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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'10
'15
'20
'25
Papers (including subtopics)
CiT: Curation in Training for Effective Vision-Language Data
ICCV 2023
City-Scale Pollution Aware Traffic Routing by Sampling Max Flows Using MCMC
AAAI 2023
CKDST: Comprehensively and Effectively Distill Knowledge from Machine Translation to End-to-End Speech Translation
ACL 2023
CLaC at SemEval-2023 Task 3: Language Potluck RoBERTa Detects Online Persuasion Techniques in a Multilingual Setup
SemEval 2023
CLadder: Assessing Causal Reasoning in Language Models
NeurIPS 2023
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation
EMNLP 2023
CLAMP: Prompt-Based Contrastive Learning for Connecting Language and Animal Pose
CVPR 2023
CLAPSpeech: Learning Prosody from Text Context with Contrastive Language-Audio Pre-Training
ACL 2023
Clark Kent at SemEval-2023 Task 5: SVMs, Transformers, and Pixels for Clickbait Spoiling
SemEval 2023
Class Adaptive Network Calibration
CVPR 2023
Class-Adaptive Self-Training for Relation Extraction with Incompletely Annotated Training Data
ACL 2023
Class Balanced Adaptive Pseudo Labeling for Federated Semi-Supervised Learning
CVPR 2023
Class-Balancing Diffusion Models
CVPR 2023
Class-Conditional Sharpness-Aware Minimization for Deep Long-Tailed Recognition
CVPR 2023
Class-Distribution-Aware Pseudo-Labeling for Semi-Supervised Multi-Label Learning
NeurIPS 2023
Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations
AISTATS 2023
Classification of Vocal Intensity Category from Speech using the Wav2vec2 and Whisper Embeddings
Interspeech 2023
Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models.
Interspeech 2023
Classifying Rhoticity of /ɹ/ in Speech Sound Disorder using Age-and-Sex Normalized Formants
Interspeech 2023
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision
ICCV 2023
Class-Incremental Exemplar Compression for Class-Incremental Learning
CVPR 2023
Class-Incremental Grouping Network for Continual Audio-Visual Learning
ICCV 2023
Class-Incremental Learning based on Label Generation
ACL 2023
Class Incremental Learning for Task-Oriented Dialogue System with Contrastive Distillation on Internal Representations (Student Abstract)
AAAI 2023
Class-Independent Regularization for Learning with Noisy Labels
AAAI 2023