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)
Exploring Distantly-Labeled Rationales in Neural Network Models
ACL 2021
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection
ICCV 2021
Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing
CVPR 2021
Exploring Implicit Sentiment Evoked by Fine-grained News Events
EACL 2021
Exploring Inspiration Sets in a Data Programming Pipeline for Product Moderation
ACL 2021
Exploring Linguistically-Lightweight Keyword Extraction Techniques for Indexing News Articles in a Multilingual Set-up
EACL 2021
Exploring Long Tail Visual Relationship Recognition With Large Vocabulary
ICCV 2021
Exploring Metaphoric Paraphrase Generation
CoNLL 2021
Exploring Methods for Generating Feedback Comments for Writing Learning
EMNLP 2021
Exploring Multitask Learning for Low-Resource Abstractive Summarization
EMNLP 2021
Exploring Non-Autoregressive Text Style Transfer
EMNLP 2021
Exploring Pre-Trained Transformers and Bilingual Transfer Learning for Arabic Coreference Resolution
EMNLP 2021
Exploring Relational Context for Multi-Task Dense Prediction
ICCV 2021
Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation
ICCV 2021
Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
ICCV 2021
Exploring Simple Siamese Representation Learning
CVPR 2021
Exploring Targeted Universal Adversarial Perturbations to End-to-End ASR Models
Interspeech 2021
Exploring Task Difficulty for Few-Shot Relation Extraction
EMNLP 2021
Exploring Temporal Coherence for More General Video Face Forgery Detection
ICCV 2021
Exploring the Limits of Few-Shot Link Prediction in Knowledge Graphs
EACL 2021
Exploring the Limits of Out-of-Distribution Detection
NeurIPS 2021
Exploring Underexplored Limitations of Cross-Domain Text-to-SQL Generalization
EMNLP 2021
Exploring Visual Engagement Signals for Representation Learning
ICCV 2021
Exploring wav2vec 2.0 on Speaker Verification and Language Identification
Interspeech 2021
Exploring Word Usage Change with Continuously Evolving Embeddings
ACL 2021