Machine Learning

Article	Citations
The role of mutual information in variational classifiers	291
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	251
Fairness seen as global sensitivity analysis	227
Automated imbalanced classification via layered learning	131
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	117
Robust reputation independence in ranking systems for multiple sensitive attributes	98
Maximum causal entropy inverse constrained reinforcement learning	92
Semantic-enhanced graph neural networks with global context representation	75
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	63
Correction to: Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches	59
Compositional scene modeling with global object-centric representations	57
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	56
Adapting performance metrics for ordinal classification to interval scale: length matters	47
Evaluating line-level localization ability of learning-based code vulnerability detection models	46
MultiScale Knowledge Distillation	46
Parameter identifiability of a deep feedforward ReLU neural network	45
Learning to bid and rank together in recommendation systems	43
Performative Prediction in the Wild: Adapting to Arbitrary Data Distribution Maps	43
PrunePrivyTune: Accelerating Language Models with Pruning and Differentially Private Fine-Tuning	41
Differentially-private data synthetisation for efficient re-identification risk control	40
GENs: generative encoding networks	37
Extended UCB Policies for Multi-armed Bandit Problems	37
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios	34
Expanding Domain Generalization Theory: Error Bound Beyond Convex Combination Assumption	33
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	33

Masked autoencoder for multiagent trajectories	33
Towards accurate knowledge transfer via target-awareness representation disentanglement	33
Trimming stability selection increases variable selection robustness	32
Invariant representation learning via decoupling style and spurious features	30
A calibration test for evaluating set-based epistemic uncertainty representations	30
Glacier: guided locally constrained counterfactual explanations for time series classification	29
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation	29
Responsible model deployment via model-agnostic uncertainty learning	29
FairSwiRL: fair semi-supervised classification with representation learning	28
Select First, Transfer Later: Choosing a Proper Dataset for SRL and GNN Based Transfer Learning	28
ABANet: An Atom-Bond Attention-Enhanced Neural Network for End-to-End Retrosynthesis	28
Transfer learning with pre-trained conditional generative models	28
Efficient private SCO for heavy-tailed data via averaged clipping	27
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization	27
Bias Mitigation in Large Language Models for Tabular Data Classification	25
Generalization bounds for learning under graph-dependence: a survey	25
ConstellationNet: Reinventing Clustering Through GNNs	24
A prompt-driven framework for multi-domain knowledge tracing	24
Adversarial Distribution Balancing for Counterfactual Reasoning	24
Chinese character recognition with radical-structured stroke trees	24
Progressive semantic learning for unsupervised skeleton-based action recognition	23
Correction: Break a Lag: Triple Exponential Moving Average for Enhanced Optimization	23
Rényi divergence in hidden Markov models	23
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	23
On the usefulness of the fit-on-test view on evaluating calibration of classifiers	23
Autoreplicative random forests with applications to missing value imputation	22
DIMBA: discretely masked black-box attack in single object tracking	22
Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics	22
Feature ranking for semi-supervised learning	21
Uncertainty Quantification in Pairwise Difference Learning for Classification	21
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	21
A Robust Approach for Image Clustering with Outliers via Tensor Low-Rank Representation	20
Histogram approaches for imbalanced data streams regression	20
Aligning model outputs for class imbalanced non-IID federated learning	20
Correction to: efficient generator of mathematical expressions for symbolic regression	20
DeNAV: Decentralized Self-Supervised Learning with a Training Navigator	19
Dynamic datasets and market environments for financial reinforcement learning	19
SPA: A poisoning attack framework for graph neural networks through searching and pairing	19
Offline reinforcement learning for learning to dispatch for job shop scheduling	19
TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring	18
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks	18
Testing exchangeability in the batch mode with e-values and Markov alternatives	18
Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker	18
Reducing classifier overconfidence against adversaries through graph algorithms	18
Probabilistic scoring lists for interpretable machine learning	17
Capturing the context-aware code change via dynamic control flow graph for commit message generation	17
Pdarts: projected differentiable architecture search for seismic inversion	17
MORE-PLR: multi-output regression employed for partial label ranking	17
LEAP: Linear equations for classifier accuracy prediction under prior probability shift	17
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	17

Event causality extraction through external event knowledge learning and polyhedral word embedding	17
A contrastive neural disentanglement approach for query performance prediction	17
Adaptive differentiable trees for transparent learning on data streams	17
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver	16
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data	16
Coresets for kernel clustering	16
On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior	16
Autoencoding slow representations for semi-supervised data-efficient regression	16
Consensus–relevance kNN and covariate shift mitigation	16
One transformer for all time series: representing and training with time-dependent heterogeneous tabular data	16
An in-depth review and analysis of mode collapse in generative adversarial networks	15
Multi-agent reinforcement learning for fast-timescale demand response of residential loads	15
Mitigating Security Risks in Large Language Models: A Full Lifecycle Perspective	15
Attacking neural machine translations via hybrid attention learning	15
Attention-Enhanced Cross-Modality Alignment for Adapting Vision-Language Models	15
Understanding prediction discrepancies in classification	15
Least-squares temporal difference with expected eligibility traces	14
Mind the gap: from plausible to valid self-explanations in large language models	14
Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms	14
Beyond What’s Normal: Bimodal and Heaviside Alternatives to Gaussian Process Regression	14
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	14
Empirical Bayes linked matrix decomposition	13
Efficient and provable online reduced rank regression via online gradient descent	13
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media	13
Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing	13
Exploiting counter-examples for active learning with partial labels	13
Online AutoML: an adaptive AutoML framework for online learning	13
A new formulation of Lipschitz constrained with functional gradient learning for GANs	13
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains	12
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity	12
Symbolic Recovery of Differential Equations: The Identifiability Problem	12
Imbalanced gradients: a subtle cause of overestimated adversarial robustness	12
Generating Efficiently Realistic Counterfactual Explanations	12
Targeted adversarial attacks on wind power forecasts	12
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach	12
Constrained regret minimization for multi-criterion multi-armed bandits	12
Efficient and interpretable raw audio classification with diagonal state space models	12
Search or split: policy gradient with adaptive policy space	12
Online Neural Networks for Change-Point Detection	12
Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro	11
On the robustness of randomized classifiers to adversarial examples	11
Enhancing Low-Degree Graph Neural Networks via Joint Training and Improved Message Passing	11
Correction to: Modeling PU learning using probabilistic logic programming	11
Transfer and share: semi-supervised learning from long-tailed data	11
Online binary classification from similar and dissimilar data	11
An interpretable sample selection framework against numerical label noise	10
Weighted neural tangent kernel: a generalized and improved network-induced kernel	10
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions	10
Efficient federated unlearning under plausible deniability	10
Scale-preserving automatic concept extraction (SPACE)	10
Low-Rank Fully-Connected Tensor Network Learning for Tensor-on-Tensor Regression	10
Robust matrix estimations meet Frank–Wolfe algorithm	10
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation	10
Learning answer set programs with aggregates via sampling and genetic programming	9
Apprenticeship Learning with Prior Beliefs Using Inverse Optimization	9
Lifted model checking for relational MDPs	9
Gradient boosted trees for evolving data streams	9
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework	9
Fraud detection with natural language processing	9
A unified view of forward and backward losses for learning from weak labels	9
Jaccard-constrained dense subgraph discovery	9
Online learning of network bottlenecks via minimax paths	9
Quantitative Gaussian approximation of randomly initialized deep neural networks	9
PC-MoE: memory-efficient and privacy-preserving collaborative training for Mixture-of-Experts LLMs	9
Adversarial concept drift detection under poisoning attacks for robust data stream mining	9
Hitting the target: stopping active learning at the cost-based optimum	9
Traditional and context-specific spam detection in low resource settings	9
Ordinal Classification with Label-Dependent Loss	9
Improving interpretability via regularization of neural activation sensitivity	9
Empirical analysis of performance assessment for imbalanced classification	9
Permutation-invariant linear classifiers	9
Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures	9
How to be fair? A study of label and selection bias	8
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification	8
DISTFormer: Enhance 3D Human Pose Estimation via Dual Inverse-Order Spatial-Temporal Transformer	8
Adaptive collaborative minority oversampling for multi-class imbalanced classification	8
SafeGen: safeguarding privacy and fairness through a genetic method	8
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network	8
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	8
Graph spring neural ODEs for link sign prediction	8

Calibrated explanations for regression	8
Fast linear model trees by PILOT	8
Low-Light Scene Text Image Enhancement in the Wild	8
Distribution-free conformal joint prediction regions for neural marked temporal point processes	8
Relational data embeddings for feature enrichment with background information	8
When Redundancy Matters: Machine Teaching of Representations	8
LLiMe: enhancing text classifier explanations with large language models	8
Correction to: A neural meta-model for predicting winter wheat crop yield	8
Pruning during training by network efficacy modeling	8
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models	8
Diverse and consistent multi-view networks for semi-supervised regression	8
Science-Gym: a simple testbed for AI-driven scientific discovery	8
CoMadOut—a robust outlier detection algorithm based on CoMAD	8
Wasserstein dropout	8
Efficient quantification on large-scale networks	8
Hierarchically structured task-agnostic continual learning	8
Explaining recommendation system using counterfactual textual explanations	8
On metafeatures’ ability of implicit concept identification	7
Mechanistic Interpretability of ReLU Neural Networks Through Piecewise-Affine Mapping	7
Gradient descent fails to learn high-frequency functions and modular arithmetic	7
Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +	7
Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework	7
Temporal ensemble of multiple patterns’ instances for continuous prediction of events	7
Understanding transfer learning and gradient-based meta-learning techniques	7
Geometric-k-means: a bound free approach to fast and eco-friendly k-means	7
Federated learning with superquantile aggregation for heterogeneous data	7
Sanitized clustering against confounding bias	7
Spatiotemporal-view member preference contrastive representation learning for group recommendation	7
Stress detection with encoding physiological signals and convolutional neural network	7
Cost-sensitive classification with cost uncertainty: do we need surrogate losses?	7
Information bottleneck and selective noise supervision for zero-shot learning	7
Nrat: towards adversarial training with inherent label noise	7
ALM-PU: positive and unlabeled learning with constrained optimization	7
Toward practical human-interpretable explanations	7
Hellinger distance decision trees for PU learning in imbalanced data sets	7
A unified framework for online trip destination prediction	7
Black-box Bayesian adversarial attack with transferable priors	7
S2TE: Staged Scale-Free Topology Evolution for Sparse Spiking Neural Networks	7
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization	7
ShuttleFlow: learning the distribution of subsequent badminton shots using normalizing flows	7
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks	6
GVFs in the real world: making predictions online for water treatment	6
A new adaptive gradient method with gradient decomposition	6
DGNet: Dynamic Graph Networks for Multivariate Time Series Prediction	6
Improving text processing via adversarial low-rank adaptation	6
Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression	6
Towards efficient pareto-optimal utility-fairness between groups in repeated rankings	6
Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance	6
State-novelty guided action persistence in deep reinforcement learning	6
A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting	6
GNN-Based Spatio-Temporal Manifold Learning: An Application of Landslide Prediction	6
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification	6
Dense subgraphs induced by edge labels	6
Learning to rank anomalies: scalar performance criteria and maximization of rank statistics	6
Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance	6
DOC$$^3$$: deep one class classification using contradictions	6
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models	6
Data-Driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems	6
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days	6
In-game soccer outcome prediction with offline reinforcement learning	6
Sandbox: safeguarded multi-label learning through safe optimal transport	6
A comparison of latent space modeling techniques in a plain-vanilla autoencoder setting	6
Recurrent segmentation meets block models in temporal networks	6
Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach	6
Generalizing universal adversarial perturbations for deep neural networks	6
Adaptive adapter routing for long-tailed class-incremental learning	6
A framework for training larger networks for deep Reinforcement learning	6
Automotive fault nowcasting with machine learning and natural language processing	6
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency	6
Learning with risks based on M-location	6
Bayesian mixture variational autoencoders for multi-modal learning	6
Jensen–Tsallis divergence for supervised classification under data imbalance	6
Gradient-based causal discovery with latent variables	6
Ranking-preserved generative label enhancement	6
Ddog: optimizing multi-hop inference via dual-driven retrieval and reasoning path	6
Counterfactual Explanation Bake-Off: A Review and Experimental Evaluation for Time Series Classification	6
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning	6
The class imbalance problem in deep learning	6
Unified convergence analysis for adaptive optimization with moving average estimator	6
Tight mixed-integer optimization formulations for prescriptive trees	6
Heterogeneous multi-task Gaussian Cox processes	5
Contrastive counterfactual visual explanations with overdetermination	5
Drop-in efficient self-attention approximation method	5
Classification with costly features in hierarchical deep sets	5
Correction to: Conformal load prediction with transductive graph autoencoders	5
A brain-inspired algorithm for training highly sparse neural networks	5
A class sensitivity feature guided T-type generative model for noisy label classification	5
Neural network structure simplification by assessing evolution in node weight magnitude	5
Explaining neural networks without access to training data	5
Boundary-restricted metric learning	5
Margin distribution and structural diversity guided ensemble pruning	5
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning	5
Adjusting regression models for conditional uncertainty calibration	5
Explainable dating of greek papyri images	5
Naive automated machine learning	5