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

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

Table of Contents: “… 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 by Liu, Junkang, Shang, Fanhua, Liu, Hongying, Tian, Yuxuan, Liu, Yuanyuan, Liu, Jin, Zhu, Kewen, Lin, Zhouchen

Table of Contents: “… \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 by Weitekamp, Daniel

Table of Contents: “… 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 by Huang, Yushi, Wang, Zining, Yuan, Zhihang, Ding, Yifu, Gong, Ruihao, Guo, Jinyang, Liu, Xianglong, Zhang, Jun

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

Table of Contents: “… 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 by Adamopoulos, Dionysios, Poulopoulou, Anastasia, Goumas, Georgios, Giannoula, Christina

Table of Contents: “… 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 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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