzel 25 3 0 23 May 2019
Mutual Information Scaling and Expressive Power of Sequence Models Huitao Shen 15 18 0 10 May 2019
Learning higher-order sequential structure with cloned HMMs Antoine Dedieu Nishad Gothoskar Scott Swingle Wolfgang Lehrach Miguel Lazaro-Gredilla Dileep George 17 16 0 01 May 2019
Optical Transient Object Classification in Wide Field Small Aperture Telescopes with Neural Networks P. Jia Yifei Zhao Gang Xue Dongmei Cai 19 20 0 29 Apr 2019
Multi-modal gated recurrent units for image description Xuelong Li Aihong Yuan Xiaoqiang Lu GAN 21 26 0 20 Apr 2019
Attentive Action and Context Factorization Yanjie Wang Vinh Tran Gedas Bertasius Lorenzo Torresani Minh Hoai 17 6 0 10 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 21 32 0 02 Apr 2019
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Mengnan Du Ninghao Liu Fan Yang Shuiwang Ji Xia Hu FAtt 11 50 0 27 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 52 719 0 21 Mar 2019
NeuralHydrology -- Interpreting LSTMs in Hydrology Frederik Kratzert M. Herrnegger D. Klotz Sepp Hochreiter Günter Klambauer 11 85 0 19 Mar 2019
The emergence of number and syntax units in LSTM language models Yair Lakretz Germán Kruszewski T. Desbordes Dieuwke Hupkes S. Dehaene Marco Baroni 6 167 0 18 Mar 2019
Technical notes: Syntax-aware Representation Learning With Pointer Networks Matteo Grella 15 0 0 17 Mar 2019
Character Eyes: Seeing Language through Character-Level Taggers Yuval Pinter Marc Marone Jacob Eisenstein 19 7 0 12 Mar 2019
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification Rémi Domingues AAML 22 3 0 05 Mar 2019
A comparative evaluation of novelty detection algorithms for discrete sequences Rémi Domingues Pietro Michiardi Jérémie Barlet Maurizio Filippone 17 20 0 28 Feb 2019
Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks Joshua J. Michalenko Ameesh Shah Abhinav Verma Richard G. Baraniuk Swarat Chaudhuri Ankit B. Patel AI4CE 22 21 0 27 Feb 2019
Phoneme Level Language Models for Sequence Based Low Resource ASR Siddharth Dalmia Xinjian Li A. Black Florian Metze 16 7 0 20 Feb 2019
Understanding and Controlling Memory in Recurrent Neural Networks Doron Haviv A. Rivkind O. Barak 19 20 0 19 Feb 2019
Discovery of Natural Language Concepts in Individual Units of CNNs Seil Na Yo Joong Choe Dong-Hyun Lee Gunhee Kim MILM 21 21 0 18 Feb 2019
LS-Tree: Model Interpretation When the Data Are Linguistic Jianbo Chen Michael I. Jordan 29 18 0 11 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 18 285 0 05 Feb 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping Michael Moor Max Horn Bastian Alexander Rieck D. Roqueiro Karsten M. Borgwardt 11 14 0 05 Feb 2019
Saliency Tubes: Visual Explanations for Spatio-Temporal Convolutions Alexandros Stergiou G. Kapidis Grigorios Kalliatakis C. Chrysoulas R. Veltkamp R. Poppe FAtt 21 46 0 04 Feb 2019
On the Units of GANs (Extended Abstract) David Bau Jun-Yan Zhu Hendrik Strobelt Bolei Zhou J. Tenenbaum William T. Freeman Antonio Torralba 6 61 0 29 Jan 2019
How do Mixture Density RNNs Predict the Future? K. Ellefsen Charles Patrick Martin J. Tørresen 17 13 0 23 Jan 2019
A Survey of the Recent Architectures of Deep Convolutional Neural Networks Asifullah Khan A. Sohail Umme Zahoora Aqsa Saeed Qureshi OOD 65 2,271 0 17 Jan 2019
Formal models of Structure Building in Music, Language and Animal Songs Willem H. Zuidema Dieuwke Hupkes Geraint A. Wiggins C. Scharff M. Rohrmeier 14 2 0 16 Jan 2019
Variable-sized input, character-level recurrent neural networks in lead generation: predicting close rates from raw user inputs Giulio Giorcelli AI4TS 16 0 0 16 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin-Xia Yu XAI HAI 47 1,421 0 14 Jan 2019
Recurrent Neural Networks for Time Series Forecasting Gábor Petneházi AI4TS 20 112 0 01 Jan 2019
What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models Fahim Dalvi Nadir Durrani Hassan Sajjad Yonatan Belinkov A. Bau James R. Glass MILM 25 186 0 21 Dec 2018
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 39 547 0 21 Dec 2018
Human Motion Prediction via Spatio-Temporal Inpainting Alejandro Hernandez Ruiz Juergen Gall Francesc Moreno-Noguer 3DH 30 211 0 13 Dec 2018