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
'20
'25
Papers (including subtopics)
Generalized additive models via direct optimization of regularized decision stump forests
ICML 2025
Generalized and Efficient 2D Gaussian Splatting for Arbitrary-scale Super-Resolution
ICCV 2025
Generalized Behavior Learning from Diverse Demonstrations
ICLR 2025
Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization
ICML 2025
Generalized Class Discovery in Instance Segmentation
AAAI 2025
Generalized Convergence Analysis of Tsetlin Automaton Based Algorithms: A Probabilistic Approach to Concept Learning
AAAI 2025
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
AISTATS 2025
Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval
AAAI 2025
Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence
ICCV 2025
Generalized Diffusion Detector: Mining Robust Features from Diffusion Models for Domain-Generalized Detection
CVPR 2025
Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance
AAAI 2025
Generalized Embedding Models for Industry 4.0 Applications
EMNLP 2025
Generalized Few-shot 3D Point Cloud Segmentation with Vision-Language Model
CVPR 2025
Generalized Few-Shot Point Cloud Segmentation via LLM-Assisted Hyper-Relation Matching
ICCV 2025
Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
CVPR 2025
Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
AAAI 2025
Generalized Interpolating Discrete Diffusion
ICML 2025
Generalized multi-view model: Adaptive density estimation under low-rank constraints
JMLR 2025
Generalized Principal-Agent Problem with a Learning Agent
ICLR 2025
Generalized Random Forests Using Fixed-Point Trees
ICML 2025
Generalized Recorrupted-to-Recorrupted: Self-Supervised Learning Beyond Gaussian Noise
CVPR 2025
Generalized Smooth Bilevel Optimization with Nonconvex Lower-Level
ICML 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
ICCV 2025
Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction
ICML 2025
Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation
CVPR 2025