Results 11 to 20 of about 1,752,749 (259)
Beyond Reverse KL: Generalizing Direct Preference Optimization with Diverse Divergence Constraints [PDF]
International Conference on Learning Representations, 2023 The increasing capabilities of large language models (LLMs) raise opportunities for artificial general intelligence but concurrently amplify safety concerns, such as potential misuse of AI systems, necessitating effective AI alignment.
Chaoqi Wang +4 more
semanticscholar +1 more source
Aligning Language Models with Preferences through f-divergence Minimization [PDF]
International Conference on Machine Learning, 2023 Aligning language models with preferences can be posed as approximating a target distribution representing some desired behavior. Existing approaches differ both in the functional form of the target distribution and the algorithm used to approximate it ...
Dongyoung Go +5 more
semanticscholar +1 more source
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation [PDF]
International Joint Conference on Artificial Intelligence, 2021 Knowledge distillation (KD), transferring knowledge from a cumbersome teacher model to a lightweight student model, has been investigated to design efficient neural architectures.
Taehyeon Kim +4 more
semanticscholar +1 more source
Aggregate Confusion: The Divergence of ESG Rating
Review of Finance, 2022 This paper investigates the divergence of environmental, social, and governance (ESG) ratings based on data from six prominent ESG rating agencies: KLD, Sustainalytics, Moody’s ESG (Vigeo-Eiris), S&P Global (RobecoSAM), Refinitiv (Asset4), and MSCI. We
Florian Berg +2 more
semanticscholar +1 more source
TimeTree 5: An Expanded Resource for Species Divergence Times
Molecular biology and evolution, 2022 We present the fifth edition of the TimeTree of Life resource (TToL5), a product of the timetree of life project that aims to synthesize published molecular timetrees and make evolutionary knowledge easily accessible to all.
Sudhir Kumar +7 more
semanticscholar +1 more source
Maximum Density Divergence for Domain Adaptation [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 Unsupervised domain adaptation addresses the problem of transferring knowledge from a well-labeled source domain to an unlabeled target domain where the two domains have distinctive data distributions.
Jingjing Li +5 more
semanticscholar +1 more source
Aggregate Confusion: The Divergence of ESG Ratings
Social Science Research Network, 2020 This paper investigates the divergence of environmental, social, and governance (ESG) ratings. Based on data from six prominent rating agencies - namely, KLD (MSCI Stats), Sustainalytics, Vigeo Eiris (Moody's), RobecoSAM (SP Global), Asset4 (Refinitiv ...
Florian Berg +2 more
semanticscholar +1 more source
pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data
bioRxiv, 2020 Population genetic analyses often use summary statistics to describe patterns of genetic variation and provide insight into evolutionary processes. Among the most fundamental of these summary statistics are π and dXY, which are used to describe genetic ...
Katharine L Korunes, K. Samuk
semanticscholar +1 more source
On a Generalization of the Jensen–Shannon Divergence and the Jensen–Shannon Centroid [PDF]
Entropy, 2019 The Jensen–Shannon divergence is a renown bounded symmetrization of the Kullback–Leibler divergence which does not require probability densities to have matching supports.
F. Nielsen
semanticscholar +1 more source
Mathematics, 2020 As the extension of the fuzzy sets (FSs) theory, the intuitionistic fuzzy sets (IFSs) play an important role in handling the uncertainty under the uncertain environments.
Qianli Zhou, Hongming Mo, Yong Deng
semanticscholar +1 more source