Saurav Manchanda

According to our database, Saurav Manchanda authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MetaLLM: A High-performant and Cost-efficient Dynamic Framework for Wrapping LLMs.

Quang H. Nguyen, Duy C. Hoang, Juliette Decugis, Saurav Manchanda, Nitesh V. Chawla, Khoa D. Doan

CoRR, 2024

Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification.

Zeren Shui, Petros Karypis, Daniel S. Karls, Mingjian Wen, Saurav Manchanda, Ellad B. Tadmor, George Karypis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Aligning Vision Language Models with Contrastive Learning.

Kenan E. Ak, Jay Mohta, Dimitris Dimitriadis, Saurav Manchanda, Yan Xu, Mingwei Shen

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Fooling the Textual Fooler via Randomizing Latent Representations.

Duy C. Hoang, Nguyen Hung-Quang, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Fooling the Textual Fooler via Randomizing Latent Representations.

Duy C. Hoang, Quang H. Nguyen, Saurav Manchanda, Minlong Peng, Kok-Seng Wong, Khoa D. Doan

CoRR, 2023

Metapath-Guided Data-Augmentation For Knowledge Graphs.

Saurav Manchanda

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Modeling Sequential Collaborative User Behaviors For Seller-Aware Next Basket Recommendation.

Ziyi Kou, Saurav Manchanda, Shih-Ting Lin, Min Xie, Haixun Wang, Xiangliang Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Walk-and-Relate: A Random-Walk-based Algorithm for Representation Learning on Sparse Knowledge Graphs.

Saurav Manchanda

CoRR, 2022

An Embedding-Based Grocery Search Model at Instacart.

Yuqing Xie, Taesik Na, Xiao Xiao, Saurav Manchanda, Young Rao, Zhihong Xu, Guanghua Shu, Esther Vasiete, Tejaswi Tenneti, Haixun Wang

CoRR, 2022

2021

Interpretable Graph Similarity Computation via Differentiable Optimal Alignment of Node Embeddings.

Khoa D. Doan, Saurav Manchanda, Suchismit Mahapatra, Chandan K. Reddy

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Evaluating Scholarly Impact: Towards Content-Aware Bibliometrics.

Saurav Manchanda, George Karypis

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Schema-Aware Deep Graph Convolutional Networks for Heterogeneous Graphs.

Saurav Manchanda, Da Zheng, George Karypis

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Distant-Supervised Slot-Filling for E-Commerce Queries.

Saurav Manchanda, Mohit Sharma, George Karypis

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Importance Assessment in Scholarly Networks.

Saurav Manchanda, George Karypis

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020

Image Generation Via Minimizing Fréchet Distance in Discriminator Feature Space.

Khoa D. Doan, Saurav Manchanda, Fengjiao Wang, S. Sathiya Keerthi, Avradeep Bhowmik, Chandan K. Reddy

CoRR, 2020

Regression via Implicit Models and Optimal Transport Cost Minimization.

Saurav Manchanda, Khoa D. Doan, Pranjul Yadav, S. Sathiya Keerthi

CoRR, 2020

Image Hashing by Minimizing Independent Relaxed Wasserstein Distance.

Khoa D. Doan, Amir Kimiyaie, Saurav Manchanda, Chandan K. Reddy

CoRR, 2020

CAWA: An Attention-Network for Credit Attribution.

Saurav Manchanda, George Karypis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Intent term selection and refinement in e-commerce queries.

Saurav Manchanda, Mohit Sharma, George Karypis

CoRR, 2019

Intent Term Weighting in E-commerce Queries.

Saurav Manchanda, Mohit Sharma, George Karypis

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Targeted display advertising: the case of preferential attachment.

Saurav Manchanda, Pranjul Yadav, Khoa D. Doan, S. Sathiya Keerthi

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Distributed Representation of Multi-sense Words: A Loss Driven Approach.

Saurav Manchanda, George Karypis

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Text Segmentation on Multilabel Documents: A Distant-Supervised Approach.

Saurav Manchanda, George Karypis

Proceedings of the IEEE International Conference on Data Mining, 2018