Visualizing and Understanding Recurrent Networks

5 June 2015

Li Fei-Fei

Papers citing "Visualizing and Understanding Recurrent Networks"

50 / 455 papers shown

Title
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 23 80 0 09 Jun 2021
Energy-Based Models for Code Generation under Compilability Constraints Tomasz Korbak Hady ElSahar Marc Dymetman Germán Kruszewski 35 13 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 20 3 0 09 Jun 2021
Subject Independent Emotion Recognition using EEG Signals Employing Attention Driven Neural Networks Arjun Aniket Singh Rajpoot Mahesh Raveendranatha Panicker 14 81 0 07 Jun 2021
Safe Model-based Off-policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles Zhaoxuan Zhu Nicola Pivaro Shobhit Gupta Abhishek Gupta Marcello Canova OffRL 10 35 0 25 May 2021
Fine-grained Interpretation and Causation Analysis in Deep NLP Models Hassan Sajjad Narine Kokhlikyan Fahim Dalvi Nadir Durrani MILM 33 8 0 17 May 2021
Security Vulnerability Detection Using Deep Learning Natural Language Processing Noah Ziems Shaoen Wu 19 55 0 06 May 2021
Machine Learning Techniques for Software Quality Assurance: A Survey Safa Omri C. Sinz 20 5 0 29 Apr 2021
Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses Alessandro Salatiello M. Giese 18 5 0 29 Apr 2021
Equivariant Wavelets: Fast Rotation and Translation Invariant Wavelet Scattering Transforms A. Saydjari D. Finkbeiner 33 20 0 22 Apr 2021
Mediators in Determining what Processing BERT Performs First Aviv Slobodkin Leshem Choshen Omri Abend MoE 77 15 0 13 Apr 2021
Automatic Correction of Internal Units in Generative Neural Networks A. Tousi Haedong Jeong Jiyeon Han Hwanil Choi Jaesik Choi GAN 6 10 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 24 1 0 07 Apr 2021
DeepEverest: Accelerating Declarative Top-K Queries for Deep Neural Network Interpretation Dong He Maureen Daum Walter Cai Magdalena Balazinska HAI 11 6 0 06 Apr 2021
VisQA: X-raying Vision and Language Reasoning in Transformers Theo Jaunet Corentin Kervadec Romain Vuillemot G. Antipov M. Baccouche Christian Wolf 19 26 0 02 Apr 2021
Do RNN States Encode Abstract Phonological Processes? Miikka Silfverberg Francis M. Tyers Garrett Nicolai Mans Hulden 25 1 0 01 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Visualizing MuZero Models Joery A. de Vries K. Voskuil Thomas M. Moerland Aske Plaat 15 9 0 25 Feb 2021
Feature Importance Explanations for Temporal Black-Box Models Akshay Sood M. Craven FAtt OOD 25 15 0 23 Feb 2021
Formal Language Theory Meets Modern NLP William Merrill AI4CE NAI 21 12 0 19 Feb 2021
An Operator Theoretic Approach for Analyzing Sequence Neural Networks Ilana D Naiman Omri Azencot 27 10 0 15 Feb 2021
Towards More Fine-grained and Reliable NLP Performance Prediction Zihuiwen Ye Pengfei Liu Jinlan Fu Graham Neubig 16 33 0 10 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 54 34 0 02 Feb 2021
On the Interpretability of Deep Learning Based Models for Knowledge Tracing Xinyi Ding Eric C. Larson 23 8 0 27 Jan 2021
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks Xinyang Zhang Ren Pang S. Ji Fenglong Ma Ting Wang HAI AI4CE 11 5 0 22 Jan 2021
Explain and Predict, and then Predict Again Zijian Zhang Koustav Rudra Avishek Anand FAtt 28 51 0 11 Jan 2021
Sensei: Self-Supervised Sensor Name Segmentation Jiaman Wu Dezhi Hong Rajesh K. Gupta Jingbo Shang 11 1 0 01 Jan 2021
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 17 29 0 18 Dec 2020
On the Binding Problem in Artificial Neural Networks Klaus Greff Sjoerd van Steenkiste Jürgen Schmidhuber OCL 233 255 0 09 Dec 2020
exploRNN: Understanding Recurrent Neural Networks through Visual Exploration Alex Bauerle Patrick Albus Raphael Störk Tina Seufert Timo Ropinski 6 2 0 09 Dec 2020
Self-Explaining Structures Improve NLP Models Zijun Sun Chun Fan Qinghong Han Xiaofei Sun Yuxian Meng Fei Wu Jiwei Li MILM XAI LRM FAtt 46 38 0 03 Dec 2020
A journey in ESN and LSTM visualisations on a language task Alexandre Variengien X. Hinaut 9 8 0 03 Dec 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 33 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 10 4 0 05 Nov 2020
The geometry of integration in text classification RNNs Kyle Aitken V. Ramasesh Ankush Garg Yuan Cao David Sussillo Niru Maheswaranathan AI4CE 25 14 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 42 7 0 23 Oct 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 21 67 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 13 0 0 16 Oct 2020
Interpreting Deep Learning Model Using Rule-based Method Xiaojian Wang Jingyuan Wang Ke Tang 14 3 0 15 Oct 2020
RNNs can generate bounded hierarchical languages with optimal memory John Hewitt Michael Hahn Surya Ganguli Percy Liang Christopher D. Manning LRM 8 50 0 15 Oct 2020
Pair the Dots: Jointly Examining Training History and Test Stimuli for Model Interpretability Yuxian Meng Chun Fan Zijun Sun Eduard H. Hovy Fei Wu Jiwei Li FAtt 15 10 0 14 Oct 2020
Linking average- and worst-case perturbation robustness via class selectivity and dimensionality Matthew L. Leavitt Ari S. Morcos AAML 16 2 0 14 Oct 2020
FIND: Human-in-the-Loop Debugging Deep Text Classifiers Piyawat Lertvittayakumjorn Lucia Specia Francesca Toni 6 54 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 22 1 0 08 Oct 2020
Intrinsic Probing through Dimension Selection Lucas Torroba Hennigen Adina Williams Ryan Cotterell 28 57 0 06 Oct 2020
Analyzing Individual Neurons in Pre-trained Language Models Nadir Durrani Hassan Sajjad Fahim Dalvi Yonatan Belinkov MILM 14 104 0 06 Oct 2020
Linguistic Profiling of a Neural Language Model Alessio Miaschi D. Brunato F. Dell’Orletta Giulia Venturi 36 46 0 05 Oct 2020
How LSTM Encodes Syntax: Exploring Context Vectors and Semi-Quantization on Natural Text Chihiro Shibata Kei Uchiumi D. Mochihashi 19 7 0 01 Oct 2020
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework Qi Tan Yang Liu Jiming Liu AI4TS 25 8 0 14 Sep 2020