| Perturbing inputs for fragile interpretations in deep natural language processing S Sinha, H Chen, A Sekhon, Y Ji, Y Qi EMNLP-BlackboxNLP, 2021, 2021 | 43 | 2021 |
| Understanding and enhancing robustness of concept-based models S Sinha, M Huai, J Sun, A Zhang Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 15127 …, 2023 | 23 | 2023 |
| Exploring bias in primate face detection and recognition S Sinha, M Agarwal, M Vatsa, R Singh, S Anand Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 8 | 2018 |
| Don’t stop self-supervision: Accent adaptation of speech representations via residual adapters A Bhatia*, S Sinha*, S Dingliwal, K Gopalakrishnan, S Bodapati, ... Interspeech 2023, 2023 | 7 | 2023 |
| Video summarization using global attention with memory network and LSTM S Sinha*, D Sahrawat*, M Agarwal*, A Adhikary*, M Agarwal, RR Shah, ... Multimedia Big Data (BigMM), 2019, 2019 | 7* | 2019 |
| Enhance Diffusion to Improve Robust Generalization J Sun, S Sinha, A Zhang KDD 2023, 2023 | 6 | 2023 |
| CoLiDR: Concept Learning using Aggregated Disentangled Representations S Sinha, G Xiong, A Zhang Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 2 | 2024 |
| Triplet Transform Learning for Automated Primate Face Recognition S Sinha*, M Agarwal*, M Singh, S Nagpal, R Singh, M Vatsa ICIP, 2019, 2019 | 2* | 2019 |
| MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning S Sinha, Y Yue, V Soto, M Kulkarni, J Lu, A Zhang KDD 2024, 2024 | 1 | 2024 |
| Realistic commodity flow networks to assess vulnerability of food systems A Adiga, N Palmer, S Sinha, P Waghalter, A Dave, DP Lazarte, T Brévault, ... Complex Networks 2021, 168-179, 2022 | 1 | 2022 |
| ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers S Sinha, G Xiong, A Zhang arXiv preprint arXiv:2501.09221, 2025 | | 2025 |
| Structural Causality-based Generalizable Concept Discovery Models S Sinha, G Xiong, A Zhang arXiv preprint arXiv:2410.15491, 2024 | | 2024 |
| ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning G Xiong, S Sinha, A Zhang arXiv preprint arXiv:2410.04723, 2024 | | 2024 |
| A Self-explaining Neural Architecture for Generalizable Concept Learning S Sinha, G Xiong, A Zhang IJCAI 2024, 2024 | | 2024 |
| Using Graph Convolutional Neural Networks for NLP tasks S Sinha, M Sudhakar | | 2020 |
| MixNAM: Advancing Neural Additive Models with Mixture of Experts G Xiong, S Sinha, A Zhang | | |
| Reel the Real: Navigable Synchronous Virtual Gatherings on the Web A Peddireddy, A Ranga, A Pande, G Jindal, R Bamrara, S Sinha | | |
Aidong Zhang, Fellow of ACM, IEEE, a...Thomas M. Linville Professor of Computer Science, University of VirginiaVerified email at virginia.edu
