Search Results for author: Amit Singh

Found 11 papers, 3 papers with code

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

1 code implementation The Web Conference 2021 Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang and Manik Varma

An efficient end-to-end implementation of GalaXC is presented that could be trained on a dataset with 50M labels and 97M training documents in less than 100 hours on 4×V100 GPUs.

Classification Product Recommendation

GraphFormers: GNN-nested Transformers for Representation Learning on Textual Graph

1 code implementation NeurIPS 2021 Junhan Yang, Zheng Liu, Shitao Xiao, Chaozhuo Li, Defu Lian, Sanjay Agrawal, Amit Singh, Guangzhong Sun, Xing Xie

The representation learning on textual graph is to generate low-dimensional embeddings for the nodes based on the individual textual features and the neighbourhood information.

Language Modelling Recommendation Systems +1

Diversity driven Query Rewriting in Search Advertising

no code implementations7 Jun 2021 Akash Kumar Mohankumar, Nikit Begwani, Amit Singh

For head and torso search queries, sponsored search engines use a huge repository of same intent queries and keywords, mined ahead of time.

Retrieval

Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search

no code implementations13 Sep 2022 Akash Kumar Mohankumar, Bhargav Dodla, Gururaj K, Amit Singh

To leverage the strengths of both methods, we propose CLOVER-Unity, a novel approach that unifies generative and dense retrieval methods in one single model.

Retrieval Text Generation +2

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