Search Results - coding (algorithm OR (algorithmics OR (Algorithmssics OR algorithmssics)))

MICCAI STS 2024 Challenge: Semi-Supervised Instance-Level Tooth Segmentation in Panoramic X-ray and CBCT Images by 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

Table of Contents: “…) 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 by Mitra, Purbesh, Ulukus, Sennur

Table of Contents: “… 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 by Zhang, Chunhui, Liu, Li, Zhang, Zhipeng, Wang, Yong, Wen, Hao, Zhou, Xi, Ge, Shiming, Wang, Yanfeng

Table of Contents: “… 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 by Yang, Shenzhi, Zhu, Guangcheng, Zheng, Xing, MA, Yingfan, Chen, Zhongqi, Song, Bowen, Wang, Weiqiang, Zhao, Junbo, Chen, Gang, Wang, Haobo

Table of Contents: “… 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 by Zhou, Yaoyun, Wang, Qian

Table of Contents: “… 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 by Hosseini, Hadi, Mandal, Debmalya, Puhan, Amrit

Table of Contents: “… 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 by Wang, Dawei, Zhou, Chengming, Zhao, Di, Liu, Xinyuan, Ma, Marci Chi, Ushaw, Gary, Davison, Richard

Table of Contents: “… 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 by Koike, Tomoki, Mohan, Prakash, de Frahan, Marc T. Henry, Bessac, Julie, Qian, Elizabeth

Table of Contents: “… 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 by Zhang, Jiahao, He, Zifan, Fraser, Nicholas, Blott, Michaela, Sun, Yizhou, Cong, Jason

Table of Contents: “… 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 by 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

Table of Contents: “…'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 by Bhattacharya, Rishabh, Manwani, Naresh

Table of Contents: “… 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 by Agarwal, Manan, Vink, Jacco, Gu, Liyi, Plucinsky, Paul P., Bamba, Aya, Sato, Toshiki, Rogantini, Daniele, Ohshiro, Yuken

Table of Contents: “… 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 by Nasiri-Sarvi, Ali, Nguyen, Anh Tien, Rivaz, Hassan, Samaras, Dimitris, Hosseini, Mahdi S.

Table of Contents: “… 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 by Barman, Pronob Kumar, Barman, Pronoy Kumar

Table of Contents: “…Predictive policing systems that direct patrol resources based on algorithmically generated crime…”
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ProHunter: A Comprehensive APT Hunting System Based on Whole-System Provenance by Qiu, Xuebo, Lv, Mingqi, Zhang, Yimei, Zhu, Tiantian, Chen, Tieming

Table of Contents: “… strategies. To segment APT behaviors, a heuristic-driven threat graph sampling algorithm is designed, which…”
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Cyclic light variations and accretion disk evolution in the LMC eclipsing binary OGLE-LMC-DPV-062 by Mennickent, R. E., Djurašević, G., Rosales, J. A., Garcés, J., Petrović, J., Schleicher, D. R. G., Soszyński, I.

Table of Contents: “… an optimized simplex algorithm to derive the best-fitting parameters of the stars, orbit, and disk. The MESA…”
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High-Precision Computation and PSLQ Identification of Stokes Multipliers for Anharmonic Oscillators by Zhou, Jian

Table of Contents: “… acceleration, and the PSLQ integer relation algorithm to discover exact closed-form expressions for fundamental…”
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Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving by Huang, Zilin, Wan, Zhengyang, Sheng, Zihao, Wang, Boyue, You, Junwei, Leng, Yue, Chen, Sikai

Table of Contents: “… algorithms across different reward paradigms and validate the contribution of each module. Zero-shot…”
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ExplainS2A: Explainable Spectral-Spatial Duality Model for Fast Transforming Sentinel-2 Image to AVIRIS-Level Hyperspectral Image by Lin, Chia-Hsiang, Leng, Zi-Chao

Table of Contents: “… interpretability and operates as a linear-time algorithm. Remarkably, it can process a million-scale Sentinel-2…”
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ELSA: Exact Linear-Scan Attention for Fast and Memory-Light Vision Transformers by Hsu, Chih-Chung, Ma, Xin-Di, Liao, Wo-Ting, Lee, Chia-Ming

Table of Contents: “…}, an algorithmic reformulation of online softmax attention that (i)~preserves exact softmax semantics in real…”
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