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ORCIDIshan Jindal
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2020 – today
- 2024
[i16]Ishan Jindal, Chandana Badrinath, Pranjal Bharti, Lakkidi Vinay, Sachin Dev Sharma:
Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs. CoRR abs/2410.10739 (2024)- 2023
- [c17]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. ACL (1) 2023: 929-949 - [c16]Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li:
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. EACL (Findings) 2023: 1761-1773 - [c15]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang:
Abstractive Open Information Extraction. EMNLP 2023: 6146-6158 - [c14]Bingsheng Yao
, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, Yunyao Li, James A. Hendler, Dakuo Wang:
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. EMNLP (Findings) 2023: 11629-11643 - [i15]Bingsheng Yao, Ishan Jindal, Lucian Popa, Yannis Katsis, Sayan Ghosh, Lihong He, Yuxuan Lu, Shashank Srivastava, James A. Hendler, Dakuo Wang:
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. CoRR abs/2305.12710 (2023) - 2022
- [c13]Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain:
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis. CVPR Workshops 2022: 2825-2835 - [c12]Ishan Jindal, Alexandre Rademaker, Michal Ulewicz, Ha Linh, Huyen Nguyen, Khoi-Nguyen Tran, Huaiyu Zhu, Yunyao Li:
Universal Proposition Bank 2.0. LREC 2022: 1700-1711 - [c11]Li Zhang, Ishan Jindal, Yunyao Li:
Label Definitions Improve Semantic Role Labeling. NAACL-HLT 2022: 5613-5620 - [i14]Ishan Jindal, Alexandre Rademaker, Khoi-Nguyen Tran, Huaiyu Zhu, Hiroshi Kanayama, Marina Danilevsky, Yunyao Li:
PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. CoRR abs/2210.06408 (2022) - [i13]Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, Chengxiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. CoRR abs/2211.08228 (2022) - 2021
- [i12]Sumit Shekhar, Bhanu Prakash Reddy Guda, Ashutosh Chaubey, Ishan Jindal, Avneet Jain:
OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis. CoRR abs/2110.02069 (2021) - [i11]Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto, Aman Srivastava, K. V. Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang:
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [c10]Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu:
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling. EMNLP (Findings) 2020: 3113-3125 - [i10]Ishan Jindal, Yunyao Li, Siddhartha Brahma, Huaiyu Zhu:
CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling. CoRR abs/2011.04732 (2020) - [i9]Ishan Jindal, Ranit Aharonov, Siddhartha Brahma, Huaiyu Zhu, Yunyao Li:
Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation. CoRR abs/2011.14459 (2020)
2010 – 2019
- 2019
- [c9]Ishan Jindal, Matthew S. Nokleby, Daniel Pressel:
A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. CVPR Workshops 2019: 64-72 - [c8]Ishan Jindal, Matthew S. Nokleby:
Tensor Matched Kronecker-structured Subspace Detection for Missing Information. ICASSP 2019: 3452-3456 - [c7]Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby:
An Effective Label Noise Model for DNN Text Classification. NAACL-HLT (1) 2019: 3246-3256 - [i8]Ishan Jindal, Daniel Pressel, Brian Lester, Matthew S. Nokleby:
An Effective Label Noise Model for DNN Text Classification. CoRR abs/1903.07507 (2019) - 2018
- [j1]Ishan Jindal, Matthew S. Nokleby:
Classification and Representation via Separable Subspaces: Performance Limits and Algorithms. IEEE J. Sel. Top. Signal Process. 12(5): 1015-1030 (2018) - [c6]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. IEEE BigData 2018: 1417-1426 - [i7]Ishan Jindal, Matthew S. Nokleby:
Tensor Matched Kronecker-Structured Subspace Detection for Missing Information. CoRR abs/1810.10957 (2018) - [i6]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. CoRR abs/1811.04345 (2018) - 2017
- [c5]Ishan Jindal, Matthew S. Nokleby:
Fast and compact Kronecker-structured dictionary learning for classification and representation. ACSSC 2017: 200-204 - [c4]Ishan Jindal, Matthew S. Nokleby:
Performance limits on the classification of Kronecker-structured models. ISIT 2017: 1998-2002 - [i5]Ishan Jindal, Matthew S. Nokleby:
Performance Limits on the Classification of Kronecker-structured Models. CoRR abs/1705.02556 (2017) - [i4]Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. CoRR abs/1705.03419 (2017) - [i3]Ishan Jindal, Zhiwei (Tony) Qin, Xue-wen Chen, Matthew S. Nokleby, Jieping Ye:
A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. CoRR abs/1710.04350 (2017) - 2016
- [c3]Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman:
Dynamic scene classification using convolutional neural networks. GlobalSIP 2016: 1255-1259 - [c2]Ishan Jindal, Matthew S. Nokleby, Xue-wen Chen:
Learning Deep Networks from Noisy Labels with Dropout Regularization. ICDM 2016: 967-972 - 2015
- [c1]Ishan Jindal, Shanmuganathan Raman:
Semantic description of a video using representative frames. NCVPRIPG 2015: 1-4 - [i2]Aalok Gangopadhyay, Shivam Mani Tripathi, Ishan Jindal, Shanmuganathan Raman:
SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks. CoRR abs/1502.05243 (2015) - [i1]Ishan Jindal, Shanmuganathan Raman:
Effective Object Tracking in Unstructured Crowd Scenes. CoRR abs/1510.00479 (2015)
Coauthor Index
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