Sanchit Sinha

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Constructive Induction

Speaker Adaptation

Language Processing

Top Venues

ECCV Workshops (1)

Publications

Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. KDD (2024)
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
CoLiDR: Concept Learning using Aggregated Disentangled Representations. CoRR (2024)
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
CoLiDR: Concept Learning using Aggregated Disentangled Representations. KDD (2024)
Sanchit Sinha, Guangzhi Xiong, Aidong Zhang
A Self-explaining Neural Architecture for Generalizable Concept Learning. CoRR (2024)
Sanchit Sinha, Yuguang Yue, Victor Soto, Mayank Kulkarni, Jianhua Lu, Aidong Zhang
MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning. CoRR (2024)
Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
Understanding and Enhancing Robustness of Concept-Based Models. AAAI (2023)
Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. CoRR (2023)
Jianhui Sun, Sanchit Sinha, Aidong Zhang
Enhance Diffusion to Improve Robust Generalization. CoRR (2023)
Anshu Bhatia, Sanchit Sinha, Saket Dingliwal, Karthik Gopalakrishnan, Sravan Bodapati, Katrin Kirchhoff
Don't Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters. INTERSPEECH (2023)
Jianhui Sun, Sanchit Sinha, Aidong Zhang
Enhance Diffusion to Improve Robust Generalization. KDD (2023)
Sanchit Sinha, Mengdi Huai, Jianhui Sun, Aidong Zhang
Understanding and Enhancing Robustness of Concept-based Models. CoRR (2022)
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. CoRR (2021)
Sanchit Sinha, Hanjie Chen, Arshdeep Sekhon, Yangfeng Ji, Yanjun Qi
Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. BlackboxNLP@EMNLP (2021)
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
Realistic Commodity Flow Networks to Assess Vulnerability of Food Systems. COMPLEX NETWORKS (2021)
Mohit Agarwal, Sanchit Sinha, Maneet Singh, Shruti Nagpal, Richa Singh, Mayank Vatsa
Triplet Transform Learning for Automated Primate Face Recognition. ICIP (2019)
Dhruva Sahrawat, Mohit Agarwal, Sanchit Sinha, Aditya Adhikary, Mansi Agarwal, Rajiv Ratn Shah, Roger Zimmermann
Video Summarization using Global Attention with Memory Network and LSTM. BigMM (2019)
Sanchit Sinha, Mohit Agarwal, Mayank Vatsa, Richa Singh, Saket Anand
Exploring Bias in Primate Face Detection and Recognition. ECCV Workshops (1) (2018)