Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Paliwal, Bhawna"'
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
Realistic fake videos are a potential tool for spreading harmful misinformation given our increasing online presence and information intake. This paper presents a multimodal learning-based method for detection of real and fake videos. The method comb
Externí odkaz:
http://arxiv.org/abs/2207.08380
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