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Arpit Mittal
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2020 – today
- 2023
- [i12]Arpit Mittal, Harshil Jhaveri, Swapnil Mallick, Abhishek Ajmera:
CHIP: Contrastive Hierarchical Image Pretraining. CoRR abs/2310.08304 (2023) - 2022
- [c20]Shou-En Liu, Jian Li, Deepak Nayak, Amit Marathe, Kaushik Balamukundhan, Vishal Gosavi, Ajaykumar Prajapati, Baha Kilic, Mengzhi Pang, Arpit Mittal:
Reliability Qualification Challenges of SOCs in Advanced CMOS Process Nodes (Invited). IRPS 2022: 8 - 2021
- [c19]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. NeurIPS Datasets and Benchmarks 2021 - [i11]Rami Aly, Zhijiang Guo, Michael Sejr Schlichtkrull, James Thorne, Andreas Vlachos
, Christos Christodoulopoulos, Oana Cocarascu, Arpit Mittal:
FEVEROUS: Fact Extraction and VERification Over Unstructured and Structured information. CoRR abs/2106.05707 (2021) - [i10]Arpit Mittal, Jeel Tejaskumar Vaishnav, Aishwarya Kaliki, Nathan Johns, Wyatt Pease:
Emotion-Cause Pair Extraction in Customer Reviews. CoRR abs/2112.03984 (2021) - 2020
- [c18]Joseph Fisher, Arpit Mittal, Dave Palfrey, Christos Christodoulopoulos:
Debiasing knowledge graph embeddings. EMNLP (1) 2020: 7332-7345
2010 – 2019
- 2019
- [c17]Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal:
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. W-NUT@EMNLP 2019: 68-75 - [c16]James Thorne, Andreas Vlachos
Evaluating adversarial attacks against multiple fact verification systems. EMNLP/IJCNLP (1) 2019: 2944-2953 - [c15]Esma Balkir, Masha Naslidnyk
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets. EMNLP/IJCNLP (1) 2019: 3589-3594 - [c14]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Learning When Not to Answer: a Ternary Reward Structure for Reinforcement Learning Based Question Answering. NAACL-HLT (2) 2019: 122-129 - [c13]James Thorne, Andreas Vlachos
Generating Token-Level Explanations for Natural Language Inference. NAACL-HLT (1) 2019: 963-969 - [i9]Fréderic Godin, Anjishnu Kumar, Arpit Mittal:
Using Ternary Rewards to Reason over Knowledge Graphs with Deep Reinforcement Learning. CoRR abs/1902.10236 (2019) - [i8]James Thorne, Andreas Vlachos
Generating Token-Level Explanations for Natural Language Inference. CoRR abs/1904.10717 (2019) - [i7]Daniele Bonadiman, Anjishnu Kumar, Arpit Mittal:
Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning. CoRR abs/1905.12786 (2019) - [i6]Esma Balkir, Masha Naslidnyk, Dave Palfrey, Arpit Mittal:
Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets. CoRR abs/1910.11583 (2019) - 2018
- [c12]James Thorne, Andreas Vlachos
The Fact Extraction and VERification (FEVER) Shared Task. FEVER@EMNLP 2018: 1-9 - [c11]Christos Christodoulopoulos, Arpit Mittal:
Simple Large-scale Relation Extraction from Unstructured Text. LREC 2018 - [c10]Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal:
Demand-Weighted Completeness Prediction for a Knowledge Base. NAACL-HLT (3) 2018: 200-207 - [c9]James Thorne, Andreas Vlachos
FEVER: a Large-scale Dataset for Fact Extraction and VERification. NAACL-HLT 2018: 809-819 - [e1]James Thorne, Andreas Vlachos, Oana Cocarascu, Christos Christodoulopoulos, Arpit Mittal:
Proceedings of the First Workshop on Fact Extraction and VERification, FEVER@EMNLP 2018, Brussels, Belgium, November 1, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-73-5 [contents] - [i5]James Thorne, Andreas Vlachos
FEVER: a large-scale dataset for Fact Extraction and VERification. CoRR abs/1803.05355 (2018) - [i4]Christos Christodoulopoulos, Arpit Mittal:
Simple Large-scale Relation Extraction from Unstructured Text. CoRR abs/1803.09091 (2018) - [i3]Andrew Hopkinson, Amit Gurdasani, Dave Palfrey, Arpit Mittal:
Demand-Weighted Completeness Prediction for a Knowledge Base. CoRR abs/1804.11109 (2018) - [i2]James Thorne, Andreas Vlachos
The Fact Extraction and VERification (FEVER) Shared Task. CoRR abs/1811.10971 (2018) - 2017
- [c8]Nikolaos Aletras
Labeling Topics with Images Using a Neural Network. ECIR 2017: 500-505 - 2016
- [i1]Nikolaos Aletras, Arpit Mittal:
Labeling Topics with Images using Neural Networks. CoRR abs/1608.00470 (2016) - 2014
- [c7]Mehdi Saedi, Kambiz Samadi, Arpit Mittal, Rajat Mittal:
Thermal implications of mobile 3D-ICs. 3DIC 2014: 1-7 - [c6]Matthew B. Blaschko
An O(n \log n) Cutting Plane Algorithm for Structured Output Ranking. GCPR 2014: 132-143 - 2013
- [c5]Carl Darukhanavala, Andrew Lycas, Arpit Mittal, Ashwinram Suresh:
Design of a bimodal self-burying robot. ICRA 2013: 5600-5605 - 2012
- [b1]Arpit Mittal:
Human layout estimation using structured output learning. University of Oxford, UK, 2012 - [c4]Arpit Mittal, Matthew B. Blaschko
Taxonomic Multi-class Prediction and Person Layout Using Efficient Structured Ranking. ECCV (2) 2012: 245-258 - 2011
- [j2]Arpit Mittal, Sandip Mazumder:
Hybrid discrete ordinates - spherical harmonics solution to the Boltzmann Transport Equation for phonons for non-equilibrium heat conduction. J. Comput. Phys. 230(18): 6977-7001 (2011) - [c3]Arpit Mittal, Andrew Zisserman, Philip H. S. Torr:
Hand detection using multiple proposals. BMVC 2011: 1-11
2000 – 2009
- 2009
- [j1]Arpit Mittal, Arijit Sengupta:
Improvised layout of keypad entry system for mobile phones. Comput. Stand. Interfaces 31(4): 693-698 (2009) - 2007
- [c2]Arpit Mittal, Arijit Sengupta:
Optimized Layout for Keypad Entry System. ESA 2007: 127-133 - [c1]Arijit Sengupta, Arpit Mittal:
Managing Distributed Ontologies using Chord protocol. Enterprise Information Systems and Web Technologies 2007: 218-220
Coauthor Index
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