Title
Toy Models of Superposition Nelson Elhage Tristan Hume Catherine Olsson Nicholas Schiefer T. Henighan ... Sam McCandlish Jared Kaplan Dario Amodei Martin Wattenberg C. Olah AAML MILM 172 363 0 21 Sep 2022
Origami in N dimensions: How feed-forward networks manufacture linear separability Christian Keup M. Helias 28 8 0 21 Mar 2022
Traversing the Local Polytopes of ReLU Neural Networks: A Unified Approach for Network Verification Shaojie Xu J. Vaughan Jie Chen Aijun Zhang Agus Sudjianto AAML 32 15 0 17 Nov 2021
Knowledge Neurons in Pretrained Transformers Damai Dai Li Dong Y. Hao Zhifang Sui Baobao Chang Furu Wei KELM MU 79 449 0 18 Apr 2021
An Interpretability Illusion for BERT Tolga Bolukbasi Adam Pearce Ann Yuan Andy Coenen Emily Reif Fernanda Viégas Martin Wattenberg MILM FAtt 63 78 0 14 Apr 2021
Transformer Feed-Forward Layers Are Key-Value Memories Mor Geva R. Schuster Jonathan Berant Omer Levy KELM 130 820 0 29 Dec 2020
Analyzing Individual Neurons in Pre-trained Language Models Nadir Durrani Hassan Sajjad Fahim Dalvi Yonatan Belinkov MILM 55 104 0 06 Oct 2020
Reverse-Engineering Deep ReLU Networks David Rolnick Konrad Paul Kording 62 103 0 02 Oct 2019
Deep ReLU Networks Have Surprisingly Few Activation Patterns Boris Hanin David Rolnick 72 226 0 03 Jun 2019
The Geometry of Deep Networks: Power Diagram Subdivision Randall Balestriero Romain Cosentino B. Aazhang Richard Baraniuk AI4CE 48 63 0 21 May 2019
Complexity of Linear Regions in Deep Networks Boris Hanin David Rolnick 39 230 0 25 Jan 2019
From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference Randall Balestriero Richard G. Baraniuk 34 18 0 22 Oct 2018
Mad Max: Affine Spline Insights into Deep Learning Randall Balestriero Richard Baraniuk AI4CE 51 78 0 17 May 2018
Sensitivity and Generalization in Neural Networks: an Empirical Study Roman Novak Yasaman Bahri Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein AAML 93 439 0 23 Feb 2018
Network Dissection: Quantifying Interpretability of Deep Visual Representations David Bau Bolei Zhou A. Khosla A. Oliva Antonio Torralba MILM FAtt 134 1,514 1 19 Apr 2017
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 54 329 0 11 Feb 2016
Object Detectors Emerge in Deep Scene CNNs Bolei Zhou A. Khosla Àgata Lapedriza A. Oliva Antonio Torralba ObjD 135 1,283 0 22 Dec 2014
Understanding Locally Competitive Networks R. Srivastava Jonathan Masci Faustino J. Gomez Jürgen Schmidhuber FAtt 66 39 0 05 Oct 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 247 14,893 1 21 Dec 2013
On the number of response regions of deep feed forward networks with piece-wise linear activations Razvan Pascanu Guido Montúfar Yoshua Bengio FAtt 117 257 0 20 Dec 2013