Measuring Compositionality in Representation Learning

19 February 2019

Papers citing "Measuring Compositionality in Representation Learning"

35 / 35 papers shown

Title
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 64 1 0 08 Mar 2025
Unsupervised Translation of Emergent Communication Ido Levy Orr Paradise Boaz Carmeli Ron Meir S. Goldwasser Yonatan Belinkov 123 0 0 11 Feb 2025
A Complexity-Based Theory of Compositionality Eric Elmoznino Thomas Jiralerspong Yoshua Bengio Guillaume Lajoie CoGe 61 4 0 18 Oct 2024
Geometric Signatures of Compositionality Across a Language Model's Lifetime Jin Hwa Lee Thomas Jiralerspong Lei Yu Yoshua Bengio Emily Cheng CoGe 84 0 0 02 Oct 2024
A Review of the Applications of Deep Learning-Based Emergent Communication Brendon Boldt David R. Mortensen VLM 27 6 0 03 Jul 2024
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation Weixi Feng Jiachen Li Michael Stephen Saxon Tsu-jui Fu Wenhu Chen William Yang Wang EGVM VGen 36 9 0 12 Jun 2024
From Frege to chatGPT: Compositionality in language, cognition, and deep neural networks Jacob Russin Sam Whitman McGrath Danielle J. Williams Lotem Elber-Dorozko AI4CE 73 3 0 24 May 2024
On the generalization capacity of neural networks during generic multimodal reasoning Takuya Ito Soham Dan Mattia Rigotti James Kozloski Murray Campbell LRM 32 2 0 26 Jan 2024
Compositional Fusion of Signals in Data Embedding Zhijin Guo Zhaozhen Xu Martha Lewis N. Cristianini 11 0 0 18 Nov 2023
Does Visual Pretraining Help End-to-End Reasoning? Chen Sun Calvin Luo Xingyi Zhou Anurag Arnab Cordelia Schmid OCL LRM ViT 32 3 0 17 Jul 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz K. Zhang Pulkit Agrawal 43 15 0 27 Apr 2023
Models of symbol emergence in communication: a conceptual review and a guide for avoiding local minima Julian Zubek Tomasz Korbak J. Rączaszek-Leonardi 28 2 0 08 Mar 2023
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models Matthew Trager Pramuditha Perera L. Zancato Alessandro Achille Parminder Bhatia Stefano Soatto CoGe 19 30 0 28 Feb 2023
Recursive Neural Networks with Bottlenecks Diagnose (Non-)Compositionality Verna Dankers Ivan Titov 28 2 0 31 Jan 2023
A Short Survey of Systematic Generalization Yuanpeng Li AI4CE 29 1 0 22 Nov 2022
Neural Systematic Binder Gautam Singh Yeongbin Kim Sungjin Ahn OCL 29 36 0 02 Nov 2022
Robust and Controllable Object-Centric Learning through Energy-based Models Ruixiang Zhang Tong Che B. Ivanovic Renhao Wang Marco Pavone Yoshua Bengio Liam Paull OCL 26 8 0 11 Oct 2022
Are Representations Built from the Ground Up? An Empirical Examination of Local Composition in Language Models Emmy Liu Graham Neubig CoGe 13 10 0 07 Oct 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 25 29 0 26 Sep 2022
Benchmarking Compositionality with Formal Languages Josef Valvoda Naomi Saphra Jonathan Rawski Adina Williams Ryan Cotterell NAI CoGe 17 8 0 17 Aug 2022
Unit Testing for Concepts in Neural Networks Charles Lovering Ellie Pavlick 23 28 0 28 Jul 2022
How to Reuse and Compose Knowledge for a Lifetime of Tasks: A Survey on Continual Learning and Functional Composition Jorge Armando Mendez Mendez Eric Eaton KELM CLL 26 27 0 15 Jul 2022
Do Vision-Language Pretrained Models Learn Composable Primitive Concepts? Tian Yun Usha Bhalla Ellie Pavlick Chen Sun ReLM CoGe VLM LRM 31 23 0 31 Mar 2022
Grounded Graph Decoding Improves Compositional Generalization in Question Answering Yu Gai Paras Jain Wendi Zhang Joseph E. Gonzalez D. Song Ion Stoica BDL OOD 29 8 0 05 Nov 2021
PatchGame: Learning to Signal Mid-level Patches in Referential Games Kamal Gupta Gowthami Somepalli Anubhav Gupta Vinoj Jayasundara Matthias Zwicker Abhinav Shrivastava 20 3 0 02 Nov 2021
Improving Compositional Generalization with Self-Training for Data-to-Text Generation Sanket Vaibhav Mehta J. Rao Yi Tay Mihir Kale Ankur P. Parikh Emma Strubell AI4CE 36 30 0 16 Oct 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 47 77 0 24 Apr 2021
Inductive Bias and Language Expressivity in Emergent Communication Shangmin Guo Yi Ren A. Slowik K. Mathewson 23 8 0 04 Dec 2020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás Sjoerd van Steenkiste Jürgen Schmidhuber 23 87 0 05 Oct 2020
Emergent Multi-Agent Communication in the Deep Learning Era Angeliki Lazaridou Marco Baroni AI4CE 28 196 0 03 Jun 2020
The Unreasonable Volatility of Neural Machine Translation Models Marzieh Fadaee Christof Monz 12 16 0 25 May 2020
Locality and compositionality in zero-shot learning Tristan Sylvain Linda Petrini R. Devon Hjelm 11 56 0 20 Dec 2019
Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers Nathanael Scharli Nathan Scales Hylke Buisman Daniel Furrer ... Tibor Tihon Dmitry Tsarkov Xiao Wang Marc van Zee Olivier Bousquet CoGe 21 347 0 20 Dec 2019
Capacity, Bandwidth, and Compositionality in Emergent Language Learning Cinjon Resnick Abhinav Gupta Jakob N. Foerster Andrew M. Dai Kyunghyun Cho 18 51 0 24 Oct 2019
Discovering the Compositional Structure of Vector Representations with Role Learning Networks Paul Soulos R. Thomas McCoy Tal Linzen P. Smolensky CoGe 29 43 0 21 Oct 2019