Risultati della ricerca - (endedededeendecoding OR (coding OR Decoding)) (algorithmics OR (algorithm OR algorithm))

Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction di Xu, Xiang, Wang, Hao, Guo, Wei, Zhang, Luankang, Yang, Wanshan, Yu, Runlong, Liu, Yong, Lian, Defu, Chen, Enhong

Sommario: “... prediction. Current long-term user behavior modeling algorithms predominantly follow two cascading stages...”
Testo

2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification di Zhang, Jingwei, Nguyen, Anh Tien, Han, Xi, Trinh, Vincent Quoc-Huy, Qin, Hong, Samaras, Dimitris, Hosseini, Mahdi S.

Sommario: “... prohibitively slow computation due to the lack of efficient parallel algorithms. In this work, we propose 2...”
Testo

Unveiling Concept Attribution in Diffusion Models di Nguyen, Quang H., Phan, Hoang, Doan, Khoa D.

Sommario: “... introduce two fast, inference-time model editing algorithms, CAD-Erase and CAD-Amplify; in particular, CAD...”
Testo

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection di Chen, Yishuo, Wang, Boran, Guo, Xinyu, Zhu, Wenbin, He, Jiasheng, Liu, Xiaobin, Yuan, Jing

Sommario: “... algorithms by a clear margin. Our code is available at https://github.com/chips96/DEYOLO. ...”
Testo

DRL4AOI: A DRL Framework for Semantic-aware AOI Segmentation in Location-Based Services di Lin, Youfang, Fu, Jinji, Wen, Haomin, Wang, Jiyuan, Wei, Zhenjie, Qiang, Yuting, Mao, Xiaowei, Wu, Lixia, Hu, Haoyuan, Liang, Yuxuan, Wan, Huaiyu

Sommario: “.... Traditional AOI segmentation algorithms primarily rely on road networks to partition urban areas. While...”
Testo

Advancing Attribution-Based Neural Network Explainability through Relative Absolute Magnitude Layer-Wise Relevance Propagation and Multi-Component Evaluation di Vukadin, Davor, Afrić, Petar, Šilić, Marin, Delač, Goran

Sommario: “..., researchers proposed many algorithms to aid neural network understanding and provide additional information...”
Testo

ZoRI: Towards Discriminative Zero-Shot Remote Sensing Instance Segmentation di Huang, Shiqi, He, Shuting, Wen, Bihan

Sommario: “...Instance segmentation algorithms in remote sensing are typically based on conventional methods...”
Testo

Using matrix-product states for time-series machine learning di Moore, Joshua B., Stackhouse, Hugo P., Fulcher, Ben D., Mahmoodian, Sahand

Sommario: “... an MPS-based algorithm, MPSTime, for learning a joint probability distribution underlying an observed...”
Testo

LABIIUM: AI-Enhanced Zero-configuration Measurement Automation System di Olowe, Emmanuel A., Chitnis, Danial

Sommario: “... by Large Language Models (LLMs) to generate code. LABIIUM's Lab-Automation-Measurement Bridges (LAMBs...”
Testo

TrajLearn: Trajectory Prediction Learning using Deep Generative Models di Nadiri, Amirhossein, Li, Jing, Faraji, Ali, Abuoda, Ghadeer, Papagelis, Manos

Sommario: “... to assess the impact of key model components. Furthermore, we developed a novel algorithm to generate mixed...”
Testo

Improving Autoregressive Visual Generation with Cluster-Oriented Token Prediction di Hu, Teng, Zhang, Jiangning, Yi, Ran, Weng, Jieyu, Wang, Yabiao, Zeng, Xianfang, Xue, Zhucun, Ma, Lizhuang

Sommario: “...-means clustering algorithm to rearrange the visual codebook into clusters, ensuring high similarity...”
Testo

Adaptive Algebraic Reuse of Reordering in Cholesky Factorization with Dynamic Sparsity Pattern di Zarebavani, Behrooz, Kaufman, Danny M., Levin, David I. W., Dehnavi, Maryam Mehri

Sommario: “... decomposition algorithm to break down the dual graph of the input matrix into fine-grained subgraphs...”
Testo

CorrDiff: Adaptive Delay-aware Detector with Temporal Cue Inputs for Real-time Object Detection di Zhang, Xiang, Fu, Chenchen, Cui, Yufei, Yi, Lan, Sun, Yuyang, Wu, Weiwei, Liu, Xue

Sommario: “... detection algorithms in streaming scenarios, factoring in both latency and accuracy). It demonstrates robust...”
Testo

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping di Zhang, Muru, Mishra, Mayank, Zhou, Zhongzhu, Brandon, William, Wang, Jue, Kim, Yoon, Ragan-Kelley, Jonathan, Song, Shuaiwen Leon, Athiwaratkun, Ben, Dao, Tri

Sommario: “... distributed algorithms to efficiently scale. Various model parallelism strategies are used in multi-gpu...”
Testo

ExoSim 2: the new Exoplanet Observation Simulator applied to the Ariel space mission di Mugnai, Lorenzo V., Bocchieri, Andrea, Pascale, Enzo, Lorenzani, Andrea, Papageorgiou, Andreas

Sommario: “... architecture using Task classes, encapsulating simulation algorithms and functions. This flexible design...”
Testo

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis di Liu, Haoxiong, Sun, Jiacheng, Li, Zhenguo, Yao, Andrew C

Sommario: “...-search algorithm, enabling our construction of an efficient recursive proving (ERP) module to further...”
Testo

Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization di Maus, Natalie, Kim, Kyurae, Zeng, Yimeng, Jones, Haydn Thomas, Wan, Fangping, Torres, Marcelo Der Torossian, de la Fuente-Nunez, Cesar, Gardner, Jacob R.

Sommario: “... this void, we develop Multi-Objective Coverage Bayesian Optimization (MOCOBO), a BO algorithm for solving...”
Testo

VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images di Maqsood, Arooba, Ilyas, Zaid, Saleem, Afsah, Zhang, Erchuan, Suter, David, Raina, Parminder, Hodgson, Jonathan M., Schousboe, John T., Leslie, William D., Lewis, Joshua R., Gilani, Syed Zulqarnain

Sommario: “.... The abdominal aorta crop detection algorithm achieved 100% accuracy in validation and 96% accuracy (sensitivity...”
Testo

Transformers Boost the Performance of Decision Trees on Tabular Data across Sample Sizes di Jayawardhana, Mayuka, Renbo, Dooley, Samuel, Cherepanova, Valeriia, Wilson, Andrew Gordon, Hutter, Frank, White, Colin, Goldstein, Tom, Goldblum, Micah

Sommario: “... performance against numerous baselines and ensembling algorithms. We find that PFN-Boost achieves the best...”
Testo

Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework di Tian, Yuan, Zhou, Wenqi, Viscione, Michele, Dong, Hao, Kammer, David, Fink, Olga

Sommario: “... demonstrate that the pre-trained Sym-Q surpasses existing SR algorithms on the challenging SSDNC benchmark...”
Testo