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)
An Augmentation Overlap Theory of Contrastive Learning
JMLR 2025
An Automatic Method to Estimate Correctness of RAG
COLING 2025
A-NC: Adaptive Neural Control with implicit online inference of privileged parameters
L4DC 2025
AnchorInv: Few-Shot Class-Incremental Learning of Physiological Signals via Feature Space-Guided Inversion
AAAI 2025
Anchor Learning with Potential Cluster Constraints for Multi-view Clustering
AAAI 2025
Anchor Token Matching: Implicit Structure Locking for Training-free AR Image Editing
ICCV 2025
An Effective Incorporating Heterogeneous Knowledge Curriculum Learning for Sequence Labeling
ACL 2025
An Effective Manifold-based Optimization Method for Distributionally Robust Classification
ICLR 2025
An Efficient Framework for Enhancing Discriminative Models via Diffusion Techniques
AAAI 2025
An Efficient Post-hoc Framework for Reducing Task Discrepancy of Text Encoders for Composed Image Retrieval
ICCV 2025
An Efficient Rehearsal Scheme for Catastrophic Forgetting Mitigation during Multi-stage Fine-tuning
NAACL 2025
An Efficient Retrieval-Based Method for Tabular Prediction with LLM
COLING 2025
An Efficient Task-Oriented Dialogue Policy: Evolutionary Reinforcement Learning Injected by Elite Individuals
ACL 2025
An Empirical Analysis of Machine Translation for Expanding Multilingual Benchmarks
EMNLP 2025
An Empirical Study of Autoregressive Pre-training from Videos
ICCV 2025
An Empirical Study of Iterative Refinements for Non-autoregressive Translation
ACL 2025
An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4
ACL 2025
An Empirical Study of LLM Reasoning Ability Under Strict Output Length Constraint
EMNLP 2025
An Empirical Study of Position Bias in Modern Information Retrieval
EMNLP 2025
An empirical study of validating synthetic data for formula generation
NAACL 2025
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
EMNLP 2025
An Encoder-Agnostic Weakly Supervised Method for Describing Textures
WACV 2025
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
AAAI 2025
A New Adversarial Perspective for LiDAR-based 3D Object Detection
AAAI 2025
An Exemplar-based Framework for Chinese Text Recognition
AAAI 2025