Machine Learning

Article	Citations
The role of mutual information in variational classifiers	323
Maximum causal entropy inverse constrained reinforcement learning	283
Correction to: Segmentation and feature extraction-based classification of pavement damages using hybrid computer vision and machine learning approaches	255
Compositional scene modeling with global object-centric representations	159
Learning to bid and rank together in recommendation systems	130
Evaluating line-level localization ability of learning-based code vulnerability detection models	107
MultiScale Knowledge Distillation	104
Parameter identifiability of a deep feedforward ReLU neural network	75
Performative Prediction in the Wild: Adapting to Arbitrary Data Distribution Maps	72
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	69
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	58
PrunePrivyTune: Accelerating Language Models with Pruning and Differentially Private Fine-Tuning	57
Automated imbalanced classification via layered learning	54
Semantic-enhanced graph neural networks with global context representation	49
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	48
Adapting performance metrics for ordinal classification to interval scale: length matters	47
Trading-Off Statistical and Computational Efficiency via W-Step Markov Decision Processes: A Policy Gradient Approach	46
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	46
Differentially-private data synthetisation for efficient re-identification risk control	45
GENs: generative encoding networks	44
Extended UCB Policies for Multi-armed Bandit Problems	40
Towards accurate knowledge transfer via target-awareness representation disentanglement	39
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	39
Trimming stability selection increases variable selection robustness	37
Masked autoencoder for multiagent trajectories	37

Invariant representation learning via decoupling style and spurious features	36
FairSwiRL: fair semi-supervised classification with representation learning	35
ABANet: An Atom-Bond Attention-Enhanced Neural Network for End-to-End Retrosynthesis	35
Transfer learning with pre-trained conditional generative models	34
Efficient private SCO for heavy-tailed data via averaged clipping	33
Select First, Transfer Later: Choosing a Proper Dataset for SRL and GNN Based Transfer Learning	33
Bias Mitigation in Large Language Models for Tabular Data Classification	32
ConstellationNet: Reinventing Clustering Through GNNs	31
Adversarial Distribution Balancing for Counterfactual Reasoning	31
Secure and fast asynchronous Vertical Federated Learning via cascaded hybrid optimization	30
A prompt-driven framework for multi-domain knowledge tracing	29
A calibration test for evaluating set-based epistemic uncertainty representations	28
Multi-label image classification with multi-layered multi-perspective dynamic semantic representation	28
On the usefulness of the fit-on-test view on evaluating calibration of classifiers	27
Generalization bounds for learning under graph-dependence: a survey	26
Simultaneous outlier detection and elimination in hyperspectral unmixing via weighted non-negative matrix tri-factorization	25
Expanding Domain Generalization Theory: Error Bound Beyond Convex Combination Assumption	25
Reinforcement Learning Guided Neural Deconstruction Search for Flexible Job Scheduling	24
Glacier: guided locally constrained counterfactual explanations for time series classification	24
Responsible model deployment via model-agnostic uncertainty learning	24
Correction: Break a Lag: Triple Exponential Moving Average for Enhanced Optimization	24
Chinese character recognition with radical-structured stroke trees	24
Rényi divergence in hidden Markov models	23
Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	23
Autoreplicative random forests with applications to missing value imputation	23
Progressive semantic learning for unsupervised skeleton-based action recognition	23
LaMMOn: language model combined graph neural network for multi-target multi-camera tracking in online scenarios	23
SPA: A poisoning attack framework for graph neural networks through searching and pairing	22
Correction to: efficient generator of mathematical expressions for symbolic regression	22
Histogram approaches for imbalanced data streams regression	22
Artificial intelligence for laryngoscopy in vocal fold diseases: a review of dataset, technology, and ethics	21
DeNAV: Decentralized Self-Supervised Learning with a Training Navigator	21
A Robust Approach for Image Clustering with Outliers via Tensor Low-Rank Representation	21
Uncertainty Quantification in Pairwise Difference Learning for Classification	20
Offline reinforcement learning for learning to dispatch for job shop scheduling	20
Adaptive Swarm Mesh Refinement Using Deep Reinforcement Learning with Local Rewards	20
Aligning model outputs for class imbalanced non-IID federated learning	20
Dynamic datasets and market environments for financial reinforcement learning	20
DIMBA: discretely masked black-box attack in single object tracking	20
Consolidated learning: a domain-specific model-free optimization strategy with validation on metaMIMIC benchmarks	19
Testing exchangeability in the batch mode with e-values and Markov alternatives	19
TFAS: zero-shot NAS for general time-series analysis with time-frequency aware scoring	18
Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker	18
Capturing the context-aware code change via dynamic control flow graph for commit message generation	18
Pdarts: projected differentiable architecture search for seismic inversion	18
LEAP: Linear equations for classifier accuracy prediction under prior probability shift	18
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	18
Probabilistic scoring lists for interpretable machine learning	18
Coresets for kernel clustering	17
On the Discrepancy between Kleinberg’s Clustering Axioms and k-Means Clustering Algorithm Behavior	17

Autoencoding slow representations for semi-supervised data-efficient regression	17
MORE-PLR: multi-output regression employed for partial label ranking	17
Counterfactual ensembles for interpretable churn prediction: from real-world to privacy-preserving synthetic data	17
Reducing classifier overconfidence against adversaries through graph algorithms	17
A contrastive neural disentanglement approach for query performance prediction	16
Attention-Enhanced Cross-Modality Alignment for Adapting Vision-Language Models	16
Conformal prediction for regression models with asymmetrically distributed errors: application to aircraft navigation during landing maneuver	16
Mitigating Security Risks in Large Language Models: A Full Lifecycle Perspective	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
Adaptive differentiable trees for transparent learning on data streams	15
Multi-agent reinforcement learning for fast-timescale demand response of residential loads	15
Event causality extraction through external event knowledge learning and polyhedral word embedding	15
GE-PEFT: Gated Expandable Parameter-Efficient Fine-Tuning for Continual Learning	14
Applied machine learning to the determination of biochar hydrogen sulfide adsorption capacity	14
Generating Efficiently Realistic Counterfactual Explanations	14
Least-squares temporal difference with expected eligibility traces	14
Online Neural Networks for Change-Point Detection	14
Attacking neural machine translations via hybrid attention learning	14
Mind the gap: from plausible to valid self-explanations in large language models	13
Learning de-biased environment models for delivery incentive policy optimization on food delivery platforms	13
Optimal Control of Fluid Restless Multi-armed Bandits: A Machine Learning Approach	13
Beyond What’s Normal: Bimodal and Heaviside Alternatives to Gaussian Process Regression	13
Exploiting counter-examples for active learning with partial labels	13
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains	13
Online AutoML: an adaptive AutoML framework for online learning	13
Correction to: Exploiting sparsity and statistical dependence in multivariate data fusion: an application to misinformation detection for high-impact events	13
A new formulation of Lipschitz constrained with functional gradient learning for GANs	13
Efficient and interpretable raw audio classification with diagonal state space models	13
Empirical Bayes linked matrix decomposition	13
Efficient and provable online reduced rank regression via online gradient descent	12
Targeted adversarial attacks on wind power forecasts	12
Achieving collective welfare in multi-agent reinforcement learning via suggestion sharing	12
Understanding prediction discrepancies in classification	12
Imbalanced gradients: a subtle cause of overestimated adversarial robustness	12
Constrained regret minimization for multi-criterion multi-armed bandits	12
Symbolic Recovery of Differential Equations: The Identifiability Problem	11
Progressive Induction-Aware Optimization for LLMs Safety Under Multi-turn Jailbreaks	11
Unmasking deception: a topic-oriented multimodal approach to uncover false information on social media	11
Towards Adaptive and Communication-Efficient Dynamic Federated Learning	11
Prevalidated Ridge Regression is a Highly-Efficient Drop-In Replacement for Logistic Regression for High-dimensional Data	11
Improving interpretability via regularization of neural activation sensitivity	10
Forecasting short-term passenger flow via CBGC-SCI: an in-depth comparative study on Shenzhen Metro	10
Low-Rank Fully-Connected Tensor Network Learning for Tensor-on-Tensor Regression	10
Panda: partially approximate newton methods for distributed minimax optimization with unbalanced dimensions	10
On the robustness of randomized classifiers to adversarial examples	10
Weighted neural tangent kernel: a generalized and improved network-induced kernel	10
PC-MoE: memory-efficient and privacy-preserving collaborative training for Mixture-of-Experts LLMs	10
Transfer and share: semi-supervised learning from long-tailed data	10
An interpretable sample selection framework against numerical label noise	10
Scale-preserving automatic concept extraction (SPACE)	10
Fraud detection with natural language processing	10
Online binary classification from similar and dissimilar data	10
Enhancing Low-Degree Graph Neural Networks via Joint Training and Improved Message Passing	10
Robust matrix estimations meet Frank–Wolfe algorithm	10
Correction to: Modeling PU learning using probabilistic logic programming	10
Empirical analysis of performance assessment for imbalanced classification	10
A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework	9
Inverting Non-injective Functions with Twin Neural Network Regression	9
A unified view of forward and backward losses for learning from weak labels	9
Pruning during training by network efficacy modeling	9
Temporal Graph Network Framework for Quantifying Pass Reception Probabilities Against Defensive Structures	9
Permutation-invariant linear classifiers	9
NaCL: noise-robust cross-domain contrastive learning for unsupervised domain adaptation	9
Gradient boosted trees for evolving data streams	9
LLiMe: enhancing text classifier explanations with large language models	9
Surface Target Detection Method Based on YOLO with Wavelet Analysis	9
Relational data embeddings for feature enrichment with background information	9
Calibrated explanations for regression	9
Hitting the target: stopping active learning at the cost-based optimum	9
Efficient federated unlearning under plausible deniability	9
Jaccard-constrained dense subgraph discovery	9
Ordinal Classification with Label-Dependent Loss	9
Apprenticeship Learning with Prior Beliefs Using Inverse Optimization	9
Forecasting the Evolution of Scientific Knowledge: A Dynamic Knowledge Graph Approach Integrating Temporal Embeddings and Large Language Models	9
Fast linear model trees by PILOT	9
How to be fair? A study of label and selection bias	9
Learning answer set programs with aggregates via sampling and genetic programming	9
Online learning of network bottlenecks via minimax paths	9

Quantitative Gaussian approximation of randomly initialized deep neural networks	9
Search or split: policy gradient with adaptive policy space	9
Low-Light Scene Text Image Enhancement in the Wild	8
Efficient quantification on large-scale networks	8
Wasserstein dropout	8
Explaining recommendation system using counterfactual textual explanations	8
S2TE: Staged Scale-Free Topology Evolution for Sparse Spiking Neural Networks	8
Diverse and consistent multi-view networks for semi-supervised regression	8
When Redundancy Matters: Machine Teaching of Representations	8
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization	8
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network	8
Correction to: A neural meta-model for predicting winter wheat crop yield	8
Understanding transfer learning and gradient-based meta-learning techniques	8
Nrat: towards adversarial training with inherent label noise	8
Adaptive collaborative minority oversampling for multi-class imbalanced classification	8
Distribution-free conformal joint prediction regions for neural marked temporal point processes	8
DISTFormer: Enhance 3D Human Pose Estimation via Dual Inverse-Order Spatial-Temporal Transformer	8
Graph spring neural ODEs for link sign prediction	8
Geometric-k-means: a bound free approach to fast and eco-friendly k-means	8
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	8
Federated learning with superquantile aggregation for heterogeneous data	8
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification	8
Information bottleneck and selective noise supervision for zero-shot learning	8
Monotone Composite Quantile Regression via Second-Order Gradient Boosting Framework	7
Generalizing universal adversarial perturbations for deep neural networks	7
Mechanistic Interpretability of ReLU Neural Networks Through Piecewise-Affine Mapping	7
Temporal ensemble of multiple patterns’ instances for continuous prediction of events	7
Gradient descent fails to learn high-frequency functions and modular arithmetic	7
On metafeatures’ ability of implicit concept identification	7
Addressing data dependency in neural networks: introducing the Knowledge Enhanced Neural Network (KENN) for time series forecasting +	7
ShuttleFlow: learning the distribution of subsequent badminton shots using normalizing flows	7
Neural MCTS with LLM Guidance for Effective Program Synthesis on Abstraction and Reasoning Corpus	7
Science-Gym: a simple testbed for AI-driven scientific discovery	7
Hierarchically structured task-agnostic continual learning	7
Unified convergence analysis for adaptive optimization with moving average estimator	7
In-game soccer outcome prediction with offline reinforcement learning	7
Stress detection with encoding physiological signals and convolutional neural network	7
Dense subgraphs induced by edge labels	7
Toward practical human-interpretable explanations	7
Cost-sensitive classification with cost uncertainty: do we need surrogate losses?	7
CoMadOut—a robust outlier detection algorithm based on CoMAD	7
SafeGen: safeguarding privacy and fairness through a genetic method	7
Sanitized clustering against confounding bias	7
Race Strategy Reinforcement Learning: Optimising Pitstop Strategy with Emergent Tactics in Formula One	7
Learning to rank anomalies: scalar performance criteria and maximization of rank statistics	7
GNN-Based Spatio-Temporal Manifold Learning: An Application of Landslide Prediction	7
Black-box Bayesian adversarial attack with transferable priors	7
Spatiotemporal-view member preference contrastive representation learning for group recommendation	7
KT-STFormer: Parallel Kinematic-Trajectory and Spatial-Temporal Fusion Transformer for 3D Human Pose Estimation	7
A framework for training larger networks for deep Reinforcement learning	6
Hellinger distance decision trees for PU learning in imbalanced data sets	6
A comparison of latent space modeling techniques in a plain-vanilla autoencoder setting	6
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma	6
Learning with risks based on M-location	6
Pairwise learning to rank by neural networks revisited: reconstruction, theoretical analysis and practical performance	6
Counterfactual Explanation Bake-Off: A Review and Experimental Evaluation for Time Series Classification	6
A systematic approach for learning imbalanced data: enhancing zero-inflated models through boosting	6
Towards efficient pareto-optimal utility-fairness between groups in repeated rankings	6
A new adaptive gradient method with gradient decomposition	6
Bridging XAI and spectral analysis to investigate the inductive biases of deep graph networks	6
Ranking-preserved generative label enhancement	6
A theoretical distribution analysis of synthetic minority oversampling technique (SMOTE) for imbalanced learning	6
Adaptive adapter routing for long-tailed class-incremental learning	6
State-novelty guided action persistence in deep reinforcement learning	6
DGNet: Dynamic Graph Networks for Multivariate Time Series Prediction	6
Linear Causal Discovery with Interventional Constraints	6
Gradient-based causal discovery with latent variables	6
DPG: a model to build feature subspace against adversarial patch attack	6
Automotive fault nowcasting with machine learning and natural language processing	6
Weakly Supervised Classification with Pre-Trained Models: A Robust Fine-Tuning Approach	6
Sandbox: safeguarded multi-label learning through safe optimal transport	6
Leveraging differentiable NAS and abstract genetic algorithms for optimizing on-mobile VSR performance	6
Tight mixed-integer optimization formulations for prescriptive trees	6
ALM-PU: positive and unlabeled learning with constrained optimization	6
The class imbalance problem in deep learning	6
Your Next State-of-the-Art Could Come from Another Domain: A Cross-Domain Analysis of Hierarchical Text Classification	6
Constraint- and Score-Based Nonlinear Granger Causality Discovery with Kernels	6
Boolean matrix logic programming for active learning of gene functions in genome-scale metabolic network models	6
GVFs in the real world: making predictions online for water treatment	6
Improving text processing via adversarial low-rank adaptation	6
Data-Driven Projection Generation for Efficiently Solving Heterogeneous Quadratic Programming Problems	6
Learning an adaptive forwarding strategy for mobile wireless networks: resource usage vs. latency	6
When are they coming? Understanding and forecasting the timeline of arrivals at the FC Barcelona stadium on match days	6
Variable selection for both outcomes and predictors: sparse multivariate principal covariates regression	6
Bayesian mixture variational autoencoders for multi-modal learning	6
Ddog: optimizing multi-hop inference via dual-driven retrieval and reasoning path	6
Recurrent segmentation meets block models in temporal networks	6
Randomized Approach to Matrix Completion: Applications in Recommendation Systems and Image Inpainting	5
Neural network structure simplification by assessing evolution in node weight magnitude	5
Margin distribution and structural diversity guided ensemble pruning	5
Source-free domain adaptation requires penalized diversity	5
Heterogeneous multi-task Gaussian Cox processes	5
A software architecture for verifiable and explainable classification	5
Physics encoded blocks in residual neural network architectures for digital twin models	5
Time series representations classroom (TSRC): a teacher-student-based framework for interpretability-enhanced unsupervised time series representation learning	5