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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'25
Papers (including subtopics)
Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training
ACL 2026
Proxy-Guided Measurement Calibration
CLeaR 2026
Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion
AAAI 2026
Prune4Web: DOM Tree Pruning Programming for Web Agent
AAAI 2026
Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation
AAAI 2026
Prune Wisely, Reconstruct Sharply: Compact 3D Gaussian Splatting via Adaptive Pruning and Difference-of-Gaussian Primitives
CVPR 2026
PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis
AAAI 2026
PSA-MIL: A Probabilistic Spatial Attention-Based Multiple Instance Learning for Whole Slide Image Classification
WACV 2026
PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning
AAAI 2026
Pseudo-Likelihood Training for Reasoning Diffusion Language Models
EACL 2026
Pseudo Multi-view K-means Clustering
AAAI 2026
Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks
AAAI 2026
PSK at SemEval-2026 Task 9: Multilingual Polarization Detection Using Ensemble Gemma Models with Synthetic Data Augmentation
SemEval 2026
P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning
AAAI 2026
PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization
AAAI 2026
PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract)
AAAI 2026
PTEB: Towards Robust Text Embedding Evaluation via Stochastic Paraphrasing at Evaluation Time with LLMs
EACL 2026
PUFM: Efficient Point Cloud Upsampling via Flow Matching
AAAI 2026
Punctuations and Predicates in Language Models
EACL 2026
Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge
AAAI 2026
Putting Fair Division on the Map
AAAI 2026
PVeRA: Probabilistic Vector-Based Random Matrix Adaptation
WACV 2026
py/cuTAGI: An Open-Source Library for Tractable Approximate Gaussian Inference in Bayesian Neural Networks
JMLR 2026
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
AAAI 2026
QAL : A Loss for Recall-Precision Balance in 3D Reconstruction
WACV 2026