Word Representations via Gaussian Embedding

20 December 2014

Papers citing "Word Representations via Gaussian Embedding"

50 / 62 papers shown

Title
RICA2: Rubric-Informed, Calibrated Assessment of Actions Abrar Majeedi Viswanatha Reddy Gajjala Satya Sai Srinath Namburi Gnvv Yin Li CML 36 2 0 04 Aug 2024
AST-MHSA : Code Summarization using Multi-Head Self-Attention Y. Nagaraj U. Gupta 25 1 0 10 Aug 2023
Representation Learning via Variational Bayesian Networks Oren Barkan Avi Caciularu Idan Rejwan Ori Katz Jonathan Weill Itzik Malkiel Noam Koenigstein BDL 24 15 0 28 Jun 2023
Quantifying Representation Reliability in Self-Supervised Learning Models Young-Jin Park Hao Wang Shervin Ardeshir Navid Azizan SSL UQCV 41 3 0 31 May 2023
Unsupervised Semantic Variation Prediction using the Distribution of Sibling Embeddings Taichi Aida Danushka Bollegala 26 8 0 15 May 2023
Geometric Relational Embeddings: A Survey Bo Xiong M. Nayyeri Ming Jin Yunjie He Michael Cochez Shirui Pan Steffen Staab 45 7 0 24 Apr 2023
Probabilistic Prompt Learning for Dense Prediction Hyeongjun Kwon Taeyong Song Somi Jeong Jin-Hwa Kim Jinhyun Jang Kwanghoon Sohn VLM 50 18 0 03 Apr 2023
Robust probabilistic inference via a constrained transport metric Abhisek Chakraborty A. Bhattacharya D. Pati 33 3 0 17 Mar 2023
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation Ziwei Fan Zhiwei Liu Hao Peng Philip S Yu 34 15 0 28 Jan 2023
Personalised Federated Learning On Heterogeneous Feature Spaces A. Rakotomamonjy Maxime Vono H. M. Ruiz L. Ralaivola FedML 23 8 0 26 Jan 2023
Language Cognition and Language Computation -- Human and Machine Language Understanding Shaonan Wang Nai Ding Nan Lin Jiajun Zhang Chengqing Zong 30 2 0 12 Jan 2023
Improving Cross-Modal Retrieval with Set of Diverse Embeddings Dongwon Kim Nam-Won Kim Suha Kwak 31 37 0 30 Nov 2022
Probabilistic Deep Metric Learning for Hyperspectral Image Classification Cheng-Hao Wang Wenzhao Zheng Xian Sun Jiwen Lu Jie Zhou 21 1 0 15 Nov 2022
Subspace Representations for Soft Set Operations and Sentence Similarities Yoichi Ishibashi Sho Yokoi Katsuhito Sudoh Satoshi Nakamura NAI 34 1 0 24 Oct 2022
Probabilistic Representations for Video Contrastive Learning Jungin Park Jiyoung Lee Ig-Jae Kim Kwanghoon Sohn SSL 38 44 0 08 Apr 2022
FALCON: Fast Visual Concept Learning by Integrating Images, Linguistic descriptions, and Conceptual Relations Lingjie Mei Jiayuan Mao Ziqi Wang Chuang Gan J. Tenenbaum VLM 29 21 0 30 Mar 2022
Unsupervised Alignment of Distributional Word Embeddings Aissatou Diallo Johannes Fürnkranz 34 0 0 09 Mar 2022
Sequential Recommendation via Stochastic Self-Attention Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 36 138 0 16 Jan 2022
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification Sung Hwan Mun Min Hyun Han Dongjune Lee Jihwan Kim N. Kim SSL 43 3 0 16 Dec 2021
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision Dongha Lee Dongmin Hyun Jiawei Han Hwanjo Yu OOD 42 1 0 24 Nov 2021
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning Sarkar Snigdha Sarathi Das Arzoo Katiyar R. Passonneau Rui Zhang 40 141 0 15 Sep 2021
Word2Box: Capturing Set-Theoretic Semantics of Words using Box Embeddings S. Dasgupta Michael Boratko Siddhartha Mishra Shriya Atmakuri Dhruvesh Patel Xiang Lorraine Li Andrew McCallum NAI 33 21 0 28 Jun 2021
Directed Graph Embeddings in Pseudo-Riemannian Manifolds Aaron Sim Maciej Wiatrak Angus Brayne Páidí Creed Saee Paliwal 21 15 0 16 Jun 2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance Masaru Isonuma Junichiro Mori Danushka Bollegala Ichiro Sakata 21 27 0 15 Jun 2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Ziwei Fan Zhiwei Liu Lei Zheng Shen Wang Philip S. Yu 40 49 0 11 Jun 2021
Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task Sonia K. Murthy Thomas Griffiths Robert D. Hawkins 13 8 0 13 May 2021
Robust Embeddings Via Distributions Kira A. Selby Yinong Wang Ruizhe Wang Peyman Passban Ahmad Rashid Mehdi Rezagholizadeh Pascal Poupart OOD 32 3 0 17 Apr 2021
Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation Gengcong Yang Jingyi Zhang Yong Zhang Baoyuan Wu Yujiu Yang 25 67 0 09 Mar 2021
Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun Seong Joon Oh Rafael Sampaio de Rezende Yannis Kalantidis Diane Larlus UQCV 415 203 0 13 Jan 2021
Modeling Fine-Grained Entity Types with Box Embeddings Yasumasa Onoe Michael Boratko Andrew McCallum Greg Durrett OCL 43 67 0 02 Jan 2021
Self-Supervised Hyperboloid Representations from Logical Queries over Knowledge Graphs Nurendra Choudhary Nikhil S. Rao S. Katariya Karthik Subbian Chandan K. Reddy 16 64 0 23 Dec 2020
Understanding graph embedding methods and their applications Mengjia Xu 26 129 0 15 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 62 1,179 0 04 Nov 2020
Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs Hongyu Ren J. Leskovec BDL 23 206 0 22 Oct 2020
Quantum Natural Language Processing on Near-Term Quantum Computers K. Meichanetzidis S. Gogioso G. Felice Nicolò Chiappori Alexis Toumi B. Coecke 46 67 0 08 May 2020
An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality Silviu Pitis Harris Chan Kiarash Jamali Jimmy Ba 8 24 0 14 Feb 2020
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence P. Jayashree Ballijepalli Shreya P. K. Srijith 26 2 0 12 Nov 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 13 14 0 25 Sep 2019
Interpretable Word Embeddings via Informative Priors Miriam Hurtado Bodell Martin Arvidsson Måns Magnusson 35 18 0 03 Sep 2019
Neural Variational Inference For Estimating Uncertainty in Knowledge Graph Embeddings Alexander I. Cowen-Rivers Pasquale Minervini Tim Rocktaschel Matko Bosnjak Sebastian Riedel Jun Wang BDL 31 4 0 12 Jun 2019
Correlation Coefficients and Semantic Textual Similarity V. Zhelezniak Aleksandar Savkov April Shen Nils Y. Hammerla 30 50 0 19 May 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 33 40 0 24 Jan 2019
Poincaré GloVe: Hyperbolic Word Embeddings A. Tifrea Gary Bécigneul O. Ganea 29 280 0 15 Oct 2018
Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking Shikhar Murty Pat Verga Luke Vilnis Irena Radovanovic Andrew McCallum 32 91 0 13 Jul 2018
Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry Maximilian Nickel Douwe Kiela 13 453 0 09 Jun 2018
On representation power of neural network-based graph embedding and beyond Akifumi Okuno Hidetoshi Shimodaira 21 2 0 31 May 2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions Boris Muzellec Marco Cuturi 36 78 0 19 May 2018
English Out-of-Vocabulary Lexical Evaluation Task Han Wang Ye Wang Xinxiang Zhang Mi Lu Yoonsuck Choe Jingjing Cao 13 3 0 11 Apr 2018
Understanding Actors and Evaluating Personae with Gaussian Embeddings Hannah Kim Denys Katerenchuk Daniel Billet Jun Huan Haesun Park Boyang Albert Li 21 4 0 06 Apr 2018
Deep Generative Model for Joint Alignment and Word Representation Miguel Rios Wilker Aziz K. Simaán 41 4 0 16 Feb 2018