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)
Adaptive Approximate Policy Iteration
AISTATS 2021
Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach
WACV 2021
Adaptive Confidence Thresholding for Monocular Depth Estimation
ICCV 2021
Adaptive Consistency Regularization for Semi-Supervised Transfer Learning
CVPR 2021
Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval
CVPR 2021
Adaptive Curriculum Learning
ICCV 2021
Adaptive Discretization for Adversarial Lipschitz Bandits
COLT 2021
Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback
NeurIPS 2021
Adaptive Fusion Techniques for Multimodal Data
EACL 2021
Adaptive Information Seeking for Open-Domain Question Answering
EMNLP 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021
Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium
COLT 2021
Adaptive Listening to Everyday Soundscapes
Interspeech 2021
Adaptive Machine Unlearning
NeurIPS 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation
CVPR 2021
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge
IJCAI 2021
Adaptive Risk Minimization: Learning to Adapt to Domain Shift
NeurIPS 2021
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
ICML 2021
Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach
L4DC 2021
Adaptive Sampling for Minimax Fair Classification
NeurIPS 2021
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners
AAAI 2021
Adaptive Verifiable Training Using Pairwise Class Similarity
AAAI 2021
Adaptive Weighted Discriminator for Training Generative Adversarial Networks
CVPR 2021
Adaptivity in Adaptive Submodularity
COLT 2021
Adaptor Grammars for Unsupervised Paradigm Clustering
ACL 2021