Learning Types
56,253 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Self-Supervised Learning (8,965)
Adversarial Learning (5,204)
Unsupervised Learning (4,874)
Transfer Learning (4,808)
Weakly Supervised Learning (3,938)
Contrastive Learning (3,748)
Zero-Shot Learning (3,130)
Semi-Supervised Learning (3,128)
Reinforcement Learning (3,118)
Multi-Task Learning (2,556)
Evaluation (2,164)
Continual Learning (2,107)
Active Learning (1,983)
Few-Shot Learning (1,840)
Deep Learning (1,404)
Online Learning (1,360)
Multi-Armed Bandits (1,327)
Multimodal Learning (1,289)
Supervised Learning (986)
Multi-Agent Systems (813)
Uncertainty Quantification (805)
Causal Inference (636)
Robustness (576)
Retrieval-Augmented Generation (565)
Fine-Tuning (490)
Ensemble Learning (482)
In-Context Learning (439)
Multi-Label Classification (430)
Imitation Learning (387)
Prompt Engineering (270)
Multi-Lingual Learning (269)
Distribution Shift (264)
Reinforcement Learning from Human Feedback (209)
Regularization (207)
Exploration-Exploitation (203)
Generative Models (200)
Multi-Objective Optimization (185)
Out-of-Distribution Detection (176)
Sparse Learning (165)
Sampling (150)
Preference Learning (136)
Offline Reinforcement Learning (130)
Multi-Label Learning (128)
Markov Decision Process (127)
Neural Architecture Search (122)
Multi-Instance Learning (121)
Multi-View Learning (117)
Robust Learning (110)
Generative Model (110)
Time Series (108)
Large Language Models (104)
Exploration (103)
Hyperparameter Optimization (99)
Machine Unlearning (95)
Imbalanced Learning (93)
Machine Translation (93)
Multi-Class Classification (85)
Differential Privacy (82)
Time Series Analysis (71)
Reasoning (70)
Calibration (67)
Structure Learning (66)
Physics-Informed Learning (62)
Class Imbalance (58)
Model-Based RL (55)
Interactive Learning (55)
Multi-Domain Learning (47)
Inverse Reinforcement Learning (46)
Crowdsourcing (40)
Off-Policy Learning (38)
Label Noise (38)
Noisy Label Learning (35)
Offline RL (32)
Attention (32)
Evolutionary Algorithm (32)
Decision Making (31)
Policy Learning (30)
Personalization (28)
Low-Resource Learning (26)
Collaborative Filtering (25)
Self-Training (24)
Sequential Modeling (24)
Parameter Estimation (23)
Survival Analysis (21)
Machine Learning (20)
Parameter-Efficient Fine-Tuning (20)
Synthetic Data Generation (20)
Annotation (18)
Symbolic Regression (18)
AutoML (16)
Security (15)
Multi-Source Learning (13)
Distant Supervision (13)
Text Generation (11)
Distributional Reinforcement Learning (9)
Sentiment Analysis (9)
Multi-Hop Reasoning (9)
Language Modeling (9)
Code Generation (8)
Multi-Object Tracking (8)
Natural Language Inference (7)
Chain-of-Thought (6)
Question Answering (5)
Papers per year
1
8
12
26
18
20
135
136
147
149
220
231
316
526
460
477
660
1,314
2,083
3,689
4,652
5,914
6,826
8,201
8,755
9,258
2,019
2000
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Papers (including subtopics)
Please Translate Again: Two Simple Experiments on Whether Human-Like Reasoning Helps Translation
EMNLP 2025
PLeaS - Merging Models with Permutations and Least Squares
CVPR 2025
PLLuM-Align: Polish Preference Dataset for Large Language Model Alignment
EMNLP 2025
PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
WACV 2025
p-Mean Regret for Stochastic Bandits
AAAI 2025
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs
EMNLP 2025
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models
EMNLP 2025
PNAct: Crafting Backdoor Attacks in Safe Reinforcement Learning
IJCAI 2025
Podcast Outcasts: Understanding Rumble’s Podcast Dynamics
NAACL 2025
Poetry in RAGs: Modern Greek interwar poetry generation using RAG and contrastive training
NAACL 2025
POI-Enhancer: An LLM-based Semantic Enhancement Framework for POI Representation Learning
AAAI 2025
Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances
CVPR 2025
Point-Cache: Test-time Dynamic and Hierarchical Cache for Robust and Generalizable Point Cloud Analysis
CVPR 2025
Point Cloud Color Upsampling with Attention-Based Coarse Colorization and Refinement
WACV 2025
Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
IJCAI 2025
Point Cloud Self-supervised Learning via 3D to Multi-view Masked Learner
ICCV 2025
Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
AAAI 2025
PointGAC: Geometric-Aware Codebook for Masked Point Modeling
ICCV 2025
Pointing to a Llama and Call it a Camel: On the Sycophancy of Multimodal Large Language Models
EMNLP 2025
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud
WACV 2025
PointLoRA: Low-Rank Adaptation with Token Selection for Point Cloud Learning
CVPR 2025
PointOBB-v2: Towards Simpler, Faster, and Stronger Single Point Supervised Oriented Object Detection
ICLR 2025
Point-SAM: Promptable 3D Segmentation Model for Point Clouds
ICLR 2025
POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion
EMNLP 2025
PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
CVPR 2025