Results 11 to 20 of about 39,536,715 (344)
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation [PDF]
Recently, large language models (LLMs) have shown great potential in recommender systems, either improving existing recommendation models or serving as the backbone.
Bowen Zheng +5 more
semanticscholar +1 more source
Beyond Transmitting Bits: Context, Semantics, and Task-Oriented Communications [PDF]
Communication systems to date primarily aim at reliably communicating bit sequences. Such an approach provides efficient engineering designs that are agnostic to the meanings of the messages or to the goal that the message exchange aims to achieve.
Deniz Gündüz +7 more
semanticscholar +1 more source
Habitat-Matterport 3D Semantics Dataset [PDF]
We present the Habitat-Matterport 3D Semantics (HM3DSem) dataset. HM3DSem is the largest dataset of 3D real-world spaces with densely annotated semantics that is currently available to the academic community.
Karmesh Yadav +11 more
semanticscholar +1 more source
Network representation learning systematic review: Ancestors and current development state
Real-world information networks are increasingly occurring across various disciplines including online social networks and citation networks. These network data are generally characterized by sparseness, nonlinearity and heterogeneity bringing different ...
Amina Amara +2 more
doaj +1 more source
Putting the semantics into semantic versioning [PDF]
to be published as Onward!
Patrick Lam 0001 +2 more
openaire +4 more sources
3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics [PDF]
We introduce 3D-FRONT (3D Furnished Rooms with layOuts and semaNTics), a new, large-scale, and comprehensive repository of synthetic indoor scenes highlighted by professionally designed layouts and a large number of rooms populated by high-quality ...
Huan Fu +19 more
semanticscholar +1 more source
In Digital Humanities the task of “text modelling” has been recognised and successfully treated in the last decades. But indeed every use of digital text processing software, even the most naive one, is already a kind of text modelling activity.
Baltasar Trancón y Widemann +1 more
doaj +2 more sources
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics [PDF]
Numerous deep learning applications benefit from multitask learning with multiple regression and classification objectives. In this paper we make the observation that the performance of such systems is strongly dependent on the relative weighting between
Alex Kendall, Y. Gal, R. Cipolla
semanticscholar +1 more source
Closed-Form Factorization of Latent Semantics in GANs [PDF]
A rich set of interpretable dimensions has been shown to emerge in the latent space of the Generative Adversarial Networks (GANs) trained for synthesizing images.
Yujun Shen, Bolei Zhou
semanticscholar +1 more source
Semantics derived automatically from language corpora contain human-like biases [PDF]
Machines learn what people know implicitly AlphaGo has demonstrated that a machine can learn how to do things that people spend many years of concentrated study learning, and it can rapidly learn how to do them better than any human can.
Aylin Caliskan +2 more
semanticscholar +1 more source

