Partha P. Talukdar

94 papers A* 18A 7B 2Journal 39Unranked 28

Year	Rank	Type	Title / Venue / Authors
2023	—	`conf`	HEAL: Unlocking the Potential of Learning on Hypergraphs Enriched With Attributes and Layers. LoG Naganand Yadati, Tarun Kumar, Deepak Maurya, Balaraman Ravindran, Partha P. Talukdar
2023	B	`ed.`	Proceedings of the 16th International Conference on Educational Data Mining, EDM 2023, Bengaluru, India, July 11-14, 2023 EDM Mingyu Feng, Tanja Käser, Partha P. Talukdar, Rakesh Agrawal, Y. Narahari, Mykola Pechenizkiy
2023	A	`conf`	TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. EACL Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
2022	J	`jnl`	Bootstrapping Multilingual Semantic Parsers using Large Language Models. CoRR Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar
2022	J	`jnl`	Cultural Re-contextualization of Fairness Research in Language Technologies in India. CoRR Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	J	`jnl`	Evaluating Inclusivity, Equity, and Accessibility of NLP Technology: A Case Study for Indian Languages. CoRR Simran Khanuja, Sebastian Ruder, Partha P. Talukdar
2022	J	`jnl`	GPU-accelerated connectome discovery at scale. Nat. Comput. Sci. Varsha Sreenivasan, Sawan Kumar, Franco Pestilli, Partha P. Talukdar, Devarajan Sridharan
2022	—	`conf`	Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. ACL (1) Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
2022	J	`jnl`	Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages. CoRR Vaidehi Patil, Partha P. Talukdar, Sunita Sarawagi
2022	J	`jnl`	Parameter-Efficient Finetuning for Robust Continual Multilingual Learning. CoRR Kartikeya Badola, Shachi Dave, Partha P. Talukdar
2022	—	`conf`	Re-contextualizing Fairness in NLP: The Case of India. AACL/IJCNLP (1) Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	J	`jnl`	Re-contextualizing Fairness in NLP: The Case of India. CoRR Shaily Bhatt, Sunipa Dev, Partha P. Talukdar, Shachi Dave, Vinodkumar Prabhakaran
2022	J	`jnl`	TwiRGCN: Temporally Weighted Graph Convolution for Question Answering over Temporal Knowledge Graphs. CoRR Aditya Sharma, Apoorv Saxena, Chitrank Gupta, Seyed Mehran Kazemi, Partha P. Talukdar, Soumen Chakrabarti
2021	—	`conf`	Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. ACL/IJCNLP (1) Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
2021	J	`jnl`	Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study. CoRR Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil, Abhijeet Awasthi, Partha P. Talukdar, Sunita Sarawagi
2021	—	`conf`	Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs. PAKDD (1) Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha P. Talukdar, Anand Louis
2021	—	`conf`	MergeDistill: Merging Language Models using Pre-trained Distillation. ACL/IJCNLP (Findings) Simran Khanuja, Melvin Johnson, Partha P. Talukdar
2021	J	`jnl`	MergeDistill: Merging Pre-trained Language Models using Distillation. CoRR Simran Khanuja, Melvin Johnson, Partha P. Talukdar
2021	J	`jnl`	MuRIL: Multilingual Representations for Indian Languages. CoRR Simran Khanuja, Diksha Bansal, Sarvesh Mehtani, Savya Khosla, Atreyee Dey, Balaji Gopalan, Dilip Kumar Margam, Pooja Aggarwal, Rajiv Teja Nagipogu, Shachi Dave, Shruti Gupta, Subhash Chandra Bose Gali, Vish Subramanian, Partha P. Talukdar
2021	—	`conf`	Multilingual Fact Linking. AKBC Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
2021	J	`jnl`	Multilingual Fact Linking. CoRR Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha P. Talukdar
2021	—	`conf`	OKGIT: Open Knowledge Graph Link Prediction with Implicit Types. ACL/IJCNLP (Findings) Chandrahas, Partha P. Talukdar
2021	—	`conf`	Question Answering Over Temporal Knowledge Graphs. ACL/IJCNLP (1) Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar
2021	J	`jnl`	Question Answering Over Temporal Knowledge Graphs. CoRR Apoorv Saxena, Soumen Chakrabarti, Partha P. Talukdar
2021	—	`conf`	Reordering Examples Helps during Priming-based Few-Shot Learning. ACL/IJCNLP (Findings) Sawan Kumar, Partha P. Talukdar
2021	J	`jnl`	Reordering Examples Helps during Priming-based Few-Shot Learning. CoRR Sawan Kumar, Partha P. Talukdar
2020	A*	`conf`	A Re-evaluation of Knowledge Graph Completion Methods. ACL Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2020	A*	`conf`	ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations. AAAI Ekagra Ranjan, Soumya Sanyal, Partha P. Talukdar
2020	A*	`conf`	Composition-based Multi-Relational Graph Convolutional Networks. ICLR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2020	—	`conf`	Graph-based Deep Learning in Natural Language Processing. COMAD/CODS Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar
2020	A	`conf`	Improving Document Classification with Multi-Sense Embeddings. ECAI Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar
2020	A*	`conf`	Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings. ACL Apoorv Saxena, Aditay Tripathi, Partha P. Talukdar
2020	—	`conf`	Inducing Interpretability in Knowledge Graph Embeddings. ICON Chandrahas, Tathagata Sengupta, Cibi Pragadeesh, Partha P. Talukdar
2020	A*	`conf`	InteractE: Improving Convolution-Based Knowledge Graph Embeddings by Increasing Feature Interactions. AAAI Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
2020	—	`conf`	Learning to Interact: An Adaptive Interaction Framework for Knowledge Graph Embeddings. ICON Chandrahas, Nilesh Agrawal, Partha P. Talukdar
2020	A	`conf`	NHP: Neural Hypergraph Link Prediction. CIKM Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, Partha P. Talukdar
2020	A*	`conf`	NILE : Natural Language Inference with Faithful Natural Language Explanations. ACL Sawan Kumar, Partha P. Talukdar
2020	J	`jnl`	NILE : Natural Language Inference with Faithful Natural Language Explanations. CoRR Sawan Kumar, Partha P. Talukdar
2020	A*	`conf`	P-SIF: Document Embeddings Using Partition Averaging. AAAI Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
2020	J	`jnl`	P-SIF: Document Embeddings Using Partition Averaging. CoRR Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai, Partha P. Talukdar
2020	J	`jnl`	Syntax-Guided Controlled Generation of Paraphrases. Trans. Assoc. Comput. Linguistics Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar
2020	J	`jnl`	Syntax-guided Controlled Generation of Paraphrases. CoRR Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha P. Talukdar
2019	J	`jnl`	A Re-evaluation of Knowledge Graph Completion Methods. CoRR Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal, Partha P. Talukdar, Yiming Yang
2019	J	`jnl`	AD3: Attentive Deep Document Dater. CoRR Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar
2019	J	`jnl`	CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. CoRR Shikhar Vashishth, Prince Jain, Partha P. Talukdar
2019	—	`conf`	CaRe: Open Knowledge Graph Embeddings. EMNLP/IJCNLP (1) Swapnil Gupta, Sreyash Kenkre, Partha P. Talukdar
2019	J	`jnl`	Composition-based Multi-Relational Graph Convolutional Networks. CoRR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Partha P. Talukdar
2019	A	`conf`	Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. AISTATS Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar
2019	J	`jnl`	Confidence-based Graph Convolutional Networks for Semi-Supervised Learning. CoRR Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Partha P. Talukdar
2019	J	`jnl`	Dating Documents using Graph Convolution Networks. CoRR Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
2019	J	`jnl`	Efficient and Distributed Generalized Canonical Correlation Analysis for Big Multiview Data. IEEE Trans. Knowl. Data Eng. Xiao Fu, Kejun Huang, Evangelos E. Papalexakis, Hyun Ah Song, Partha P. Talukdar, Nicholas D. Sidiropoulos, Christos Faloutsos, Tom M. Mitchell
2019	—	`conf`	Graph-based Deep Learning in Natural Language Processing. EMNLP/IJCNLP (2) Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar
2019	A*	`conf`	HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs. NeurIPS Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis, Partha P. Talukdar
2019	J	`jnl`	Improving Document Classification with Multi-Sense Embeddings. CoRR Vivek Gupta, Ankit Kumar, Pegah Nokhiz, Harshit Gupta, Partha P. Talukdar
2019	—	`conf`	Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks. ACL (1) Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
2019	J	`jnl`	InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions. CoRR Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal, Partha P. Talukdar
2019	A*	`conf`	ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs. AAAI Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan
2019	—	`conf`	Relating Simple Sentence Representations in Deep Neural Networks and the Brain. ACL (1) Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom M. Mitchell
2019	J	`jnl`	Relating Simple Sentence Representations in Deep Neural Networks and the Brain. CoRR Sharmistha Jat, Hao Tang, Partha P. Talukdar, Tom Michael Mitchell
2019	—	`conf`	Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation. NAACL-HLT (1) Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari, Partha P. Talukdar
2019	—	`conf`	Zero-shot Word Sense Disambiguation using Sense Definition Embeddings. ACL (1) Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha P. Talukdar
2018	A*	`conf`	AD3: Attentive Deep Document Dater. EMNLP Swayambhu Nath Ray, Shib Sankar Dasgupta, Partha P. Talukdar
2018	A*	`conf`	CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information. WWW Shikhar Vashishth, Prince Jain, Partha P. Talukdar
2018	—	`conf`	Dating Documents using Graph Convolution Networks. ACL (1) Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
2018	—	`conf`	ELDEN: Improved Entity Linking Using Densified Knowledge Graphs. NAACL-HLT Priya Radhakrishnan, Partha P. Talukdar, Vasudeva Varma
2018	J	`jnl`	Graph Convolutional Networks based Word Embeddings. CoRR Shikhar Vashishth, Prateek Yadav, Manik Bhandari, Piyush Rai, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	—	`conf`	Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation. ACL (1) Madhav Nimishakavi, Manish Gupta, Partha P. Talukdar
2018	A*	`conf`	HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding. EMNLP Shib Sankar Dasgupta, Swayambhu Nath Ray, Partha P. Talukdar
2018	J	`jnl`	Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. CoRR Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar
2018	J	`jnl`	MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction. CoRR Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, Partha P. Talukdar
2018	J	`jnl`	Never-ending learning. Commun. ACM Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
2018	A*	`conf`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. EMNLP Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	J	`jnl`	RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information. CoRR Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya, Partha P. Talukdar
2018	—	`conf`	Towards Understanding the Geometry of Knowledge Graph Embeddings. ACL (1) Chandrahas, Aditya Sharma, Partha P. Talukdar
2017	A	`conf`	BrainZoom: High Resolution Reconstruction from Multi-modal Brain Signals. SDM Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos E. Papalexakis, Partha P. Talukdar, Tom M. Mitchell, Nicholas D. Sidiropoulos, Christos Faloutsos, Barnabás Póczos
2017	J	`jnl`	CANDiS: Coupled & Attention-Driven Neural Distant Supervision. CoRR Tushar Nagarajan, Sharmistha Jat, Partha P. Talukdar
2017	J	`jnl`	Event Schema Induction using Tensor Factorization with Back-off. CoRR Madhav Nimishakavi, Partha P. Talukdar
2017	A	`conf`	FACETS: Adaptive Local Exploration of Large Graphs. SDM Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2017	—	`conf`	Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention. AKBC@NIPS Sharmistha Jat, Siddhesh Khandelwal, Partha P. Talukdar
2017	A*	`conf`	KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs. EMNLP Prakhar Ojha, Partha P. Talukdar
2017	—	`conf`	Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs. AKBC@NIPS Srinivas Ravishankar, Chandrahas Dewangan, Partha P. Talukdar
2017	A*	`conf`	Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods. EMNLP Aditya Sharma, Zarana Parekh, Partha P. Talukdar
2016	A	`conf`	Discovering Response-Eliciting Factors in Social Question Answering : A Reddit Inspired Study. ICWSM Danish, Yogesh Dahiya, Partha P. Talukdar
2016	B	`conf`	Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing. HCOMP Prakhar Ojha, Partha P. Talukdar
2016	A*	`conf`	Relation Schema Induction using Tensor Factorization with Side Information. EMNLP Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar
2016	J	`jnl`	Relation Schema Induction using Tensor Factorization with Side Information. CoRR Madhav Nimishakavi, Uday Singh Saini, Partha P. Talukdar
2016	J	`jnl`	Relational Crowdsourcing and its Application in Knowledge Graph Evaluation. CoRR Prakhar Ojha, Partha P. Talukdar
2015	A*	`conf`	An Entity-centric Approach for Overcoming Knowledge Graph Sparsity. EMNLP Manjunath Hegde, Partha P. Talukdar
2015	—	`conf`	Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. AAAI Spring Symposia Matt Gardner, Partha P. Talukdar, Tom Michael Mitchell
2015	A*	`conf`	Knowledge Base Inference using Bridging Entities. EMNLP Bhushan Kotnis, Pradeep Bansal, Partha P. Talukdar
2015	J	`jnl`	Seeing the Forest through the Trees: Adaptive Local Exploration of Large Graphs. CoRR Robert S. Pienta, Zhiyuan Lin, Minsuk Kahng, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau
2015	J	`jnl`	Want Answers? A Reddit Inspired Study on How to Pose Questions. CoRR Danish, Yogesh Dahiya, Partha P. Talukdar
2012	—	`conf`	Crowdsourced Comprehension: Predicting Prerequisite Structure in Wikipedia. BEA@NAACL-HLT Partha P. Talukdar, William W. Cohen
2012	—	`conf`	Selecting Corpus-Semantic Models for Neurolinguistic Decoding. *SEM@NAACL-HLT Brian Murphy, Partha P. Talukdar, Tom M. Mitchell