Papers citing 'Visualizing and Understanding Recurrent Networks'

Title
Short-term traffic prediction using physics-aware neural networks M. Pereira Annika Lang Balázs Kulcsár 150 28 0 21 Sep 2021
CX-ToM: Counterfactual Explanations with Theory-of-Mind for Enhancing Human Trust in Image Recognition Models Arjun Reddy Akula Keze Wang Changsong Liu Sari Saba-Sadiya Hongjing Lu S. Todorovic J. Chai Song-Chun Zhu 199 55 0 03 Sep 2021
Thermostat: A Large Collection of NLP Model Explanations and Analysis ToolsConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Nils Feldhus Robert Schwarzenberg Sebastian Möller 163 14 0 31 Aug 2021
Neuron-level Interpretation of Deep NLP Models: A SurveyTransactions of the Association for Computational Linguistics (TACL), 2021 Hassan Sajjad Nadir Durrani Fahim Dalvi MILM AI4CE 301 94 0 30 Aug 2021
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory Eslam Eldeeb M. Shehab Hirley Alves 66 30 0 02 Aug 2021
Improving Deep Learning for HAR with shallow LSTMs Marius Bock Alexander Hoelzemann Michael Moeller Kristof Van Laerhoven HAI AI4TS 149 70 0 02 Aug 2021
Discovering Distinctive "Semantics" in Super-Resolution Networks Yihao Liu Anran Liu Jinjin Gu Zhipeng Zhang Wenhao Wu Yu Qiao Chao Dong SupR 149 22 0 01 Aug 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment AnalysisIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 Xingbo Wang Jianben He Zhihua Jin Muqiao Yang Yong Wang Huamin Qu 168 91 0 17 Jul 2021
SpreadsheetCoder: Formula Prediction from Semi-structured ContextInternational Conference on Machine Learning (ICML), 2021 Xinyun Chen Petros Maniatis Rishabh Singh Charles Sutton H. Dai Max Lin Denny Zhou LMTD AI4TS 186 59 0 26 Jun 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 168 3 0 26 Jun 2021
Explaining Time Series Predictions with Dynamic MasksInternational Conference on Machine Learning (ICML), 2021 Jonathan Crabbé M. Schaar FAtt AI4TS 181 105 0 09 Jun 2021
Energy-Based Models for Code Generation under Compilability Constraints Tomasz Korbak Hady ElSahar Marc Dymetman Germán Kruszewski 215 14 0 09 Jun 2021
Neural Supervised Domain Adaptation by Augmenting Pre-trained Models with Random Units Sara Meftah N. Semmar Y. Tamaazousti H. Essafi F. Sadat 156 3 0 09 Jun 2021
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural NetworksBiomedical Signal Processing and Control (BSPC), 2021 Arjun Aniket Singh Rajpoot Mahesh Raveendranatha Panicker 132 119 0 07 Jun 2021
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric VehiclesIEEE Transactions on Intelligent Vehicles (TIV), 2021 Zhaoxuan Zhu Nicola Pivaro Shobhit Gupta Abhishek Gupta Marcello Canova OffRL 121 46 0 25 May 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Hassan Sajjad Narine Kokhlikyan Fahim Dalvi Nadir Durrani MILM 297 8 0 17 May 2021
Security Vulnerability Detection Using Deep Learning Natural Language ProcessingConference on Computer Communications Workshops (INFOCOM), 2021 Noah Ziems Shaoen Wu 204 68 0 06 May 2021
Machine Learning Techniques for Software Quality Assurance: A Survey Safa Omri C. Sinz 76 5 0 29 Apr 2021
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand ProsthesesIEEE International Joint Conference on Neural Network (IJCNN), 2021 Alessandro Salatiello M. Giese 71 6 0 29 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering TransformsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 A. Saydjari D. Finkbeiner 138 22 0 22 Apr 2021
Mediators in Determining what Processing BERT Performs FirstNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Aviv Slobodkin Leshem Choshen Omri Abend MoE 189 16 0 13 Apr 2021
Automatic Correction of Internal Units in Generative Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2021 A. Tousi Haedong Jeong Jiyeon Han Hwanil Choi Jaesik Choi GAN 117 11 0 13 Apr 2021
Interpreting A Pre-trained Model Is A Key For Model Architecture Optimization: A Case Study On Wav2Vec 2.0 Liu Chen Meysam Asgari 80 1 0 07 Apr 2021
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network InterpretationProceedings of the VLDB Endowment (PVLDB), 2021 Dong He Maureen Daum Walter Cai Magdalena Balazinska HAI 246 6 0 06 Apr 2021
VisQA: X-raying Vision and Language Reasoning in TransformersIEEE Transactions on Visualization and Computer Graphics (TVCG), 2021 Theo Jaunet Corentin Kervadec Romain Vuillemot G. Antipov M. Baccouche Christian Wolf 271 32 0 02 Apr 2021
Do RNN States Encode Abstract Phonological Processes? Miikka Silfverberg Francis M. Tyers Garrett Nicolai Mans Hulden 110 1 0 01 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 131 10 0 18 Mar 2021
Visualizing MuZero Models Joery A. de Vries K. Voskuil Thomas M. Moerland Aske Plaat 233 10 0 25 Feb 2021
Feature Importance Explanations for Temporal Black-Box ModelsAAAI Conference on Artificial Intelligence (AAAI), 2021 Akshay Sood M. Craven FAtt OOD 204 23 0 23 Feb 2021
Formal Language Theory Meets Modern NLP William Merrill AI4CE NAI 346 17 0 19 Feb 2021
An Operator Theoretic Approach for Analyzing Sequence Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Ilana D Naiman Omri Azencot 248 13 0 15 Feb 2021
Towards More Fine-grained and Reliable NLP Performance PredictionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Zihuiwen Ye Pengfei Liu Jinlan Fu Graham Neubig 272 35 0 10 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 288 37 0 02 Feb 2021
On the Interpretability of Deep Learning Based Models for Knowledge Tracing Xinyi Ding Eric C. Larson 130 11 0 27 Jan 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2021 Xinyang Zhang Ren Pang S. Ji Fenglong Ma Ting Wang HAI AI4CE 127 6 0 22 Jan 2021
Explain and Predict, and then Predict AgainWeb Search and Data Mining (WSDM), 2021 Zijian Zhang Koustav Rudra Avishek Anand FAtt 267 57 0 11 Jan 2021
Sensei: Self-Supervised Sensor Name SegmentationFindings (Findings), 2021 Jiaman Wu Dezhi Hong Rajesh K. Gupta Jingbo Shang 94 1 0 01 Jan 2021
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 121 32 0 18 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 511 286 0 09 Dec 2020
exploRNN: Understanding Recurrent Neural Networks through Visual ExplorationThe Visual Computer (Vis. Comput.), 2020 Alex Bauerle Patrick Albus Raphael Störk Tina Seufert Timo Ropinski 122 5 0 09 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Leilei Gan Jiwei Li MILM XAI LRM FAtt 286 41 0 03 Dec 2020
A journey in ESN and LSTM visualisations on a language task Alexandre Variengien X. Hinaut 217 9 0 03 Dec 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 231 1 0 12 Nov 2020
Explain by Evidence: An Explainable Memory-based Neural Network for Question Answering Quan Hung Tran Nhan Dam T. Lai Franck Dernoncourt Trung Le Nham Le Dinh Q. Phung FAtt 105 4 0 05 Nov 2020
The geometry of integration in text classification RNNsInternational Conference on Learning Representations (ICLR), 2020 Kyle Aitken V. Ramasesh Ankush Garg Yuan Cao David Sussillo Niru Maheswaranathan AI4CE 164 15 0 28 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 209 7 0 23 Oct 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 212 73 0 22 Oct 2020
Difference-in-Differences: Bridging Normalization and Disentanglement in PG-GAN Xiao-Yang Liu Jiajin Zhang Siting Li Zuotong Wu Yang Yu 78 0 0 16 Oct 2020
Interpreting Deep Learning Model Using Rule-based Method Xiaojian Wang Jingyuan Wang Ke Tang 94 3 0 15 Oct 2020
RNNs can generate bounded hierarchical languages with optimal memory John Hewitt Michael Hahn Surya Ganguli Abigail Z. Jacobs Christopher D. Manning LRM 207 57 0 15 Oct 2020