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)
From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs
AAAI 2025
FrontierScience Bench: Evaluating AI Research Capabilities in LLMs
ACL 2025
Frontiers to the learning of nonparametric hidden Markov models
JMLR 2025
Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers
AAAI 2025
Frozen Layers: Memory-efficient Many-fidelity Hyperparameter Optimization
AutoML 2025
FR-Spec: Accelerating Large-Vocabulary Language Models via Frequency-Ranked Speculative Sampling
ACL 2025
FRUGAL: Memory-Efficient Optimization by Reducing State Overhead for Scalable Training
ICML 2025
FrugalNeRF: Fast Convergence for Extreme Few-shot Novel View Synthesis without Learned Priors
CVPR 2025
FSBench: A Figure Skating Benchmark for Advancing Artistic Sports Understanding
CVPR 2025
FSboard: Over 3 Million Characters of ASL Fingerspelling Collected via Smartphones
CVPR 2025
FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding
COLING 2025
FSFM: A Generalizable Face Security Foundation Model via Self-Supervised Facial Representation Learning
CVPR 2025
FS-KEN: Few-shot Knowledge Graph Reasoning by Adversarial Negative Enhancing
IJCAI 2025
FSL-Rectifier: Rectify Outliers in Few-Shot Learning via Test-Time Augmentation
AAAI 2025
FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation
ICML 2025
FSTLLM: Spatio-Temporal LLM for Few Shot Time Series Forecasting
ICML 2025
FSTs vs ICL: Generalisation in LLMs for an under-resourced language
EMNLP 2025
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
COLING 2025
FT-MDT: Extracting Decision Trees from Medical Texts via a Novel Low-rank Adaptation Method
EMNLP 2025
Full-Step-DPO: Self-Supervised Preference Optimization with Step-wise Rewards for Mathematical Reasoning
ACL 2025
Full Swap Regret and Discretized Calibration
ALT 2025
Fully Dynamic Embedding into ℓ_p Spaces
ICML 2025
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
ICML 2025
Fully Few-shot Class-incremental Audio Classification Using Multi-level Embedding Extractor and Ridge Regression Classifier
Interspeech 2025
Fully Heteroscedastic Count Regression with Deep Double Poisson Networks
ICML 2025