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)
Learning from Long-Tailed Noisy Data with Sample Selection and Balanced Loss
IJCAI 2024
Learning from many trajectories
JMLR 2024
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
ICML 2024
Learning from Mistakes: Iterative Prompt Relabeling for Text-to-Image Diffusion Model Training
EMNLP 2024
Learning from Multiple Annotator Biased Labels in Multimodal Conversation
Interspeech 2024
Learning from Noisy Labels via Conditional Distributionally Robust Optimization
NeurIPS 2024
Learning from One Continuous Video Stream
CVPR 2024
Learning from Others: Similarity-based Regularization for Mitigating Dataset Bias.
ACL 2024
Learning from Pattern Completion: Self-supervised Controllable Generation
NeurIPS 2024
Learning from Relevant Subgoals in Successful Dialogs using Iterative Training for Task-oriented Dialog Systems
EMNLP 2024
Learning from Snapshots of Discrete and Continuous Data Streams
NeurIPS 2024
Learning from Synthetic Human Group Activities
CVPR 2024
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
NeurIPS 2024
Learning GAI-Decomposable Utility Models for Multiattribute Decision Making
AAAI 2024
Learning Generalizable Perceptual Representations for Data-Efficient No-Reference Image Quality Assessment
WACV 2024
Learning Goal-Conditioned Representations for Language Reward Models
NeurIPS 2024
Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes
AISTATS 2024
Learning Graph Representation via Graph Entropy Maximization
ICML 2024
Learning Group Activity Features Through Person Attribute Prediction
CVPR 2024
Learning High-Quality and General-Purpose Phrase Representations
EACL 2024
Learning Human-like Representations to Enable Learning Human Values
NeurIPS 2024
Learning Hybrid Dynamics Models with Simulator-Informed Latent States
AAAI 2024
Learning Image Demoiréing from Unpaired Real Data
AAAI 2024
Learning Infinitesimal Generators of Continuous Symmetries from Data
NeurIPS 2024
Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms
NeurIPS 2024