Semantic description of a video using representative frames. - Ishan Jindal; Shanmuganathan Raman (NCVPRIPG, 2015)

SA-CNN: Dynamic Scene Classification using Convolutional Neural Networks. - Aalok Gangopadhyay; Shivam Mani Tripathi; Ishan Jindal; Shanmuganathan Raman (CoRR, 2015)

Effective Object Tracking in Unstructured Crowd Scenes. - Ishan Jindal; Shanmuganathan Raman (CoRR, 2015)

Dynamic scene classification using convolutional neural networks. - Aalok Gangopadhyay; Shivam Mani Tripathi; Ishan Jindal; Shanmuganathan Raman (GlobalSIP, 2016)

Learning Deep Networks from Noisy Labels with Dropout Regularization. - Ishan Jindal; Matthew S. Nokleby; Xue-wen Chen 001 (ICDM, 2016)

Fast and compact Kronecker-structured dictionary learning for classification and representation. - Ishan Jindal; Matthew S. Nokleby (ACSSC, 2017)

Performance limits on the classification of Kronecker-structured models. - Ishan Jindal; Matthew S. Nokleby (ISIT, 2017)

A Unified Neural Network Approach for Estimating Travel Time and Distance for a Taxi Trip. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (CoRR, 2017)

Optimizing Taxi Carpool Policies via Reinforcement Learning and Spatio-Temporal Mining. - Ishan Jindal; Zhiwei (Tony) Qin; Xue-wen Chen 001; Matthew S. Nokleby; Jieping Ye (IEEE BigData, 2018)

Classification and Representation via Separable Subspaces: Performance Limits and Algorithms. - Ishan Jindal; Matthew S. Nokleby (IEEE J. Sel. Top. Signal Process., 2018)

A Nonlinear, Noise-aware, Quasi-clustering Approach to Learning Deep CNNs from Noisy Labels. - Ishan Jindal; Matthew S. Nokleby; Daniel Pressel (CVPR Workshops, 2019)

Tensor Matched Kronecker-structured Subspace Detection for Missing Information. - Ishan Jindal; Matthew S. Nokleby (ICASSP, 2019)

An Effective Label Noise Model for DNN Text Classification. - Ishan Jindal; Daniel Pressel; Brian Lester; Matthew S. Nokleby (NAACL-HLT (1), 2019)

CLAR: A Cross-Lingual Argument Regularizer for Semantic Role Labeling. - Ishan Jindal; Yunyao Li 001; Siddhartha Brahma; Huaiyu Zhu 001 (EMNLP (Findings), 2020)

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation. - Ishan Jindal; Ranit Aharonov; Siddhartha Brahma; Huaiyu Zhu 001; Yunyao Li 001 (CoRR, 2020)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - 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; et al. (CoRR, 2021)

OPAD: An Optimized Policy-based Active Learning Framework for Document Content Analysis. - Sumit Shekhar; Bhanu Prakash Reddy Guda; Ashutosh Chaubey; Ishan Jindal; Avneet Jain (CVPR Workshops, 2022)

Universal Proposition Bank 2.0. - Ishan Jindal; Alexandre Rademaker; Michal Ulewicz; Ha Linh; Huyen Nguyen; Khoi-Nguyen Tran; Huaiyu Zhu 001; Yunyao Li 001 (LREC, 2022)

Label Definitions Improve Semantic Role Labeling. - Li Zhang 039; Ishan Jindal; Yunyao Li 001 (NAACL-HLT, 2022)

When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. - Kevin Pei; Ishan Jindal; Kevin Chen-Chuan Chang; ChengXiang Zhai; Yunyao Li 001 (ACL (1), 2023)

PriMeSRL-Eval: A Practical Quality Metric for Semantic Role Labeling Systems Evaluation. - Ishan Jindal; Alexandre Rademaker; Khoi-Nguyen Tran; Huaiyu Zhu 001; Hiroshi Kanayama; Marina Danilevsky; Yunyao Li 001 (EACL (Findings), 2023)

Abstractive Open Information Extraction. - Kevin Pei; Ishan Jindal; Kevin Chen-Chuan Chang (EMNLP, 2023)

Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; Yunyao Li 001; James A. Hendler; Dakuo Wang (EMNLP (Findings), 2023)

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture. - Bingsheng Yao; Ishan Jindal; Lucian Popa 001; Yannis Katsis; Sayan Ghosh; Lihong He 001; Yuxuan Lu 003; Shashank Srivastava; James A. Hendler; Dakuo Wang (CoRR, 2023)

Balancing Continuous Pre-Training and Instruction Fine-Tuning: Optimizing Instruction-Following in LLMs. - Ishan Jindal; Chandana Badrinath; Pranjal Bharti; Lakkidi Vinay; Sachin Dev Sharma (CoRR, 2024)