Results 21 to 30 of about 14,756,141 (329)
Learning Linear Causal Representations from Interventions under General Nonlinear Mixing [PDF]
Neural Information Processing Systems, 2023 We study the problem of learning causal representations from unknown, latent interventions in a general setting, where the latent distribution is Gaussian but the mixing function is completely general.
Simon Buchholz +5 more
semanticscholar +1 more source
Doğal Afetler ve Çevre Dergisi, 2023 The mass movement towards stream beds and their accumulation there may cause flood events as a result of landslide events. In this study, Devrek Landslide, which occurred in 2015, was investigated by using a remote sensing technique. The Çomaklar stream
Şerife Pınar Güvel +2 more
doaj +1 more source
General Instance Distillation for Object Detection [PDF]
Computer Vision and Pattern Recognition, 2021 In recent years, knowledge distillation has been proved to be an effective solution for model compression. This approach can make lightweight student models acquire the knowledge extracted from cumbersome teacher models.
Xing Dai +6 more
semanticscholar +1 more source
Integrated Community Onsite Sanitation System for Close Loop Faecal Management [PDF]
E3S Web of Conferences, 2021 The achievement of safe sanitation access is about 7.42 % in 2018, that indicates high risk of faecal contamination from unmanaged onsite sanitation system and has not been fully supported by faecal sludge service.
Hastuti Elis +4 more
doaj +1 more source
Dual Contrastive Learning for General Face Forgery Detection [PDF]
AAAI Conference on Artificial Intelligence, 2021 With various facial manipulation techniques arising, face forgery detection has drawn growing attention due to security concerns. Previous works always formulate face forgery detection as a classification problem based on cross-entropy loss, which ...
Ke Sun +5 more
semanticscholar +1 more source
General Cutting Planes for Bound-Propagation-Based Neural Network Verification [PDF]
Neural Information Processing Systems, 2022 Bound propagation methods, when combined with branch and bound, are among the most effective methods to formally verify properties of deep neural networks such as correctness, robustness, and safety. However, existing works cannot handle the general form
Huan Zhang +7 more
semanticscholar +1 more source
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features [PDF]
Bioinform., 2013 MOTIVATION Next-generation sequencing technologies generate millions of short sequence reads, which are usually aligned to a reference genome. In many applications, the key information required for downstream analysis is the number of reads mapping to ...
Yang Liao, G. Smyth, Wei Shi
semanticscholar +1 more source
Soft Diffusion: Score Matching for General Corruptions [PDF]
arXiv.org, 2022 We define a broader family of corruption processes that generalizes previously known diffusion models. To reverse these general diffusions, we propose a new objective called Soft Score Matching that provably learns the score function for any linear ...
G. Daras +4 more
semanticscholar +1 more source
Rehabilitation and reconstruction of community housing post-West Nusa Tenggara Earthquake 2018 (A case of Lauk Rurung Timuk and Lauk Rurung Barat Sub-villages, Sembalun Bumbung, Sembalun, East Lombok) [PDF]
E3S Web of Conferences, 2020 Three strong earthquakes occurred and damaged the infrastructures and human settlements at some regions of West Nusa Tenggara Province in July and August 2018. This paper describes the policy and action taken by Ministry of Public Works and Housing (MPWH)
Saputra Choirul Rama
doaj +1 more source
Globalization and Health, 2020 Background The COVID-19 pandemic has had a significant impact on public mental health. Therefore, monitoring and oversight of the population mental health during crises such as a panedmic is an immediate priority.
N. Salari +7 more
semanticscholar +1 more source