conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Multiple Feature Refining Network for Visual Emotion Distribution Learning AAAI 2025 Multiple Instance Verification JMLR 2025 Multiple Mean-Payoff Optimization Under Local Stability Constraints AAAI 2025 Multiple Object Tracking as ID Prediction CVPR 2025 Multiple-policy Evaluation via Density Estimation ICML 2025 Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation AAAI 2025 Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits AAAI 2025 Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization UAI 2025 Multiplex Graph Representation Learning with Homophily and Consistency AAAI 2025 Multiplicative Logit Adjustment Approximates Neural-Collapse-Aware Decision Boundary Adjustment ICLR 2025 MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts EMNLP 2025 Multi-Programming Language Sandbox for LLMs ACL 2025 Multi-Prompting Decoder Helps Better Language Understanding ACL 2025 MultiProp Framework: Ensemble Models for Enhanced Cross-Lingual Propaganda Detection in Social Media and News using Data Augmentation, Text Segmentation, and Meta-Learning COLING 2025 Multirate Neural Image Compression with Adaptive Lattice Vector Quantization CVPR 2025 Multi-Reference Preference Optimization for Large Language Models AAAI 2025 Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection ICLR 2025 Multi-Reward as Condition for Instruction-based Image Editing ICLR 2025 Multi-scale Activation, Refinement, and Aggregation: Exploring Diverse Cues for Fine-Grained Bird Recognition AAAI 2025 Multi-Scale Contrastive Learning for Video Temporal Grounding AAAI 2025 Multi-Scale Fusion for Object Representation ICLR 2025 Multi-Scale Graph Learning for Anti-Sparse Downscaling AAAI 2025 Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds CVPR 2025 Multi-Scale Temporal Neural Network for Stock Trend Prediction Enhanced by Temporal Hyepredge Learning IJCAI 2025 Multi-Schema Proximity Network for Composed Image Retrieval ICCV 2025