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)
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
AAAI 2025
REGNav: Room Expert Guided Image-Goal Navigation
AAAI 2025
Regret Analysis of Multi-task Representation Learning for Linear-Quadratic Adaptive Control
AAAI 2025
Regret Bounds for Episodic Risk-Sensitive Linear Quadratic Regulator
ICLR 2025
Regretful Decisions under Label Noise
ICLR 2025
Regret-Optimal List Replicable Bandit Learning: Matching Upper and Lower Bounds
ICLR 2025
REGULAR: A Framework for Relation-Guided Multi-Span Question Generation
IJCNLP 2025
Regularized Contrastive Decoding with Hard Negative Samples for LLM Hallucination Mitigation
EMNLP 2025
Regularizing Hard Examples Improves Adversarial Robustness
JMLR 2025
Regulatory Question-Answering using Generative AI
COLING 2025
Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
Interspeech 2025
REIC: RAG-Enhanced Intent Classification at Scale
EMNLP 2025
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
AAAI 2025
Reinforced Query Reasoners for Reasoning-intensive Retrieval Tasks
EMNLP 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning
AAAI 2025
Reinforcement Learning for Adaptive MCMC
AISTATS 2025
Reinforcement Learning for Adversarial Query Generation to Enhance Relevance in Cold-Start Product Search
ACL 2025
Reinforcement Learning for Aligning Large Language Models Agents with Interactive Environments: Quantifying and Mitigating Prompt Overfitting
NAACL 2025
Reinforcement Learning for Control of Non-Markovian Cellular Population Dynamics
ICLR 2025
Reinforcement Learning for Infinite-Dimensional Systems
JMLR 2025
Reinforcement Learning for Infinite-Horizon Average-Reward Linear MDPs via Approximation by Discounted-Reward MDPs
AISTATS 2025
Reinforcement Learning for Large Language Models via Group Preference Reward Shaping
EMNLP 2025
Reinforcement Learning from Imperfect Corrective Actions and Proxy Rewards
ICLR 2025
Reinforcement Learning from Multi-level and Episodic Human Feedback
L4DC 2025
Reinforcement Learning-Guided Data Selection via Redundancy Assessment
ICCV 2025