Machine Learning

Article	Citations
The role of mutual information in variational classifiers	285
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	238
Fairness seen as global sensitivity analysis	215
Parameter identifiability of a deep feedforward ReLU neural network	120
Automated imbalanced classification via layered learning	112
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	95
MultiScale Knowledge Distillation	89
Robust reputation independence in ranking systems for multiple sensitive attributes	74
Maximum causal entropy inverse constrained reinforcement learning	62
Semantic-enhanced graph neural networks with global context representation	58
Correction to: Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches	54
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	54
Compositional scene modeling with global object-centric representations	46
Performative Prediction in the Wild: Adapting to Arbitrary Data Distribution Maps	44
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	44
Adapting performance metrics for ordinal classification to interval scale: length matters	42
Evaluating line-level localization ability of learning-based code vulnerability detection models	41
Learning to bid and rank together in recommendation systems	40
GENs: generative encoding networks	39
Differentially-private data synthetisation for efficient re-identification risk control	39
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation	36
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	33
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios	33
Extended UCB Policies for Multi-armed Bandit Problems	33
Towards accurate knowledge transfer via target-awareness representation disentanglement	32

FairSwiRL: fair semi-supervised classification with representation learning	32
Masked autoencoder for multiagent trajectories	31
Expanding Domain Generalization Theory: Error Bound Beyond Convex Combination Assumption	30
A prompt-driven framework for multi-domain knowledge tracing	29
Invariant representation learning via decoupling style and spurious features	28
Adversarial Distribution Balancing for Counterfactual Reasoning	28
A calibration test for evaluating set-based epistemic uncertainty representations	28
On the usefulness of the fit-on-test view on evaluating calibration of classifiers	28
Trimming stability selection increases variable selection robustness	28
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization	28
Glacier: guided locally constrained counterfactual explanations for time series classification	26
Generalization bounds for learning under graph-dependence: a survey	26
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	25
Chinese character recognition with radical-structured stroke trees	25
ABANet: An Atom-Bond Attention-Enhanced Neural Network for End-to-End Retrosynthesis	25
Rényi divergence in hidden Markov models	23
Transfer learning with pre-trained conditional generative models	23
Bias Mitigation in Large Language Models for Tabular Data Classification	23
Efficient private SCO for heavy-tailed data via averaged clipping	23
Responsible model deployment via model-agnostic uncertainty learning	23
Progressive semantic learning for unsupervised skeleton-based action recognition	23
Select First, Transfer Later: Choosing a Proper Dataset for SRL and GNN Based Transfer Learning	23
ConstellationNet: Reinventing Clustering Through GNNs	23
Feature ranking for semi-supervised learning	22
Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics	22
Correction to: efficient generator of mathematical expressions for symbolic regression	21
Aligning model outputs for class imbalanced non-IID federated learning	21
Histogram approaches for imbalanced data streams regression	21
Uncertainty Quantification in Pairwise Difference Learning for Classification	21
DIMBA: discretely masked black-box attack in single object tracking	21
Dynamic datasets and market environments for financial reinforcement learning	20
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	20
Offline reinforcement learning for learning to dispatch for job shop scheduling	20
A Robust Approach for Image Clustering with Outliers via Tensor Low-Rank Representation	19
SPA: A poisoning attack framework for graph neural networks through searching and pairing	19
Autoreplicative random forests with applications to missing value imputation	19
DeNAV: Decentralized Self-Supervised Learning with a Training Navigator	19
Testing exchangeability in the batch mode with e-values and Markov alternatives	18
Probabilistic scoring lists for interpretable machine learning	18
Reducing classifier overconfidence against adversaries through graph algorithms	18
A contrastive neural disentanglement approach for query performance prediction	18
Capturing the context-aware code change via dynamic control flow graph for commit message generation	18
TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring	17
Multi-agent reinforcement learning for fast-timescale demand response of residential loads	17
LEAP: Linear equations for classifier accuracy prediction under prior probability shift	17
Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker	17
Adaptive differentiable trees for transparent learning on data streams	17
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks	17
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	17
Pdarts: projected differentiable architecture search for seismic inversion	17

MORE-PLR: multi-output regression employed for partial label ranking	16
Coresets for kernel clustering	16
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver	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
Autoencoding slow representations for semi-supervised data-efficient regression	16
Event causality extraction through external event knowledge learning and polyhedral word embedding	16
On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior	16
Attention-Enhanced Cross-Modality Alignment for Adapting Vision-Language Models	16
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach	15
A new formulation of Lipschitz constrained with functional gradient learning for GANs	15
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data	15
Beyond What’s Normal: Bimodal and Heaviside Alternatives to Gaussian Process Regression	15
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	15
Least-squares temporal difference with expected eligibility traces	15
An in-depth review and analysis of mode collapse in generative adversarial networks	15
Efficient and provable online reduced rank regression via online gradient descent	14
Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms	14
Exploiting counter-examples for active learning with partial labels	14
Attacking neural machine translations via hybrid attention learning	14
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media	13
Online Neural Networks for Change-Point Detection	13
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains	13
Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing	13
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity	13
Understanding prediction discrepancies in classification	13
Online AutoML: an adaptive AutoML framework for online learning	13
Mind the gap: from plausible to valid self-explanations in large language models	12
Efficient and interpretable raw audio classification with diagonal state space models	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
Empirical Bayes linked matrix decomposition	12
Constrained regret minimization for multi-criterion multi-armed bandits	12
Search or split: policy gradient with adaptive policy space	12
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation	11
Transfer and share: semi-supervised learning from long-tailed data	11
Online binary classification from similar and dissimilar data	11
Low-Rank Fully-Connected Tensor Network Learning for Tensor-on-Tensor Regression	11
Scale-preserving automatic concept extraction (SPACE)	11
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
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions	11
Correction to: Modeling PU learning using probabilistic logic programming	11
Robust matrix estimations meet Frank–Wolfe algorithm	10
An interpretable sample selection framework against numerical label noise	10
Efficient federated unlearning under plausible deniability	10
Adversarial concept drift detection under poisoning attacks for robust data stream mining	10
Weighted neural tangent kernel: a generalized and improved network-induced kernel	10
$${{\mathrm {Latent}}Out}$$: an unsupervised deep anomaly detection approach exploiting latent space distribution	9
Improving interpretability via regularization of neural activation sensitivity	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
A unified view of forward and backward losses for learning from weak labels	9
Apprenticeship Learning with Prior Beliefs Using Inverse Optimization	9
Hitting the target: stopping active learning at the cost-based optimum	9
Empirical analysis of performance assessment for imbalanced classification	9
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework	9
Gradient boosted trees for evolving data streams	9
Fast linear model trees by PILOT	9
Jaccard-constrained dense subgraph discovery	9
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models	9
Lifted model checking for relational MDPs	9
Fraud detection with natural language processing	9
Permutation-invariant linear classifiers	9
Online learning of network bottlenecks via minimax paths	9
Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures	9
LLiMe: enhancing text classifier explanations with large language models	9
Pruning during training by network efficacy modeling	9
SafeGen: safeguarding privacy and fairness through a genetic method	8
Adaptive collaborative minority oversampling for multi-class imbalanced classification	8
Nrat: towards adversarial training with inherent label noise	8
Learning answer set programs with aggregates via sampling and genetic programming	8
Graph spring neural ODEs for link sign prediction	8
Ordinal Classification with Label-Dependent Loss	8
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization	8
CoMadOut—a robust outlier detection algorithm based on CoMAD	8
Relational data embeddings for feature enrichment with background information	8
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification	8

Hierarchically structured task-agnostic continual learning	8
How to be fair? A study of label and selection bias	8
Explaining recommendation system using counterfactual textual explanations	8
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	8
Diverse and consistent multi-view networks for semi-supervised regression	8
Distribution-free conformal joint prediction regions for neural marked temporal point processes	8
Explaining short text classification with diverse synthetic exemplars and counter-exemplars	8
Traditional and context-specific spam detection in low resource settings	8
Calibrated explanations for regression	8
Correction to: A neural meta-model for predicting winter wheat crop yield	8
Understanding transfer learning and gradient-based meta-learning techniques	8
Information bottleneck and selective noise supervision for zero-shot learning	7
Efficient quantification on large-scale networks	7
When Redundancy Matters: Machine Teaching of Representations	7
Gradient descent fails to learn high-frequency functions and modular arithmetic	7
Science-Gym: a simple testbed for AI-driven scientific discovery	7
A framework for training larger networks for deep Reinforcement learning	7
ShuttleFlow: learning the distribution of subsequent badminton shots using normalizing flows	7
Temporal ensemble of multiple patterns’ instances for continuous prediction of events	7
Generalizing universal adversarial perturbations for deep neural networks	7
On metafeatures’ ability of implicit concept identification	7
A unified framework for online trip destination prediction	7
Federated learning with superquantile aggregation for heterogeneous data	7
Wasserstein dropout	7
Low-Light Scene Text Image Enhancement in the Wild	7
Stress detection with encoding physiological signals and convolutional neural network	7
Learning to rank anomalies: scalar performance criteria and maximization of rank statistics	7
In-game soccer outcome prediction with offline reinforcement learning	7
Toward practical human-interpretable explanations	7
Sanitized clustering against confounding bias	7
ALM-PU: positive and unlabeled learning with constrained optimization	7
Cost-sensitive classification with cost uncertainty: do we need surrogate losses?	7
Geometric-k-means: a bound free approach to fast and eco-friendly k-means	7
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network	7
DISTFormer: Enhance 3D Human Pose Estimation via Dual Inverse-Order Spatial-Temporal Transformer	7
Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +	7
S2TE: Staged Scale-Free Topology Evolution for Sparse Spiking Neural Networks	7
Mechanistic Interpretability of ReLU Neural Networks Through Piecewise-Affine Mapping	7
Spatiotemporal-view member preference contrastive representation learning for group recommendation	7
Adaptive adapter routing for long-tailed class-incremental learning	7
Hellinger distance decision trees for PU learning in imbalanced data sets	7
Tight mixed-integer optimization formulations for prescriptive trees	6
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models	6
A comparison of latent space modeling techniques in a plain-vanilla autoencoder setting	6
Unified convergence analysis for adaptive optimization with moving average estimator	6
Dense subgraphs induced by edge labels	6
Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression	6
Gradient-based causal discovery with latent variables	6
Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance	6
A new adaptive gradient method with gradient decomposition	6
Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach	6
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days	6
A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting	6
Ranking-preserved generative label enhancement	6
Recurrent segmentation meets block models in temporal networks	6
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning	6
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification	6
Sandbox: safeguarded multi-label learning through safe optimal transport	6
Jensen–Tsallis divergence for supervised classification under data imbalance	6
DGNet: Dynamic Graph Networks for Multivariate Time Series Prediction	6
Automotive fault nowcasting with machine learning and natural language processing	6
Improving text processing via adversarial low-rank adaptation	6
Towards efficient pareto-optimal utility-fairness between groups in repeated rankings	6
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks	6
Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance	6
Black-box Bayesian adversarial attack with transferable priors	6
The class imbalance problem in deep learning	6
Ddog: optimizing multi-hop inference via dual-driven retrieval and reasoning path	6
State-novelty guided action persistence in deep reinforcement learning	6
Learning with risks based on M-location	6
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency	6
DOC$$^3$$: deep one class classification using contradictions	6
Bayesian mixture variational autoencoders for multi-modal learning	6