Grounding Representation Similarity with Statistical Testing

3 August 2021

Papers citing "Grounding Representation Similarity with Statistical Testing"

10 / 10 papers shown

Title
Model Stitching: Looking For Functional Similarity Between Representations Adriano Hernandez Rumen Dangovski Peter Y. Lu Marin Soljacic 8 3 0 20 Mar 2023
ModelDiff: A Framework for Comparing Learning Algorithms Harshay Shah Sung Min Park Andrew Ilyas A. Madry SyDa 46 26 0 22 Nov 2022
The Curse of Low Task Diversity: On the Failure of Transfer Learning to Outperform MAML and Their Empirical Equivalence Brando Miranda P. Yu Yu-xiong Wang Oluwasanmi Koyejo 23 10 0 02 Aug 2022
Auditing Visualizations: Transparency Methods Struggle to Detect Anomalous Behavior Jean-Stanislas Denain Jacob Steinhardt AAML 17 7 0 27 Jun 2022
What do CNNs Learn in the First Layer and Why? A Linear Systems Perspective Rhea Chowers Yair Weiss 26 2 0 06 Jun 2022
Deconfounded Representation Similarity for Comparison of Neural Networks Tianyu Cui Yogesh Kumar Pekka Marttinen Samuel Kaski CML 6 13 0 31 Jan 2022
Does MAML Only Work via Feature Re-use? A Data Centric Perspective Brando Miranda Yu-xiong Wang Oluwasanmi Koyejo 25 4 0 24 Dec 2021
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 172 639 0 19 Sep 2019
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 294 6,950 0 20 Apr 2018
Word Translation Without Parallel Data Alexis Conneau Guillaume Lample MarcÁurelio Ranzato Ludovic Denoyer Hervé Jégou 167 1,635 0 11 Oct 2017