Zobrazeno 1 - 10
of 13 999
pro vyhledávání: '"Dissanayake, A"'
Autor:
Vayani, Ashmal, Dissanayake, Dinura, Watawana, Hasindri, Ahsan, Noor, Sasikumar, Nevasini, Thawakar, Omkar, Ademtew, Henok Biadglign, Hmaiti, Yahya, Kumar, Amandeep, Kuckreja, Kartik, Maslych, Mykola, Ghallabi, Wafa Al, Mihaylov, Mihail, Qin, Chao, Shaker, Abdelrahman M, Zhang, Mike, Ihsani, Mahardika Krisna, Esplana, Amiel, Gokani, Monil, Mirkin, Shachar, Singh, Harsh, Srivastava, Ashay, Hamerlik, Endre, Izzati, Fathinah Asma, Maani, Fadillah Adamsyah, Cavada, Sebastian, Chim, Jenny, Gupta, Rohit, Manjunath, Sanjay, Zhumakhanova, Kamila, Rabevohitra, Feno Heriniaina, Amirudin, Azril, Ridzuan, Muhammad, Kareem, Daniya, More, Ketan, Li, Kunyang, Shakya, Pramesh, Saad, Muhammad, Ghasemaghaei, Amirpouya, Djanibekov, Amirbek, Azizov, Dilshod, Jankovic, Branislava, Bhatia, Naman, Cabrera, Alvaro, Obando-Ceron, Johan, Otieno, Olympiah, Farestam, Fabian, Rabbani, Muztoba, Baliah, Sanoojan, Sanjeev, Santosh, Shtanchaev, Abduragim, Fatima, Maheen, Nguyen, Thao, Kareem, Amrin, Aremu, Toluwani, Xavier, Nathan, Bhatkal, Amit, Toyin, Hawau, Chadha, Aman, Cholakkal, Hisham, Anwer, Rao Muhammad, Felsberg, Michael, Laaksonen, Jorma, Solorio, Thamar, Choudhury, Monojit, Laptev, Ivan, Shah, Mubarak, Khan, Salman, Khan, Fahad
Existing Large Multimodal Models (LMMs) generally focus on only a few regions and languages. As LMMs continue to improve, it is increasingly important to ensure they understand cultural contexts, respect local sensitivities, and support low-resource
Externí odkaz:
http://arxiv.org/abs/2411.16508
In a classification task, counterfactual explanations provide the minimum change needed for an input to be classified into a favorable class. We consider the problem of privately retrieving the exact closest counterfactual from a database of accepted
Externí odkaz:
http://arxiv.org/abs/2411.10429
Autor:
Dissanayake, Pasan, Hamman, Faisal, Halder, Barproda, Sucholutsky, Ilia, Zhang, Qiuyi, Dutta, Sanghamitra
Knowledge distillation provides an effective method for deploying complex machine learning models in resource-constrained environments. It typically involves training a smaller student model to emulate either the probabilistic outputs or the internal
Externí odkaz:
http://arxiv.org/abs/2411.07483
Transparency and explainability are two extremely important aspects to be considered when employing black-box machine learning models in high-stake applications. Providing counterfactual explanations is one way of catering this requirement. However,
Externí odkaz:
http://arxiv.org/abs/2410.13812
Lifelong imitation learning for manipulation tasks poses significant challenges due to distribution shifts that occur in incremental learning steps. Existing methods often focus on unsupervised skill discovery to construct an ever-growing skill libra
Externí odkaz:
http://arxiv.org/abs/2410.00064
Autor:
Dissanayake, Oshana, Riaboff, Lucile, McPherson, Sarah E., Kennedy, Emer, Cunningham, Pádraig
In recent years, there has been considerable progress in research on human activity recognition using data from wearable sensors. This technology also has potential in the context of animal welfare in livestock science. In this paper, we report on re
Externí odkaz:
http://arxiv.org/abs/2408.13041
Autor:
Dissanayake, Oshana, McPherson, Sarah E., Allyndree, Joseph, Kennedy, Emer, Cunningham, Padraig, Riaboff, Lucile
Getting new insights on pre-weaned calf behavioral adaptation to routine challenges (transport, group relocation, etc.) and diseases (respiratory diseases, diarrhea, etc.) is a promising way to improve calf welfare in dairy farms. A classic approach
Externí odkaz:
http://arxiv.org/abs/2409.00053
Autor:
Jamshidian, Mostafa, Zwick, Benjamin, Dissanayake, Arosha S, Wittek, Adam, Phillips, Timothy J, Honeybul, Stephen, Hankey, Graeme J, Miller, Karol
Cerebral aneurysm rupture, leading to subarachnoid hemorrhage with a high mortality rate, disproportionately affects younger populations, resulting in a significant loss of productive life years. A significant proportion of these deaths is due to ane
Externí odkaz:
http://arxiv.org/abs/2407.05247
Fine-tuning large language models (LLMs) on limited tabular data for classification tasks can lead to \textit{fine-tuning multiplicity}, where equally well-performing models make conflicting predictions on the same inputs due to variations in the tra
Externí odkaz:
http://arxiv.org/abs/2407.04173
Autor:
Halder, Barproda, Hamman, Faisal, Dissanayake, Pasan, Zhang, Qiuyi, Sucholutsky, Ilia, Dutta, Sanghamitra
Spurious patterns refer to a mathematical association between two or more variables in a dataset that are not causally related. However, this notion of spuriousness, which is usually introduced due to sampling biases in the dataset, has classically l
Externí odkaz:
http://arxiv.org/abs/2407.00482