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)
Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning
EMNLP 2025
Learning to Extrapolate and Adjust: Two-Stage Meta-Learning for Concept Drift in Online Time Series Forecasting
IJCAI 2025
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
AISTATS 2025
Learning to Generalize without Bias for Open-Vocabulary Action Recognition
ICCV 2025
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels
ICLR 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers
AAAI 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning
ACL 2025
Learning to Identify Seen Unseen and Unknown in the Open World: A Practical Setting for Zero-Shot Learning
WACV 2025
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
ICML 2025
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
ICML 2025
Learning to Look at the Other Side: A Semantic Probing Study of Word Embeddings in LLMs with Enabled Bidirectional Attention
ACL 2025
Learning to Manipulate Under Limited Information
AAAI 2025
Learning to Reason from Feedback at Test-Time
ACL 2025
Learning to Reason via Self-Iterative Process Feedback for Small Language Models
COLING 2025
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
AAAI 2025
Learning to Rewrite: Generalized LLM-Generated Text Detection
ACL 2025
Learning to Rewrite Negation Queries in Product Search
COLING 2025
Learning to Search Effective Example Sequences for In-Context Learning
NAACL 2025
Learning to Search from Demonstration Sequences
ICLR 2025
Learning to See Inside Opaque Liquid Containers using Speckle Vibrometry
ICCV 2025
Learning to Select In-Context Demonstration Preferred by Large Language Model
ACL 2025
Learning to Stabilize Unknown LTI Systems on a Single Trajectory under Stochastic Noise
UAI 2025
Learning to Steer Markovian Agents under Model Uncertainty
ICLR 2025
Learning to Summarize from LLM-generated Feedback
NAACL 2025
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits
EMNLP 2025