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)
A Large and Balanced Corpus for Fine-grained Arabic Readability Assessment
ACL 2025
A Large-Scale Real-World Evaluation of an LLM-Based Virtual Teaching Assistant
ACL 2025
A Layer Selection Approach to Test Time Adaptation
AAAI 2025
ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
ICLR 2025
AlexNLP-MO at SemEval-2025 Task 8: A Chain of Thought Framework for Question-Answering over Tabular Data
SemEval 2025
AlexUNLP-FMT at ClimateCheck Shared Task: Hybrid Retrieval with Adaptive Similarity Graph-based Reranking for Climate-related Social Media Claims Fact Checking
ACL 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings via Cross-Model Alignment and Generation
ACL 2025
Algorithmic Accountability in Small Data: Sample-Size-Induced Bias Within Classification Metrics
AISTATS 2025
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study
ACL 2025
Algorithmic Stability Based Generalization Bounds for Adversarial Training
ICLR 2025
A Lightweight Multi Aspect Controlled Text Generation Solution For Large Language Models
NAACL 2025
A Lightweight Sparse Interaction Network for Time Series Forecasting
AAAI 2025
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
CVPR 2025
Aligning and Prompting Anything for Zero-Shot Generalized Anomaly Detection
AAAI 2025
Aligning Black-box Language Models with Human Judgments
NAACL 2025
Aligning Black-Box LLMs for Aspect Sentiment Quad Prediction
EMNLP 2025
Aligning Complex Knowledge Graph Question Answering as Knowledge-Aware Constrained Code Generation
COLING 2025
Aligning Composed Query with Image via Discriminative Perception from Negative Correspondences
AAAI 2025
Aligning Contrastive Multiple Clusterings with User Interests
IJCAI 2025
Aligning Human Motion Generation with Human Perceptions
ICLR 2025
Aligning Language Models Using Follow-up Likelihood as Reward Signal
AAAI 2025
Aligning Language Models with Demonstrated Feedback
ICLR 2025
Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering
ACL 2025
Aligning Large Language Models with Implicit Preferences from User-Generated Content
ACL 2025
Aligning LLMs for Multilingual Consistency in Enterprise Applications
EMNLP 2025