Suchergebnisse - decoding (algorithm OR (algorithmics OR algorithmssics))

Graph Learning-based Fleet Scheduling for Urban Air Mobility under Operational Constraints, Varying Demand & Uncertainties von Paul, Steve, Witter, Jhoel, Chowdhury, Souma

Inhaltsangabe: “… Multi-head Attention-based decoder that uses the encoded information to compute the probability …”
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An Information Theoretic Approach to Interaction-Grounded Learning von Hu, Xiaoyan, Farnia, Farzan, Leung, Ho-fung

Inhaltsangabe: “… in the IGL-based RL problem. The VI-IGL framework learns a reward decoder using an information-based …”
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SmartCooper: Vehicular Collaborative Perception with Adaptive Fusion and Judger Mechanism von Zhang, Yuang, An, Haonan, Fang, Zhengru, Xu, Guowen, Zhou, Yuan, Chen, Xianhao, Fang, Yuguang

Inhaltsangabe: “… reconstructed by adaptive decoders. We evaluate the effectiveness of our proposed algorithm on the OpenCOOD …”
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BrainSLAM: SLAM on Neural Population Activity Data von Freud, Kipp, Lepora, Nathan, Jones, Matt W., O'Donnell, Cian

Inhaltsangabe: “… Simultaneous localisation and mapping (SLAM) algorithms are commonly used in robotic systems …”
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MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network von Huang, Yujun, Chen, Bin, Li, Naiqi, An, Baoyi, Xia, Shu-Tao, Wang, Yaowei

Inhaltsangabe: “… Conventional compressed sensing (CS) algorithms typically apply a uniform sampling rate …”
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SNE-RoadSegV2: Advancing Heterogeneous Feature Fusion and Fallibility Awareness for Freespace Detection von Feng, Yi, Ma, Yu, Chen, Qijun, Pitas, Ioannis, Fan, Rui

Inhaltsangabe: “… , (2) it incorporates both inter-scale and intra-scale skip connections into the decoder architecture …”
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Distributional Dataset Distillation with Subtask Decomposition von Qin, Tian, Deng, Zhiwei, Alvarez-Melis, David

Inhaltsangabe: “… the data using minimal sufficient per-class statistics and paired with a decoder, we distill dataset into a …”
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Process-and-Forward: Deep Joint Source-Channel Coding Over Cooperative Relay Networks von Bian, Chenghong, Shao, Yulin, Wu, Haotian, Ozfatura, Emre, Gunduz, Deniz

Inhaltsangabe: “… -of-the-art BPG image compression algorithm operating at the maximum achievable rate of conventional decode …”
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MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping von Chen, Jiacheng, Wu, Yuefan, Tan, Jiaqi, Ma, Hang, Furukawa, Yasutaka

Inhaltsangabe: “… This paper presents a vector HD-mapping algorithm that formulates the mapping as a tracking task …”
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Provably Secure Disambiguating Neural Linguistic Steganography von Qi, Yuang, Chen, Kejiang, Zeng, Kai, Zhang, Weiming, Yu, Nenghai

Inhaltsangabe: “… ambiguity problem, which arises when using language models based on subwords, leads to occasional decoding …”
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CoDa: Constrained Generation based Data Augmentation for Low-Resource NLP von Evuru, Chandra Kiran Reddy, Ghosh, Sreyan, Kumar, Sonal, S, Ramaneswaran, Tyagi, Utkarsh, Manocha, Dinesh

Inhaltsangabe: “… act as highly effective augmentations, and CoDa can achieve this without intricate decoding-time …”
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TSOM: Small Object Motion Detection Neural Network Inspired by Avian Visual Circuit von Hu, Pignge, Zhang, Xiaoteng, Li, Mengmeng, Zhu, Yingjie, Shi, Li

Inhaltsangabe: “… to be done on small object motion detection algorithms based on the avian visual system. In this paper, we …”
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Dual-Scale Transformer for Large-Scale Single-Pixel Imaging von Qu, Gang, Wang, Ping, Yuan, Xin

Inhaltsangabe: “… shrinkagethresholding algorithm (ISTA) into two alternative modules: efficient tensor gradient descent and hybrid …”
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UAV-Assisted Enhanced Coverage and Capacity in Dynamic MU-mMIMO IoT Systems: A Deep Reinforcement Learning Approach von Ghadaksaz, MohammadMahdi, Mahmood, Mobeen, Le-Ngoc, Tho

Inhaltsangabe: “… by incorporating an unmanned aerial vehicle (UAV) as a decode-and-forward (DF) relay between the base station (BS …”
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Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models von Zhao, Siyan, Israel, Daniel, Broeck, Guy Van den, Grover, Aditya

Inhaltsangabe: “… input prompt lengths, prefilling will incur a significant overhead on decoding time. In this work, we …”
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DAGER: Exact Gradient Inversion for Large Language Models von Petrov, Ivo, Dimitrov, Dimitar I., Baader, Maximilian, Müller, Mark Niklas, Vechev, Martin

Inhaltsangabe: “… , the first algorithm to recover whole batches of input text exactly. DAGER leverages the low-rank structure …”
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Offline Regularised Reinforcement Learning for Large Language Models Alignment von Richemond, Pierre Harvey, Tang, Yunhao, Guo, Daniel, Calandriello, Daniele, Azar, Mohammad Gheshlaghi, Rafailov, Rafael, Pires, Bernardo Avila, Tarassov, Eugene, Spangher, Lucas, Ellsworth, Will, Severyn, Aliaksei, Mallinson, Jonathan, Shani, Lior, Shamir, Gil, Joshi, Rishabh, Liu, Tianqi, Munos, Remi, Piot, Bilal

Inhaltsangabe: “… algorithms that do not require pairwise preferences. DRO uses a simple mean-squared objective that can …”
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LiSD: An Efficient Multi-Task Learning Framework for LiDAR Segmentation and Detection von Xu, Jiahua, Zuo, Si, Wei, Chenfeng, Zhou, Wei

Inhaltsangabe: “… remarkable performance gains in comparison to conventional algorithms. However, the segmentation …”
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Towards Continuous Reuse of Graph Models via Holistic Memory Diversification von Qiao, Ziyue, Xiao, Junren, Sun, Qingqiang, Xiao, Meng, Luo, Xiao, Xiong, Hui

Inhaltsangabe: “… an efficient greedy algorithm for sampling representative training nodes from graphs into memory buffers after …”
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Convex-hull Estimation using XPSNR for Versatile Video Coding von Menon, Vignesh V, Helmrich, Christian R., Wieckowski, Adam, Bross, Benjamin, Marpe, Detlev

Inhaltsangabe: “… by an encoding time reduction of 44.43% and a decoding time reduction of 65.46%. This shift towards XPSNR as a …”
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