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)
Feasible Learning
AISTATS 2025
FEAT: A Preference Feedback Dataset through a Cost-Effective Auto-Generation and Labeling Framework for English AI Tutoring
ACL 2025
Feather the Throttle: Revisiting Visual Token Pruning for Vision-Language Model Acceleration
ICCV 2025
FEAT-KD: Learning Concise Representations for Single and Multi-Target Regression via TabNet Knowledge Distillation
ICML 2025
Feature Attribution for Deep Learning Models through Total Variance Decomposition
MIDL 2025
Feature Augmentation Based Test-Time Adaptation
WACV 2025
Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks
ICLR 2025
Feature-Based Online Bilateral Trade
ICLR 2025
Feature Clipping for Uncertainty Calibration
AAAI 2025
Feature Coding in the Era of Large Models: Dataset, Test Conditions, and Benchmark
ICCV 2025
Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis
IJCNLP 2025
Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning
ICCV 2025
Feature Denoising Diffusion Model for Blind Image Quality Assessment
AAAI 2025
Feature Engineering is not Dead: A Step Towards State of the Art for Arabic Automated Essay Scoring
EMNLP 2025
Feature Extraction and Representation of Pre-training Point Cloud Based on Diffusion Models
ICCV 2025
Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language Models
EMNLP 2025
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptation
WACV 2025
Feature Learning beyond the Lazy-Rich Dichotomy: Insights from Representational Geometry
ICML 2025
Feature learning from non-Gaussian inputs: the case of Independent Component Analysis in high dimensions
ICML 2025
Feature Learning in Finite-Width Bayesian Deep Linear Networks with Multiple Outputs and Convolutional Layers
JMLR 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Feature-Level Insights into Artificial Text Detection with Sparse Autoencoders
ACL 2025
Feature-Mapping Topology Optimization with Neural Heaviside Signed Distance Functions
ICML 2025
Feature out! Let Raw Image as Your Condition for Blind Face Restoration
ICML 2025
Feature-Preserving Mesh Decimation for Normal Integration
CVPR 2025