Zobrazeno 1 - 10
of 926
pro vyhledávání: '"A. Harsha Vardhan"'
Autor:
Khurdula, Harsha Vardhan, Rizk, Basem, Khaitan, Indus, Anjaria, Janit, Srivastava, Aviral, Khaitan, Rajvardhan
Current benchmarks for evaluating Vision Language Models (VLMs) often fall short in thoroughly assessing model abilities to understand and process complex visual and textual content. They typically focus on simple tasks that do not require deep reaso
Externí odkaz:
http://arxiv.org/abs/2411.15201
Neural networks trained with stochastic gradient descent exhibit an inductive bias towards simpler decision boundaries, typically converging to a narrow family of functions, and often fail to capture more complex features. This phenomenon raises conc
Externí odkaz:
http://arxiv.org/abs/2411.04569
Autor:
Simhadri, Harsha Vardhan, Aumüller, Martin, Ingber, Amir, Douze, Matthijs, Williams, George, Manohar, Magdalen Dobson, Baranchuk, Dmitry, Liberty, Edo, Liu, Frank, Landrum, Ben, Karjikar, Mazin, Dhulipala, Laxman, Chen, Meng, Chen, Yue, Ma, Rui, Zhang, Kai, Cai, Yuzheng, Shi, Jiayang, Chen, Yizhuo, Zheng, Weiguo, Wan, Zihao, Yin, Jie, Huang, Ben
The 2023 Big ANN Challenge, held at NeurIPS 2023, focused on advancing the state-of-the-art in indexing data structures and search algorithms for practical variants of Approximate Nearest Neighbor (ANN) search that reflect the growing complexity and
Externí odkaz:
http://arxiv.org/abs/2409.17424
Autor:
Chen, Qi, Geng, Xiubo, Rosset, Corby, Buractaon, Carolyn, Lu, Jingwen, Shen, Tao, Zhou, Kun, Xiong, Chenyan, Gong, Yeyun, Bennett, Paul, Craswell, Nick, Xie, Xing, Yang, Fan, Tower, Bryan, Rao, Nikhil, Dong, Anlei, Jiang, Wenqi, Liu, Zheng, Li, Mingqin, Liu, Chuanjie, Li, Zengzhong, Majumder, Rangan, Neville, Jennifer, Oakley, Andy, Risvik, Knut Magne, Simhadri, Harsha Vardhan, Varma, Manik, Wang, Yujing, Yang, Linjun, Yang, Mao, Zhang, Ce
Recent breakthroughs in large models have highlighted the critical significance of data scale, labels and modals. In this paper, we introduce MS MARCO Web Search, the first large-scale information-rich web dataset, featuring millions of real clicked
Externí odkaz:
http://arxiv.org/abs/2405.07526
Approximate Nearest Neighbour Search (ANNS) is a subroutine in algorithms routinely employed in information retrieval, pattern recognition, data mining, image processing, and beyond. Recent works have established that graph-based ANNS algorithms are
Externí odkaz:
http://arxiv.org/abs/2401.11324
With the recent success of representation learning methods, which includes deep learning as a special case, there has been considerable interest in developing techniques that incorporate known physical constraints into the learned representation. As
Externí odkaz:
http://arxiv.org/abs/2312.13584
Autor:
Bonti Das, Gadi Sri Harsha Vardhan, Basanta Kumar Borah, Robin Chandra Boro, Bidyut Kumar Sarmah, Aiswarya Baruah, Mukul Kumar Deka, Priyanka Das
Publikováno v:
Journal of Pure and Applied Microbiology, Vol 18, Iss 4, Pp 2875-2884 (2024)
Greater wax moth (GWM), Galleria mellonella (Lepidoptera: Pyralidae), is a destructive pest of honeybee hives. They lay eggs in the bee hives; and the hatched larvae feed on beeswax. The unique ability of GWM to digest the beeswax that contains ethen
Externí odkaz:
https://doaj.org/article/38520fc2413e489da5b6910557281043
Autor:
Manohar, Magdalen Dobson, Shen, Zheqi, Blelloch, Guy E., Dhulipala, Laxman, Gu, Yan, Simhadri, Harsha Vardhan, Sun, Yihan
Approximate nearest-neighbor search (ANNS) algorithms are a key part of the modern deep learning stack due to enabling efficient similarity search over high-dimensional vector space representations (i.e., embeddings) of data. Among various ANNS algor
Externí odkaz:
http://arxiv.org/abs/2305.04359
We analyze the generalization ability of joint-training meta learning algorithms via the Gibbs algorithm. Our exact characterization of the expected meta generalization error for the meta Gibbs algorithm is based on symmetrized KL information, which
Externí odkaz:
http://arxiv.org/abs/2304.14332
Autor:
Das, Bonti1, Harsha Vardhan, Gadi Sri1, Borah, Basanta Kumar1 basanta.borah@aau.ac.in, Boro, Robin Chandra1, Sarmah, Bidyut Kumar1,2, Baruah, Aiswarya1, Deka, Mukul Kumar3, Das, Priyanka4
Publikováno v:
Journal of Pure & Applied Microbiology. Dec2024, Vol. 18 Issue 4, p2875-2884. 10p.