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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'20
'25
Papers (including subtopics)
A French Version of the OLDI Seed Corpus
EMNLP 2025
Africa Health Check: Probing Cultural Bias in Medical LLMs
EMNLP 2025
AFRIDOC-MT: Document-level MT Corpus for African Languages
EMNLP 2025
AfroXLMR-Social: Adapting Pre-trained Language Models for African Languages Social Media Text
EMNLP 2025
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization
EMNLP 2025
AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models
ACL 2025
A Generalization Theory for Zero-Shot Prediction
ICML 2025
A Generalized Diffusion Framework with Learnable Propagation Dynamics for Source Localization
IJCAI 2025
A Generalized Theory of Mixup for Structure-Preserving Synthetic Data
AISTATS 2025
A Generative Adaptive Replay Continual Learning Model for Temporal Knowledge Graph Reasoning
ACL 2025
A Generative Approach at the Instance-Level for Image Segmentation Under Limited Training Data Conditions (Student Abstract)
AAAI 2025
Agent-as-Judge for Factual Summarization of Long Narratives
EMNLP 2025
AgentCourt: Simulating Court with Adversarial Evolvable Lawyer Agents
ACL 2025
AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning
EMNLP 2025
AgentDiagnose: An Open Toolkit for Diagnosing LLM Agent Trajectories
EMNLP 2025
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration
ACL 2025
AgentDrug: Utilizing Large Language Models in an Agentic Workflow for Zero-Shot Molecular Optimization
EMNLP 2025
Agentic AI for Digital Twin
AAAI 2025
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
ACL 2025
Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support
EMNLP 2025
AgentMove: A Large Language Model based Agentic Framework for Zero-shot Next Location Prediction
NAACL 2025
AgentPro: Enhancing LLM Agents with Automated Process Supervision
EMNLP 2025
Agent-RewardBench: Towards a Unified Benchmark for Reward Modeling across Perception, Planning, and Safety in Real-World Multimodal Agents
ACL 2025
AgentRM: Enhancing Agent Generalization with Reward Modeling
ACL 2025
Agents generalize to novel levels of abstraction by using adaptive linguistic strategies
ACL 2025