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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
FSLens: A Visual Analytics Approach to Evaluating and Optimizing the Spatial Layout of Fire StationsIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Long-fei Chen He Wang Ouyang Yang Yang Zhou Naiyu Wang Quan Li 131 10 0 23 Jul 2023
Unveiling Vulnerabilities in Interpretable Deep Learning Systems with Query-Efficient Black-box Attacks Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 124 3 0 21 Jul 2023
Visual Analytics For Machine Learning: A Data Perspective SurveyIEEE Transactions on Visualization and Computer Graphics (TVCG), 2023 Junpeng Wang Shixia Liu Wei Zhang HAI 191 35 0 15 Jul 2023
Microbial Genetic Algorithm-based Black-box Attack against Interpretable Deep Learning Systems Eldor Abdukhamidov Mohammed Abuhamad Simon S. Woo Eric Chan-Tin Tamer Abuhmed AAML 116 1 0 13 Jul 2023
Examining the Causal Effect of First Names on Language Models: The Case of Social Commonsense Reasoning Sullam Jeoung Jana Diesner H. Kilicoglu LRM 105 6 0 01 Jun 2023
NeuroX Library for Neuron Analysis of Deep NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Fahim Dalvi Hassan Sajjad Nadir Durrani 205 14 0 26 May 2023
A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation AnalysisConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Alessandro Stolfo Yonatan Belinkov Mrinmaya Sachan MILM KELM LRM 241 64 0 24 May 2023
Can LLMs facilitate interpretation of pre-trained language models?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Basel Mousi Nadir Durrani Fahim Dalvi 260 15 0 22 May 2023
Explaining black box text modules in natural language with language models Chandan Singh Aliyah R. Hsu Richard Antonello Shailee Jain Alexander G. Huth Bin Yu Jianfeng Gao MILM 216 66 0 17 May 2023
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity RecognitionProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (IMWUT), 2023 Marius Bock Hilde Kuehne Kristof Van Laerhoven Michael Moeller EgoV 470 47 0 11 Apr 2023
Exposing the Functionalities of Neurons for Gated Recurrent Unit Based Sequence-to-Sequence Model Yi-Ting Lee Da-Yi Wu Chih-Chun Yang Shou-De Lin MILM 150 1 0 27 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State AbstractionInternational Conference on Human Factors in Computing Systems (CHI), 2023 Zhijie Wang Yuheng Huang Basel Alomair Lei Ma Tianyi Zhang HAI 184 8 0 02 Mar 2023
Toward a Theory of Causation for Interpreting Neural Code ModelsIEEE Transactions on Software Engineering (TSE), 2023 David Nader-Palacio Alejandro Velasco Nathan Cooper Á. Rodríguez Kevin Moran Denys Poshyvanyk 359 22 0 07 Feb 2023
Evaluating Neuron Interpretation Methods of NLP ModelsNeural Information Processing Systems (NeurIPS), 2023 Yimin Fan Fahim Dalvi Nadir Durrani Hassan Sajjad 237 9 0 30 Jan 2023
Explaining Deep Learning Hidden Neuron Activations using Concept Induction Abhilekha Dalal Md Kamruzzaman Sarker Adrita Barua Pascal Hitzler FAtt 84 2 0 23 Jan 2023
Hierarchical Explanations for Video Action Recognition Sadaf Gulshad Teng Long Nanne van Noord FAtt 304 13 0 01 Jan 2023
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building ModelsApplied Energy (Appl. Energy), 2022 L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 379 38 0 23 Dec 2022
State-Regularized Recurrent Neural Networks to Extract Automata and Explain PredictionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 175 3 0 10 Dec 2022
Finding Skill Neurons in Pre-trained Transformer-based Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Xiaozhi Wang Kaiyue Wen Zhengyan Zhang Lei Hou Zhiyuan Liu Juanzi Li MILM MoE 169 59 0 14 Nov 2022
Machine learning-based approach for online fault Diagnosis of Discrete Event SystemIFAC-PapersOnLine (IFAC-PapersOnLine), 2022 R. Saddem D. Baptiste 47 3 0 24 Oct 2022
Probing with Noise: Unpicking the Warp and Weft of EmbeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022 Filip Klubicka John D. Kelleher 149 4 0 21 Oct 2022
On the Explainability of Natural Language Processing Deep ModelsACM Computing Surveys (ACM CSUR), 2022 Julia El Zini M. Awad 212 105 0 13 Oct 2022
Feature Importance for Time Series Data: Improving KernelSHAP M. Villani J. Lockhart Daniele Magazzeni FAtt AI4TS 144 10 0 05 Oct 2022
Mining Duplicate Questions of Stack Overflow Mihir Kale Anirudha Rayasam R. Parik Pranav Dheram 71 8 0 04 Oct 2022
Model Zoos: A Dataset of Diverse Populations of Neural Network ModelsNeural Information Processing Systems (NeurIPS), 2022 Konstantin Schurholt Diyar Taskiran Boris Knyazev Xavier Giró-i-Nieto Damian Borth 269 35 0 29 Sep 2022
Towards Faithful Model Explanation in NLP: A SurveyComputational Linguistics (CL), 2022 Qing Lyu Marianna Apidianaki Chris Callison-Burch XAI 434 162 0 22 Sep 2022
Policy Optimization with Sparse Global Contrastive Explanations Jiayu Yao S. Parbhoo Weiwei Pan Finale Doshi-Velez OffRL 159 3 0 13 Jul 2022
Analyzing Encoded Concepts in Transformer Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Hassan Sajjad Nadir Durrani Fahim Dalvi Firoj Alam A. Khan Jia Xu 158 52 0 27 Jun 2022
Discovering Salient Neurons in Deep NLP ModelsJournal of machine learning research (JMLR), 2022 Nadir Durrani Fahim Dalvi Hassan Sajjad KELM MILM 263 19 0 27 Jun 2022
A Unified Understanding of Deep NLP Models for Text ClassificationIEEE Transactions on Visualization and Computer Graphics (TVCG), 2022 Zhuguo Li Xiting Wang Weikai Yang Jing Wu Zhengyan Zhang Zhiyuan Liu Maosong Sun Hui Zhang Shixia Liu VLM 115 36 0 19 Jun 2022
The Road to Explainability is Paved with Bias: Measuring the Fairness of ExplanationsConference on Fairness, Accountability and Transparency (FAccT), 2022 Aparna Balagopalan Haoran Zhang Kimia Hamidieh Thomas Hartvigsen Frank Rudzicz Marzyeh Ghassemi 248 88 0 06 May 2022
Implicit N-grams Induced by RecurrenceNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022 Xiaobing Sun Wei Lu 144 4 0 05 May 2022
DeepBayes -- an estimator for parameter estimation in stochastic nonlinear dynamical models Anubhab Ghosh M. Abdalmoaty Saikat Chatterjee H. Hjalmarsson BDL 97 4 0 04 May 2022
Visualizing and Explaining Language Models Adrian M. P. Braşoveanu Razvan Andonie MILM VLM 289 7 0 30 Apr 2022
A Multilingual Perspective Towards the Evaluation of Attribution Methods in Natural Language InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Kerem Zaman Yonatan Belinkov 205 8 0 11 Apr 2022
VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language TransformersComputer Vision and Pattern Recognition (CVPR), 2022 Estelle Aflalo Meng Du Shao-Yen Tseng Yongfei Liu Chenfei Wu Nan Duan Vasudev Lal 185 55 0 30 Mar 2022
Explainability in Graph Neural Networks: An Experimental Survey Peibo Li Yixing Yang Maurice Pagnucco Yang Song 123 38 0 17 Mar 2022
Neural Network Training with Asymmetric Crosspoint ElementsFrontiers in Artificial Intelligence (FAI), 2022 M. Onen Tayfun Gokmen T. Todorov T. Nowicki Jesús A. del Alamo J. Rozen W. Haensch Seyoung Kim 155 24 0 31 Jan 2022
Extracting Finite Automata from RNNs Using State Merging William Merrill Nikolaos Tsilivis 240 19 0 28 Jan 2022
Attention cannot be an Explanation Arjun Reddy Akula Song-Chun Zhu FAtt XAI 175 6 0 26 Jan 2022
Natural Language Descriptions of Deep Visual FeaturesInternational Conference on Learning Representations (ICLR), 2022 Evan Hernandez Sarah Schwettmann David Bau Teona Bagashvili Antonio Torralba Jacob Andreas MILM 791 148 0 26 Jan 2022
A Latent-Variable Model for Intrinsic ProbingAAAI Conference on Artificial Intelligence (AAAI), 2022 Karolina Stañczak Lucas Torroba Hennigen Adina Williams Robert Bamler Isabelle Augenstein 313 5 0 20 Jan 2022
Temporal-Spatial Causal Interpretations for Vision-Based Reinforcement LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Wenjie Shi Gao Huang Shiji Song Cheng Wu 147 13 0 06 Dec 2021
Controlling Conditional Language Models without Catastrophic Forgetting Tomasz Korbak Hady ElSahar Germán Kruszewski Marc Dymetman CLL AI4CE 255 39 0 01 Dec 2021
Data-Based Models for Hurricane Evolution Prediction: A Deep Learning Approach Rikhi Bose A. Pintar E. Simiu 123 1 0 30 Oct 2021
Hyper-Representations: Self-Supervised Representation Learning on Neural Network Weights for Model Characteristic Prediction Konstantin Schurholt Dimche Kostadinov Damian Borth SSL 384 15 0 28 Oct 2021
Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean OperatorsNeural Information Processing Systems (NeurIPS), 2021 S. Lowe Robert C. Earle Jason dÉon Thomas Trappenberg Sageev Oore 125 2 0 22 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 179 51 0 20 Oct 2021
GenNI: Human-AI Collaboration for Data-Backed Text Generation Hendrik Strobelt J. Kinley Robert Krueger Johanna Beyer Hanspeter Pfister Alexander M. Rush 164 29 0 19 Oct 2021
Distinguishing rule- and exemplar-based generalization in learning systemsInternational Conference on Machine Learning (ICML), 2021 Ishita Dasgupta Erin Grant Thomas Griffiths 206 17 0 08 Oct 2021