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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'15
'20
'25
Papers (including subtopics)
Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model Performance
EMNLP 2025
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle
ICML 2025
Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
ACL 2025
Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation
ACL 2025
Are LLMs Rigorous Logical Reasoners? Empowering Natural Language Proof Generation by Stepwise Decoding with Contrastive Learning
IJCNLP 2025
Arena-lite: Efficient and Reliable Large Language Model Evaluation via Tournament-Based Direct Comparisons
EMNLP 2025
Are Small Language Models Ready to Compete with Large Language Models for Practical Applications?
NAACL 2025
Are Stereotypes Leading LLMs’ Zero-Shot Stance Detection ?
EMNLP 2025
Are the Values of LLMs Structurally Aligned with Humans? A Causal Perspective
ACL 2025
A Retrieval-Based Approach to Medical Procedure Matching in Romanian
ACL 2025
Are We Done with MMLU?
NAACL 2025
Are You Doing Better Than Random Guessing? A Call for Using Negative Controls When Evaluating Causal Discovery Algorithms
UAI 2025
Are You Sure You’re Positive? Consolidating Chain-of-Thought Agents with Uncertainty Quantification for Aspect-Category Sentiment Analysis
ACL 2025
ARGENT: Automatic Reference-free Evaluation for Open-Ended Text Generation without Source Inputs
ACL 2025
ArgHiTZ at ArchEHR-QA 2025: A Two-Step Divide and Conquer Approach to Patient Question Answering for Top Factuality
ACL 2025
Argumentative Fallacy Detection in Political Debates
ACL 2025
Argus: A Compact and Versatile Foundation Model for Vision
CVPR 2025
Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
ICLR 2025
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
EMNLP 2025
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
NAACL 2025
ArithmAttack: Evaluating Robustness of LLMs to Noisy Context in Math Problem Solving
ACL 2025
ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding
CVPR 2025
ARMR: Adaptively Responsive Network for Medication Recommendation
IJCAI 2025
ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling
AAAI 2025
A Robust Method to Discover Causal or Anticausal Relation
ICLR 2025