conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,289 papers

Papers per year

Papers

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems AAAI 2024
Finding Interpretable Class-Specific Patterns through Efficient Neural Search AAAI 2024
Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion AAAI 2024
Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems AAAI 2024
ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning AAAI 2024
Learning Small Decision Trees for Data of Low Rank-Width AAAI 2024
TREE-G: Decision Trees Contesting Graph Neural Networks AAAI 2024
HyperFast: Instant Classification for Tabular Data AAAI 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024
Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks AAAI 2024
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning AAAI 2024
A Provably Accurate Randomized Sampling Algorithm for Logistic Regression AAAI 2024
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network AAAI 2024
Exploiting Label Skews in Federated Learning with Model Concatenation AAAI 2024
Multi-View Randomized Kernel Classification via Nonconvex Optimization AAAI 2024
Symbolic Regression Enhanced Decision Trees for Classification Tasks AAAI 2024
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective AAAI 2024
Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification AAAI 2024
Improving Distinguishability of Class for Graph Neural Networks AAAI 2024
Generative Calibration of Inaccurate Annotation for Label Distribution Learning AAAI 2024
Exploring Channel-Aware Typical Features for Out-of-Distribution Detection AAAI 2024
Learning Only When It Matters: Cost-Aware Long-Tailed Classification AAAI 2024
Optimal Survival Trees: A Dynamic Programming Approach AAAI 2024