Results 1 to 10 of about 1,511,729 (99)
Análise, Projeto e Desenvolvimento de um Conversor Duplo Forward Zcs com Ressonânica Dupla para Aplicação em Fontes Chaveadas Isoladas [PDF]
Eletrônica de Potência, 2013 Este trabalho apresenta um novo conversor Duplo Forward que consiste de dois conversores Forward acoplados ao mesmo núcleo magnético permitindo o uso completo do ciclo de histerese do transformador.
Alexandre M. de Andrade +5 more
doaj +2 more sources
, 2022 A complete study of a topology resulting from a combination of two Forward structures, attached to the same magnetic core of a transformer and operating as a Full-Bridge converter is presented. In order to reduce the switching losses and the electromagnetic interference, a soft commutation cell that provides ZCS commutation of all the switches is ...
Alexandre Andrade
openaire +3 more sources
Fine-Tuning Language Models with Just Forward Passes [PDF]
Neural Information Processing Systems, 2023 Fine-tuning language models (LMs) has yielded success on diverse downstream tasks, but as LMs grow in size, backpropagation requires a prohibitively large amount of memory.
Sadhika Malladi +6 more
semanticscholar +1 more source
Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space [PDF]
Conference on Empirical Methods in Natural Language Processing, 2022 Transformer-based language models (LMs) are at the core of modern NLP, but their internal prediction construction process is opaque and largely not understood. In this work, we make a substantial step towards unveiling this underlying prediction process,
Mor Geva +3 more
semanticscholar +1 more source
FB-OCC: 3D Occupancy Prediction based on Forward-Backward View Transformation [PDF]
arXiv.org, 2023 This technical report summarizes the winning solution for the 3D Occupancy Prediction Challenge, which is held in conjunction with the CVPR 2023 Workshop on End-to-End Autonomous Driving and CVPR 23 Workshop on Vision-Centric Autonomous Driving Workshop.
Zhiqi Li +6 more
semanticscholar +1 more source
The Forward-Forward Algorithm: Some Preliminary Investigations [PDF]
arXiv.org, 2022 The aim of this paper is to introduce a new learning procedure for neural networks and to demonstrate that it works well enough on a few small problems to be worth further investigation.
Geoffrey E. Hinton
semanticscholar +1 more source
FB-BEV: BEV Representation from Forward-Backward View Transformations [PDF]
IEEE International Conference on Computer Vision, 2023 View Transformation Module (VTM), where transformations happen between multi-view image features and Bird-Eye-View (BEV) representation, is a crucial step in camera-based BEV perception systems. Currently, the two most prominent VTM paradigms are forward
Zhiqi Li +5 more
semanticscholar +1 more source
Forward Compatible Few-Shot Class-Incremental Learning [PDF]
Computer Vision and Pattern Recognition, 2022 Novel classes frequently arise in our dynamically changing world, e.g., new users in the authentication system, and a machine learning model should recognize new classes without forgetting old ones.
Da-Wei Zhou +5 more
semanticscholar +1 more source
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass [PDF]
Conference on Computer and Communications Security, 2023 Differentially private stochastic gradient descent (DP-SGD) adds noise to gradients in back-propagation, safeguarding training data from privacy leakage, particularly membership inference.
Minxin Du +5 more
semanticscholar +1 more source
The Forward Physics Facility at the High-Luminosity LHC [PDF]
Journal of Physics G: Nuclear and Particle Physics, 2022 High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles along the beam collision axis, outside of the acceptance of existing LHC experiments.
Jonathan L. Feng +235 more
semanticscholar +1 more source