Aparajita Haldar

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All published works

Action	Title	Year	Authors
+ PDF Chat	D3-GNN: Dynamic Distributed Dataflow for Streaming Graph Neural Networks	2024	Rustam Guliyev Aparajita Haldar Hakan Ferhatosmanoğlu
+ PDF Chat	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2022	Gündüz Vehbi Demirci Aparajita Haldar Hakan Ferhatosmanoğlu
+ PDF Chat	RAGUEL	2022	Aparajita Haldar Teddy Cunningham Hakan Ferhatosmanoğlu
+	Temporal Cascade Model for Analyzing Spread in Evolving Networks with Disease Monitoring Applications	2022	Aparajita Haldar Shuang Wang Gunduz Demirci Joe Oakley Hakan Ferhatosmanoğlu
+	Scalable Graph Convolutional Network Training on Distributed-Memory Systems	2022	Gündüz Vehbi Demirci Aparajita Haldar Hakan Ferhatosmanoğlu
+	Characterizing the impact of geometric properties of word embeddings on task performance	2019	Brendan Whitaker Denis Newman-Griffis Aparajita Haldar Hakan Ferhatosmanoğlu Eric Fosler‐Lussier
+ PDF Chat	Characterizing the Impact of Geometric Properties of Word Embeddings on Task Performance	2019	Brendan Whitaker Denis Newman-Griffis Aparajita Haldar Hakan Ferhatosmanoğlu Eric Fosler‐Lussier
+	Characterizing the impact of geometric properties of word embeddings on task performance	2019	Brendan Whitaker Denis Newman-Griffis Aparajita Haldar Hakan Ferhatosmanoğlu Eric Fosler‐Lussier
+	Hypothesis Only Baselines in Natural Language Inference	2018	Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme
+	Towards a Unified Natural Language Inference Framework to Evaluate Sentence Representations	2018	Adam Poliak Aparajita Haldar Rachel Rudinger J. Edward Hu Ellie Pavlick Aaron Steven White Benjamin Van Durme
+ PDF Chat	Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation	2018	Adam Poliak Aparajita Haldar Rachel Rudinger J. Edward Hu Ellie Pavlick Aaron Steven White Benjamin Van Durme
+	Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation	2018	Adam Poliak Aparajita Haldar Rachel Rudinger J. Edward Hu Ellie Pavlick Aaron Steven White Benjamin Van Durme
+	Hypothesis Only Baselines in Natural Language Inference	2018	Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme
+	Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation	2018	Adam Poliak Aparajita Haldar Rachel Rudinger Jingyue Hu Ellie Pavlick Aaron Steven White Benjamin Van Durme
+	Hypothesis Only Baselines in Natural Language Inference	2018	Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme

Common Coauthors

Coauthor	Papers Together
Hakan Ferhatosmanoğlu	8
Benjamin Van Durme	7
Adam Poliak	7
Rachel Rudinger	7
Ellie Pavlick	4
Aaron Steven White	4
Denis Newman-Griffis	3
Eric Fosler‐Lussier	3
J. Edward Hu	3
Jason Naradowsky	3
Brendan Whitaker	2
Gündüz Vehbi Demirci	2
Gunduz Demirci	1
Brendan Whitaker	1
Rustam Guliyev	1
Joe Oakley	1
Jingyue Hu	1
Shuang Wang	1
Teddy Cunningham	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	A large annotated corpus for learning natural language inference	2015	Samuel R. Bowman Gabor Angeli Christopher Potts Christopher D. Manning	5
+	Annotation Artifacts in Natural Language Inference Data	2018	Suchin Gururangan Swabha Swayamdipta Omer Levy Roy Schwartz Samuel R. Bowman Noah A. Smith	3
+	Performance Impact Caused by Hidden Bias of Training Data for Recognizing Textual Entailment	2018	Masatoshi Tsuchiya	3
+ PDF Chat	Supervised Learning of Universal Sentence Representations from Natural Language Inference Data	2017	Alexis Conneau Douwe Kiela Holger Schwenk Loïc Barrault Antoine Bordes	3
+ PDF Chat	Ordinal Common-sense Inference	2017	Sheng Zhang Rachel Rudinger Kevin Duh Benjamin Van Durme	3
+	Natural Language Inference from Multiple Premises	2017	Alice Lai Yonatan Bisk Julia Hockenmaier	3
+	A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference	2018	Adina Williams Nikita Nangia Samuel Bowman	3
+ PDF Chat	Enriching Word Vectors with Subword Information	2017	Piotr Bojanowski Édouard Grave Armand Joulin Tomáš Mikolov	2
+	Efficient Estimation of Word Representations in Vector Space	2013	Tomáš Mikolov Kai Chen Greg S. Corrado Jay B. Dean	2
+	Introduction to the CoNLL-2002 Shared Task: Language-Independent Named Entity Recognition	2002	Erik F. Tjong Kim Sang	2
+	Factors Influencing the Surprising Instability of Word Embeddings	2018	Laura Burdick Jonathan K. Kummerfeld Rada Mihalcea	2
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	2
+	Kernel methods in machine learning	2008	Thomas Hofmann Bernhard Schölkopf Alexander J. Smola	2
+	Second-Order Word Embeddings from Nearest Neighbor Topological Features	2017	Denis Newman-Griffis Eric Fosler‐Lussier	2
+	Navigating the Semantic Horizon using Relative Neighborhood Graphs	2015	Amaru Cuba Gyllensten Magnus Sahlgren	2
+	Deep Contextualized Word Representations	2018	Matthew E. Peters Mark E Neumann Mohit Iyyer Matt Gardner Christopher Clark Kenton Lee Luke Zettlemoyer	2
+	Hypothesis Only Baselines in Natural Language Inference	2018	Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme	2
+	Improving Negative Sampling for Word Representation using Self-embedded Features	2018	Long Chen Fajie Yuan Joemon M. Jose Weinan Zhang	2
+ PDF Chat	Partitioning sparse deep neural networks for scalable training and inference	2021	Gündüz Vehbi Demirci Hakan Ferhatosmanoğlu	2
+	Neural Models of Factuality	2018	Rachel Rudinger Aaron Steven White Benjamin Van Durme	2
+	Sparse Overcomplete Word Vector Representations	2015	Manaal Faruqui Yulia Tsvetkov Dani Yogatama Chris Dyer Noah A. Smith	2
+	Issues in evaluating semantic spaces using word analogies	2016	Tal Linzen	2
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	2
+	Evaluating Compositionality in Sentence Embeddings	2018	Ishita Dasgupta Demi Guo Andreas Stuhlmüller Samuel J. Gershman Noah D. Goodman	2
+	Breaking NLI Systems with Sentences that Require Simple Lexical Inferences	2018	Max Glockner Vered Shwartz Yoav Goldberg	2
+	Problems With Evaluation of Word Embeddings Using Word Similarity Tasks	2016	Manaal Faruqui Yulia Tsvetkov Pushpendre Rastogi Chris Dyer	2
+	Gender Bias in Coreference Resolution	2018	Rachel Rudinger Jason Naradowsky Brian Leonard Benjamin Van Durme	2
+	Insights into Analogy Completion from the Biomedical Domain	2017	Denis Newman-Griffis Albert M. Lai Eric Fosler‐Lussier	2
+	On the Evaluation of Semantic Phenomena in Neural Machine Translation Using Natural Language Inference	2018	Adam Poliak Yonatan Belinkov James Glass Benjamin Van Durme	2
+ PDF Chat	Multi-Task Video Captioning with Video and Entailment Generation	2017	Ramakanth Pasunuru Mohit Bansal	2
+ PDF Chat	Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies	2016	Tal Linzen Emmanuel Dupoux Yoav Goldberg	2
+ PDF Chat	The Role of Context Types and Dimensionality in Learning Word Embeddings	2016	Oren Melamud David McClosky Siddharth Patwardhan Mohit Bansal	2
+	SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals	2019	Iris Hendrickx Su‐Nam Kim Zornitsa Kozareva Preslav Nakov Diarmuid Ó Séaghdha Sebastian Padó Marco Pennacchiotti Lorenza Romano Stan Śzpakowicz	2
+ PDF Chat	Neural Architectures for Named Entity Recognition	2016	Guillaume Lample Miguel Ballesteros Sandeep Subramanian Kazuya Kawakami Chris Dyer	2
+ PDF Chat	What do Neural Machine Translation Models Learn about Morphology?	2017	Yonatan Belinkov Nadir Durrani Fahim Dalvi Hassan Sajjad James Glass	2
+ PDF Chat	Streaming Graph Neural Networks	2020	Yao Ma Ziyi Guo Zhaocun Ren Jiliang Tang Dawei Yin	1
+ PDF Chat	Streaming Graph Neural Networks via Continual Learning	2020	Junshan Wang Guojie Song Yi Wu Liang Wang	1
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	1
+ PDF Chat	A Survey of Paraphrasing and Textual Entailment Methods	2010	Ion Androutsopoulos Prodromos Malakasiotis	1
+ PDF Chat	GRASS: Generative Recursive Autoencoders for Shape Structures	2017	Jun Li Kai Xu Siddhartha Chaudhuri Ersin Yumer Hao Zhang Leonidas Guibas	1
+ PDF Chat	FeatGraph: A Flexible and Efficient Backend for Graph Neural Network Systems	2020	Yuwei Hu Zihao Ye Minjie Wang Jiali Yu Da Zheng Mu Li Zheng Zhang Zhiru Zhang Yida Wang	1
+ PDF Chat	ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation	2021	Liangwei Yang Zhiwei Liu Yingtong Dou Jing Ma Philip S. Yu	1
+ PDF Chat	Scalable Graph Neural Network Training	2021	Marco Serafini Hui Guan	1
+ PDF Chat	DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs	2020	Da Zheng Chao Ma Minjie Wang Jinjing Zhou Qidong Su Xiang Song Quan Gan Zheng Zhang George Karypis	1
+ PDF Chat	Model-Parallel Model Selection for Deep Learning Systems	2021	Kabir Nagrecha	1
+ PDF Chat	A Survey on Bias and Fairness in Machine Learning	2021	Ninareh Mehrabi Fred Morstatter Nripsuta Ani Saxena Kristina Lerman Aram Galstyan	1
+ PDF Chat	Large graph convolutional network training with GPU-oriented data communication architecture	2021	Seung Won Min Kun Wu Sitao Huang Mert Hidayetoğlu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen‐mei Hwu	1
+ PDF Chat	Characterizing and Understanding Distributed GNN Training on GPUs	2022	Haiyang Lin Mingyu Yan Xiaocheng Yang Mo Zou Wenming Li Xiaochun Ye Dongrui Fan	1
+ PDF Chat	HET	2021	Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi Yang Yangyu Tao Bin Cui	1
+ PDF Chat	High-Quality Hypergraph Partitioning	2022	Sebastian Schlag Tobias Heuer Lars Gottesbüren Yaroslav Akhremtsev Christian Schulz Peter Sanders	1