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)
Fast Contiguous Somatic Hypermutations for Single-Objective Optimisation and Multi-Objective Optimisation Via Decomposition
AAAI 2025
Fast Direct: Query-Efficient Online Black-box Guidance for Diffusion-model Target Generation
ICLR 2025
Faster Annotation for Elevation-Guided Flood Extent Mapping by Consistency-Enhanced Active Learning
IJCAI 2025
Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction
NAACL 2025
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited Data
EMNLP 2025
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction
AAAI 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling
ICCV 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Fast Multi-Instance Partial-Label Learning
AAAI 2025
Fast, Not Fancy: Rethinking G2P with Rich Data and Statistical Models
EMNLP 2025
Fast Quiet-STaR: Thinking Without Thought Tokens
EMNLP 2025
Fathom: A Fast and Modular RAG Pipeline for Fact-Checking
ACL 2025
FaVe: Factored and Verified Search Rationale for Long-form Answer
ACL 2025
FB-Bench: A Fine-Grained Multi-Task Benchmark for Evaluating LLMs’ Responsiveness to Human Feedback
EMNLP 2025
FBQuant: FeedBack Quantization for Large Language Models
IJCAI 2025
FC-Attack: Jailbreaking Multimodal Large Language Models via Auto-Generated Flowcharts
EMNLP 2025
FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
IJCAI 2025
FCMR: Robust Evaluation of Financial Cross-Modal Multi-Hop Reasoning
ACL 2025
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
AAAI 2025
Feasible Learning
AISTATS 2025
Feature Augmentation Based Test-Time Adaptation
WACV 2025
Feature-Based Online Bilateral Trade
ICLR 2025
Feature Clipping for Uncertainty Calibration
AAAI 2025
Feature Decomposition-Augmentation Network for Multimodal Sentiment Analysis
IJCNLP 2025
Feature Decomposition-Recomposition in Large Vision-Language Model for Few-Shot Class-Incremental Learning
ICCV 2025