Understanding intermediate layers using linear classifier probes

5 October 2016

Papers citing "Understanding intermediate layers using linear classifier probes"

50 / 196 papers shown

Title
Emergence of Concepts in DNNs? Tim Räz 21 0 0 11 Nov 2022
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts Patrik Hammersborg Inga Strümke 17 5 0 10 Nov 2022
COPEN: Probing Conceptual Knowledge in Pre-trained Language Models Hao Peng Xiaozhi Wang Shengding Hu Hailong Jin Lei Hou Juanzi Li Zhiyuan Liu Qun Liu 18 22 0 08 Nov 2022
A Law of Data Separation in Deep Learning Hangfeng He Weijie J. Su OOD 24 37 0 31 Oct 2022
Probing for targeted syntactic knowledge through grammatical error detection Christopher Davis Christopher Bryant Andrew Caines Marek Rei P. Buttery 22 3 0 28 Oct 2022
The Curious Case of Benign Memorization Sotiris Anagnostidis Gregor Bachmann Lorenzo Noci Thomas Hofmann AAML 49 8 0 25 Oct 2022
Spectral Probing Max Müller-Eberstein Rob van der Goot Barbara Plank 6 2 0 21 Oct 2022
Transparency Helps Reveal When Language Models Learn Meaning Zhaofeng Wu William Merrill Hao Peng Iz Beltagy Noah A. Smith 19 9 0 14 Oct 2022
GULP: a prediction-based metric between representations Enric Boix Adserà Hannah Lawrence George Stepaniants Philippe Rigollet 46 11 0 12 Oct 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 27 3 0 18 Sep 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
Lipschitz Continuity Retained Binary Neural Network Yuzhang Shang Dan Xu Bin Duan Ziliang Zong Liqiang Nie Yan Yan 16 19 0 13 Jul 2022
Probing via Prompting Jiaoda Li Ryan Cotterell Mrinmaya Sachan 37 13 0 04 Jul 2022
When are Post-hoc Conceptual Explanations Identifiable? Tobias Leemann Michael Kirchhof Yao Rong Enkelejda Kasneci Gjergji Kasneci 50 10 0 28 Jun 2022
Evaluating Self-Supervised Learning for Molecular Graph Embeddings Hanchen Wang Jean Kaddour Shengchao Liu Jian Tang Joan Lasenby Qi Liu 30 20 0 16 Jun 2022
Disentangling visual and written concepts in CLIP Joanna Materzyñska Antonio Torralba David Bau CoGe 23 47 0 15 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 28 139 0 15 Jun 2022
On the Usefulness of Embeddings, Clusters and Strings for Text Generator Evaluation Tiago Pimentel Clara Meister Ryan Cotterell 48 7 0 31 May 2022
Self-supervised models of audio effectively explain human cortical responses to speech Aditya R. Vaidya Shailee Jain Alexander G. Huth 30 42 0 27 May 2022
BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations Daisuke Niizumi Daiki Takeuchi Yasunori Ohishi N. Harada K. Kashino SSL 36 53 0 15 Apr 2022
Visualizing Deep Neural Networks with Topographic Activation Maps A. Krug Raihan Kabir Ratul Christopher Olson Sebastian Stober FAtt AI4CE 36 3 0 07 Apr 2022
Mind the gap: Challenges of deep learning approaches to Theory of Mind Jaan Aru Aqeel Labash Oriol Corcoll Raul Vicente 28 26 0 30 Mar 2022
CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters Paul Gavrikov J. Keuper AAML 24 31 0 29 Mar 2022
Learning Robust Real-Time Cultural Transmission without Human Data Cultural General Intelligence Team Avishkar Bhoopchand Bethanie Brownfield Adrian Collister Agustin Dal Lago ... Alex Platonov Evan Senter Sukhdeep Singh Alexander Zacherl Lei M. Zhang VLM 46 11 0 01 Mar 2022
Screening Gender Transfer in Neural Machine Translation Guillaume Wisniewski Lichao Zhu Nicolas Bailler François Yvon 6 4 0 25 Feb 2022
Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning Hao He Kaiwen Zha Dina Katabi AAML 34 32 0 22 Feb 2022
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations Marco Bertolini Djork-Arné Clevert F. Montanari FAtt 14 5 0 18 Feb 2022
Probing Pretrained Models of Source Code Sergey Troshin Nadezhda Chirkova ELM 27 38 0 16 Feb 2022
Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence Frederik Pahde Maximilian Dreyer Leander Weber Moritz Weckbecker Christopher J. Anders Thomas Wiegand Wojciech Samek Sebastian Lapuschkin 60 7 0 07 Feb 2022
What Has Been Enhanced in my Knowledge-Enhanced Language Model? Yifan Hou Guoji Fu Mrinmaya Sachan KELM 33 1 0 02 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui Yogesh Kumar Pekka Marttinen Samuel Kaski CML 35 13 0 31 Jan 2022
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 34 86 0 16 Dec 2021
Sparse Interventions in Language Models with Differentiable Masking Nicola De Cao Leon Schmid Dieuwke Hupkes Ivan Titov 40 27 0 13 Dec 2021
Diffusion Autoencoders: Toward a Meaningful and Decodable Representation Konpat Preechakul Nattanat Chatthee Suttisak Wizadwongsa Supasorn Suwajanakorn SyDa DiffM 37 415 0 30 Nov 2021
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception Joel Dapello J. Feather Hang Le Tiago Marques David D. Cox Josh H. McDermott J. DiCarlo SueYeon Chung AAML OOD 19 25 0 12 Nov 2021
Neural Networks as Kernel Learners: The Silent Alignment Effect Alexander B. Atanasov Blake Bordelon Cengiz Pehlevan MLT 26 75 0 29 Oct 2021
Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents Shivansh Patel Saim Wani Unnat Jain A. Schwing Svetlana Lazebnik Manolis Savva Angel X. Chang LM&Ro 24 25 0 12 Oct 2021
Conditional probing: measuring usable information beyond a baseline John Hewitt Kawin Ethayarajh Percy Liang Christopher D. Manning 39 55 0 19 Sep 2021
A Bayesian Framework for Information-Theoretic Probing Tiago Pimentel Ryan Cotterell 28 24 0 08 Sep 2021
What do pre-trained code models know about code? Anjan Karmakar Romain Robbes ELM 32 87 0 25 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks? M. Raghu Thomas Unterthiner Simon Kornblith Chiyuan Zhang Alexey Dosovitskiy ViT 67 925 0 19 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 43 181 0 27 Jul 2021
Codified audio language modeling learns useful representations for music information retrieval Rodrigo Castellon Chris Donahue Percy Liang 81 86 0 12 Jul 2021
A Closer Look at How Fine-tuning Changes BERT Yichu Zhou Vivek Srikumar 26 63 0 27 Jun 2021
Poisoning and Backdooring Contrastive Learning Nicholas Carlini Andreas Terzis 46 156 0 17 Jun 2021
Deep Learning Through the Lens of Example Difficulty R. Baldock Hartmut Maennel Behnam Neyshabur 47 156 0 17 Jun 2021
Revisiting Model Stitching to Compare Neural Representations Yamini Bansal Preetum Nakkiran Boaz Barak FedML 44 105 0 14 Jun 2021
Do Syntactic Probes Probe Syntax? Experiments with Jabberwocky Probing Rowan Hall Maudslay Ryan Cotterell 31 33 0 04 Jun 2021
Did I do that? Blame as a means to identify controlled effects in reinforcement learning Oriol Corcoll Youssef Mohamed Raul Vicente 18 3 0 01 Jun 2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings Mycal Tucker Peng Qian R. Levy 27 38 0 28 May 2021