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)
Self-Training for Sample-Efficient Active Learning for Text Classification with Pre-Trained Language Models
EMNLP 2024
Self-training Language Models for Arithmetic Reasoning
EMNLP 2024
Self-Training Large Language and Vision Assistant for Medical Question Answering
EMNLP 2024
Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement
CVPR 2024
Self-training Large Language Models through Knowledge Detection
EMNLP 2024
Self-training Strategies for Sentiment Analysis: An Empirical Study
EACL 2024
Self-Training with Direct Preference Optimization Improves Chain-of-Thought Reasoning
ACL 2024
Self-Training with Pseudo-Label Scorer for Aspect Sentiment Quad Prediction
ACL 2024
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
ICML 2024
SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data
NeurIPS 2024
SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios
Interspeech 2024
Semantically-Shifted Incremental Adapter-Tuning is A Continual ViTransformer
CVPR 2024
Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning
AAAI 2024
Semantic-Aware Multi-Label Adversarial Attacks
CVPR 2024
Semantic-aware SAM for Point-Prompted Instance Segmentation
CVPR 2024
Semantic-Aware Video Representation for Few-Shot Action Recognition
WACV 2024
Semantic-based NLP techniques discriminate schizophrenia and Wernicke’s aphasia based on spontaneous speech
COLING 2024
Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
NeurIPS 2024
Semantic Fusion Augmentation and Semantic Boundary Detection: A Novel Approach to Multi-Target Video Moment Retrieval
WACV 2024
Semantic Generative Augmentations for Few-Shot Counting
WACV 2024
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
AAAI 2024
Semantic-Guided Novel Category Discovery
AAAI 2024
Semantic Human Mesh Reconstruction with Textures
CVPR 2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data
IJCAI 2024
Semantic-Preserving Adversarial Example Attack against BERT
NAACL 2024