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)
Parallel Continuous Chain-of-Thought with Jacobi Iteration
EMNLP 2025
Parallel Corpora for Machine Translation in Low-Resource Indic Languages: A Comprehensive Review
NAACL 2025
Parallelized Autoregressive Visual Generation
CVPR 2025
Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA
AAAI 2025
Parallel Simulation for Log-concave Sampling and Score-based Diffusion Models
ICML 2025
ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost
ICLR 2025
Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization
ICLR 2025
Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
ACL 2025
Parameter-Efficient Adaptation of Geospatial Foundation Models through Embedding Deflection
ICCV 2025
Parameter-efficient Fine-tuning in Hyperspherical Space for Open-vocabulary Semantic Segmentation
CVPR 2025
Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace
COLING 2025
Parameter-Efficient Fine-Tuning of State Space Models
ICML 2025
Parameter-Efficient Fine-Tuning via Circular Convolution
ACL 2025
Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors
IJCAI 2025
Parameter Efficient Mamba Tuning via Projector-targeted Diagonal-centric Linear Transformation
CVPR 2025
Parameter estimation in state space models using particle importance sampling
AISTATS 2025
Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
ICLR 2025
Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models
NAACL 2025
Parameterized Approximation Algorithm for Doubly Constrained Fair Clustering
IJCAI 2025
Parameterized Blur Kernel Prior Learning for Local Motion Deblurring
CVPR 2025
Parameterized Complexity of Caching in Networks
AAAI 2025
Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models
ICML 2025
Parametric Scaling Law of Tuning Bias in Conformal Prediction
ICML 2025
Parametric ρ-Norm Scaling Calibration
AAAI 2025
PaRa: Personalizing Text-to-Image Diffusion via Parameter Rank Reduction
ICLR 2025