Understanding intermediate layers using linear classifier probes

5 October 2016

Papers citing "Understanding intermediate layers using linear classifier probes"

46 / 196 papers shown

Title
A multilabel approach to morphosyntactic probing Naomi Tachikawa Shapiro Amandalynne Paullada Shane Steinert-Threlkeld 37 10 0 17 Apr 2021
Probing artificial neural networks: insights from neuroscience Anna A. Ivanova John Hewitt Noga Zaslavsky 18 16 0 16 Apr 2021
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? Eric P. Lehman Sarthak Jain Karl Pichotta Yoav Goldberg Byron C. Wallace OOD MIACV 24 118 0 15 Apr 2021
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little Koustuv Sinha Robin Jia Dieuwke Hupkes J. Pineau Adina Williams Douwe Kiela 45 243 0 14 Apr 2021
DirectProbe: Studying Representations without Classifiers Yichu Zhou Vivek Srikumar 32 27 0 13 Apr 2021
Probing Classifiers: Promises, Shortcomings, and Advances Yonatan Belinkov 226 405 0 24 Feb 2021
First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT Benjamin Muller Yanai Elazar Benoît Sagot Djamé Seddah LRM 29 71 0 26 Jan 2021
Video Summarization Using Deep Neural Networks: A Survey Evlampios Apostolidis E. Adamantidou Alexandros I. Metsai Vasileios Mezaris Ioannis Patras AI4TS 66 202 0 15 Jan 2021
Deep Neural Models for color discrimination and color constancy Alban Flachot A. Akbarinia Heiko H. Schutt R. Fleming Felix Wichmann K. Gegenfurtner 19 2 0 28 Dec 2020
Categorical Perception: A Groundwork for Deep Learning L. Bonnasse-Gahot Jean-Pierre Nadal 22 7 0 10 Dec 2020
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series Kristoffer Wickstrøm Karl Øyvind Mikalsen Michael C. Kampffmeyer A. Revhaug Robert Jenssen AI4TS 22 34 0 16 Oct 2020
Examining the rhetorical capacities of neural language models Zining Zhu Chuer Pan Mohamed Abdalla Frank Rudzicz 30 10 0 01 Oct 2020
Evaluating representations by the complexity of learning low-loss predictors William F. Whitney M. Song David Brandfonbrener Jaan Altosaar Kyunghyun Cho 25 23 0 15 Sep 2020
Gaussian Gated Linear Networks David Budden Adam H. Marblestone Eren Sezener Tor Lattimore Greg Wayne J. Veness BDL AI4CE 24 12 0 10 Jun 2020
ReLU Code Space: A Basis for Rating Network Quality Besides Accuracy Natalia Shepeleva Werner Zellinger Michal Lewandowski Bernhard A. Moser 22 3 0 20 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
What Information Does a ResNet Compress? L. N. Darlow Amos Storkey SSL 28 11 0 13 Mar 2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models A. Krug Sebastian Stober 24 0 0 19 Feb 2020
Semantic Hierarchy Emerges in Deep Generative Representations for Scene Synthesis Ceyuan Yang Yujun Shen Bolei Zhou GAN 35 201 0 21 Nov 2019
Contrastive Representation Distillation Yonglong Tian Dilip Krishnan Phillip Isola 47 1,031 0 23 Oct 2019
Designing and Interpreting Probes with Control Tasks John Hewitt Percy Liang 32 523 0 08 Sep 2019
Unsupervised State Representation Learning in Atari Ankesh Anand Evan Racah Sherjil Ozair Yoshua Bengio Marc-Alexandre Côté R. Devon Hjelm SSL 44 254 0 19 Jun 2019
Interpretable Neural Network Decoupling Yuchao Li Rongrong Ji Shaohui Lin Baochang Zhang Chenqian Yan Yongjian Wu Feiyue Huang Ling Shao 37 2 0 04 Jun 2019
An Information Theoretic Interpretation to Deep Neural Networks Shao-Lun Huang Xiangxiang Xu Lizhong Zheng G. Wornell FAtt 22 41 0 16 May 2019
Wasserstein Dependency Measure for Representation Learning Sherjil Ozair Corey Lynch Yoshua Bengio Aaron van den Oord Sergey Levine P. Sermanet SSL DRL 30 116 0 28 Mar 2019
On the Pitfalls of Measuring Emergent Communication Ryan J. Lowe Jakob N. Foerster Y-Lan Boureau Joelle Pineau Yann N. Dauphin 28 131 0 12 Mar 2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making Carrie J. Cai Emily Reif Narayan Hegde J. Hipp Been Kim ... Martin Wattenberg F. Viégas G. Corrado Martin C. Stumpe Michael Terry 43 397 0 08 Feb 2019
Low-Cost Transfer Learning of Face Tasks T. John Isha Dua V. Balasubramanian C. V. Jawahar CLIP CVBM VLM 13 0 0 09 Jan 2019
Ablation of a Robot's Brain: Neural Networks Under a Knife Peter Lillian Richard Meyes Tobias Meisen 22 10 0 13 Dec 2018
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values Julius Adebayo Justin Gilmer Ian Goodfellow Been Kim FAtt AAML 19 128 0 08 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 64 1,928 0 08 Oct 2018
Interpreting Layered Neural Networks via Hierarchical Modular Representation C. Watanabe 21 19 0 03 Oct 2018
Fine-grained visual recognition with salient feature detection Hui Feng Shanshan Wang S. Ge ObjD 31 3 0 12 Aug 2018
Visualizing and Understanding Deep Neural Networks in CTR Prediction Lin Guo Hui Ye Wenbo Su He Liu Kai Sun Hang Xiang FAtt HAI 10 7 0 22 Jun 2018
How Important Is a Neuron? Kedar Dhamdhere Mukund Sundararajan Qiqi Yan FAtt GNN 22 128 0 30 May 2018
Fast Dynamic Routing Based on Weighted Kernel Density Estimation Suofei Zhang Wei-Ye Zhao Xiaofu Wu Quan Zhou 14 61 0 28 May 2018
Confidence Scoring Using Whitebox Meta-models with Linear Classifier Probes Tongfei Chen Jirí Navrátil Vijay Iyengar Karthikeyan Shanmugam 10 42 0 14 May 2018
Disentangling Controllable and Uncontrollable Factors of Variation by Interacting with the World Yoshihide Sawada DRL 21 10 0 19 Apr 2018
On the importance of single directions for generalization Ari S. Morcos David Barrett Neil C. Rabinowitz M. Botvinick 18 328 0 19 Mar 2018
Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning Nicolas Papernot Patrick McDaniel OOD AAML 13 503 0 13 Mar 2018
Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV) Been Kim Martin Wattenberg Justin Gilmer Carrie J. Cai James Wexler F. Viégas Rory Sayres FAtt 77 1,791 0 30 Nov 2017
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure Dieuwke Hupkes Sara Veldhoen Willem H. Zuidema 24 274 0 28 Nov 2017
Characterizing Types of Convolution in Deep Convolutional Recurrent Neural Networks for Robust Speech Emotion Recognition Che-Wei Huang Shrikanth. S. Narayanan HAI 27 25 0 07 Jun 2017
Deep LSTM for Large Vocabulary Continuous Speech Recognition Xudong Tian Jun Zhang Zejun Ma Yi He Juan Wei Peihao Wu Wenchang Situ Shuai Li Yang Zhang 18 30 0 21 Mar 2017
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 38 1,387 0 02 Mar 2017
Understanding Synthetic Gradients and Decoupled Neural Interfaces Wojciech M. Czarnecki G. Swirszcz Max Jaderberg Simon Osindero Oriol Vinyals Koray Kavukcuoglu 25 81 0 01 Mar 2017