Timezone: »
Representation learning has become an invaluable approach for learning from symbolic data such as text and graphs. However, while complex symbolic datasets often exhibit a latent hierarchical structure, state-of-the-art methods typically learn embeddings in Euclidean vector spaces, which do not account for this property. For this purpose, we introduce a new approach for learning hierarchical representations of symbolic data by embedding them into hyperbolic space -- or more precisely into an n-dimensional Poincaré ball. Due to the underlying hyperbolic geometry, this allows us to learn parsimonious representations of symbolic data by simultaneously capturing hierarchy and similarity. We introduce an efficient algorithm to learn the embeddings based on Riemannian optimization and show experimentally that Poincaré embeddings outperform Euclidean embeddings significantly on data with latent hierarchies, both in terms of representation capacity and in terms of generalization ability.
Author Information
Maximilian Nickel (Facebook)
Douwe Kiela (Facebook AI Research)
Related Events (a corresponding poster, oral, or spotlight)
-
2017 Poster: Poincaré Embeddings for Learning Hierarchical Representations »
Wed. Dec 6th 02:30 -- 06:30 AM Room Pacific Ballroom #104
More from the Same Authors
-
2021 : Facebook - Data Centric Infrastructure »
Douwe Kiela -
2021 Oral: Moser Flow: Divergence-based Generative Modeling on Manifolds »
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman -
2021 Poster: True Few-Shot Learning with Language Models »
Ethan Perez · Douwe Kiela · Kyunghyun Cho -
2021 : Invited talk - Douwe Kiela »
Douwe Kiela -
2021 Poster: Dynaboard: An Evaluation-As-A-Service Platform for Holistic Next-Generation Benchmarking »
Zhiyi Ma · Kawin Ethayarajh · Tristan Thrush · Somya Jain · Ledell Wu · Robin Jia · Christopher Potts · Adina Williams · Douwe Kiela -
2021 : Introduction Competion Day 1 »
Douwe Kiela -
2021 Poster: Human-Adversarial Visual Question Answering »
Sasha Sheng · Amanpreet Singh · Vedanuj Goswami · Jose Magana · Tristan Thrush · Wojciech Galuba · Devi Parikh · Douwe Kiela -
2021 Poster: Moser Flow: Divergence-based Generative Modeling on Manifolds »
Noam Rozen · Aditya Grover · Maximilian Nickel · Yaron Lipman -
2020 : Q & A and Panel Session with Dan Weld, Kristen Grauman, Scott Yih, Emma Brunskill, and Alex Ratner »
Kristen Grauman · Wen-tau Yih · Alexander Ratner · Emma Brunskill · Douwe Kiela · Daniel S. Weld -
2020 Workshop: HAMLETS: Human And Model in the Loop Evaluation and Training Strategies »
Divyansh Kaushik · Bhargavi Paranjape · Forough Arabshahi · Yanai Elazar · Yixin Nie · Max Bartolo · Polina Kirichenko · Pontus Lars Erik Saito Stenetorp · Mohit Bansal · Zachary Lipton · Douwe Kiela -
2020 : Opening Remarks »
Divyansh Kaushik · Bhargavi Paranjape · Douwe Kiela -
2020 : The Hateful Memes Challenge: Live award ceremony and winner presentations »
Douwe Kiela -
2020 : The Hateful Memes Challenge: Competition Overview »
Douwe Kiela -
2020 : Deep Riemannian Manifold Learning »
Aaron Lou · Maximilian Nickel · Brandon Amos -
2020 Workshop: Differential Geometry meets Deep Learning (DiffGeo4DL) »
Joey Bose · Emile Mathieu · Charline Le Lan · Ines Chami · Frederic Sala · Christopher De Sa · Maximilian Nickel · Christopher Ré · Will Hamilton -
2020 Poster: Riemannian Continuous Normalizing Flows »
Emile Mathieu · Maximilian Nickel -
2020 Poster: The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes »
Douwe Kiela · Hamed Firooz · Aravind Mohan · Vedanuj Goswami · Amanpreet Singh · Pratik Ringshia · Davide Testuggine -
2020 Poster: Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks »
Patrick Lewis · Ethan Perez · Aleksandra Piktus · Fabio Petroni · Vladimir Karpukhin · Naman Goyal · Heinrich Küttler · Mike Lewis · Wen-tau Yih · Tim Rocktäschel · Sebastian Riedel · Douwe Kiela -
2020 Poster: Learning Optimal Representations with the Decodable Information Bottleneck »
Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam -
2020 Spotlight: Learning Optimal Representations with the Decodable Information Bottleneck »
Yann Dubois · Douwe Kiela · David Schwab · Ramakrishna Vedantam -
2019 : Audrey Durand, Douwe Kiela, Kamalika Chaudhuri moderated by Yann Dauphin »
Audrey Durand · Kamalika Chaudhuri · Yann Dauphin · Orhan Firat · Dilan Gorur · Douwe Kiela -
2019 : Douwe Kiela - Benchmarking Progress in AI: A New Benchmark for Natural Language Understanding »
Douwe Kiela -
2019 Workshop: Emergent Communication: Towards Natural Language »
Abhinav Gupta · Michael Noukhovitch · Cinjon Resnick · Natasha Jaques · Angelos Filos · Marie Ossenkopf · Angeliki Lazaridou · Jakob Foerster · Ryan Lowe · Douwe Kiela · Kyunghyun Cho -
2019 Poster: Hyperbolic Graph Neural Networks »
Qi Liu · Maximilian Nickel · Douwe Kiela -
2018 : Invited Talk 4 »
Maximilian Nickel -
2018 : Spotlights »
Guangneng Hu · Ke Li · Aviral Kumar · Phi Vu Tran · Samuel G. Fadel · Rita Kuznetsova · Bong-Nam Kang · Behrouz Haji Soleimani · Jinwon An · Nathan de Lara · Anjishnu Kumar · Tillman Weyde · Melanie Weber · Kristen Altenburger · Saeed Amizadeh · Xiaoran Xu · Yatin Nandwani · Yang Guo · Maria Pacheco · William Fedus · Guillaume Jaume · Yuka Yoneda · Yunpu Ma · Yunsheng Bai · Berk Kapicioglu · Maximilian Nickel · Fragkiskos Malliaros · Beier Zhu · Aleksandar Bojchevski · Joshua Joseph · Gemma Roig · Esma Balkir · Xander Steenbrugge -
2018 Workshop: Emergent Communication Workshop »
Jakob Foerster · Angeliki Lazaridou · Ryan Lowe · Igor Mordatch · Douwe Kiela · Kyunghyun Cho -
2018 : Panel Discussion »
Antonio Torralba · Douwe Kiela · Barbara Landau · Angeliki Lazaridou · Joyce Chai · Christopher Manning · Stevan Harnad · Roozbeh Mottaghi -
2018 : Douwe Kiela - Learning Multimodal Embeddings »
Douwe Kiela -
2017 Workshop: Emergent Communication Workshop »
Jakob Foerster · Igor Mordatch · Angeliki Lazaridou · Kyunghyun Cho · Douwe Kiela · Pieter Abbeel -
2017 : Learning Hierarchical Representations of Relational Data »
Maximilian Nickel -
2016 Workshop: Learning with Tensors: Why Now and How? »
Anima Anandkumar · Rong Ge · Yan Liu · Maximilian Nickel · Qi (Rose) Yu -
2015 Symposium: Brains, Minds and Machines »
Gabriel Kreiman · Tomaso Poggio · Maximilian Nickel -
2014 Poster: Reducing the Rank in Relational Factorization Models by Including Observable Patterns »
Maximilian Nickel · Xueyan Jiang · Volker Tresp -
2014 Spotlight: Reducing the Rank in Relational Factorization Models by Including Observable Patterns »
Maximilian Nickel · Xueyan Jiang · Volker Tresp