Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 455 papers shown

Title
Understanding the Role of Individual Units in a Deep Neural Network David Bau Jun-Yan Zhu Hendrik Strobelt Àgata Lapedriza Bolei Zhou Antonio Torralba GAN 14 436 0 10 Sep 2020
On Computability, Learnability and Extractability of Finite State Machines from Recurrent Neural Networks Reda Marzouk 10 2 0 10 Sep 2020
Applying Incremental Deep Neural Networks-based Posture Recognition Model for Injury Risk Assessment in Construction Junqi Zhao E. Obonyo 11 2 0 04 Aug 2020
On the relationship between class selectivity, dimensionality, and robustness Matthew L. Leavitt Ari S. Morcos 16 6 0 08 Jul 2020
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories Dat Hong Tong Wang Stephen S. Baek AI4TS 22 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 13 14 0 02 Jul 2020
On Lyapunov Exponents for RNNs: Understanding Information Propagation Using Dynamical Systems Tools Ryan H. Vogt M. P. Touzel Eli Shlizerman Guillaume Lajoie 15 38 0 25 Jun 2020
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model Ren Yang Fabian Mentzer Luc Van Gool Radu Timofte 18 138 0 24 Jun 2020
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI Antonio Bărbălău Adrian Cosma Radu Tudor Ionescu Marius Popescu 17 9 0 06 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 28 266 0 29 May 2020
Joint learning of interpretation and distillation Jinchao Huang Guofu Li Zhicong Yan Fucai Luo Shenghong Li FedML FAtt 9 1 0 24 May 2020
Separation of Memory and Processing in Dual Recurrent Neural Networks Christian Oliva Luis F. Lago-Fernández 23 1 0 17 May 2020
Towards Frequency-Based Explanation for Robust CNN Zifan Wang Yilin Yang Ankit Shrivastava Varun Rawal Zihao Ding AAML FAtt 21 47 0 06 May 2020
Influence Paths for Characterizing Subject-Verb Number Agreement in LSTM Language Models Kaiji Lu Piotr (Peter) Mardziel Klas Leino Matt Fredrikson Anupam Datta 13 10 0 03 May 2020
Visualizing Deep Learning-based Radio Modulation Classifier Liang Huang You Zhang Weijian Pan Jinyin Chen L. Qian Yuan Wu 22 32 0 03 May 2020
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models Isabel Papadimitriou Dan Jurafsky 32 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 33 17 0 27 Apr 2020
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 22 22 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 28 2 0 07 Apr 2020
Distance and Equivalence between Finite State Machines and Recurrent Neural Networks: Computational results Reda Marzouk C. D. L. Higuera 8 7 0 01 Apr 2020
Information-Theoretic Probing with Minimum Description Length Elena Voita Ivan Titov 23 270 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 13 26 0 24 Mar 2020
Layerwise Knowledge Extraction from Deep Convolutional Networks S. Odense Artur Garcez FAtt 23 9 0 19 Mar 2020
Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs Matthew L. Leavitt Ari S. Morcos 58 33 0 03 Mar 2020
Sampling for Deep Learning Model Diagnosis (Technical Report) Parmita Mehta S. Portillo Magdalena Balazinska Andrew J. Connolly LM&MA MLAU 11 2 0 22 Feb 2020
Assessing the Memory Ability of Recurrent Neural Networks Cheng Zhang Qiuchi Li L. Hua D. Song 9 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 22 1 0 23 Jan 2020
Deep Learning for Sensor-based Human Activity Recognition: Overview, Challenges and Opportunities Kaixuan Chen Dalin Zhang Lina Yao Bin Guo Zhiwen Yu Yunhao Liu HAI 42 619 0 21 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 38 300 0 08 Jan 2020
Explain Your Move: Understanding Agent Actions Using Specific and Relevant Feature Attribution Nikaash Puri Sukriti Verma Piyush B. Gupta Dhruv Kayastha Shripad Deshmukh Balaji Krishnamurthy Sameer Singh FAtt AAML 19 75 0 23 Dec 2019
Novel Deep Learning Framework for Wideband Spectrum Characterization at Sub-Nyquist Rate Shivam Chandhok H. Joshi A. V. Subramanyam S. Darak 30 19 0 11 Dec 2019
Neural Machine Translation: A Review and Survey Felix Stahlberg 3DV AI4TS MedIm 25 312 0 04 Dec 2019
EMAP: Explanation by Minimal Adversarial Perturbation M. Chapman-Rounds Marc-Andre Schulz Erik Pazos K. Georgatzis AAML FAtt 10 6 0 02 Dec 2019
Char-RNN and Active Learning for Hashtag Segmentation T. Glushkova Ekaterina Artemova SSeg 11 3 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 15 1 0 05 Nov 2019
On the Linguistic Representational Power of Neural Machine Translation Models Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass MILM 33 68 0 01 Nov 2019
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances Wenjie Lu Dikai Liu 8 0 0 01 Nov 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail Mohamed K. Gunady L. Pessoa H. C. Bravo S. Feizi AI4TS 25 50 0 27 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI 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 41 6,119 0 22 Oct 2019
Interpretable Text Classification Using CNN and Max-pooling Hao Cheng Xiaoqing Yang Zang Li Yanghua Xiao Yucheng Lin FAtt 14 5 0 14 Oct 2019
Interrogating the Explanatory Power of Attention in Neural Machine Translation Pooya Moradi Nishant Kambhatla Anoop Sarkar 21 16 0 30 Sep 2019
Gradient Descent: The Ultimate Optimizer Kartik Chandra Audrey Xie Jonathan Ragan-Kelley E. Meijer ODL 28 0 0 29 Sep 2019
Multi-Dimensional Explanation of Target Variables from Documents Diego Antognini C. Musat Boi Faltings 30 2 0 25 Sep 2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models Eric Wallace Jens Tuyls Junlin Wang Sanjay Subramanian Matt Gardner Sameer Singh MILM 25 137 0 19 Sep 2019
Generating Philosophical Statements using Interpolated Markov Models and Dynamic Templates Thomas Winters 17 3 0 19 Sep 2019
Social and Scene-Aware Trajectory Prediction in Crowded Spaces Matteo Lisotto Pasquale Coscia Lamberto Ballan 34 68 0 19 Sep 2019
X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust Arjun Reddy Akula Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 24 18 0 15 Sep 2019
Analyzing machine-learned representations: A natural language case study Ishita Dasgupta Demi Guo S. Gershman Noah D. Goodman NAI 16 13 0 12 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units Yujeong Choi Minsoo Rhu 6 127 0 06 Sep 2019