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
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Papers (including subtopics)
How Does the Smoothness Approximation Method Facilitate Generalization for Federated Adversarial Learning?
AAAI 2025
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions
CVPR 2025
How do Language Models Reshape Entity Alignment? A Survey of LM-Driven EA Methods: Advances, Benchmarks, and Future
EMNLP 2025
How Do Large Language Models Evaluate Lexical Complexity?
EMNLP 2025
How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
ACL 2025
How Do Social Bots Participate in Misinformation Spread? A Comprehensive Dataset and Analysis
EMNLP 2025
How Far are AI-generated Videos from Simulating the 3D Visual World: A Learned 3D Evaluation Approach
ICCV 2025
How Far Can LLMs Improve from Experience? Measuring Test-Time Learning Ability in LLMs with Human Comparison
EMNLP 2025
How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark
EMNLP 2025
How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs
ACL 2025
How Much Do LLMs Hallucinate across Languages? On Realistic Multilingual Estimation of LLM Hallucination
EMNLP 2025
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
NAACL 2025
How much of my dataset did you use? Quantitative Data Usage Inference in Machine Learning
ICLR 2025
How new data permeates LLM knowledge and how to dilute it
ICLR 2025
How Reliable is Multilingual LLM-as-a-Judge?
EMNLP 2025
How Sampling Affects the Detectability of Machine-written texts: A Comprehensive Study
EMNLP 2025
How to age BERT Well: Continuous Training for Historical Language Adaptation
COLING 2025
How to Compare Things Properly? A Study of Argument Relevance in Comparative Question Answering
ACL 2025
How to Find the Exact Pareto Front for Multi-Objective MDPs?
ICLR 2025
How to Fine-Tune Safely on a Budget: Model Adaptation Using Minimal Resources
EMNLP 2025
How to inject knowledge efficiently? Knowledge Infusion Scaling Law for Pre-training Large Language Models
EMNLP 2025
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise in Machine Translation
NAACL 2025
How To Make Your Cell Tracker Say "I dunno!"
ICCV 2025
How to Merge Your Multimodal Models Over Time?
CVPR 2025
How to Mitigate Overfitting in Weak-to-strong Generalization?
ACL 2025