Zobrazeno 1 - 10
of 486
pro vyhledávání: '"Saini, Deepak"'
Autor:
Paliwal, Bhawna, Saini, Deepak, Dhawan, Mudit, Asokan, Siddarth, Natarajan, Nagarajan, Aggarwal, Surbhi, Malhotra, Pankaj, Jiao, Jian, Varma, Manik
Ranking a set of items based on their relevance to a given query is a core problem in search and recommendation. Transformer-based ranking models are the state-of-the-art approaches for such tasks, but they score each query-item independently, ignori
Externí odkaz:
http://arxiv.org/abs/2409.09795
Autor:
Prakash, Jatin, Buvanesh, Anirudh, Santra, Bishal, Saini, Deepak, Yadav, Sachin, Jiao, Jian, Prabhu, Yashoteja, Sharma, Amit, Varma, Manik
Extreme Classification (XC) aims to map a query to the most relevant documents from a very large document set. XC algorithms used in real-world applications learn this mapping from datasets curated from implicit feedback, such as user clicks. However
Externí odkaz:
http://arxiv.org/abs/2408.09585
Autor:
Mittal, Anshul, Mohan, Shikhar, Saini, Deepak, Prabhu, Suchith C., jiao, Jain, Agarwal, Sumeet, Chakrabarti, Soumen, Kar, Purushottam, Varma, Manik
Deep extreme classification (XC) aims to train an encoder architecture and an accompanying classifier architecture to tag a data point with the most relevant subset of labels from a very large universe of labels. XC applications in ranking, recommend
Externí odkaz:
http://arxiv.org/abs/2402.18434
Autor:
Dahiya, Kunal, Gupta, Nilesh, Saini, Deepak, Soni, Akshay, Wang, Yajun, Dave, Kushal, Jiao, Jian, K, Gururaj, Dey, Prasenjit, Singh, Amit, Hada, Deepesh, Jain, Vidit, Paliwal, Bhawna, Mittal, Anshul, Mehta, Sonu, Ramjee, Ramachandran, Agarwal, Sumeet, Kar, Purushottam, Varma, Manik
Extreme Classification (XC) seeks to tag data points with the most relevant subset of labels from an extremely large label set. Performing deep XC with dense, learnt representations for data points and labels has attracted much attention due to its s
Externí odkaz:
http://arxiv.org/abs/2207.04452
Autor:
Gupta, Ashna, Dagar, Gunjan, Rehmani, Mohd Umar, Prasad, Chandra Prakash, Saini, Deepak, Singh, Mayank, Shankar, Abhishek
Publikováno v:
In Asia-Pacific Journal of Oncology Nursing October 2024 11(10)
Autor:
Saini, Deepak, Sandberg, Richard D.
The focus of this study is to understand the evolution of instability in centrifugal buoyancy-induced flow in a rotating system. The problem is of interest in atmospheric flows as well as in engineering applications. In this study, we perform direct
Externí odkaz:
http://arxiv.org/abs/2111.07040
Autor:
Dahiya, Kunal, Saini, Deepak, Mittal, Anshul, Shaw, Ankush, Dave, Kushal, Soni, Akshay, Jain, Himanshu, Agarwal, Sumeet, Varma, Manik
Publikováno v:
Web Search and Data Mining 2021
Scalability and accuracy are well recognized challenges in deep extreme multi-label learning where the objective is to train architectures for automatically annotating a data point with the most relevant subset of labels from an extremely large label
Externí odkaz:
http://arxiv.org/abs/2111.06685
Autor:
Mittal, Anshul, Dahiya, Kunal, Agrawal, Sheshansh, Saini, Deepak, Agarwal, Sumeet, Kar, Purushottam, Varma, Manik
Publikováno v:
Web Search and Data Mining 2021
Extreme multi-label classification (XML) involves tagging a data point with its most relevant subset of labels from an extremely large label set, with several applications such as product-to-product recommendation with millions of products. Although
Externí odkaz:
http://arxiv.org/abs/2108.00368
Publikováno v:
In International Journal of Hydrogen Energy 20 May 2024 67:1-15