標(biāo)題: Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indr? ?liobait? Confer [打印本頁] 作者: 恰當(dāng) 時間: 2025-3-21 17:55
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track影響因子(影響力)
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track影響因子(影響力)學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track網(wǎng)絡(luò)公開度
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track被引頻次
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track被引頻次學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track年度引用
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track年度引用學(xué)科排名
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track讀者反饋
書目名稱Machine Learning and Knowledge Discovery in Databases. Research Track讀者反饋學(xué)科排名
作者: Gullible 時間: 2025-3-21 21:01
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/m/image/620538.jpg作者: 緯線 時間: 2025-3-22 02:51 作者: 負擔(dān) 時間: 2025-3-22 07:39
Machine Learning and Knowledge Discovery in Databases. Research Track978-3-031-70359-1Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 起草 時間: 2025-3-22 10:35
0302-9743 owledge Discovery in Databases, ECML PKDD 2024, held in Vilnius, Lithuania, in September 2024...?..The papers presented in these proceedings are from the following three conference tracks: -..Research Track:.?The 202 full papers presented here, from this track, were carefully reviewed and selected f作者: 寬容 時間: 2025-3-22 14:51 作者: amphibian 時間: 2025-3-22 19:22 作者: rectum 時間: 2025-3-22 21:59 作者: 嫌惡 時間: 2025-3-23 02:26
Linear Modeling of?the?Adversarial Noise Space these universal directions and the associated adversarial attacks. Empirical analyses conducted with the CIFAR-10 and ImageNet datasets show that LIMANS (i) enables crafting specific and robust adversarial attacks with high probability, (ii) provides a deeper understanding of DNN flaws, and (iii) shows significant ability in transferability.作者: 推延 時間: 2025-3-23 07:30
Novel Node Category Detection Under Subpopulation Shiftction mechanism, RECO-SLIP addresses the dual challenges of resilience against subpopulation shifts and the effective exploitation of graph structure. Our extensive empirical evaluation across multiple graph datasets demonstrates the superior performance of RECO-SLIP over existing methods. The experimental code is available at: ..作者: 貪婪的人 時間: 2025-3-23 09:53
A Theoretically Grounded Extension of?Universal Attacks from?the?Attacker’s Viewpointformance of state-of-the-art gradient-based universal perturbation. As evidenced by our experiments, these novel universal perturbations result in more interpretable, diverse, and transferable attacks.作者: Foreknowledge 時間: 2025-3-23 14:12 作者: AND 時間: 2025-3-23 20:57 作者: 鋼筆尖 時間: 2025-3-24 00:02 作者: ATOPY 時間: 2025-3-24 05:36
Walking Noise: On Layer-Specific Robustness of?Neural Architectures Against Noisy Computations and?Aorkload. We propose a methodology called . which injects layer-specific?noise to measure the robustness and to provide insights on the learning dynamics. In more detail, we investigate the implications of additive, multiplicative and mixed noise for different classification tasks and model architect作者: 上坡 時間: 2025-3-24 09:19
KAFè: Kernel Aggregation for?FEderatedel .ggregation for .derated Learning. KAFè leverages Kernel Density Estimation (KDE) to construct a novel classification layer for the global model, drawing upon the estimated weight distributions of the individual classifiers. We conducted several experiments on image and text datasets to evaluate 作者: transplantation 時間: 2025-3-24 12:28 作者: Obstruction 時間: 2025-3-24 15:39 作者: 撕裂皮肉 時間: 2025-3-24 20:39
Low-Hanging Fruit: Knowledge Distillation from?Noisy Teachers for?Open Domain Spoken Language Unders techniques to generate more reliable annotations for unlabelled OD-SLU data, thereby fostering “Consistently Guiding Students”. Initially, IPPS aims to solve the straightforward intent prediction task in OD-SLU using self-ranked prompting, enhancing LLMs precision using similar examples from a smal作者: 把手 時間: 2025-3-25 01:41
The Price of?Labelling: A Two-Phase Federated Self-learning Approachsuch as class imbalance and distribution shift across clients. This poses a challenge for creating high-quality pseudo-labels without addressing data heterogeneity. To overcome these challenges, we propose a two-phase FL approach based on data augmentation and self-learning, coined 2PFL. In the firs作者: zonules 時間: 2025-3-25 05:11 作者: 未完成 時間: 2025-3-25 08:05 作者: 違反 時間: 2025-3-25 13:29 作者: indoctrinate 時間: 2025-3-25 18:21 作者: 恃強凌弱 時間: 2025-3-25 22:41
Harnessing Superclasses for?Learning from?Hierarchical Databasescover a diverse set of learning scenarios. Our approach does not entail any significant additional computational cost compared?with the loss of cross-entropy. It improves accuracy and reduces the number?of coarse errors, with predicted labels that are distant from ground-truth labels in the tree.作者: 金哥占卜者 時間: 2025-3-26 01:01 作者: 牌帶來 時間: 2025-3-26 06:46 作者: 翻布尋找 時間: 2025-3-26 11:34
Simon Malberg,Edoardo Mosca,Georg Grohl project management lessons to be learned. You‘ll also recognize recurring characters who appear in multiple stories, and you‘ll start to develop some empathy for?and interest in their struggles. 978-1-4302-3834-8978-1-4302-3835-5作者: infelicitous 時間: 2025-3-26 14:53 作者: 倔強一點 時間: 2025-3-26 18:10 作者: Arrhythmia 時間: 2025-3-26 21:44 作者: 斗志 時間: 2025-3-27 02:36 作者: maladorit 時間: 2025-3-27 08:02 作者: 實現(xiàn) 時間: 2025-3-27 12:11 作者: 混沌 時間: 2025-3-27 14:20
Machine Learning and Knowledge Discovery in Databases. Research TrackEuropean Conference,作者: 友好關(guān)系 時間: 2025-3-27 20:24 作者: 玩忽職守 時間: 2025-3-27 22:23 作者: DUST 時間: 2025-3-28 05:07
Guoqiang Zhangped in popularity relatively early in the growth of modern tourism and, in some cases, have suffered relative decline in the face of competition from warmer alternatives. The Isle of Man, the Channel Islands, and the Baltic islands of Bornholm, Gotland and the ?lands are examples of cold water islan作者: 難解 時間: 2025-3-28 10:16
Mei Yu,Yilin Zuo,Wenbin Zhang,Mankun Zhao,Tianyi Xu,Yue Zhao,Jiujiang Guo,Jian Yucise and deployment of their powers. Conversely, communities without powers, who are not in any sense subjects of their own fate, living on accidental fragments of geography whether of land or sea, may not even realize that their economic development could be thwarted, not because of the absence, mi作者: 前兆 時間: 2025-3-28 13:27
Cheng Chen,Bowen Xing,Ivor W. Tsangcise and deployment of their powers. Conversely, communities without powers, who are not in any sense subjects of their own fate, living on accidental fragments of geography whether of land or sea, may not even realize that their economic development could be thwarted, not because of the absence, mi作者: Painstaking 時間: 2025-3-28 18:27
Davide Italo Serramazza,Thach Le Nguyen,Georgiana Ifrimoof of the Lagrange inversion formula. Connections to linear algebra emerge in chapters studying Cayley trees, determinantal formulas, and the combinatorics that lie behind the classical Cayley–Hamilton theorem. The remaining chapters range across the Inclusion-Exclusion Principle, graph theory and 作者: 羞辱 時間: 2025-3-28 19:56 作者: 混亂生活 時間: 2025-3-28 22:59
Arthur Zylinski,Abdulhakim A. Qahtann with it!” (Bren? Brown) this came to me over 2 years ago and is taped to one of my computer monitors; it has served me well throughout a particular previous work-related situation. “When one must, one can” (Charlotte Whitton). This has been taped to a mirror in my house for just over a year – I lo作者: FAR 時間: 2025-3-29 03:17 作者: 騷動 時間: 2025-3-29 10:45
Model Fusion via?Neuron Transplantationry and inference time. In this work we propose a novel model fusion technique called . in which we fuse an ensemble of models by transplanting important neurons from all ensemble members into the vacant space obtained by pruning insignificant neurons. An initial loss in performance post-transplantat作者: 增強 時間: 2025-3-29 11:41
Compressed Federated Reinforcement Learning with?a?Generative Modelted reinforcement learning (FedRL) has emerged, wherein agents collaboratively learn a single policy by aggregating local estimations. However, this aggregation step incurs significant communication costs. In this paper, we propose ., a communication-efficient FedRL approach incorporating both . and作者: Protein 時間: 2025-3-29 19:12
Walking Noise: On Layer-Specific Robustness of?Neural Architectures Against Noisy Computations and?A exacerbated by stuttering technology scaling, prompting the need for novel approaches to handle increasingly complex neural architectures. At the same time, alternative computing technologies such as analog computing, which promise groundbreaking improvements in energy efficiency, are inevitably fr作者: Lasting 時間: 2025-3-29 20:33
KAFè: Kernel Aggregation for?FEderatedd identically distributed (non-IID) data. This situation leads to wandering behaviors among individual clients, thereby causing the global model to deviate from local optimal states. Recent research has shed light on this phenomenon, indicating that it may be attributed to biases introduced by local作者: 返老還童 時間: 2025-3-30 01:29
On Suppressing Range of?Adaptive Stepsizes of?Adam to?Improve Generalisation Performanceke a bridge with SGD with momentum. Following the above motivation, we suppress the range of the adaptive stepsizes of Adam by exploiting the layerwise gradient statistics. In particular, at each iteration, we propose to perform three consecutive operations on the second momentum . before using it t作者: Accrue 時間: 2025-3-30 04:36
Graph Attention Network with?Relational Dynamic Factual Fusion for?Knowledge Graph Completionellent results, especially graph attention network models (GATs). Existing GATs ignore the factual correlation between different relations in the same pair of entities based on the global graph structure. To solve this problem, we propose a model RISDF based on the graph attention network with relat作者: CANDY 時間: 2025-3-30 09:40
Low-Hanging Fruit: Knowledge Distillation from?Noisy Teachers for?Open Domain Spoken Language Underss, which are impractical for open-domain SLU, given the wide variety of topics that must be considered. As the dataset grows exponentially, significant costs are inevitably incurred in achieving open-domain SLU. The Noisy Teacher and Consistently Guiding Student (NTCG) Paradigm is proposed to addres作者: IRK 時間: 2025-3-30 15:13
The Price of?Labelling: A Two-Phase Federated Self-learning Approachting studies on FL primarily focus on supervised learning, assuming that all clients possess sufficient training data with ground-truth labels, this assumption may not always hold in practical scenarios. In many cases, data are unlabelled due to labeling costs, time constraints, or lack of expertise作者: conduct 時間: 2025-3-30 17:18
Disentangled Representations for?Continual Learning: Overcoming Forgetting and?Facilitating Knowledgmake full use of the knowledge from multiple tasks to solve a particular task. In this paper, we propose to disentangle representations in continual learning into task-shared and task-specific representations, using shared and task-specific encoders to obtain the corresponding disentangled represent作者: 上釉彩 時間: 2025-3-31 00:24 作者: 叫喊 時間: 2025-3-31 02:00 作者: PACK 時間: 2025-3-31 05:17
Novel Node Category Detection Under Subpopulation Shifttions of existing categories. It is often important to detect nodes of novel categories under such distribution shifts for safety or insight discovery purposes. We introduce a new approach, Recall-Constrained Optimization with Selective Link Prediction (RECO-SLIP), to detect nodes belonging to novel作者: Incisor 時間: 2025-3-31 12:02
SynODC: Utilizing the?Syntactic Structure for?Outlier Detection in?Categorical Attributesained on a low quality data tend to produce inaccurate decisions and poor predictions. While detecting outliers in numerical data has been extensively studied, few attempts were made to solve the problem of detecting outliers in attributes with categorical values. In this paper, we introduce SynODC 作者: Cultivate 時間: 2025-3-31 15:01
FELIX: Automatic and?Interpretable Feature Engineering Using LLMsuracy against interpretability, all while having to deal with unstructured data. We address this issue by introducing. . . . . . . . . . (FELIX), a novel approach harnessing the vast world knowledge embedded in pre-trained Large Language Models (LLMs) to automatically generate a set of features desc作者: N斯巴達人 時間: 2025-3-31 18:41
Harnessing Superclasses for?Learning from?Hierarchical Databaseslasses in superclasses. We introduce a loss for this type?of supervised hierarchical classification. It utilizes the knowledge of?the hierarchy to assign each example not only to a class but also to?all encompassing superclasses. Applicable to any feedforward architecture with?a softmax output layer作者: 顯微鏡 時間: 2025-3-31 22:38
Approximation Error of?Sobolev Regular Functions with?Tanh Neural Networks: Theoretical Impact on?PI theoretical guarantees in Sobolev norm. In this paper, we conduct an extensive functional analysis, unveiling tighter approximation bounds compared to prior works, especially for higher order PDEs. These better guarantees translate into smaller PINN architectures and improved generalization error w作者: 有節(jié)制 時間: 2025-4-1 02:47
A Theoretically Grounded Extension of?Universal Attacks from?the?Attacker’s ViewpointSpecifically, we embrace the attacker’s perspective and introduce a theoretical bound quantifying how much the universal perturbations are able to fool a given model on unseen examples. An extension to assert the transferability of universal attacks is also provided. To learn such perturbations, we 作者: 馬賽克 時間: 2025-4-1 05:59
Linear Modeling of?the?Adversarial Noise Spaceinguish specific attacks adapted to each example from universal ones, referred to as example-agnostic. Even though specific adversarial attacks are efficient on their target DNN classifier to attack, they struggle to transfer to others. Conversely, universal adversarial attacks suffer from lower att作者: 偏見 時間: 2025-4-1 11:25 作者: 交響樂 時間: 2025-4-1 15:17
