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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Papers (including subtopics)
Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding
AAAI 2026
Fine-grained Image Aesthetic Assessment: Learning Discriminative Scores from Relative Ranks
CVPR 2026
Fine-grained Image Quality Assessment for Perceptual Image Restoration
AAAI 2026
Fine-Grained Image Retrieval via Dual-Vision Adaptation
AAAI 2026
Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach
AAAI 2026
FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
AAAI 2026
Fine-Tuned LLMs Know They Don’t Know: A Parameter-Efficient Approach to Recovering Honesty
AAAI 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
CVPR 2026
Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract)
AAAI 2026
Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
JMLR 2026
Finite Sample Bounds for Learning with Score Matching
COLT 2026
Finite-Sample Regret Analysis of Nash Q-Learning with Random-Feature Approximation
UAI 2026
Finite-Time Decoupled Convergence in Nonlinear Two-Time-Scale Stochastic Approximation
JMLR 2026
FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs’ Math Reasoning Capabilities in Finance
AAAI 2026
F-INR: Functional Tensor Decomposition for Implicit Neural Representations
WACV 2026
Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding
AAAI 2026
FIRM-MoE:Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference
AAAI 2026
First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View
AAAI 2026
First-Order Error Matters: Accurate Compensation for Quantized Large Language Models
AAAI 2026
First-Order Softmax Weighted Switching Gradient Method for Distributed Stochastic Minimax Optimization with Stochastic Constraints
UAI 2026
Fixed-Confidence Best-Arm Identification for Causal Mediation Analysis
UAI 2026
FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer
AAAI 2026
FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models
AAAI 2026
FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
AAAI 2026
FLAT-LLM: Fine-grained Low-rank Activation Space Transformation for Large Language Model Compression
EACL 2026