Zobrazeno 1 - 10
of 407
pro vyhledávání: '"Thakur, Abhishek"'
Autor:
von Werra, Leandro, Tunstall, Lewis, Thakur, Abhishek, Luccioni, Alexandra Sasha, Thrush, Tristan, Piktus, Aleksandra, Marty, Felix, Rajani, Nazneen, Mustar, Victor, Ngo, Helen, Sanseviero, Omar, Šaško, Mario, Villanova, Albert, Lhoest, Quentin, Chaumond, Julien, Mitchell, Margaret, Rush, Alexander M., Wolf, Thomas, Kiela, Douwe
Evaluation is a key part of machine learning (ML), yet there is a lack of support and tooling to enable its informed and systematic practice. We introduce Evaluate and Evaluation on the Hub --a set of tools to facilitate the evaluation of models and
Externí odkaz:
http://arxiv.org/abs/2210.01970
Autor:
Gupta, Deepak K., Bamba, Udbhav, Thakur, Abhishek, Gupta, Akash, Sharan, Suraj, Demir, Ertugrul, Prasad, Dilip K.
Convolutional neural network (CNN) approaches available in the current literature are designed to work primarily with low-resolution images. When applied on very large images, challenges related to GPU memory, smaller receptive field than needed for
Externí odkaz:
http://arxiv.org/abs/2206.12681
Autor:
Thakur, Abhishek, Kumar, Raj, Lee, Daeho, Kumar, Sushil, Kumar, Pawan, Asif, Mohammad, Ağbulut, Ümit
Publikováno v:
In Thermal Science and Engineering Progress August 2024 53
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part F
Autor:
Dubey, Shivam Kumar, Thakur, Abhishek, Jena, Manoj Kumar, Kumar, Sudarshan, Sodhi, Monika, Mukesh, Manishi, Kaushik, Jai Kumar, Mohanty, Ashok Kumar
Publikováno v:
In Biochemical and Biophysical Research Communications 20 December 2024 739
Autor:
Alex, Neel, Lifland, Eli, Tunstall, Lewis, Thakur, Abhishek, Maham, Pegah, Riedel, C. Jess, Hine, Emmie, Ashurst, Carolyn, Sedille, Paul, Carlier, Alexis, Noetel, Michael, Stuhlmüller, Andreas
Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants?
Externí odkaz:
http://arxiv.org/abs/2109.14076
Autor:
Lhoest, Quentin, del Moral, Albert Villanova, Jernite, Yacine, Thakur, Abhishek, von Platen, Patrick, Patil, Suraj, Chaumond, Julien, Drame, Mariama, Plu, Julien, Tunstall, Lewis, Davison, Joe, Šaško, Mario, Chhablani, Gunjan, Malik, Bhavitvya, Brandeis, Simon, Scao, Teven Le, Sanh, Victor, Xu, Canwen, Patry, Nicolas, McMillan-Major, Angelina, Schmid, Philipp, Gugger, Sylvain, Delangue, Clément, Matussière, Théo, Debut, Lysandre, Bekman, Stas, Cistac, Pierric, Goehringer, Thibault, Mustar, Victor, Lagunas, François, Rush, Alexander M., Wolf, Thomas
The scale, variety, and quantity of publicly-available NLP datasets has grown rapidly as researchers propose new tasks, larger models, and novel benchmarks. Datasets is a community library for contemporary NLP designed to support this ecosystem. Data
Externí odkaz:
http://arxiv.org/abs/2109.02846
Publikováno v:
In Materials Today Communications June 2024 39
Autor:
Pandey, Noopur, Kumari, Nimmy, Roy, Parag, Mondal, Susanta Kumar, Thakur, Abhishek, Sun, Changquan Calvin, Ghosh, Animesh
Publikováno v:
In International Journal of Pharmaceutics 25 January 2024 650
Autor:
Agha, Ali, Otsu, Kyohei, Morrell, Benjamin, Fan, David D., Thakker, Rohan, Santamaria-Navarro, Angel, Kim, Sung-Kyun, Bouman, Amanda, Lei, Xianmei, Edlund, Jeffrey, Ginting, Muhammad Fadhil, Ebadi, Kamak, Anderson, Matthew, Pailevanian, Torkom, Terry, Edward, Wolf, Michael, Tagliabue, Andrea, Vaquero, Tiago Stegun, Palieri, Matteo, Tepsuporn, Scott, Chang, Yun, Kalantari, Arash, Chavez, Fernando, Lopez, Brett, Funabiki, Nobuhiro, Miles, Gregory, Touma, Thomas, Buscicchio, Alessandro, Tordesillas, Jesus, Alatur, Nikhilesh, Nash, Jeremy, Walsh, William, Jung, Sunggoo, Lee, Hanseob, Kanellakis, Christoforos, Mayo, John, Harper, Scott, Kaufmann, Marcel, Dixit, Anushri, Correa, Gustavo, Lee, Carlyn, Gao, Jay, Merewether, Gene, Maldonado-Contreras, Jairo, Salhotra, Gautam, Da Silva, Maira Saboia, Ramtoula, Benjamin, Kubo, Yuki, Fakoorian, Seyed, Hatteland, Alexander, Kim, Taeyeon, Bartlett, Tara, Stephens, Alex, Kim, Leon, Bergh, Chuck, Heiden, Eric, Lew, Thomas, Cauligi, Abhishek, Heywood, Tristan, Kramer, Andrew, Leopold, Henry A., Choi, Chris, Daftry, Shreyansh, Toupet, Olivier, Wee, Inhwan, Thakur, Abhishek, Feras, Micah, Beltrame, Giovanni, Nikolakopoulos, George, Shim, David, Carlone, Luca, Burdick, Joel
This paper presents and discusses algorithms, hardware, and software architecture developed by the TEAM CoSTAR (Collaborative SubTerranean Autonomous Robots), competing in the DARPA Subterranean Challenge. Specifically, it presents the techniques uti
Externí odkaz:
http://arxiv.org/abs/2103.11470