conftrace_
← Core Methods
Machine Learning › Core Methods ›

Classification

15,289 papers

Papers per year

Papers

Long-Tailed Learning as Multi-Objective Optimization AAAI 2024
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference AAAI 2024
Frequency Shuffling and Enhancement for Open Set Recognition AAAI 2024
Cross-Layer and Cross-Sample Feature Optimization Network for Few-Shot Fine-Grained Image Classification AAAI 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
Entropic Open-Set Active Learning AAAI 2024
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning AAAI 2024
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning AAAI 2024
Spatial-Semantic Collaborative Cropping for User Generated Content AAAI 2024
Exploring Diverse Representations for Open Set Recognition AAAI 2024
Decoupled Contrastive Learning for Long-Tailed Recognition AAAI 2024
FoSp: Focus and Separation Network for Early Smoke Segmentation AAAI 2024
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning AAAI 2024
Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point AAAI 2024
Intentional Evolutionary Learning for Untrimmed Videos with Long Tail Distribution AAAI 2024
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization AAAI 2024
Cross-Covariate Gait Recognition: A Benchmark AAAI 2024
RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection AAAI 2024
Dense Projection for Anomaly Detection AAAI 2024
Your Career Path Matters in Person-Job Fit AAAI 2024
Label Attentive Distillation for GNN-Based Graph Classification AAAI 2024
ReGCL: Rethinking Message Passing in Graph Contrastive Learning AAAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering AAAI 2024
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation AAAI 2024
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach AAAI 2024