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Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 458 papers shown

Title
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 80 13 0 12 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 142 36 0 06 Sep 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units Yujeong Choi Minsoo Rhu 61 135 0 06 Sep 2019
Visualizing RNN States with Predictive Semantic Encodings Lindsey Sawatzky Steven Bergner F. Popowich 62 6 0 01 Aug 2019
Deep Multi-Kernel Convolutional LSTM Networks and an Attention-Based Mechanism for Videos Sebastian Agethen Winston H. Hsu HAI 79 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 54 34 0 29 Jul 2019
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 68 141 0 23 Jul 2019
Sparsity Emerges Naturally in Neural Language Models Naomi Saphra Adam Lopez MILM 28 1 0 22 Jul 2019
Self-Attentive Hawkes Processes Qiang Zhang Aldo Lipani Ömer Kirnap Emine Yilmaz AI4TS 132 45 0 17 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 202 1,466 0 17 Jul 2019
Improving the Performance of the LSTM and HMM Model via Hybridization Larkin Liu Yu-Chung Lin Joshua Reid 128 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 36 1 0 04 Jul 2019
Understanding Memory Modules on Learning Simple Algorithms Kexin Wang Yu Zhou Shaonan Wang Jiajun Zhang Chengqing Zong 90 0 0 01 Jul 2019
Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts Denis Emelin Ivan Titov Rico Sennrich 58 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 81 83 0 25 Jun 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 112 757 0 19 Jun 2019
Open Sesame: Getting Inside BERT's Linguistic Knowledge Yongjie Lin Y. Tan Robert Frank 96 287 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 76 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 35 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 73 13 0 29 May 2019
Interpreting a Recurrent Neural Network's Predictions of ICU Mortality Risk L. Ho M. Aczon D. Ledbetter R. Wetzel 46 3 0 23 May 2019
Mutual Information Scaling and Expressive Power of Sequence Models Huitao Shen 85 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 85 17 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 58 20 0 29 Apr 2019
Multi-modal gated recurrent units for image description Xuelong Li Aihong Yuan Xiaoqiang Lu GAN 43 26 0 20 Apr 2019
Attentive Action and Context Factorization Yanjie Wang Vinh Tran Gedas Bertasius Lorenzo Torresani Minh Hoai 33 6 0 10 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 98 32 0 02 Apr 2019
On Attribution of Recurrent Neural Network Predictions via Additive Decomposition Mengnan Du Ninghao Liu Fan Yang Shuiwang Ji Helen Zhou FAtt 76 51 0 27 Mar 2019
Linguistic Knowledge and Transferability of Contextual Representations Nelson F. Liu Matt Gardner Yonatan Belinkov Matthew E. Peters Noah A. Smith 169 735 0 21 Mar 2019
NeuralHydrology -- Interpreting LSTMs in Hydrology Frederik Kratzert M. Herrnegger D. Klotz Sepp Hochreiter Günter Klambauer 60 86 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 99 173 0 18 Mar 2019
Technical notes: Syntax-aware Representation Learning With Pointer Networks Matteo Grella 59 0 0 17 Mar 2019
Character Eyes: Seeing Language through Character-Level Taggers Yuval Pinter Marc Marone Jacob Eisenstein 66 7 0 12 Mar 2019
Probabilistic Modeling for Novelty Detection with Applications to Fraud Identification Rémi Domingues AAML 50 3 0 05 Mar 2019
A comparative evaluation of novelty detection algorithms for discrete sequences Rémi Domingues Pietro Michiardi Jérémie Barlet Maurizio Filippone 50 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 123 22 0 27 Feb 2019
Phoneme Level Language Models for Sequence Based Low Resource ASR Siddharth Dalmia Xinjian Li A. Black Florian Metze 46 7 0 20 Feb 2019
Understanding and Controlling Memory in Recurrent Neural Networks Doron Haviv A. Rivkind O. Barak 44 21 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 55 24 0 18 Feb 2019
LS-Tree: Model Interpretation When the Data Are Linguistic Jianbo Chen Michael I. Jordan 71 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 76 286 0 05 Feb 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping Michael Moor Max Horn Bastian Rieck D. Roqueiro Karsten Borgwardt 40 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 83 47 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 61 61 0 29 Jan 2019
How do Mixture Density RNNs Predict the Future? K. Ellefsen Charles Patrick Martin J. Tørresen 66 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 207 2,325 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 21 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 31 0 0 16 Jan 2019
Interpretable machine learning: definitions, methods, and applications W. James Murdoch Chandan Singh Karl Kumbier R. Abbasi-Asl Bin Yu XAI HAI 221 1,459 0 14 Jan 2019
Recurrent Neural Networks for Time Series Forecasting Gábor Petneházi AI4TS 110 115 0 01 Jan 2019