Suchergebnisse - (coding OR Decoding) ((algorithmicsicsics OR (algorithm OR algorithm)) OR (algorithm OR algorithm))

FedCAR: Cross-client Adaptive Re-weighting for Generative Models in Federated Learning von Kim, Minjun, Kim, Minjee, Jeong, Jinhoon

Inhaltsangabe: “… and conventional FL algorithms. Our code is available at https://github.com/danny0628/FedCAR.  …”
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LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning von Ravichandran, Bharadwaj, Lynch, Alexander, Brockman, Sarah, RichardWebster, Brandon, Du, Dawei, Hoogs, Anthony, Funk, Christopher

Inhaltsangabe: “… recent progress in terms of the availability of state-of-the-art algorithms and datasets. Frameworks have …”
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Faster quantum chemistry simulations on a quantum computer with improved tensor factorization and active volume compilation von Caesura, Athena, Cortes, Cristian L., Pol, William, Sim, Sukin, Steudtner, Mark, Anselmetti, Gian-Luca R., Degroote, Matthias, Moll, Nikolaj, Santagati, Raffaele, Streif, Michael, Tautermann, Christofer S.

Inhaltsangabe: “… algorithmic advancements such as qubitization and Tensor Hypercontraction (THC) have significantly reduced …”
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LiFT: Lightweight, FPGA-tailored 3D object detection based on LiDAR data von Lis, Konrad, Kryjak, Tomasz, Gorgon, Marek

Inhaltsangabe: “… This paper presents LiFT, a lightweight, fully quantized 3D object detection algorithm for LiDAR …”
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Superimposed Pilot-Based OTFS: Will It Work? von Kanazawa, Yuta, Iimori, Hiroki, Pradhan, Chandan, Malomsoky, Szabolcs, Ishikawa, Naoki

Inhaltsangabe: “… on the SP-based OTFS system in channel coded scenarios, we propose a novel pilot assignment scheme …”
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Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls von Wang, Ante, Song, Linfeng, Tian, Ye, Yu, Dian, Mi, Haitao, Duan, Xiangyu, Tu, Zhaopeng, Su, Jinsong, Yu, Dong

Inhaltsangabe: “… Recent advancements in tree search algorithms guided by verifiers have significantly enhanced …”
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Leveraging Qubit Loss Detection in Fault Tolerant Quantum Algorithms von Baranes, Gefen, Cain, Madelyn, Ataides, J. Pablo Bonilla, Bluvstein, Dolev, Sinclair, Josiah, Vuletic, Vladan, Zhou, Hengyun, Lukin, Mikhail D.

Inhaltsangabe: “… and correct loss errors in logical algorithms and leverage such loss information in decoding. Considering …”
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PDX: A Data Layout for Vector Similarity Search von Kuffo, Leonardo, Krippner, Elena, Boncz, Peter

Inhaltsangabe: “… distance kernels on standard horizontal vector storage (avg 40% faster), only relying on scalar code …”
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LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection von Yu, YiMing, Zutty, Jason

Inhaltsangabe: “… modify model source code for image classification algorithms on CIFAR data and intelligently guide …”
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A Tale of Two Learning Algorithms: Multiple Stream Random Walk and Asynchronous Gossip von Gholami, Peyman, Seferoglu, Hulya

Inhaltsangabe: “… Although gossip and random walk-based learning algorithms are widely known for decentralized …”
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Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables von Chen, Qixu, He, Yeye, Wong, Raymond Chi-Wing, Cui, Weiwei, Ge, Song, Zhang, Haidong, Zhang, Dongmei, Chaudhuri, Surajit

Inhaltsangabe: “… algorithms have been developed to detect and repair data errors in tables, existing algorithms predominantly …”
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Multi-goal Rapidly Exploring Random Tree with Safety and Dynamic Constraints for UAV Cooperative Path Planning von Khuat, Thu Hang, Bui, Duy-Nam, Nguyen, Hoa TT., Trinh, Mien L., Nguyen, Minh T., Phung, Manh Duong

Inhaltsangabe: “… for cooperative tasks. The source code of the algorithm is available at https://github.com/duynamrcv/multi …”
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Exposing the Copycat Problem of Imitation-based Planner: A Novel Closed-Loop Simulator, Causal Benchmark and Joint IL-RL Baseline von Zhou, Hui, Shi, Shaoshuai, Li, Hongsheng

Inhaltsangabe: “… advantages over traditional optimization-based planning algorithms. These advantages include fewer manually …”
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LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? von Zheng, Zihan, Cheng, Zerui, Shen, Zeyu, Zhou, Shang, Liu, Kaiyuan, He, Hansen, Li, Dongruixuan, Wei, Stanley, Hao, Hangyi, Yao, Jianzhu, Sheng, Peiyao, Wang, Zixuan, Chai, Wenhao, Korolova, Aleksandra, Henderson, Peter, Arora, Sanjeev, Viswanath, Pramod, Shang, Jingbo, Xie, Saining

Inhaltsangabe: “… programming. Drawing on knowledge from a group of medalists in international algorithmic contests, we revisit …”
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Zero-Shot Neural Architecture Search with Weighted Response Correlation von Jing, Kun, Chen, Luoyu, Xu, Jungang, Tai, Jianwei, Wang, Yiyu, Li, Shuaimin

Inhaltsangabe: “… in architecture search. Experimental results on architecture search show that our zero-shot NAS algorithm …”
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Achievable Rates of Nanopore-based DNA Storage von McBain, Brendon, Viterbo, Emanuele

Inhaltsangabe: “… using a tractable channel model that does not rely on a basecalling algorithm. Specifically, the noisy …”
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Distributional Sensitivity Analysis: Enabling Differentiability in Sample-Based Inference von Chuang, Pi-Yueh, Attia, Ahmed, Constantinescu, Emil

Inhaltsangabe: “… computational cost at the cost of some accuracy. We additionally provide four second-order numerical algorithms …”
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Auditing Approximate Machine Unlearning for Differentially Private Models von Gu, Yuechun, He, Jiajie, Chen, Keke

Inhaltsangabe: “… applying approximate unlearning algorithms. We propose the privacy criteria for unlearned and retained …”
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GPU-Accelerated Loopy Belief Propagation for Program Analysis von Feng, Haoyu, Zhang, Xin

Inhaltsangabe: “… Loopy Belief Propagation (LBP) is a widely used approximate inference algorithm in probabilistic …”
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XQC: Well-conditioned Optimization Accelerates Deep Reinforcement Learning von Palenicek, Daniel, Vogt, Florian, Watson, Joe, Posner, Ingmar, Peters, Jan

Inhaltsangabe: “… Sample efficiency is a central property of effective deep reinforcement learning algorithms. Recent …”
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