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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'25
Papers (including subtopics)
RDPA: Real-Time Distributed-Concentrated Penetration Attack for Point Cloud Learning
IJCAI 2025
RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation
AAAI 2025
Re3Syn: A Dependency-Based Data Synthesis Framework for Long-Context Post-training
ACL 2025
ReachAgent: Enhancing Mobile Agent via Page Reaching and Operation
NAACL 2025
ReactGPT: Understanding of Chemical Reactions via In-Context Tuning
AAAI 2025
ReAct Meets Industrial IoT: Language Agents for Data Access
EMNLP 2025
Readability Reconsidered A Cross-Dataset Analysis of Reference-Free Metrics
EMNLP 2025
Read Before Grounding: Scene Knowledge Visual Grounding via Multi-step Parsing
COLING 2025
ReadCtrl: Personalizing text generation with readability-controlled instruction learning
NAACL 2025
Reading Between the Lines: A dataset and a study on why some texts are tougher than others
COLING 2025
Reading Your Heart: Learning ECG Words and Sentences via Pre-training ECG Language Model
ICLR 2025
Read it in Two Steps: Translating Extremely Low-Resource Languages with Code-Augmented Grammar Books
ACL 2025
Ready for You When You Are Back: Content-Driven Session-Based Recommendation for Continuity of Experience
AAAI 2025
Read Your Own Mind: Reasoning Helps Surface Self-Confidence Signals in LLMs
EMNLP 2025
Real3D: Towards Scaling Large Reconstruction Models with Real Images
ICCV 2025
Real, Fake, or Manipulated? Detecting Machine-Influenced Text
EMNLP 2025
RealHiTBench: A Comprehensive Realistic Hierarchical Table Benchmark for Evaluating LLM-Based Table Analysis
ACL 2025
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning
EMNLP 2025
Re-Align: Aligning Vision Language Models via Retrieval-Augmented Direct Preference Optimization
EMNLP 2025
Realistic Evaluation of Deep Partial-Label Learning Algorithms
ICLR 2025
Realistic Training Data Generation and Rule Enhanced Decoding in LLM for NameGuess
EMNLP 2025
REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark
ACL 2025
REALM: Recursive Relevance Modeling for LLM-based Document Re-Ranking
EMNLP 2025
Real-time Ad Retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising
EMNLP 2025
Real-time Factuality Assessment from Adversarial Feedback
ACL 2025