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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
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Leilei Gan Jiwei Li FAtt 226 10 0 14 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality Matthew L. Leavitt Ari S. Morcos AAML 131 2 0 14 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text ClassifiersConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 183 57 0 10 Oct 2020
Simplifying the explanation of deep neural networks with sufficient and necessary feature-sets: case of text classification Florentin Flambeau Jiechieu Kameni Norbert Tsopzé XAI FAtt MedIm 89 1 0 08 Oct 2020
Intrinsic Probing through Dimension Selection Lucas Torroba Hennigen Adina Williams Robert Bamler 175 60 0 06 Oct 2020
Analyzing Individual Neurons in Pre-trained Language Models Nadir Durrani Hassan Sajjad Fahim Dalvi Yonatan Belinkov MILM 192 117 0 06 Oct 2020
Linguistic Profiling of a Neural Language ModelInternational Conference on Computational Linguistics (COLING), 2020 Alessio Miaschi D. Brunato F. Dell’Orletta Giulia Venturi 213 49 0 05 Oct 2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural TextInternational Conference on Computational Linguistics (COLING), 2020 Chihiro Shibata Kei Uchiumi D. Mochihashi 132 7 0 01 Oct 2020
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic FrameworkIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Qi Tan Yang Liu Jiming Liu AI4TS 167 9 0 14 Sep 2020
Understanding the Role of Individual Units in a Deep Neural NetworkProceedings of the National Academy of Sciences of the United States of America (PNAS), 2020 David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 196 496 0 10 Sep 2020
On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks Reda Marzouk 138 2 0 10 Sep 2020
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction Junqi Zhao E. Obonyo 70 3 0 04 Aug 2020
On the relationship between class selectivity, dimensionality, and robustness Matthew L. Leavitt Ari S. Morcos 156 6 0 08 Jul 2020
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories Dat Hong Tong Wang Stephen S. Baek AI4TS 193 0 0 03 Jul 2020
Are there any óbject detectors' in the hidden layers of CNNs trained to identify objects or scenes? E. Gale Nicholas Martin R. Blything Anh Nguyen J. Bowers 123 15 0 02 Jul 2020
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems ToolsFrontiers in Applied Mathematics and Statistics (FAMS), 2020 Ryan H. Vogt M. P. Touzel Eli Shlizerman Guillaume Lajoie 189 49 0 25 Jun 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability ModelIEEE Journal on Selected Topics in Signal Processing (JSTSP), 2020 Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 315 155 0 24 Jun 2020
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI Antonio Bărbălău Adrian Cosma Radu Tudor Ionescu Marius Popescu 146 9 0 06 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 523 299 0 29 May 2020
Joint learning of interpretation and distillation Jinchao Huang Guofu Li Zhicong Yan Fucai Luo Shenghong Li FedML FAtt 78 1 0 24 May 2020
Separation of Memory and Processing in Dual Recurrent Neural Networks Christian Oliva Luis F. Lago-Fernández 93 1 0 17 May 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 143 53 0 06 May 2020
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 Kaiji Lu Piotr (Peter) Mardziel Klas Leino Matt Fredrikson Anupam Datta 152 10 0 03 May 2020
Visualizing Deep Learning-based Radio Modulation ClassifierIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2020 Liang Huang You Zhang Weijian Pan Jinyin Chen L. Qian Yuan Wu 125 41 0 03 May 2020
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models Isabel Papadimitriou Dan Jurafsky 243 9 0 30 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 191 21 0 27 Apr 2020
How recurrent networks implement contextual processing in sentiment analysisInternational Conference on Machine Learning (ICML), 2020 Niru Maheswaranathan David Sussillo 117 25 0 17 Apr 2020
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents Richard Meyes Moritz Schneider Tobias Meisen 87 2 0 07 Apr 2020
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results Reda Marzouk C. D. L. Higuera 177 7 0 01 Apr 2020
Information-Theoretic Probing with Minimum Description LengthConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 Elena Voita Ivan Titov 222 294 0 27 Mar 2020
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications Kaiping Zheng Shaofeng Cai H. Chua Wei Wang K. Ngiam Beng Chin Ooi AI4TS 122 27 0 24 Mar 2020
Layerwise Knowledge Extraction from Deep Convolutional Networks S. Odense Artur Garcez FAtt 108 15 0 19 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNsInternational Conference on Learning Representations (ICLR), 2020 Matthew L. Leavitt Ari S. Morcos 204 34 0 03 Mar 2020
Sampling for Deep Learning Model Diagnosis (Technical Report) Parmita Mehta S. Portillo Magdalena Balazinska Andrew J. Connolly LM&MA MLAU 94 2 0 22 Feb 2020
Assessing the Memory Ability of Recurrent Neural NetworksEuropean Conference on Artificial Intelligence (ECAI), 2020 Cheng Zhang Qiuchi Li L. Hua D. Song 109 6 0 18 Feb 2020
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks Chuan-Chi Wang Xumeng Wang K. Ma FAtt HAI 112 1 0 23 Jan 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2020 Kaixuan Chen Dalin Zhang Lina Yao Bin Guo Zhiwen Yu Yunhao Liu HAI 236 746 0 21 Jan 2020
On Interpretability of Artificial Neural Networks: A SurveyIEEE Transactions on Radiation and Plasma Medical Sciences (TRPMS), 2020 Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 365 369 0 08 Jan 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature AttributionInternational Conference on Learning Representations (ICLR), 2019 Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 269 93 0 23 Dec 2019
Novel Deep Learning Framework for Wideband Spectrum Characterization at Sub-Nyquist RateWireless networks (WN), 2019 Shivam Chandhok H. Joshi A. V. Subramanyam S. Darak 118 22 0 11 Dec 2019
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019 Felix Stahlberg 3DV AI4TS MedIm 319 371 0 04 Dec 2019
EMAP: Explanation by Minimal Adversarial Perturbation M. Chapman-Rounds Marc-Andre Schulz Erik Pazos K. Georgatzis AAML FAtt 105 8 0 02 Dec 2019
Char-RNN and Active Learning for Hashtag SegmentationConference on Intelligent Text Processing and Computational Linguistics (CICLing), 2019 T. Glushkova Ekaterina Artemova SSeg 111 4 0 08 Nov 2019
GRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction Thai V. Le Suhang Wang Dongwon Lee 147 1 0 05 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation ModelsInternational Conference on Computational Logic (ICCL), 2019 Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass MILM 195 74 0 01 Nov 2019
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances Wenjie Lu Dikai Liu 84 0 0 01 Nov 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural NetworksNeural Information Processing Systems (NeurIPS), 2019 Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo Soheil Feizi AI4TS 193 51 0 27 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AIInformation Fusion (Inf. Fusion), 2019 Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 714 7,350 0 22 Oct 2019
Interpretable Text Classification Using CNN and Max-pooling Hao Cheng Xiaoqing Yang Zang Li Yanghua Xiao Yucheng Lin FAtt 113 5 0 14 Oct 2019
Interrogating the Explanatory Power of Attention in Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 Pooya Moradi Nishant Kambhatla Anoop Sarkar 220 17 0 30 Sep 2019