Suchergebnisse - (decoding OR coding) (Algorithmsssicics OR (algorithm OR (algorithm OR algorithm)))

Human-compatible driving partners through data-regularized self-play reinforcement learning von Cornelisse, Daphne, Vinitsky, Eugene

Inhaltsangabe: “… -loop settings, we propose Human-Regularized PPO (HR-PPO), a multi-agent algorithm where agents …”
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Universal Bovine Identification via Depth Data and Deep Metric Learning von Sharma, Asheesh, Randewich, Lucy, Andrew, William, Hannuna, Sion, Campbell, Neill, Mullan, Siobhan, Dowsey, Andrew W., Smith, Melvyn, Hansen, Mark, Burghardt, Tilo

Inhaltsangabe: “… learning system for accurately identifying individual cattle and provides associated code, datasets …”
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Advancing LLM Reasoning Generalists with Preference Trees von Yuan, Lifan, Cui, Ganqu, Wang, Hanbin, Ding, Ning, Wang, Xingyao, Deng, Jia, Shan, Boji, Chen, Huimin, Xie, Ruobing, Lin, Yankai, Liu, Zhenghao, Zhou, Bowen, Peng, Hao, Liu, Zhiyuan, Sun, Maosong

Inhaltsangabe: “… diverse set of benchmarks covering mathematics, code generation, and logical reasoning problems. Notably …”
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LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP von Huang, Yunshi, Shakeri, Fereshteh, Dolz, Jose, Boudiaf, Malik, Bahig, Houda, Ayed, Ismail Ben

Inhaltsangabe: “… algorithm. In our full-batch MM optimizer, which we coin LP++, step sizes are implicit, unlike standard …”
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Data Limitations for Modeling Top-Down Effects on Drivers' Attention von Kotseruba, Iuliia, Tsotsos, John K.

Inhaltsangabe: “… to train and evaluate algorithms for drivers' gaze prediction. We define a set of driving tasks (lateral …”
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Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery von Wang, Ye, Wang, Yaxiong, Wu, Yujiao, Zhao, Bingchen, Qian, Xueming

Inhaltsangabe: “… algorithms and are thus subject to their inherent limitations. Firstly, the estimated cluster number is often …”
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Jacobi Prior: An Alternative Bayesian Method for Supervised Learning von Das, Sourish, Sardar, Shouvik

Inhaltsangabe: “… data across multiple servers. We propose a parallelisable Monte Carlo algorithm to quantify …”
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NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator von Shivdikar, Kaustubh, Agostini, Nicolas Bohm, Jayaweera, Malith, Jonatan, Gilbert, Abellan, Jose L., Joshi, Ajay, Kim, John, Kaeli, David

Inhaltsangabe: “… introduce NeuraChip, a novel GNN spatial accelerator based on Gustavson's algorithm. NeuraChip decouples …”
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Cross-Temporal Spectrogram Autoencoder (CTSAE): Unsupervised Dimensionality Reduction for Clustering Gravitational Wave Glitches von Li, Yi, Wu, Yunan, Katsaggelos, Aggelos K.

Inhaltsangabe: “… or semi-supervised algorithms for the task of glitch classification and clustering. In the future task …”
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Detection of Peri-Pancreatic Edema using Deep Learning and Radiomics Techniques von Hong, Ziliang, Jha, Debesh, Biswas, Koushik, Zhang, Zheyuan, Velichko, Yury, Yazici, Cemal, Tirkes, Temel, Borhani, Amir, Turkbey, Baris, Medetalibeyoglu, Alpay, Durak, Gorkem, Bagci, Ulas

Inhaltsangabe: “… {LinTransUNet} model, a linear Transformer based segmentation algorithm, to segment the pancreas accurately from …”
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Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching von Diao, Haiwen, Zhang, Ying, Gao, Shang, Ruan, Xiang, Lu, Huchuan

Inhaltsangabe: “… Learning (DBL) algorithm, where an anchor branch is first trained to provide insights into the data …”
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UWAFA-GAN: Ultra-Wide-Angle Fluorescein Angiography Transformation via Multi-scale Generation and Registration Enhancement von Ge, Ruiquan, Fang, Zhaojie, Wei, Pengxue, Chen, Zhanghao, Jiang, Hongyang, Elazab, Ahmed, Li, Wangting, Wan, Xiang, Zhang, Shaochong, Wang, Changmiao

Inhaltsangabe: “… -modality medical image generation algorithms capable of converting UWF-SLO images into their UWF-FA …”
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Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-Training von Zhang, Wenyu, Shen, Li, Foo, Chuan-Sheng

Inhaltsangabe: “… -learn algorithm to improve target pseudolabel quality collaboratively through the source model and a pre …”
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OneTo3D: One Image to Re-editable Dynamic 3D Model and Video Generation von Lin, Jinwei

Inhaltsangabe: “… for the object armature. Combined with the re-editable motions and actions analyzing and controlling algorithm we …”
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PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning von Ying, Chengyang, Hao, Zhongkai, Zhou, Xinning, Xu, Xuezhou, Su, Hang, Zhang, Xingxing, Zhu, Jun

Inhaltsangabe: “… , we develop a novel algorithm Pre-trained Embodiment-Aware Control (PEAC) for handling CEURL …”
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PrivCirNet: Efficient Private Inference via Block Circulant Transformation von Xu, Tianshi, Wu, Lemeng, Wang, Runsheng, Li, Meng

Inhaltsangabe: “… , PrivCirNet customizes the HE encoding algorithm that is fully compatible with the block circulant …”
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Evolution and learning in differentiable robots von Strgar, Luke, Matthews, David, Hummer, Tyler, Kriegman, Sam

Inhaltsangabe: “… -- mutations that rearrange, combine, add, or remove body parts -- were applied by a genetic algorithm …”
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A $Li$ne $Me$asuring library for large and complex spectroscopic data sets: Implementation of a virtual observatory for JWST spectra von Fernández, V., Amorín, R., Firpo, V., Morisset, C.

Inhaltsangabe: “… and kinematic analyses. To reduce the coding effort required from users, we introduced a notation system …”
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OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code von Faldor, Maxence, Zhang, Jenny, Cully, Antoine, Clune, Jeff

Inhaltsangabe: “… Open-ended and AI-generating algorithms aim to continuously generate and solve increasingly complex …”
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Trackastra: Transformer-based cell tracking for live-cell microscopy von Gallusser, Benjamin, Weigert, Martin

Inhaltsangabe: “… algorithms for various biological datasets, such as bacteria, cell cultures and fluorescent particles. We …”
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