• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 73 matches

• 2020
• 
  Yuval Varkel, Amir Globerson:
  Pre-training Mention Representations in Coreference Models. EMNLP (1) 2020: 8534-8540
• 
  Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Peng Li, Maosong Sun, Zhiyuan Liu:
  Coreferential Reasoning Learning for Language Representation. EMNLP (1) 2020: 7170-7186
• 
  Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
  Online Learning of Object Representations by Appearance Space Feature Alignment. ICRA 2020: 10473-10479
• 
  Ratikanta Behera, Jajati Keshari Sahoo, Ram N. Mohapatra:
  Characterization and Representation of Weighted Core Inverse of Matrices. CoRR abs/2002.03812 (2020)
• 
  Deming Ye, Yankai Lin, Jiaju Du, Zhenghao Liu, Maosong Sun, Zhiyuan Liu:
  Coreferential Reasoning Learning for Language Representation. CoRR abs/2004.06870 (2020)
• 
  Harshvardhan Sikka:
  A Deeper Look at the Unsupervised Learning of Disentangled Representations in β-VAE from the Perspective of Core Object Recognition. CoRR abs/2005.07114 (2020)
• 
  Yiwen Meng, William Speier, Michael K. Ong, Corey W. Arnold:
  Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data for Chronic to Predict Depression. CoRR abs/2009.12656 (2020)
• 
  Xiaodong Yu, Wenpeng Yin, Dan Roth:
  Paired Representation Learning for Event and Entity Coreference. CoRR abs/2010.12808 (2020)
• 
  Nikolaos Stylianou, Ioannis P. Vlahavas:
  E.T.: Entity-Transformers. Coreference augmented Neural Language Model for richer mention representations via Entity-Transformer blocks. CoRR abs/2011.05431 (2020)
• 
  Corey J. Maley:
  Analog Computation and Representation. CoRR abs/2012.05965 (2020)
• 2019
• 
  Corey J. Hayes, Jonathan P. Bona, Mathias Brochhausen:
  Using Semantic Representations for Urine Drug Tests in the Veterans Health Administration. AMIA 2019
• 
  Zeyu Dai, Hongliang Fei, Ping Li:
  Coreference Aware Representation Learning for Neural Named Entity Recognition. IJCAI 2019: 4946-4953
• 
  Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet:
  Wasserstein Dependency Measure for Representation Learning. NeurIPS 2019: 15578-15588
• 
  Xiangjun Peng, Qingfeng Wang, Xu Sun, Chunye Gong, Yaohua Wang:
  Succinct Representations in Collaborative Filtering: A Case Study using Wavelet Tree on 1, 000 Cores. PDCAT 2019: 427-432
• 
  Sherjil Ozair, Corey Lynch, Yoshua Bengio, Aäron van den Oord, Sergey Levine, Pierre Sermanet:
  Wasserstein Dependency Measure for Representation Learning. CoRR abs/1903.11780 (2019)
• 
  Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet:
  Online Object Representations with Contrastive Learning. CoRR abs/1906.04312 (2019)
• 2018
• 
  Mengmeng Zhou, Jianlong Chen:
  Integral representations of two generalized core inverses. Appl. Math. Comput. 333: 187-193 (2018)
• 
  Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
  CAKE: a Compact and Accurate K-dimensional representation of Emotion. BMVC 2018: 316
• 
  Said Fathalla, Sahar Vahdati, Sören Auer, Christoph Lange:
  SemSur: A Core Ontology for the Semantic Representation of Research Findings. SEMANTICS 2018: 151-162
• 
  Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, Emmanuel Dupoux:
  Sampling Strategies in Siamese Networks for Unsupervised Speech Representation Learning. INTERSPEECH 2018: 2658-2662
• 
  Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
  Learning Actionable Representations from Visual Observations. IROS 2018: 1577-1584
• 
  Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
  Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. *SEM@NAACL-HLT 2018: 1-10
• 
  Corentin Mercier, Pietro Gori, Damien Rohmer, Marie-Paule Cani, Tamy Boubekeur, Jean-Marc Thiery, Isabelle Bloch:
  Progressive and Efficient Multi-Resolution Representations for Brain Tractograms. VCBM@MICCAI 2018: 89-93
• 
  Rachid Riad, Corentin Dancette, Julien Karadayi, Neil Zeghidour, Thomas Schatz, Emmanuel Dupoux:
  Sampling strategies in Siamese Networks for unsupervised speech representation learning. CoRR abs/1804.11297 (2018)
• 
  Kian Kenyon-Dean, Jackie Chi Kit Cheung, Doina Precup:
  Resolving Event Coreference with Supervised Representation Learning and Clustering-Oriented Regularization. CoRR abs/1805.10985 (2018)
• 
  Corentin Kervadec, Valentin Vielzeuf, Stéphane Pateux, Alexis Lechervy, Frédéric Jurie:
  CAKE: Compact and Accurate K-dimensional representation of Emotion. CoRR abs/1807.11215 (2018)
• 
  Debidatta Dwibedi, Jonathan Tompson, Corey Lynch, Pierre Sermanet:
  Learning Actionable Representations from Visual Observations. CoRR abs/1808.00928 (2018)
• 2017
• 
  Wolfgang Glänzel, Bart Thijs:
  Using hybrid methods and 'core documents' for the representation of clusters and topics: the astronomy dataset. Scientometrics 111(2): 1071-1087 (2017)
• 2016
• 
  Junjie Xue, Gang Zhao, Wenlei Xiao:
  Efficient GPU out-of-core visualization of large-scale CAD models with voxel representations. Adv. Eng. Softw. 99: 73-80 (2016)
• 
  Shuaipeng Hu, Qinghua Zhang, Longyang Yao:
  一种基于二进制表示的快速求核算法 (Effective Algorithm for Computing Attribute Core Based on Binary Representation). 计算机科学 43(12): 79-83 (2016)

skipping 43 more matches