Zobrazeno 1 - 10
of 6 207
pro vyhledávání: '"Kulshreshtha, A."'
Automatic Speech Recognition (ASR) traditionally assumes known domains, but adding data from a new domain raises concerns about computational inefficiencies linked to retraining models on both existing and new domains. Fine-tuning solely on new domai
Externí odkaz:
http://arxiv.org/abs/2406.17935
Autor:
Waleffe, Roger, Byeon, Wonmin, Riach, Duncan, Norick, Brandon, Korthikanti, Vijay, Dao, Tri, Gu, Albert, Hatamizadeh, Ali, Singh, Sudhakar, Narayanan, Deepak, Kulshreshtha, Garvit, Singh, Vartika, Casper, Jared, Kautz, Jan, Shoeybi, Mohammad, Catanzaro, Bryan
Selective state-space models (SSMs) like Mamba overcome some of the shortcomings of Transformers, such as quadratic computational complexity with sequence length and large inference-time memory requirements from the key-value cache. Moreover, recent
Externí odkaz:
http://arxiv.org/abs/2406.07887
Autor:
Kulshreshtha, Dhruv
This paper presents an expository reverse-mathematical analysis of two fundamental theorems in commutative algebra: Hilbert's Nullstellensatz and Basis Theorem. In addition to its profound significance in commutative algebra and algebraic geometry, t
Externí odkaz:
http://arxiv.org/abs/2406.01336
We show that the homeomorphisms of the Sierpi\'nski carpet are not classifiable, up to conjugacy, using isomorphism types of countable structures as invariants.
Comment: 13 pages, 6 figures
Comment: 13 pages, 6 figures
Externí odkaz:
http://arxiv.org/abs/2404.01472
Autor:
Jayanthi, Sai Muralidhar, Kulshreshtha, Devang, Dingliwal, Saket, Ronanki, Srikanth, Bodapati, Sravan
Personalization of automatic speech recognition (ASR) models is a widely studied topic because of its many practical applications. Most recently, attention-based contextual biasing techniques are used to improve the recognition of rare words and doma
Externí odkaz:
http://arxiv.org/abs/2311.08402
Autor:
Elluru, Veera Raghavendra, Kulshreshtha, Devang, Paturi, Rohit, Bodapati, Sravan, Ronanki, Srikanth
Spoken language understanding systems using audio-only data are gaining popularity, yet their ability to handle unseen intents remains limited. In this study, we propose a generalized zero-shot audio-to-intent classification framework with only a few
Externí odkaz:
http://arxiv.org/abs/2311.02482
Autor:
Blass, Andreas, Kulshreshtha, Dhruv
We consider several notions of well-foundedness of cardinals in the absence of the Axiom of Choice. Some of these have been conflated by some authors, but we separate them carefully. We then consider implications among these, and also between these a
Externí odkaz:
http://arxiv.org/abs/2310.09643
Connectionist Temporal Classification (CTC) models are popular for their balance between speed and performance for Automatic Speech Recognition (ASR). However, these CTC models still struggle in other areas, such as personalization towards custom wor
Externí odkaz:
http://arxiv.org/abs/2307.00759
Autor:
Das, Nilaksh, Sunkara, Monica, Bodapati, Sravan, Cai, Jinglun, Kulshreshtha, Devang, Farris, Jeff, Kirchhoff, Katrin
End-to-end ASR models trained on large amount of data tend to be implicitly biased towards language semantics of the training data. Internal language model estimation (ILME) has been proposed to mitigate this bias for autoregressive models such as at
Externí odkaz:
http://arxiv.org/abs/2305.03837
Autor:
Khushboo Singh, Yogesh Murti, Anuj Kumar Sharma, Dharamveer, Akash Ved, Sachdev Yadav, Mayank Kulshreshtha
Publikováno v:
Toxicology Reports, Vol 13, Iss , Pp 101813- (2024)
The present study was undertaken to investigate the effect of Achras sapota (A. sapota) fruits in scopolamine induced amnesia & cognitive impairment in mice. A. sapota commonly known as Chiku belong to Sapotaceae family. Memory impairment was induced
Externí odkaz:
https://doaj.org/article/be441d45dd3f4fc2b88321d3cb24af95
