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
'5
'10
'15
'20
'25
Papers (including subtopics)
TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization
ICCV 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
ICML 2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning
EMNLP 2021
TTT++: When Does Self-Supervised Test-Time Training Fail or Thrive?
NeurIPS 2021
TUDa at WMT21: Sentence-Level Direct Assessment with Adapters
EMNLP 2021
Tune in: The AFRL WMT21 News-Translation Systems
EMNLP 2021
Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect
AAAI 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Tuning Mixed Input Hyperparameters on the Fly for Efficient Population Based AutoRL
NeurIPS 2021
Turbocharging Treewidth-Bounded Bayesian Network Structure Learning
AAAI 2021
Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution
ACL 2021
T-vMF Similarity for Regularizing Intra-Class Feature Distribution
CVPR 2021
Twice regularized MDPs and the equivalence between robustness and regularization
NeurIPS 2021
Two Forms of Responsibility in Strategic Games
IJCAI 2021
Two Heads are Better than One? Verification of Ensemble Effect in Neural Machine Translation
EMNLP 2021
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-Shot Learning
WACV 2021
Two-Pathway Style Embedding for Arbitrary Voice Conversion
Interspeech 2021
Two-stage Training for Learning from Label Proportions
IJCAI 2021
Two steps to risk sensitivity
NeurIPS 2021
Two Training Strategies for Improving Relation Extraction over Universal Graph
EACL 2021
TWT: Table with Written Text for Controlled Data-to-Text Generation
EMNLP 2021
Types of Out-of-Distribution Texts and How to Detect Them
EMNLP 2021
UACH-INAOE at SMM4H: a BERT based approach for classification of COVID-19 Twitter posts
NAACL 2021
UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
AAAI 2021
UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching
ICCV 2021