Results 121 to 130 of about 33,100 (246)
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
IEEE AccessHinged on the representation power of neural networks, neural radiance fields (NeRF) have recently emerged as one of the promising and widely applicable methods for 3D object and scene representation.
Jaeyoung Chung +3 more
doaj +1 more source
On Quadratic Penalties in Elastic Weight Consolidation
, 2017 Elastic weight consolidation (EWC, Kirkpatrick et al, 2017) is a novel algorithm designed to safeguard against catastrophic forgetting in neural networks.
Huszár, Ferenc
core
PBR‐Inspired Controllable Diffusion for Image Generation
Computer Graphics Forum, EarlyView.Abstract Despite recent advances in text‐to‐image generation, controlling geometric layout and PBR material properties in synthesized scenes remains challenging. We present a pipeline that first produces a G‐buffer (albedo, normals, depth, roughness, shading, and metallic) from a text prompt and then renders a final image through a PBR‐inspired branch ...
Bowen Xue +3 more
wiley +1 more source
Emerging applications of large language models in ecology and conservation science
Conservation Biology, EarlyView.Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides +5 more
wiley +1 more source
Dynamic memory to alleviate catastrophic forgetting in continual learning with medical imaging. [PDF]
Nat Commun, 2021 Perkonigg M +6 more
europepmc +1 more source
Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy
Journal of the Brazilian Computer SocietyDeep Learning models have achieved remarkable performance in tasks such as image classification or generation, often surpassing human accuracy. However, they can struggle to learn new tasks and update their knowledge without access to previous data, leading to a significant loss of accuracy known as Catastrophic Forgetting (CF).
Everton Lima Aleixo +3 more
openaire +2 more sources
Class-Incremental Learning-Based Few-Shot Underwater-Acoustic Target Recognition
Journal of Marine Science and EngineeringThis paper proposes an underwater-acoustic class-incremental few-shot learning (UACIL) method for streaming data processing in practical underwater-acoustic target recognition scenarios. The core objective is to expand classification capabilities for new
Wenbo Wang +3 more
doaj +1 more source
European Journal of Philosophy, EarlyView.Abstract What norms govern aesthetic conversations? In Hansen and Adams (2024), we argue for a norm we call, following Stanley Cavell, “the hope of agreement”, along with a requirement of “seriousness”, the “discipline of accounting for one's judgments”.
Nat Hansen, Zed Adams
wiley +1 more source
Can a lizard ride on a housefly?: Navigating uncertainty and moral life in an Accra Zongo, Ghana
Ethos, EarlyView.Abstract How can uncertainty become a resource for ethical life rather than a threat to it? Focusing on a Zongo community in Accra, Ghana—also known as a “traveler's camp” or “stranger's quarters”—this article examines how people use a creative form of communication called the practice of folding to sustain relationships shaped by conditions of ...
Emily A. Williamson
wiley +1 more source
Enchanting the Otherwise: Magical Realism and the Gendered Ontologies of Organizational Becoming
Gender, Work &Organization, EarlyView.ABSTRACT This paper enacts a feminist‐posthumanist reimagining of gender as ontological disturbance, using magical realism not as metaphor but as epistemological method. Rejecting representational logics and the managerial rationalities of organizational realism, we advance gender not as identity or role but as spectral interference—a transversal ...
Max Ganzin, Diana Ivanycheva
wiley +1 more source