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)
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach
AISTATS 2024
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
CVPR 2024
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies
ALT 2024
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
EMNLP 2024
Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
EMNLP 2024
Adaptive Discovering and Merging for Incremental Novel Class Discovery
AAAI 2024
Adaptive Domain Learning for Cross-domain Image Denoising
NeurIPS 2024
Adaptive Experiment Design with Synthetic Controls
AISTATS 2024
Adaptive Exploration for Data-Efficient General Value Function Evaluations
NeurIPS 2024
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
AAAI 2024
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
AAAI 2024
Adaptive Hardness Negative Sampling for Collaborative Filtering
AAAI 2024
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
NeurIPS 2024
Adaptive Immune-based Sound-Shape Code Substitution for Adversarial Chinese Text Attacks
EMNLP 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization
AISTATS 2024
Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection
NeurIPS 2024
Adaptive Instrument Design for Indirect Experiments
ICLR 2024
Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning
AAAI 2024
AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection
NeurIPS 2024
Adaptive Labeling for Efficient Out-of-distribution Model Evaluation
NeurIPS 2024
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds
COLT 2024
Adaptive Manifold for Imbalanced Transductive Few-Shot Learning
WACV 2024
Adaptive neural network based control approach for building energy control under changing environmental conditions
L4DC 2024
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
AISTATS 2024
Adaptive Passive-Aggressive Framework for Online Regression with Side Information
NeurIPS 2024