Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
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
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'25
Papers (including subtopics)
Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations
AAAI 2026
Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction
AAAI 2026
Sampling Control for Imbalanced Calibration in Semi-Supervised Learning
AAAI 2026
Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models
AAAI 2026
Sandwiching Polynomials for Geometric Concepts with Low Intrinsic Dimension
COLT 2026
SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger
AAAI 2026
SAR-DisentDM: A Semantic-Disentangled Diffusion Model for Limited-Data SAR Image Synthesis
AAAI 2026
SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation
WACV 2026
SASNet: Spatially-Adaptive Sinusoidal Networks for INRs
CVPR 2026
Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery
AAAI 2026
Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting
AAAI 2026
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance
WACV 2026
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
AAAI 2026
Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding
AAAI 2026
Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization
AAAI 2026
Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study
AAAI 2026
Scalable Data-Driven Reachability Analysis and Control via Koopman Operators with Conformal Coverage Guarantees
L4DC 2026
Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction
L4DC 2026
Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition
AAAI 2026
Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
UAI 2026
Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation
AAAI 2026
Scalable Multi-View Subspace Clustering with Tensorized Anchor Guidance
CVPR 2026
Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation
AAAI 2026
Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks
AAAI 2026
Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint)
AAAI 2026