Risultati della ricerca - coding ((algorithmicsicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

Probabilistic Hyper-Graphs using Multiple Randomly Masked Autoencoders for Semi-supervised Multi-modal Multi-task Learning di Mihai-Cristian, Pîrvu, Leordeanu, Marius

Sommario: “... the distribution of hyper-edges on each forward pass. Additionally, the model adapts the standard MAE algorithm...”
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FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models di Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Sommario: “... \underline{AdamW} algorithm, called \texttt{FedAdamW}, for training and fine-tuning various large models...”
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CORGI: Efficient Pattern Matching With Quadratic Guarantees di Weitekamp, Daniel

Sommario: “... automatically generate rules from example-driven induction or code synthesis, they can easily produce worst-case...”
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MoDES: Accelerating Mixture-of-Experts Multimodal Large Language Models via Dynamic Expert Skipping di Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

Sommario: “... the optimal thresholds, we introduce a frontier search algorithm that exploits monotonicity properties...”
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Solving Spatial Supersensing Without Spatial Supersensing di Udandarao, Vishaal, Karthik, Shyamgopal, Nath, Surabhi S., Hochlehnert, Andreas, Bethge, Matthias, Prabhu, Ameya

Sommario: “... object-count predictions unchanged; instead, Cambrian-S inference algorithm relies largely on a shortcut...”
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Spira: Exploiting Voxel Data Structural Properties for Efficient Sparse Convolution in Point Cloud Networks di Adamopoulos, Dionysios, Poulopoulou, Anastasia, Goumas, Georgios, Giannoula, Christina

Sommario: “... for GPUs. Spira proposes (i) a high-performance one-shot search algorithm that builds the kernel map...”
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MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images di Wang, Yaqi, Li, Zhi, Wu, Chengyu, Liu, Jun, Zhang, Yifan, Ni, Jiaxue, Luo, Qian, Chen, Jialuo, Zhang, Hongyuan, Liu, Jin, Han, Can, Fu, Kaiwen, Ji, Changkai, Cai, Xinxu, Hao, Jing, Zheng, Zhihao, Xu, Shi, Chen, Junqiang, Zhang, Qianni, Qian, Dahong, Wang, Shuai, Zhou, Huiyu

Sommario: “...) registered teams. To ensure algorithmic excellence and full transparency, we rigorously evaluated the valid...”
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Semantic Soft Bootstrapping: Long Context Reasoning in LLMs without Reinforcement Learning di Mitra, Purbesh, Ulukus, Sennur

Sommario: “... optimization (GRPO), which is a commonly used RLVR algorithm. Our code is available at https://github.com...”
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How Far are Modern Trackers from UAV-Anti-UAV? A Million-Scale Benchmark and New Baseline di Zhang, Chunhui, Liu, Li, Zhang, Zhipeng, Wang, Yong, Wen, Hao, Zhou, Xi, Ge, Shiming, Wang, Yanfeng

Sommario: “... of 50 modern deep tracking algorithms demonstrates that there is still significant room for improvement...”
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TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning di Yang, Shenzhi, Zhu, Guangcheng, Zheng, Xing, MA, Yingfan, Chen, Zhongqi, Song, Bowen, Wang, Weiqiang, Zhao, Junbo, Chen, Gang, Wang, Haobo

Sommario: “... an effective policy optimization algorithm, TraPO, that identifies reliable unlabeled samples by matching...”
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HERO-Sign: Hierarchical Tuning and Efficient Compiler-Time GPU Optimizations for SPHINCS+ Signature Generation di Zhou, Yaoyun, Wang, Qian

Sommario: “... algorithm that adapts fusion schemes to different GPU architectures. To further improve performance, HERO...”
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SP-Rank: A Dataset for Ranked Preferences with Secondary Information di Hosseini, Hadi, Mandal, Debmalya, Puhan, Amrit

Sommario: “... algorithms that leverage both first-order preferences and second-order predictions in ranking tasks. Each...”
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TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents di Wang, Dawei, Zhou, Chengming, Zhao, Di, Liu, Xinyuan, Ma, Marci Chi, Ushaw, Gary, Davison, Richard

Sommario: “... evaluate two classic reinforcement learning algorithms: Ape-X DQN and PPO. By offering a lightweight...”
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Streaming Operator Inference for Model Reduction of Large-Scale Dynamical Systems di Koike, Tomoki, Mohan, Prakash, de Frahan, Marc T. Henry, Bessac, Julie, Qian, Elizabeth

Sommario: “... access to the underlying code or full model operators, i.e., non-intrusively. Traditional OpInf operates...”
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FlexLLM: Composable HLS Library for Flexible Hybrid LLM Accelerator Design di Zhang, Jiahao, He, Zifan, Fraser, Nicholas, Blott, Michaela, Sun, Yizhou, Cong, Jason

Sommario: “... lines of code. The system includes: (1) a stage-customized accelerator with hardware-efficient...”
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Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning di Kim, Moo Jin, Gao, Yihuai, Lin, Tsung-Yi, Lin, Yen-Chen, Ge, Yunhao, Lam, Grace, Liang, Percy, Song, Shuran, Liu, Ming-Yu, Finn, Chelsea, Gu, Jinwei

Sommario: “...'s pretrained priors and core learning algorithm to capture complex action distributions. Additionally, Cosmos...”
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EdgeMask-DG*: Learning Domain-Invariant Graph Structures via Adversarial Edge Masking di Bhattacharya, Rishabh, Manwani, Naresh

Sommario: “... algorithm where an edge masker learns to find worst-case continuous masks subject to a sparsity constraint...”
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Mapping plasma properties of Cassiopeia A with XRISM/Resolve: a Bayesian analysis via UltraSPEX di Agarwal, Manan, Vink, Jacco, Gu, Liyi, Plucinsky, Paul P., Bamba, Aya, Sato, Toshiki, Rogantini, Daniele, Ohshiro, Yuken

Sommario: “... Bayesian framework that couples the SPEX plasma code with the UltraNest nested-sampling algorithm, yielding...”
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MonoLoss: A Training Objective for Interpretable Monosemantic Representations di Nasiri-Sarvi, Ali, Nguyen, Anh Tien, Rivaz, Hassan, Samaras, Dimitris, Hosseini, Mahdi S.

Sommario: “... training and evaluation. We study a recent MonoScore metric and derive a single-pass algorithm...”
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Unmasking Algorithmic Bias in Predictive Policing: A GAN-Based Simulation Framework with Multi-City Temporal Analysis di Barman, Pronob Kumar, Barman, Pronoy Kumar

Sommario: “...Predictive policing systems that direct patrol resources based on algorithmically generated crime...”
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