Exploring Bias in Primate Face Detection and Recognition. - Sanchit Sinha; Mohit Agarwal 007; Mayank Vatsa; Richa Singh 001; Saket Anand (ECCV Workshops (1), 2018)

Video Summarization using Global Attention with Memory Network and LSTM. - Dhruva Sahrawat; Mohit Agarwal 007; Sanchit Sinha; Aditya Adhikary; Mansi Agarwal; Rajiv Ratn Shah; Roger Zimmermann (BigMM, 2019)

Triplet Transform Learning for Automated Primate Face Recognition. - Mohit Agarwal 007; Sanchit Sinha; Maneet Singh; Shruti Nagpal; Richa Singh 001; Mayank Vatsa (ICIP, 2019)

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. - Sanchit Sinha; Hanjie Chen; Arshdeep Sekhon; Yangfeng Ji; Yanjun Qi (BlackboxNLP@EMNLP, 2021)

Realistic Commodity Flow Networks to Assess Vulnerability of Food Systems. - Abhijin Adiga; Nicholas Palmer; Sanchit Sinha; Penina Waghalter; Aniruddha Dave; Daniel Perez Lazarte; Thierry Brévault; Andrea Apolloni; Henning S. Mortveit; Young Yun Baek; Madhav V. Marathe (COMPLEX NETWORKS, 2021)

Understanding and Enhancing Robustness of Concept-Based Models. - Sanchit Sinha; Mengdi Huai; Jianhui Sun; Aidong Zhang (AAAI, 2023)

Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. - Anshu Bhatia; Sanchit Sinha; Saket Dingliwal; Karthik Gopalakrishnan 001; Sravan Bodapati; Katrin Kirchhoff (INTERSPEECH, 2023)

Enhance Diffusion to Improve Robust Generalization. - Jianhui Sun; Sanchit Sinha; Aidong Zhang (KDD, 2023)

A Self-explaining Neural Architecture for Generalizable Concept Learning. - Sanchit Sinha; Guangzhi Xiong; Aidong Zhang (IJCAI, 2024)

CoLiDR: Concept Learning using Aggregated Disentangled Representations. - Sanchit Sinha; Guangzhi Xiong; Aidong Zhang (KDD, 2024)

MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. - Sanchit Sinha; Yuguang Yue; Victor Soto; Mayank Kulkarni; Jianhua Lu; Aidong Zhang (KDD, 2024)

ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning. - Guangzhi Xiong; Sanchit Sinha; Aidong Zhang (CoRR, 2024)

Structural Causality-based Generalizable Concept Discovery Models. - Sanchit Sinha; Guangzhi Xiong; Aidong Zhang (CoRR, 2024)

Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs. - Sanchit Sinha; Guangzhi Xiong; Aidong Zhang (CoRR, 2025)

A Comprehensive Survey on the Risks and Limitations of Concept-based Models. - Sanchit Sinha; Aidong Zhang (CoRR, 2025)