MALL Lab @ IISc

Books
Graph-based Semi-Supervised Learning Amarnag Subramanya, Partha Pratim Talukdar. Morgan & Claypool Publishers.
Tutorials
Graph-based Deep Learning in Natural Language Processing [Slides] Shikhar Vashishth, Naganand Yadati and Partha Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) , Hong Kong, China
Never-Ending Learning Tom Mitchell and Partha Talukdar International Conference on Machine Learning (ICML 2019), Long Beach, CA, USA
Knowledge Extraction and Inference from Text: Shallow, Deep, and Everything in Between [Part-1] [Part-2] Partha Talukdar International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, England
2022
Sequence-to-Sequence Knowledge Graph Completion and Question Answering Apoorv Saxena, Adrian Kochsiek and Rainer Gemulla ACL 2022
Answer-level Calibration for Free-form Multiple Choice Question Answering Sawan Kumar ACL 2022
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks Ashutosh Kumar and Aditya Joshi Findings of ACL 2022
2021
Question Answering over Temporal Knowledge Graphs [code] Apoorv Saxena, Soumen Chakrabarti and Partha Talukdar ACL 2021
Reordering Examples Helps during Priming-based Few-shot Learning [code] Sawan Kumar, Partha Talukdar Findings of ACL 2021
OKGIT: Open Knowledge Graph Link Prediction with Implicit Types [code] Chandrahas, Partha Talukdar Findings of ACL 2021
Spatial Reasoning from Natural Language Instructions for Robot Manipulation Sagar Gubbi Venkatesh, Anirban Biswas, Raviteja Upadrashta, Vikram Srinivasan, Partha Talukdar, Bharadwaj Amrutur ICRA 2021
Graph Neural Networks for Soft Semi-Supervised Learning on Hypergraphs [code] Naganand Yadati, Tingran Gao, Shahab Asoodeh, Partha Talukdar, Anand Louis PAKDD 2021
2020
NHP: Neural Hypergraph Link Prediction Naganand Yadati, Vikram Nitin, Madhav Nimishakavi, Prateek Yadav, Anand Louis, and Partha Talukdar 29th ACM International Conference on Information and Knowledge Management (CIKM2020)
Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings [code] Apoorv Saxena, Aditay Tripathi and Partha Talukdar 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA
Natural Language Inference with Faithful Natural Language Explanations [code] Sawan Kumar and Partha Talukdar 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA
A Re-evaluation of Knowledge Graph Completion Methods [code] Zhiqing Sun, Shikhar Vashishth, Soumya Sanyal*, Partha Talukdar and Yiming Yang 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), Seattle, USA
Syntax-guided Controlled Generation of Paraphrases [code] Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli, Partha Talukdar Transactions of ACL (TACL 2020), Seattle, USA
Composition-based Multi-Relational Graph Convolutional Networks Shikhar Vashishth, Soumya Sanyal, Vikram Nitin and Partha Talukdar Eighth International Conference on Learning Representations (ICLR 2020) , Addis Ababa, Ethiopia
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [code] Ekagra Ranjan, Soumya Sanyal and Partha Talukdar Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) , New York, USA
InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions [code] Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, Nilesh Agrawal and Partha Talukdar Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) , New York, USA
P-SIF: Document Embeddings using Partition Averaging Vivek Gupta, Ankit Saw, Pegah Nokhiz, Praneeth Netrapalli, Piyush Rai and Partha Talukdar Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020) , New York, USA
2019
HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs [code] Naganand Yadati, Madhav Nimishakavi, Prateek Yadav, Vikram Nitin, Anand Louis and Partha Talukdar Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019) , Vancouver, Canada
CaRe: Open Knowledge Graph Embeddings [code] Swapnil Gupta, Sreyash Kenkre and Partha Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) , Hong Kong, China
Improving Answer Selection and Answer Triggering using Hard Negatives Sawan Kumar, Shweta Garg, Kartik Mehta and Nikhil Rasiwasia Conference on Empirical Methods in Natural Language Processing (EMNLP 2019) , Hong Kong, China
Zero-shot Word Sense Disambiguation using Sense Definition Embeddings [code] Sawan Kumar, Sharmistha Jat, Karan Saxena and Partha Talukdar The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy Recipient of Outstanding Paper Award
Relating Simple Sentence Representations in Deep Neural Networks and Brain [code] Sharmistha Jat, Hao Tang, Partha Talukdar and Tom Mitchell The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy
Incorporating Syntactic and Semantic Information in Word Embeddings using Graph Convolutional Networks [code] Shikhar Vashishth, Manik Bhandari, Prateek Yadav, Piyush Rai, Chiranjib Bhattacharyya and Partha Talukdar The 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy
Submodular Optimization-based Diverse Paraphrasing and its Effectiveness in Data Augmentation Ashutosh Kumar, Satwik Bhattamishra, Manik Bhandari and Partha Talukdar 2019 Annual Conference of the North American Chapter of the Association for Computational Linguistics , Minneapolis, USA (*: Equal contributions)
Lovasz Convolutional Networks [code] Prateek Yadav, Madhav Nimishakavi, Naganand Yadati, Shikhar Vashishth, Arun Rajkumar and Partha Talukdar The 22nd International Conference on Artificial Intelligence and Statistics , Okinawa, Japan
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning [code] Shikhar Vashishth, Prateek Yadav, Manik Bhandari and Partha Talukdar The 22nd International Conference on Artificial Intelligence and Statistics , Okinawa, Japan
KVQA: Knowledge-aware Visual Question Answering [Project and Data Page] Sanket Shah, Anand Mishra, Naganand Yadati and Partha Talukdar Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA (*: Equal contributions)
ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs [Code] Sawan Kumar, Varsha Sreenivasan, Partha Talukdar, Franco Pestilli, Devarajan Sridharan Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii, USA (*: Equal contributions)
2018
A Riemannian approach to trace norm regularized low-rank tensor completion [Code] Madhav Nimishakavi, Pratik Kumar Jawanpuria and Bamdev Mishra Thirty-Second Conference on Neural Information Processing Systems (NIPS 2018), Montréal, Canada
HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding [Code] Shib Sankar Dasgupta, Swayambhu Nath Ray and Partha Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium
AD3: Attentive Deep Document Dater [Code] Swayambhu Nath Ray, Shib Sankar Dasgupta and Partha Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information [Code] Shikhar Vashishth, Rishabh Joshi, Sai Suman Prayaga, Chiranjib Bhattacharyya and Partha Talukdar Conference on Empirical Methods in Natural Language Processing (EMNLP 2018), Brussels, Belgium
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information [Code] Madhav Nimishakavi, Bamdev Mishra, Manish Gupta and Partha Talukdar 27th International Conference on Information and Knowledge Management (CIKM 2018), Italy
Dating Documents using Graph Convolution Networks [Code] Shikhar Vashishth, Shib Sankar Dasgupta, Swayambhu Nath Ray and Partha Talukdar 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia
Towards Understanding Geometry of Knowledge Graph Embeddings [Code] Chandrahas Dewangan, Aditya Sharma and Partha Talukdar 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia
Higher-order Relation Schema Induction using Tensor Factorization with Back-off and Aggregation [Code] Madhav Nimishakavi, Manish Gupta and Partha Talukdar 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), Melbourne, Australia
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information [Code] Shikhar Vashishth, Prince Jain and Partha Talukdar The Web Conference 2018 (WWW 2018), Lyon, France. [acceptance rate: 14.8%]
ELDEN: Improved Entity Linking using Densified Knowledge Graphs [Code] Priya Radhakrishnan, Partha Talukdar and Vasudeva Varma NAACL 2018, New Orleans, USA
Never-Ending Learning Tom M. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, B. Yang, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling Communications of the ACM, 61(5), pp. 103-115, May 2018.
2017
Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods Aditya Sharma, Zarana Parekh, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2017), Cohenhagen, Denmark. [Short Paper]
KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs Prakhar Ojha, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2017), Cohenhagen, Denmark.
Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs Srinivas Ravishankar, Chandrahas Dewangan and Partha Talukdar 6th Workshop on Automated Knowledge Base Construction (AKBC) 2017
Improving Distantly Supervised Relation Extraction using Word and Entity Based Attention Sharmistha Jat, Siddhesh Khandelwal and Partha Talukdar 6th Workshop on Automated Knowledge Base Construction (AKBC) 2017
BRAINZOOM: High Resolution Reconstruction from Multi-modal Brain Signals Xiao Fu, Kejun Huang, Otilia Stretcu, Hyun Ah Song, Evangelos Papalexakis, Partha Talukdar, Tom Mitchell, Nicholas Sidiropoulos, Christos Faloutsos, Barnabas Poczos SIAM International Conference on Data Mining (SDM 2017), Houston, USA
Facets: Adaptive Local Exploration of Large Graphs Robert Pienta, Minsuk (Brian) Kahng, Zhiyuan Lin, Jilles Vreeken, Partha Talukdar, James Abello, Ganesh Parameswaran, Duen Horng (Polo) Chau SIAM International Conference on Data Mining (SDM 2017), Houston, USA
2016
Quality Estimation of Workers in Collaborative Crowdsourcing Using Group Testing Prakhar Ojha, Partha Talukdar AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2016)
Relation Schema Induction using Tensor Factorization with Side Information [Code] Madhav Nimishakavi, Uday Singh Saini, Partha Talukdar International Conference on Empirical Methods in NLP (EMNLP 2016), Austin, USA
Discovering Response-Eliciting Factors in Social Question-Answering Danish, Yogesh Dahiya and Partha Talukdar 10th International AAAI Conference on Web and Social Media (ICWSM-16), Cologne, Germany.
ClaimEval: Integrated and Flexible Framework for Claim Evaluation Using Credibility of Sources Mehdi Samadi, Partha Talukdar, Manuela Veloso, Manuel Blum 30th AAAI Conference Conference on Artificial Intelligence (AAAI-16), Phoenix, USA
2015
An Entity-centric Approach for Overcoming Knowledge Graph Sparsity Manjunath Hegde, Partha Talukdar Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)
Knowledge Base Inference using Bridging Entities Bhushan Kotnis, Pradeep Bansal, Partha Talukdar Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)
Translation Invariant Word Embeddings Matt Gardner, Kejun Huang, Evangelos Papalexakis, Xiao Fu, Partha Talukdar, Christos Faloutsos, Nicholas Sidiropoulos, Tom Mitchell Empirical Methods in NLP (EMNLP 2015), Portugal (Short Paper)
AskWorld: Budget-Sensitive Query Evaluation for Knowledge-on-Demand Mehdi Samadi, Partha Talukdar, Manuela Veloso, Tom Mitchell International Joint Conference on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina.
Never-Ending Language Learning Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnmurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohammad, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves and Joel Welling Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin, USA.
Automatic Gloss Finding for a Knowledge Base using Ontological Constraints Bhavana Dalvi, Einat Minkov, Partha Talukdar and William Cohen International Conference on Web Search and Data Mining (WSDM 2015), Shanghai, China
A Compositional and Interpretable Semantic Space Alona Fyshe, Leila Wehbe, Partha P. Talukdar, Brian Murphy and Tom M. Mitchell Conference of the North American Chapter of the ACL (NAACL 2015), Denver, USA
Principled Neuro-Functional Connectivity Discovery K. Huang, N. Sidiropoulos, C. Faloutsos, E. Papalexakis, P. Talukdar, T. Mitchell SIAM International Conference on Data Mining (SDM 2015), Vancouver, Canada
Active Learning in Keyword Search-based Data Integration Zhepeng Yan, Nan Zheng, Zachary Ives, Partha Pratim Talukdar, Cong Yu The VLDB Journal Special Issue on Best Papers of VLDB 2013
Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text Matt Gardner, Partha Talukdar and Tom Mitchell AAAI Spring Symposium on Knowledge Representation and Reasoning, Stanford, USA
2014
Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses Leila Wehbe, Brian Murphy, Partha Talukdar, Alona Fyshe, Aaditya Ramdas, Tom Mitchell PLoS ONE 9(11): e112575. doi:10.1371/journal.pone.0112575 Press Coverage: CMU Press Release, Scientific American (blog), AP, TIME

Theses
Optimization of Connectome Pruning Algorithm using Hybrid CPU-GPU Methods. - Gumma Venkata Kailash Madhav [2017]

Publications

Books

Tutorials

2022

2021

2020

2019

2018

2017

2016

2015

2014

Theses