Search Results - (endedededeendecoding OR (encoding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures by Dibbo, Sayanton V., Breuer, Adam, Moore, Juston, Teti, Michael

Table of Contents: “…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 by Chitta, Kashyap, Dauner, Daniel, Geiger, Andreas

Table of Contents: “…-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 by Chew, Ray, Dolaptchiev, Stamen, Wedel, Maja-Sophie, Achatz, Ulrich

Table of Contents: “… 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 by Deng, Tianchen, Wang, Yanbo, Xie, Hongle, Wang, Hesheng, Wang, Jingchuan, Wang, Danwei, Chen, Weidong

Table of Contents: “…, 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 by Semenov, Andrei, Ivanov, Vladimir, Beznosikov, Aleksandr, Gasnikov, Alexander

Table of Contents: “… 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 by Anderson, David F., Joshi, Badal

Table of Contents: “…. 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 by Farina, Matteo, Mancini, Massimiliano, Cunegatti, Elia, Liu, Gaowen, Iacca, Giovanni, Ricci, Elisa

Table of Contents: “…, 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 by Wen, Junren, Gao, Haiqi, Shi, Weiming, Feng, Shuaibo, Hao, Lingyun, Liu, Yujie, Xu, Liang, Shao, Yuchuan, Zhang, Yueguang, Shen, Weidong, Yang, Chenying

Table of Contents: “… 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 by Yao, Jiawei, Qian, Qi, Hu, Juhua

Table of Contents: “… 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 by Bellei, Claudio, Xu, Muhua, Phillips, Ross, Robinson, Tom, Weber, Mark, Kaler, Tim, Leiserson, Charles E., Arvind, Chen, Jie

Table of Contents: “… 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 by Yin, Shi, Pan, Xinyang, Wang, Fengyan, He, Lixin

Table of Contents: “… 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 by Guo, Xiaobao, Yu, Zitong, Selvaraj, Nithish Muthuchamy, Shen, Bingquan, Kong, Adams Wai-Kin, Kot, Alex C.

Table of Contents: “… 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 by Ludwig, Oswaldo

Table of Contents: “… of the AdaGrad optimization algorithm. This means that weights that have received many updates should have lower…”
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Harnessing Vision-Language Pretrained Models with Temporal-Aware Adaptation for Referring Video Object Segmentation by Zhou, Zikun, Xiong, Wentao, Zhou, Li, Li, Xin, He, Zhenyu, Wang, Yaowei

Table of Contents: “… pretrained representations for pixel-level prediction but also empowers the vision encoder to model temporal…”
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RefDrop: Controllable Consistency in Image or Video Generation via Reference Feature Guidance by Fan, Jiaojiao, Xue, Haotian, Zhang, Qinsheng, Chen, Yongxin

Table of Contents: “… coefficient is not necessary and simplifies the controllable generation mechanism. The resulting algorithm…”
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Dividing quantum circuits for time evolution of stochastic processes by orthogonal series density estimation by Miyamoto, Koichi

Table of Contents: “…Quantum Monte Carlo integration (QMCI) is a quantum algorithm to estimate expectations of random…”
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A Quantum Neural Network-Based Approach to Power Quality Disturbances Detection and Recognition by Li, Guo-Dong, He, Hai-Yan, Li, Yue, Li, Xin-Hao, Liu, Hao, Wang, Qing-Le, Cheng, Long

Table of Contents: “… algorithms for PQDs detection and recognition have been extensively studied and applied, related work…”
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Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts by Vahedi, Behzad, Lucas, Benjamin, Banaei-Kashani, Farnoush, Barrett, Andrew P., Meier, Walter N., Khalsa, Siri Jodha, Karimzadeh, Morteza

Table of Contents: “… for automated deep learning-based classification approaches. However, training these algorithms is challenging…”
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Domain Generalization Guided by Large-Scale Pre-Trained Priors by Wang, Zongbin, Pan, Bin, Shen, Shiyu, Shi, Tianyang, Shi, Zhenwei

Table of Contents: “… with the pre-trained priors for DG. In implementation, we utilize an encoder to simulate the model distribution…”
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Mining Frequent Structures in Conceptual Models by Fumagalli, Mattia, Sales, Tiago Prince, Barcelos, Pedro Paulo F., Micale, Giovanni, Glaser, Philipp-Lorenz, Bork, Dominik, Zaytsev, Vadim, Calvanese, Diego, Guizzardi, Giancarlo

Table of Contents: “…. This implementation includes an exploratory tool that integrates a frequent subgraph mining algorithm with graph…”
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