Résultats de la recherche - (encoding OR decoding) (Algorithmssssicsics OR (algorithm OR (algorithm OR algorithm)))

Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities par Wang, Huan, Li, Yan-Fu, Gryllias, Konstantinos

Table des matières: “… (ANNs) has been instrumental in augmenting intelligent IFD algorithms, particularly in the context…”
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CrisisKAN: Knowledge-infused and Explainable Multimodal Attention Network for Crisis Event Classification par Gupta, Shubham, Saini, Nandini, Kundu, Suman, Das, Debasis

Table des matières: “… features of image and text modalities due to inconsistent encoding. Also, the black-box nature of models…”
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Adaptive Quantum Optimized Centroid Initialization par Allgood, Nicholas R., Borle, Ajinkya, Nicholas, Charles K.

Table des matières: “…Prototype-based clustering algorithms such as k-means are sensitive to the selection of initial…”
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OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection par Jannat, Fatema-E, Gholami, Sina, Alam, Minhaj Nur, Tabkhi, Hamed

Table des matières: “…Despite the revolutionary impact of AI and the development of locally trained algorithms, achieving…”
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Massive Unsourced Random Access for Near-Field Communications par Xie, Xinyu, Wu, Yongpeng, An, Jianping, Ng, Derrick Wing Kwan, Xing, Chengwen, Zhang, Wenjun

Table des matières: “… an uncoupled transmission protocol without appending redundancies to the slot-wise encoded messages. To exploit…”
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MaskLRF: Self-supervised Pretraining via Masked Autoencoding of Local Reference Frames for Rotation-invariant 3D Point Set Analysis par Furuya, Takahiko

Table des matières: “… for practical 3D point set analysis. The proposed algorithm, called MaskLRF, learns rotation-invariant…”
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Investigating the Benefits of Projection Head for Representation Learning par Xue, Yihao, Gan, Eric, Ni, Jiayi, Joshi, Siddharth, Mirzasoleiman, Baharan

Table des matières: “… on top of the encoder during training, then discarding it and using the pre-projection representations…”
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Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures par Dibbo, Sayanton V., Breuer, Adam, Moore, Juston, Teti, Michael

Table des matières: “…Recent model inversion attack algorithms permit adversaries to reconstruct a neural network…”
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SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic par Chitta, Kashyap, Dauner, Daniel, Geiger, Andreas

Table des matières: “…-to-vector autoencoder. It encodes agents and the lane graph into distinct channels in a rasterized latent…”
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A Constrained Spectral Approximation of Subgrid-Scale Orography on Unstructured Grids par Chew, Ray, Dolaptchiev, Stamen, Wedel, Maja-Sophie, Achatz, Ulrich

Table des matières: “… of orographic gravity-wave sources in weather forecasting. A significant hurdle is encoding as much physical…”
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NeSLAM: Neural Implicit Mapping and Self-Supervised Feature Tracking With Depth Completion and Denoising par Deng, Tianchen, Wang, Yanbo, Xie, Hongle, Wang, Hesheng, Wang, Jingchuan, Wang, Danwei, Chen, Weidong

Table des matières: “…, which utilizes implicit neural representation to encode 3D scenes. This extension of NeRF to SLAM has…”
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Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning par Semenov, Andrei, Ivanov, Vladimir, Beznosikov, Aleksandr, Gasnikov, Alexander

Table des matières: “… Concept Bottleneck Model from pre-trained multi-modal encoder and new CLIP-like architectures…”
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Chemical mass-action systems as analog computers: implementing arithmetic computations at specified speed par Anderson, David F., Joshi, Badal

Table des matières: “…. In this context, the inputs to a computation are encoded as initial values of certain chemical species while…”
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MULTIFLOW: Shifting Towards Task-Agnostic Vision-Language Pruning par Farina, Matteo, Mancini, Massimiliano, Cunegatti, Elia, Liu, Gaowen, Iacca, Giovanni, Ricci, Elisa

Table des matières: “…, the transferable representations already encoded in the pretrained model are a key aspect to preserve. Thus, we…”
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On-chip Real-time Hyperspectral Imager with Full CMOS Resolution Enabled by Massively Parallel Neural Network par Wen, Junren, Gao, Haiqi, Shi, Weiming, Feng, Shuaibo, Hao, Lingyun, Liu, Yujie, Xu, Liang, Shao, Yuchuan, Zhang, Yueguang, Shen, Weidong, Yang, Chenying

Table des matières: “… techniques suitable for mass production and the high-speed, high-accuracy reconstruction algorithm for real…”
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Multi-Modal Proxy Learning Towards Personalized Visual Multiple Clustering par Yao, Jiawei, Qian, Qi, Hu, Juhua

Table des matières: “… datasets. However, a major challenge arises as users often do not need all the clusterings that algorithms…”
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The Shape of Money Laundering: Subgraph Representation Learning on the Blockchain with the Elliptic2 Dataset par Bellei, Claudio, Xu, Muhua, Phillips, Ross, Robinson, Tom, Weber, Mark, Kaler, Tim, Leiserson, Charles E., Arvind, Chen, Jie

Table des matières: “… encodes relational information at a subgroup level (multiple connected nodes) rather than at a node level…”
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TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction par Yin, Shi, Pan, Xinyang, Wang, Fengyan, He, Lixin

Table des matières: “… to induce SO(3)-equivariant encodings of various degrees from the learned SO(3)-invariant features…”
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Benchmarking Cross-Domain Audio-Visual Deception Detection par Guo, Xiaobao, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex C.

Table des matières: “… for multi-to-single domain generalization evaluation. We also propose an algorithm to enhance…”
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CLASSP: a Biologically-Inspired Approach to Continual Learning through Adjustment Suppression and Sparsity Promotion par Ludwig, Oswaldo

Table des matières: “… of the AdaGrad optimization algorithm. This means that weights that have received many updates should have lower…”
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