LSTM auto encoder algorithm illustration. by Hao Zhang (15339)

“…Firstly, the log parsing algorithm is used to parse the logs. Then, the feature extraction algorithm, which combines Long Short-Term Memory and Autoencoder-Decoder, is applied to extract features. …”

Schematic overview of the LDD nucleation algorithm. by Marco Saltini (22209094)

Federated averaging algorithm. by Yan Qin (118276)

Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

Hair removal preprocessing using the DullRazor algorithm before image generation. by Mujung Kim (22367223)

Search algorithm performance comparison. by Zhaohui Du (414105)

On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization by Jiancong Xiao (22265935)

“…However, we argue that the predominant approach for aligning LLMs with human preferences through a reward model—reinforcement learning from human feedback (RLHF)—suffers from an inherent algorithmic bias due to its Kullback–Leibler-based regularization in optimization. …”

Comparative results with existing representative algorithms. by Yan Qin (118276)

Flowchart of algorithm principles. by Wenjuan Zhou (115285)

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Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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Parameters of ML algorithms. by Md. Maeen Molla (20827041)

Decompression algorithm for the proposed HSCRC encoding. by R. Sakthivel (2589547)

UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. by Fatemeh Keikha (20917848)

Horizontal comparison of models. by Hui Yang (91136)

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Indicator analysis of integrated models. by Hui Yang (91136)

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Comparison of deep partitioning models. by Hui Yang (91136)

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CNOT encoded features and CZ encoded features. by Danish ul Khairi (19660534)

“…The experimental results align with the theoretical analysis: the CZ-based NNQEv2 model, when compared to the CNOT-based NNQEv1, consistently showed more stable training dynamics and yielded tighter confidence intervals in cross-validation. …”

Schematic diagram of the pillar encoding. by Xinpeng Yao (18882573)

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The workflow of Algorithm 2 with the example in by Badhan Das (7434362)

Adaptive model BD rate analysis. by Hui Yang (91136)

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