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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'10
'15
'20
'25
Papers (including subtopics)
Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection
CVPR 2024
Forgetting before Learning: Utilizing Parametric Arithmetic for Knowledge Updating in Large Language Models
ACL 2024
Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models
EMNLP 2024
Forgetting, Ignorance or Myopia: Revisiting Key Challenges in Online Continual Learning
NeurIPS 2024
Formality is Favored: Unraveling the Learning Preferences of Large Language Models on Data with Conflicting Knowledge
EMNLP 2024
Formal Logic Enabled Personalized Federated Learning through Property Inference
AAAI 2024
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name Gender Prediction
IJCAI 2024
FOSSIL: Free Open-Vocabulary Semantic Segmentation Through Synthetic References Retrieval
WACV 2024
Fostering Trustworthiness in Machine Learning Algorithms
AAAI 2024
FoTo: Targeted Visual Topic Modeling for Focused Analysis of Short Texts
COLING 2024
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation
EMNLP 2024
Foundation Inference Models for Markov Jump Processes
NeurIPS 2024
Foundation Model Assisted Weakly Supervised Semantic Segmentation
WACV 2024
Foundation Policies with Hilbert Representations
ICML 2024
FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
CVPR 2024
Foundations of Autonomous Vehicles: A Curriculum Model for Developing Competencies in Artificial Intelligence and the Internet of Things for Grades 7–10
AAAI 2024
FOUND: Foot Optimization With Uncertain Normals for Surface Deformation Using Synthetic Data
WACV 2024
Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring
CVPR 2024
FoX: Formation-Aware Exploration in Multi-Agent Reinforcement Learning
AAAI 2024
FPT: Feature Prompt Tuning for Few-shot Readability Assessment
NAACL 2024
Fractional Deep Reinforcement Learning for Age-Minimal Mobile Edge Computing
AAAI 2024
Fralak at SemEval-2024 Task 4: combining RNN-generated hierarchy paths with simple neural nets for hierarchical multilabel text classification in a multilingual zero-shot setting
SemEval 2024
Frame-Wise Breath Detection with Self-Training: An Exploration of Enhancing Breath Naturalness in Text-to-Speech
Interspeech 2024
Fréchet Distance for Offline Evaluation of Information Retrieval Systems with Sparse Labels
EACL 2024
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024