Results 11 to 20 of about 756,391 (343)

Self-Refine: Iterative Refinement with Self-Feedback [PDF]

open access: yesNeural Information Processing Systems, 2023
Like humans, large language models (LLMs) do not always generate the best output on their first try. Motivated by how humans refine their written text, we introduce Self-Refine, an approach for improving initial outputs from LLMs through iterative ...
Aman Madaan   +14 more
semanticscholar   +1 more source

Image Super-Resolution via Iterative Refinement [PDF]

open access: yesIEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
We present SR3, an approach to image Super-Resolution via Repeated Refinement. SR3 adapts denoising diffusion probabilistic models (Ho et al. 2020), (Sohl-Dickstein et al.
Chitwan Saharia   +5 more
semanticscholar   +1 more source

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Graph convolutional networks (GCNs) have been widely used and achieved remarkable results in skeleton-based action recognition. In GCNs, graph topology dominates feature aggregation and therefore is the key to extracting representative features.
Yuxin Chen   +5 more
semanticscholar   +1 more source

The KIR repertoire of a West African chimpanzee population is characterized by limited gene, allele, and haplotype variation

open access: yesFrontiers in Immunology, 2023
IntroductionThe killer cell immunoglobulin-like receptors (KIR) play a pivotal role in modulating the NK cell responses, for instance, through interaction with major histocompatibility complex (MHC) class I molecules.
Natasja G. de Groot   +5 more
doaj   +1 more source

Motion Transformer with Global Intention Localization and Local Movement Refinement [PDF]

open access: yesNeural Information Processing Systems, 2022
Predicting multimodal future behavior of traffic participants is essential for robotic vehicles to make safe decisions. Existing works explore to directly predict future trajectories based on latent features or utilize dense goal candidates to identify ...
Shaoshuai Shi   +3 more
semanticscholar   +1 more source

CLRNet: Cross Layer Refinement Network for Lane Detection [PDF]

open access: yesComputer Vision and Pattern Recognition, 2022
Lane is critical in the vision navigation system of the intelligent vehicle. Naturally, lane is a traffic sign with high-level semantics, whereas it owns the specific local pattern which needs detailed low-level features to localize accurately.
Tu Zheng   +6 more
semanticscholar   +1 more source

The Genomic Organization of the LILR Region Remained Largely Conserved Throughout Primate Evolution: Implications for Health And Disease

open access: yesFrontiers in Immunology, 2021
The genes of the leukocyte immunoglobulin-like receptor (LILR) family map to the leukocyte receptor complex (LRC) on chromosome 19, and consist of both activating and inhibiting entities. These receptors are often involved in regulating immune responses,
Lisanne Storm   +4 more
doaj   +1 more source

Rapid Characterization of Complex Killer Cell Immunoglobulin-Like Receptor (KIR) Regions Using Cas9 Enrichment and Nanopore Sequencing

open access: yesFrontiers in Immunology, 2021
Long-read sequencing approaches have considerably improved the quality and contiguity of genome assemblies. Such platforms bear the potential to resolve even extremely complex regions, such as multigenic immune families and repetitive stretches of DNA ...
Jesse Bruijnesteijn   +4 more
doaj   +1 more source

Sensory Symptoms Associated with Aesthetic Botulinum Toxin A Treatments

open access: yesPlastic and Reconstructive Surgery, Global Open, 2022
Background:. A retrospective review of patients who switched from onabotulinumtoxinA (onaA) and/or abobotulinumtoxinA (aboA) to incobotulinumtoxinA (incoA) found anecdotal reports of differences in “feel,” including a “lighter” feel or treatment ...
Niamh Corduff, MBBS, FRACS
doaj   +1 more source

ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement [PDF]

open access: yesIEEE International Conference on Computer Vision, 2021
Recently, the power of unconditional image synthesis has significantly advanced through the use of Generative Adversarial Networks (GANs). The task of inverting an image into its corresponding latent code of the trained GAN is of utmost importance as it ...
Yuval Alaluf, Or Patashnik, D. Cohen-Or
semanticscholar   +1 more source

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