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)
Accounting for Spatial Variability with the Histogram of Oriented Gradients Based Masking Improves Performance of Masked Autoencoder over Hyperspectral Satellite Imagery (Student Abstract)
AAAI 2025
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
AISTATS 2025
Accurate Estimation of Feature Importance Faithfulness for Tree Models
AAAI 2025
Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
AAAI 2025
ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
WACV 2025
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
WACV 2025
ACE: Anti-Editing Concept Erasure in Text-to-Image Models
CVPR 2025
ACECODER: Acing Coder RL via Automated Test-Case Synthesis
ACL 2025
ACE-G: Improving Generalization of Scene Coordinate Regression Through Query Pre-Training
ICCV 2025
AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling
ACL 2025
Achieving More with Less: Additive Prompt Tuning for Rehearsal-Free Class-Incremental Learning
ICCV 2025
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
EMNLP 2025
Acknowledging Focus Ambiguity in Visual Questions
ICCV 2025
ACL 2025 Industry Track: Overview
ACL 2025
A Closer Look at Backdoor Attacks on CLIP
ICML 2025
A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models
EMNLP 2025
A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension
NAACL 2025
A Comprehensive Survey of Contemporary Arabic Sentiment Analysis: Methods, Challenges, and Future Directions
NAACL 2025
A Comprehensive Survey on Learning from Rewards for Large Language Models: Reward Models and Learning Strategies
EMNLP 2025
A Comprehensive Taxonomy of Bias Mitigation Methods for Hate Speech Detection
ACL 2025
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
ICLR 2025
A Computational Simulation of Language Production in First Language Acquisition
EMNLP 2025
A Computation-Efficient Method of Measuring Dataset Quality based on the Coverage of the Dataset
AISTATS 2025
A Conditional Probability Framework for Compositional Zero-shot Learning
ICCV 2025
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
ACL 2025