Grounding Representation Similarity with Statistical Testing

3 August 2021

Papers citing "Grounding Representation Similarity with Statistical Testing"

33 / 33 papers shown

Title
Identifying Sub-networks in Neural Networks via Functionally Similar Representations Tian Gao Amit Dhurandhar Karthikeyan N. Ramamurthy Dennis L. Wei 68 0 0 21 Oct 2024
Are Larger Pretrained Language Models Uniformly Better? Comparing Performance at the Instance Level Ruiqi Zhong Dhruba Ghosh Dan Klein Jacob Steinhardt 68 35 0 13 May 2021
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 103 684 0 06 Nov 2020
Towards falsifiable interpretability research Matthew L. Leavitt Ari S. Morcos AAML AI4CE 60 68 0 22 Oct 2020
Transferred Discrepancy: Quantifying the Difference Between Representations Yunzhen Feng Runtian Zhai Di He Liwei Wang Bin Dong DRL 17 11 0 24 Jul 2020
Deep Learning Backdoors Shaofeng Li Shiqing Ma Minhui Xue Benjamin Zi Hao Zhao 104 35 0 16 Jul 2020
Investigating Transferability in Pretrained Language Models Alex Tamkin Trisha Singh D. Giovanardi Noah D. Goodman MILM 53 48 0 30 Apr 2020
Weight Poisoning Attacks on Pre-trained Models Keita Kurita Paul Michel Graham Neubig AAML SILM 112 440 0 14 Apr 2020
BERTs of a feather do not generalize together: Large variability in generalization across models with similar test set performance R. Thomas McCoy Junghyun Min Tal Linzen 78 150 0 07 Nov 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 298 641 0 19 Sep 2019
Knowledge Consistency between Neural Networks and Beyond Ruofan Liang Tianlin Li Longfei Li Jingchao Wang Quanshi Zhang 24 29 0 05 Aug 2019
The generalized orthogonal Procrustes problem in the high noise regime Thomas Pumir A. Singer Nicolas Boumal 29 22 0 02 Jul 2019
What do you learn from context? Probing for sentence structure in contextualized word representations Ian Tenney Patrick Xia Berlin Chen Alex Jinpeng Wang Adam Poliak ... Najoung Kim Benjamin Van Durme Samuel R. Bowman Dipanjan Das Ellie Pavlick 159 853 0 15 May 2019
Similarity of Neural Network Representations Revisited Simon Kornblith Mohammad Norouzi Honglak Lee Geoffrey E. Hinton 127 1,382 0 01 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 109 3,399 0 28 Mar 2019
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference R. Thomas McCoy Ellie Pavlick Tal Linzen 117 1,226 0 04 Feb 2019
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation Liwei Wang Lunjia Hu Jiayuan Gu Y. Wu Zhiqiang Hu Kun He John E. Hopcroft SSL 49 113 0 28 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.0K 93,936 0 11 Oct 2018
Sanity Checks for Saliency Maps Julius Adebayo Justin Gilmer M. Muelly Ian Goodfellow Moritz Hardt Been Kim FAtt AAML XAI 115 1,947 0 08 Oct 2018
Dissecting Contextual Word Embeddings: Architecture and Representation Matthew E. Peters Mark Neumann Luke Zettlemoyer Wen-tau Yih 88 429 0 27 Aug 2018
Insights on representational similarity in neural networks with canonical correlation Ari S. Morcos M. Raghu Samy Bengio DRL 45 440 0 14 Jun 2018
Stress Test Evaluation for Natural Language Inference Aakanksha Naik Abhilasha Ravichander Norman M. Sadeh Carolyn Rose Graham Neubig ELM 62 375 0 02 Jun 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 658 7,080 0 20 Apr 2018
The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks Jonathan Frankle Michael Carbin 173 3,433 0 09 Mar 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 82 1,822 0 15 Dec 2017
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 271 1,646 0 11 Oct 2017
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference Adina Williams Nikita Nangia Samuel R. Bowman 416 4,444 0 18 Apr 2017
What do Neural Machine Translation Models Learn about Morphology? Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James R. Glass 88 414 0 11 Apr 2017
Offline bilingual word vectors, orthogonal transformations and the inverted softmax Samuel L. Smith David H. P. Turban Steven Hamblin Nils Y. Hammerla OffRL 49 536 0 13 Feb 2017
Understanding intermediate layers using linear classifier probes Guillaume Alain Yoshua Bengio FAtt 96 923 0 05 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.4K 192,638 0 10 Dec 2015
Convergent Learning: Do different neural networks learn the same representations? Yixuan Li J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 74 358 0 24 Nov 2015
Understanding image representations by measuring their equivariance and equivalence Karel Lenc Andrea Vedaldi SSL FAtt 75 528 0 21 Nov 2014