Machine Learning

Article	Citations
Lifted model checking for relational MDPs	295
PT4Rec: a universal prompt-tuning framework for graph contrastive learning-based recommendations	184
Schema-tune: noise-driven bias mitigation in transformer-based language models	109
Robust query performance prediction for dense retrievers via adaptive disturbance generation	99
Interpretable optimisation-based approach for hyper-box classification	97
Sparse and smooth additive isotonic model in high-dimensional settings	86
Theoretical guarantees for domain adaptation with hierarchical optimal transport	84
Minimum discrepancy principle strategy for choosing k in k-NN regression	70
Tackle balancing constraints in semi-supervised ordinal regression	69
SA-LfV: self-annotated labeling from videos for object detection	67
Learning multi-axis representation in frequency domain for medical image segmentation	66
Resolving power: a general approach to compare the distinguishing ability of threshold-free evaluation metrics	58
PerfoRank: cluster-based performance ranking for improved performance evaluation and estimation in professional cycling	58
Misclassification bounds for PAC-Bayesian sparse deep learning	50
Dealing with the unevenness: deeper insights in graph-based attack and defense	49
Speeding up neural network robustness verification via algorithm configuration and an optimised mixed integer linear programming solver portfolio	47
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems	47
Non-technical losses detection in energy consumption focusing on energy recovery and explainability	44
Bandit algorithms to personalize educational chatbots	42
Spike2CGR: an efficient method for spike sequence classification using chaos game representation	40
Assessing machine learning and data imputation approaches to handle the issue of data sparsity in sports forecasting	39
Correction to: Deep negative correlation classification	39
De-biased two-sample U-statistics with application to conditional distribution testing	35
Adapting performance metrics for ordinal classification to interval scale: length matters	33
Efficient fair principal component analysis	31

A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety	30
Are LSTMs good few-shot learners?	28
Explainable online ensemble of deep neural network pruning for time series forecasting	28
PAC-learning with approximate predictors	28
Reachable sets of classifiers and regression models: (non-)robustness analysis and robust training	27
Multiclass optimal classification trees with SVM-splits	27
No regret sample selection with noisy labels	26
Modelling spatiotemporal dynamics from Earth observation data with neural differential equations	26
Multi-objective multi-armed bandit with lexicographically ordered and satisficing objectives	26
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search	26
Machine learning in corporate credit rating assessment using the expanded audit report	24
Robust reputation independence in ranking systems for multiple sensitive attributes	23
Adaptive infinite dropout for noisy and sparse data streams	23
Recursive tree grammar autoencoders	23
Utilising energy function and variational inference training for learning a graph neural network architecture	21
MAP inference algorithms without approximation for collective graphical models on path graphs via discrete difference of convex algorithm	21
Fairness seen as global sensitivity analysis	21
Jaccard-constrained dense subgraph discovery	21
Multi-consensus decentralized primal-dual fixed point algorithm for distributed learning	20
Compositional scene modeling with global object-centric representations	20
Nested barycentric coordinate system as an explicit feature map for polyhedra approximation and learning tasks	19
Optimal clustering from noisy binary feedback	19
Regional bias in monolingual English language models	19
Can metafeatures help improve explanations of prediction models when using behavioral and textual data?	19
The role of mutual information in variational classifiers	18
Normalizing flow sampling with Langevin dynamics in the latent space	18
Neural discovery of balance-aware polarized communities	18
A new large-scale learning algorithm for generalized additive models	18
Differentiable learning of matricized DNFs and its application to Boolean networks	17
How to be fair? A study of label and selection bias	17
A study of BERT for context-aware neural machine translation	17
Troubleshooting image segmentation models with human-in-the-loop	17
Subspace Adaptation Prior for Few-Shot Learning	17
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework	16
Multimodal deep learning for cetacean distribution modeling of fin whales (Balaenoptera physalus) in the western Mediterranean Sea	16
Pruning during training by network efficacy modeling	16
Towards harnessing feature embedding for robust learning with noisy labels	15
Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification	15
Explicit Explore, Exploit, or Escape ($$E^4$$): near-optimal safety-constrained reinforcement learning in polynomial time	15
Word embeddings for retrieving tabular data from research publications	15
Parameter identifiability of a deep feedforward ReLU neural network	15
Permutation-invariant linear classifiers	14
Manas: multi-agent neural architecture search	14
Semantic-enhanced graph neural networks with global context representation	14
Differentially private Riemannian optimization	14
InfoGram and admissible machine learning	13
AUTOMAT[R]IX: learning simple matrix pipelines	13
Reinforcement learning tutor better supported lower performers in a math task	13
Weighting non-IID batches for out-of-distribution detection	13
SAED: self-attentive energy disaggregation	13

PANACEA: a neural model ensemble for cyber-threat detection	13
Meta-learning for heterogeneous treatment effect estimation with closed-form solvers	13
One-Stage Tree: end-to-end tree builder and pruner	13
Towards adaptive unknown authentication for universal domain adaptation by classifier paradox	13
SWoTTeD: an extension of tensor decomposition to temporal phenotyping	13
On the benefits of representation regularization in invariance based domain generalization	12
Learning from crowds with sparse and imbalanced annotations	12
Partitioned hybrid learning of Bayesian network structures	12
Fast spectral analysis for approximate nearest neighbor search	12
Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	12
RB-CCR: Radial-Based Combined Cleaning and Resampling algorithm for imbalanced data classification	12
SAMBA: safe model-based & active reinforcement learning	12
Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations	12
Matrix-wise $$\ell _0$$-constrained sparse nonnegative least squares	11
Online learning of network bottlenecks via minimax paths	11
Traditional and context-specific spam detection in low resource settings	11
Positive-unlabeled classification under class-prior shift: a prior-invariant approach based on density ratio estimation	11
Embed2Detect: temporally clustered embedded words for event detection in social media	11
Hitting the target: stopping active learning at the cost-based optimum	11
SLISEMAP: supervised dimensionality reduction through local explanations	11
Achieving adversarial robustness via sparsity	11
Word embeddings-based transfer learning for boosted relational dependency networks	11
Riemannian block SPD coupling manifold and its application to optimal transport	10
SETAR-Tree: a novel and accurate tree algorithm for global time series forecasting	10
Adaptive covariate acquisition for minimizing total cost of classification	10
Partially observable environment estimation with uplift inference for reinforcement learning based recommendation	10
OWL2Vec*: embedding of OWL ontologies	10
Machine truth serum: a surprisingly popular approach to improving ensemble methods	10
On testing transitivity in online preference learning	10
Automated imbalanced classification via layered learning	10
Correction: Learning sample-aware threshold for semi-supervised learning	10
Graph-based semi-supervised learning via improving the quality of the graph dynamically	10
Smoothing policies and safe policy gradients	10
Correction to: Nettop: A lightweight-network of orthogonal-plane features for image recognition	10
A geometric framework for multiclass ensemble classifiers	10
Online strongly convex optimization with unknown delays	10
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations	10
Learning to bid and rank together in recommendation systems	10
HIVE-COTE 2.0: a new meta ensemble for time series classification	10
Semi-supervised Latent Block Model with pairwise constraints	10
Composition of relational features with an application to explaining black-box predictors	10
Enhanced route planning with calibrated uncertainty set	9
Inclusion of domain-knowledge into GNNs using mode-directed inverse entailment	9
Maximum causal entropy inverse constrained reinforcement learning	9
Explanatory machine learning for sequential human teaching	9
Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity	9
Weakly supervised change detection using guided anisotropic diffusion	9
Credal ensembling in multi-class classification	9
Calibrated explanations for regression	9
Fully convolutional open set segmentation	9
Kalt: generating adversarial explainable chinese legal texts	9
ResGCN: attention-based deep residual modeling for anomaly detection on attributed networks	9
Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models	9
Deep Errors-in-Variables using a diffusion model	9
Compression and restoration: exploring elasticity in continual test-time adaptation	9
Fast linear model trees by PILOT	9
Deep contrastive coordinated multi-view consistency clustering	8
Correction to: A neural meta-model for predicting winter wheat crop yield	8
A deep reinforcement learning framework for continuous intraday market bidding	8
Optimal survival trees	8
Temporal silhouette: validation of stream clustering robust to concept drift	8
Correction to: Extracting automata from recurrent neural networks using queries and counterexamples (extended version)	8
Neural RELAGGS	8
A review on instance ranking problems in statistical learning	8
Optimistic optimisation of composite objective with exponentiated update	8
Commonsense knowledge enhanced event graph representation learning for script event prediction	8
Glacier: guided locally constrained counterfactual explanations for time series classification	8
Bounding the Rademacher complexity of Fourier neural operators	8
Active model selection: A variance minimization approach	8
Inductive learning of answer set programs for autonomous surgical task planning	8
Guest editorial: special issue on reinforcement learning for real life	8
Relational data embeddings for feature enrichment with background information	8
Reconciling privacy and utility: an unscented Kalman filter-based framework for differentially private machine learning	8
RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods	8
L2XGNN: learning to explain graph neural networks	8
Distance metric learning for graph structured data	7
A user-guided Bayesian framework for ensemble feature selection in life science applications (UBayFS)	7
DPQ: dynamic pseudo-mean mixed-precision quantization for pruned neural network	7
iSOUP-SymRF: Symbolic feature ranking with random forests in online multi-target regression and multi-label classification	7
Evaluating large language models for user stance detection on X (Twitter)	7

Importance sampling in reinforcement learning with an estimated behavior policy	7
DEFT: distilling entangled factors by preventing information diffusion	7
Sample complexity of variance-reduced policy gradient: weaker assumptions and lower bounds	7
Fair and green hyperparameter optimization via multi-objective and multiple information source Bayesian optimization	7
Greedy structure learning from data that contain systematic missing values	7
Towards accurate knowledge transfer via target-awareness representation disentanglement	7
Methodology and evaluation in sports analytics: challenges, approaches, and lessons learned	7
Adaptive transformer modelling of density function for nonparametric survival analysis	7
Invariant representation learning via decoupling style and spurious features	7
A flexible class of dependence-aware multi-label loss functions	7
Optimal large-scale stochastic optimization of NDCG surrogates for deep learning	7
Generalization bounds for learning under graph-dependence: a survey	7
Wasserstein dropout	7
Tracking treatment effect heterogeneity in evolving environments	7
Communication-efficient clustered federated learning via model distance	7
Nrat: towards adversarial training with inherent label noise	7
Masked autoencoder for multiagent trajectories	7
Uncovering temporal patterns in visualizations of high-dimensional data	7
RGCVAE: relational graph conditioned variational autoencoder for molecule design	7
Symbolic DNN-Tuner	7
Understanding imbalanced data: XAI & interpretable ML framework	6
Deep doubly robust outcome weighted learning	6
Neighborhood relation-based incremental label propagation algorithm for partially labeled hybrid data	6
A taxonomy for similarity metrics between Markov decision processes	6
FairSwiRL: fair semi-supervised classification with representation learning	6
SVRG meets AdaGrad: painless variance reduction	6
Linear support vector regression with linear constraints	6
Deep multimodal representation learning for generalizable person re-identification	6
Explaining recommendation system using counterfactual textual explanations	6
Discordance minimization-based imputation algorithms for missing values in rating data	6
DynamiSE: dynamic signed network embedding for link prediction	6
Information bottleneck and selective noise supervision for zero-shot learning	6
Online active classification via margin-based and feature-based label queries	6
Learning any memory-less discrete semantics for dynamical systems represented by logic programs	6
Spatial entropy as an inductive bias for vision transformers	6
Federated learning with superquantile aggregation for heterogeneous data	6
Meta-classifier free negative sampling for extreme multilabel classification	6
Markov chain importance sampling for minibatches	6
Entity recognition based on heterogeneous graph reasoning of visual region and text candidate	6
Root-finding approaches for computing conformal prediction set	6
Efficient private SCO for heavy-tailed data via averaged clipping	6
POMDP inference and robust solution via deep reinforcement learning: an application to railway optimal maintenance	6
Diverse and consistent multi-view networks for semi-supervised regression	6
Lagrangian objective function leads to improved unforeseen attack generalization	6
TSFuse: automated feature construction for multiple time series data	5
Limits of multi-relational graphs	5
Time-aware tensor decomposition for sparse tensors	5
Ensemble and continual federated learning for classification tasks	5
Learning from interpretation transition using differentiable logic programming semantics	5
Beyond confusion matrix: learning from multiple annotators with awareness of instance features	5
An accelerated proximal algorithm for regularized nonconvex and nonsmooth bi-level optimization	5
Generalized vec trick for fast learning of pairwise kernel models	5
Holistic deep learning	5
Style spectroscope: improve interpretability and controllability through Fourier analysis	5
Robustness verification of ReLU networks via quadratic programming	5
Robust linear classification from limited training data	5
Polynomial-based graph convolutional neural networks for graph classification	5
Large scale tensor regression using kernels and variational inference	5
Optimal transport for conditional domain matching and label shift	5
Variance reduction on general adaptive stochastic mirror descent	5
Reinforcement learning for robotic manipulation using simulated locomotion demonstrations	5
Nested aggregation of experts using inducing points for approximated Gaussian process regression	5
IntelligentPooling: practical Thompson sampling for mHealth	5
Improving sequential latent variable models with autoregressive flows	5
Hierarchically structured task-agnostic continual learning	5
Coefficient tree regression: fast, accurate and interpretable predictive modeling	5
SDANet: spatial deep attention-based for point cloud classification and segmentation	5
GENs: generative encoding networks	5
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning	5
Meta-learning the invariant representation for domain generalization	5