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Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes

Learning to Augment Graph Structure for both Homophily and Heterophily Graphs

MMA: Multi-Metric-Autoencoder for Analyzing High-Dimensional and Incomplete Data

Sample Prior Guided Robust Model Learning to Suppress Noisy Labels

Unsupervised Deep Cross-Language Entity Alignment

Learning Representations for Bipartite Graphs Using Multi-task Self-supervised Learning

Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns

DCID: Deep Canonical Information Decomposition

Exploring and Exploiting Data-Free Model Stealing

Real: A Representative Error-Driven Approach for Active Learning

ChiENN: Embracing Molecular Chirality with Graph Neural Networks

Exploring the Training Robustness of Distributional Reinforcement Learning Against Noisy State Observations

Negative Prototypes Guided Contrastive Learning for Weakly Supervised Object Detection

Knowledge-Driven Active Learning

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning

Overcoming the Limitations of Localization Uncertainty: Efficient and Exact Non-linear Post-processing and Calibration

Voting from Nearest Tasks: Meta-Vote Pruning of Pre-trained Models for Downstream Tasks

Multi-label Image Classification with Multi-scale Global-Local Semantic Graph Network

ActiveGLAE: A Benchmark for Deep Active Learning with Transformers

SALAS: Supervised Aspect Learning Improves Abstractive Multi-document Summarization Through Aspect Information Loss

Label Shift Quantification with Robustness Guarantees via Distribution Feature Matching

Make a Long Image Short: Adaptive Token Length for Vision Transformers

CasSampling: Exploring Efficient Cascade Graph Learning for Popularity Prediction

KL Regularized Normalization Framework for Low Resource Tasks

DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification

Graph Rebasing and Joint Similarity Reconstruction for Cross-Modal Hash Retrieval

Robust Classification of High-Dimensional Data Using Data-Adaptive Energy Distance

Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation

Improving Autoregressive NLP Tasks via Modular Linearized Attention

Quantifying Robustness to Adversarial Word Substitutions

DualMatch: Robust Semi-supervised Learning with Dual-Level Interaction

ARConvL: Adaptive Region-Based Convolutional Learning for Multi-class Imbalance Classification

ENGAGE: Explanation Guided Data Augmentation for Graph Representation Learning

Enhancing Table Retrieval with Dual Graph Representations

Enhancing Adversarial Training via Reweighting Optimization Trajectory

Detecting Evasion Attacks in Deployed Tree Ensembles

Modeling Graphs Beyond Hyperbolic: Graph Neural Networks in Symmetric Positive Definite Matrices

Binary Domain Generalization for Sparsifying Binary Neural Networks

A Few Good Sentences: Content Selection for Abstractive Text Summarization

Adversarial Imitation Learning with Controllable Rewards for Text Generation

Deep Imbalanced Time-Series Forecasting via Local Discrepancy Density

Leveraging Free Labels to Power up Heterophilic Graph Learning in Weakly-Supervised Settings: An Empirical Study

Efficient Hyperdimensional Computing

Encouraging Sparsity in Neural Topic Modeling with Non-Mean-Field Inference

Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning

Online Deep Hybrid Ensemble Learning for Time Series Forecasting

Rényi Divergence Deep Mutual Learning

Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

The Metric is the Message: Benchmarking Challenges for Neural Symbolic Regression

Adversarial Sample Detection Through Neural Network Transport Dynamics

Sparse Transformer Hawkes Process for Long Event Sequences

Is My Neural Net Driven by the MDL Principle?

The Mont Blanc of Twitter: Identifying Hierarchies of Outstanding Peaks in Social Networks

Symbolic Regression via Control Variable Genetic Programming

CVTGAD: Simplified Transformer with Cross-View Attention for Unsupervised Graph-Level Anomaly Detection

Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification

Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression

RBNets: A Reinforcement Learning Approach for Learning Bayesian Network Structure

Neural Class Expression Synthesis in <inline-formula><alternatives><math xmlns="http://www.w3.org/1998/Math/MathML"><mrow><mi>ALCHIQ</mi><mo>(</mo><mi>D</mi><mo>)</mo></mrow></math><tex-math>\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {ALCHIQ(D)}$$\end{document}</tex-math><inline-graphic></inline-graphic></alternatives></inline-formula>

Graph-Level Anomaly Detection via Hierarchical Memory Networks

Efficient Adaptive Spatial-Temporal Attention Network for Traffic Flow Forecasting

Learning Distinct Features Helps, Provably

A Unified Spectral Rotation Framework Using a Fused Similarity Graph

Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approach

Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection

Estimating Dynamic Time Warping Distance Between Time Series with Missing Data

Continuous Depth Recurrent Neural Differential Equations

SimSky: An Accuracy-Aware Algorithm for Single-Source SimRank Search

ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction

Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal

Uncovering Multivariate Structural Dependency for Analyzing Irregularly Sampled Time Series

Mitigating Algorithmic Bias with Limited Annotations

Online Network Source Optimization with Graph-Kernel MAB

NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networks

DSV: An Alignment Validation Loss for Self-supervised Outlier Model Selection

Weighted Multivariate Mean Reversion for Online Portfolio Selection

<inline-formula><alternatives><tex-math>\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathrm FG^2AN$$\end{document}</tex-math><inline-graphic></inline-graphic></alternatives></inline-formula>: Fairness-Aware Graph Generative Adversarial Networks

Quantifying Node-Based Core Resilience

Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks

Marvolo: Programmatic Data Augmentation for Deep Malware Detection

H<inline-formula><alternatives><tex-math>\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$^2$$\end{document}</tex-math><inline-graphic></inline-graphic></alternatives></inline-formula>-Nets: Hyper-hodge Convolutional Neural Networks for Time-Series Forecasting

Targeting the Source: Selective Data Curation for Debiasing NLP Models

Construction and Training of Multi-Associative Graph Networks

Improved Multi-label Propagation for Small Data with Multi-objective Optimization

A Transductive Forest for Anomaly Detection with Few Labels

Overcoming Catastrophic Forgetting for Fine-Tuning Pre-trained GANs

Skeletal Cores and Graph Resilience

Fairness in Multi-Task Learning via Wasserstein Barycenters

Fast Convergence of Random Reshuffling Under Over-Parameterization and the Polyak-Łojasiewicz Condition

Co-Evolving Graph Reasoning Network for Emotion-Cause Pair Extraction

GDM: Dual Mixup for Graph Classification with Limited Supervision

Unsupervised Domain Adaptation via Bidirectional Cross-Attention Transformer

REST: Enhancing Group Robustness in DNNs Through Reweighted Sparse Training

A Scalable Solution for the Extended Multi-channel Facility Location Problem

SpotGAN: A Reverse-Transformer GAN Generates Scaffold-Constrained Molecules with Property Optimization

Two-Stage Denoising Diffusion Model for Source Localization in Graph Inverse Problems

Multiple-Source Adaptation Using Variational Rényi Bound Optimization

How to Overcome Confirmation Bias in Semi-Supervised Image Classification by Active Learning

Online State Exploration: Competitive Worst Case and Learning-Augmented Algorithms

Spatio-Temporal Pyramid Networks for Traffic Forecasting