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)
An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks
AAAI 2023
Angelic Patches for Improving Third-Party Object Detector Performance
CVPR 2023
AniEE: A Dataset of Animal Experimental Literature for Event Extraction
EMNLP 2023
An Image Quality Assessment Dataset for Portraits
CVPR 2023
An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
NeurIPS 2023
An Information-Theoretic Analysis of Nonstationary Bandit Learning
ICML 2023
An Information-Theoretic Analysis of Self-supervised Discrete Representations of Speech
Interspeech 2023
An Information Theory Perspective on Variance-Invariance-Covariance Regularization
NeurIPS 2023
An Instrumental Variable Approach to Confounded Off-Policy Evaluation
ICML 2023
An Intent-based and Annotation-free Method for Duplicate Question Detection in CQA Forums
EMNLP 2023
An Investigation into Pre-Training Object-Centric Representations for Reinforcement Learning
ICML 2023
An Investigation of Noise in Morphological Inflection
ACL 2023
An Investigation of the Combination of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding
Interspeech 2023
Annealing-Based Label-Transfer Learning for Open World Object Detection
CVPR 2023
Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation
IJCAI 2023
Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization
ACL 2023
Annotating and Training for Population Subjective Views
ACL 2023
Annotating Decomposition in Time: Three Approaches for Again
ACL 2023
Annotating Mentions Alone Enables Efficient Domain Adaptation for Coreference Resolution
ACL 2023
Annotation-Inspired Implicit Discourse Relation Classification with Auxiliary Discourse Connective Generation
ACL 2023
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding
EMNLP 2023
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance
EMNLP 2023
Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
NeurIPS 2023
A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving
AAAI 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
IJCAI 2023