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)
Backdoor Cleansing With Unlabeled Data
CVPR 2023
Backdooring Neural Code Search
ACL 2023
Background-aware Modeling for Weakly Supervised Sound Event Detection
Interspeech 2023
Background-Mixed Augmentation for Weakly Supervised Change Detection
AAAI 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Backpropagation Path Search On Adversarial Transferability
ICCV 2023
Backprop Induced Feature Weighting for Adversarial Domain Adaptation With Iterative Label Distribution Alignment
WACV 2023
Back to the Future: Toward a Hybrid Architecture for Ad Hoc Teamwork
AAAI 2023
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
EMNLP 2023
Back Translation for Speech-to-text Translation Without Transcripts
ACL 2023
BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
NeurIPS 2023
Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks
EMNLP 2023
Balanced Energy Regularization Loss for Out-of-Distribution Detection
CVPR 2023
Balanced Meta Learning and Diverse Sampling for Lifelong Task-Oriented Dialogue Systems
AAAI 2023
Balanced Off-Policy Evaluation for Personalized Pricing
AISTATS 2023
Balanced Product of Calibrated Experts for Long-Tailed Recognition
CVPR 2023
Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective
NeurIPS 2023
Balancing Lexical and Semantic Quality in Abstractive Summarization
ACL 2023
Balancing Logit Variation for Long-Tailed Semantic Segmentation
CVPR 2023
Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer
ACL 2023
Balaur: Language Model Pretraining with Lexical Semantic Relations
EMNLP 2023
BALTO: fast tensor program optimization with diversity-based active learning
ICLR 2023
Bandit Learnability can be Undecidable
COLT 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
Bandits with costly reward observations
UAI 2023