標題: Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable [打印本頁] 作者: Flange 時間: 2025-3-21 20:03
書目名稱Neural Information Processing影響因子(影響力)
書目名稱Neural Information Processing影響因子(影響力)學科排名
書目名稱Neural Information Processing網絡公開度
書目名稱Neural Information Processing網絡公開度學科排名
書目名稱Neural Information Processing被引頻次
書目名稱Neural Information Processing被引頻次學科排名
書目名稱Neural Information Processing年度引用
書目名稱Neural Information Processing年度引用學科排名
書目名稱Neural Information Processing讀者反饋
書目名稱Neural Information Processing讀者反饋學科排名
作者: CRUDE 時間: 2025-3-21 21:36 作者: nugatory 時間: 2025-3-22 01:46
Qiming Zhang,Tianxi Liao,Tongyu Zhu,Leilei Sun,Weifeng Lver, .Software Exorcism. discusses tools and techniques for effective and aggressive debugging, gives optimization strategies that appeal to all levels of programmers, and presents in-depth treatments of technical issues with honest assessments that are not biased toward proprietary solutions. .978-1-4302-5423-2978-1-4302-0788-7作者: 泛濫 時間: 2025-3-22 06:02 作者: 無力更進 時間: 2025-3-22 12:46 作者: Glycogen 時間: 2025-3-22 15:59 作者: 陳列 時間: 2025-3-22 18:29 作者: periodontitis 時間: 2025-3-22 22:59 作者: radiograph 時間: 2025-3-23 01:28 作者: 改良 時間: 2025-3-23 09:01 作者: ARK 時間: 2025-3-23 13:02
Binxia Yang,Xudong Luo,Kaili Sun,Michael Y. Luorchase, and avoidance when risks are simply too high. Software failure risk assessment can provide the information to analyze functionality, financial, and project risks associated with failure due to faults in software. This information can modify the development process or suggest changes to syste作者: Sedative 時間: 2025-3-23 16:20 作者: 我不重要 時間: 2025-3-23 21:46
Hu Zhang,Kunrui Li,Guangjun Zhang,Yong Guan,Ru Liat we can only claim to have a truly sCientific approach. and so justify the description software engineering. when we are able to measure the attributes of process and product. It is still common to find software development methods recommended to users on purely anecdotal grounds. This is not good enough. R978-3-540-55212-3978-3-642-84725-7作者: 大方一點 時間: 2025-3-24 02:10 作者: 捐助 時間: 2025-3-24 02:52 作者: 確定的事 時間: 2025-3-24 08:54 作者: 白楊魚 時間: 2025-3-24 12:08
Event-Aware Document-Level Event Extraction via?Multi-granularity Event Encoderhen utilized for subsequent event record generation, thereby improving the accuracy of argument classification. Our proposed model’s effectiveness is demonstrated through experimental results obtained from a large Chinese financial dataset.作者: 壯觀的游行 時間: 2025-3-24 18:05
A Deep Joint Model of?Multi-scale Intent-Slots Interaction with?Second-Order Gate for?SLUaluable information through the gate with second-order weights, reduces the noise information of fusion, accelerates model convergence, and alleviates model overfitting. Experiments on two public datasets demonstrate that our model outperforms the baseline and achieves state-of-the-art performance c作者: Maximizer 時間: 2025-3-24 21:47
Graph Attention Network Knowledge Graph Completion Model Based on?Relational Aggregationl parameters, so that the model can extract richer relational information. Finally, the decoder chooses the convolutional network ConvR. We conduct experiments on standard datasets such as FB15k-237 and WN18RR, and the experimental results confirm the effectiveness of the model, while also achieving作者: aqueduct 時間: 2025-3-25 00:43 作者: 閃光你我 時間: 2025-3-25 04:47 作者: Defense 時間: 2025-3-25 07:53
Joint Regularization Knowledge Distillationtween networks are reduced when training with a central example. Teacher and student networks will become more similar as a result of joint training. Extensive experimental results on benchmark datasets such as CIFAR-10, CIFAR-100, and Tiny-ImagNet show that JRKD outperforms many advanced distillati作者: Dissonance 時間: 2025-3-25 13:00
Dual-Branch Contrastive Learning for?Network Representation Learningis proposed, in which the two generated views are compared with the original graph separately, and the joint optimization method is used to continuously update the two views, allowing the model to learn more discriminative feature representations. The proposed method was evaluated on three datasets,作者: gnarled 時間: 2025-3-25 17:05
Multi-granularity Contrastive Siamese Networks for?Abstractive Text Summarizationcy between the representations of the augmented text pairs through a Siamese network. We conduct empirical experiments on the CNN/Daily Mail and XSum datasets. Compared to many existing benchmarks, the results validate the effectiveness of our model.作者: Seminar 時間: 2025-3-25 23:35
Joint Entity and?Relation Extraction for?Legal Documents Based on?Table Fillingsional table that can express the relation between word pairs for each relation separately and designing three table-filling strategies to decode the triples under the corresponding relations. The experimental results on the information extraction dataset in “CAIL2021” show that the proposed method 作者: Arboreal 時間: 2025-3-26 00:16
Dy-KD: Dynamic Knowledge Distillation for?Reduced Easy Examples the experimental results show that: (1) Use the curriculum strategy to discard easy examples to prevent the model’s fitting ability from being consumed by fitting easy examples. (2) Giving hard and easy examples varied weight so that the model emphasizes learning hard examples, which can boost stud作者: 儀式 時間: 2025-3-26 04:54 作者: expire 時間: 2025-3-26 10:19
Haifeng Qing,Ning Jiang,Jialiang Tang,Xinlei Huang,Wengqing Wuense benefit to all readers who are interested in starting research in this area. In addition, it offers experienced researchers a valuable overview of the latest work in this area..978-981-10-8714-1978-981-10-8715-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 作者: interior 時間: 2025-3-26 14:05 作者: APO 時間: 2025-3-26 19:39
Jinta Weng,Donghao Li,Yifan Deng,Jie Zhang,Yue Hu,Heyan Huang作者: 掃興 時間: 2025-3-26 22:52
PBTR: Pre-training and?Bidirectional Semantic Enhanced Trajectory Recoveryental factors often result in missing track records, significantly impacting the trajectory data quality. It is a fundamental task to restore the missing vehicle tracks within the traffic network structure. Existing research has attempted to address this issue through the construction of neural netw作者: Servile 時間: 2025-3-27 04:58
Event-Aware Document-Level Event Extraction via?Multi-granularity Event Encoder the prior research has largely concentrated on sentence-level event extraction (SEE), while disregarding the increasing requirements for document-level event extraction (DEE) in real-world scenarios. The latter presents two significant challenges, namely the arguments scattering problem and the mul作者: Afflict 時間: 2025-3-27 05:49 作者: moribund 時間: 2025-3-27 12:45 作者: 燒烤 時間: 2025-3-27 17:38
Instance-Aware and?Semantic-Guided Prompt for?Few-Shot Learning in?Large Language ModelstGPT). However, current prompt learning methods usually use a unified template for the same tasks, and the template is difficult to capture significant information from different instances. To integrate the semantic attention dynamically on the instance level, We propose ISPrompt, an .nstance-.emant作者: 迅速成長 時間: 2025-3-27 19:38 作者: patriarch 時間: 2025-3-27 22:58
SODet: A LiDAR-Based Object Detector in?Bird’s-Eye Views from a bird’s-eye view perspective remains challenging. To address this issue, the paper presents ., an efficient single-stage 3D object detector designed to enhance the perception of small objects like pedestrians and cyclists. SODet incorporates several key components and techniques. To capture 作者: 沒有準備 時間: 2025-3-28 05:03
Landmark-Assisted Facial Action Unit Detection with?Optimal Attention and?Contrastive Learningtention-based landmark features as well as contrastive learning to improve the performance of AU detection. Firstly, the backbone is a weakly-supervised algorithm since AU datasets in the wild are scarce and the utilization of other public datasets can capture robust basic facial features and landma作者: 極小 時間: 2025-3-28 07:04
Multi-scale Local Region-Based Facial Action Unit Detection with?Graph Convolutional Networks at different scales, and may interact with each other. However, most existing methods fail to extract the multi-scale feature at local facial region, or consider the AU relationship in the classifiers. In this paper, we propose a novel multi-scale local region-based facial AU detection framework w作者: MAOIS 時間: 2025-3-28 14:05 作者: sulcus 時間: 2025-3-28 18:19 作者: Biofeedback 時間: 2025-3-28 21:04
Improving Out-of-Distribution Detection with?Margin-Based Prototype Learningntly improved OOD detection performance by optimizing the representation space. However, practical scenarios present a challenge where OOD samples near class boundaries may overlap with in-distribution samples in the feature space, resulting in misclassification, and few methods have considered the 作者: Favorable 時間: 2025-3-29 01:37
Text-to-Image Synthesis with?Threshold-Equipped Matching-Aware GANtering inaccurate negative samples, the discriminator can more accurately determine whether the generator has generated the images correctly according to the descriptions. In addition, to enhance the discriminative model’s ability to discriminate and capture key semantic information, a word fine-gra作者: 不斷的變動 時間: 2025-3-29 06:49 作者: GORGE 時間: 2025-3-29 10:51
Dual-Branch Contrastive Learning for?Network Representation Learning network representation learning. However, existing GCL-based network representation methods mostly use a single-branch contrastive approach, which makes it difficult to learn deeper semantic relationships and is easily affected by noisy connections during the process of obtaining global structural 作者: 跟隨 時間: 2025-3-29 14:34
Multi-granularity Contrastive Siamese Networks for?Abstractive Text Summarizationformative summaries. Sequence-to-Sequence (Seq2 Seq) models have achieved good results in abstractive text summarization in recent years. However, such models are often sensitive to noise information in the training data and exhibit fragility in practical applications. To enhance the denoising abili作者: 四目在模仿 時間: 2025-3-29 18:33
Joint Entity and?Relation Extraction for?Legal Documents Based on?Table Fillingstructured triplets from rich unstructured legal texts. However, the existing methods for joint entity relation extraction in legal judgment documents often lack domain-specific knowledge, and are difficult to effectively solve the problem of entity overlap in legal texts. To address these issues, w作者: 抒情短詩 時間: 2025-3-29 21:40 作者: Countermand 時間: 2025-3-30 03:14 作者: craven 時間: 2025-3-30 06:31 作者: LEER 時間: 2025-3-30 08:32 作者: Lipoprotein 時間: 2025-3-30 14:17 作者: 昏睡中 時間: 2025-3-30 16:58
Zhixiang Zhang,Shan Jiangels of programmers.Honest assessments that are not biased to.YOU HAVE TO OWN THIS BOOK!..Software Exorcism: A Handbook for Debugging and Optimizing Legacy Code. takes an unflinching, no bulls$&# look at behavioral problems in the software engineering industry, shedding much-needed light on the socia作者: fetter 時間: 2025-3-30 23:52
Junkang Shi,Ming Li,Jing Zhaoiation. Software, in particular, is embedded in most technical and electronic products, ranging from massive machines such as airplanes to lightweight devices such as mobile phones. Software applications are essential for the proper functioning of these products and their associated service offering作者: Ondines-curse 時間: 2025-3-31 01:00
Jin Pang,Yue Zhouiation. Software, in particular, is embedded in most technical and electronic products, ranging from massive machines such as airplanes to lightweight devices such as mobile phones. Software applications are essential for the proper functioning of these products and their associated service offering作者: 巨碩 時間: 2025-3-31 08:35 作者: Spinous-Process 時間: 2025-3-31 13:05 作者: Grandstand 時間: 2025-3-31 16:19
Kejun Zhang,Shaofei Xu,Pengcheng Li,Duo Zhang,Wenbin Wang,Bing Zouan relations (Boehm and Ross, 1989). The software project manager simultaneously satisfies several constituencies (users, customers, developers, maintainers, and management) whose desires frequently create fundamental conflicts that often result in functional, project, political, financial, technica作者: 驚呼 時間: 2025-3-31 19:42 作者: Delectable 時間: 2025-3-31 23:11
Junzhuo Liu,Yuanyuan Ren,Weiwei Li,Yuchen Zheng,Chenyang Wangan relations (Boehm and Ross, 1989). The software project manager simultaneously satisfies several constituencies (users, customers, developers, maintainers, and management) whose desires frequently create fundamental conflicts that often result in functional, project, political, financial, technica作者: 正式演說 時間: 2025-4-1 02:46 作者: 輕快來事 時間: 2025-4-1 06:57
Haifeng Qing,Ning Jiang,Jialiang Tang,Xinlei Huang,Wengqing Wutent.Presents an empirical study on learning models.This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of s作者: 火車車輪 時間: 2025-4-1 13:37
Hu Zhang,Junnan Cao,Kunrui Li,Yujie Wang,Ru Litent.Presents an empirical study on learning models.This book focuses on exploring the use of software fault prediction in building reliable and robust software systems. It is divided into the following chapters: Chapter 1 presents an introduction to the study and also introduces basic concepts of s
