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
'25
Papers (including subtopics)
AllGCD: Leveraging All Unlabeled Data for Generalized Category Discovery
ICCV 2025
All models are wrong, some are useful: Model Selection with Limited Labels
AISTATS 2025
All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
CVPR 2025
All Roads Lead to Rome: Graph-Based Confidence Estimation for Large Language Model Reasoning
EMNLP 2025
All That Glitters is Not Gold: Improving Robust Retrieval-Augmented Language Models with Fact-Centric Preference Alignment
ACL 2025
Almost linear time differentially private release of synthetic graphs
AISTATS 2025
Almost Optimal Batch-Regret Tradeoff for Batch Linear Contextual Bandits
ICLR 2025
Almost Sure Convergence of Dropout Algorithms for Neural Networks
JMLR 2025
A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization
AAAI 2025
A Low-Shot Prompting Approach to Lemmatization in the EvaCun 2025 Shared Task
NAACL 2025
AlphaBorno at BLP-2025 Task 2: Code Generation with Structured Prompts and Execution Feedback
AACL 2025
AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors
AAAI 2025
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
EMNLP 2025
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
EMNLP 2025
ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
WACV 2025
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction
AAAI 2025
ALRPHFS: Adversarially Learned Risk Patterns with Hierarchical Fast & Slow Reasoning for Robust Agent Defense
EMNLP 2025
ALTBI: Constructing Improved Outlier Detection Models via Optimization of Inlier-Memorization Effect
AAAI 2025
ALW: Adaptive Layer-Wise contrastive decoding enhancing reasoning ability in Large Language Models
ACL 2025
AMANDA: Agentic Medical Knowledge Augmentation for Data-Efficient Medical Visual Question Answering
EMNLP 2025
AMAS: Adaptively Determining Communication Topology for LLM-based Multi-agent System
EMNLP 2025
Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization
EMNLP 2025
Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval
AAAI 2025
Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering
AAAI 2025
AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
ICCV 2025