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)
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models
ACL 2023
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
EMNLP 2023
From Robustness to Privacy and Back
ICML 2023
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction
EMNLP 2023
From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained
ACL 2023
From ViT Features to Training-free Video Object Segmentation via Streaming-data Mixture Models
NeurIPS 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation
EMNLP 2023
Frozen Language Model Helps ECG Zero-Shot Learning
MIDL 2023
Frugal Prompting for Dialog Models
EMNLP 2023
Frustratingly Easy Label Projection for Cross-lingual Transfer
ACL 2023
Frustratingly Easy Truth Discovery
AAAI 2023
Full or Weak Annotations? An Adaptive Strategy for Budget-Constrained Annotation Campaigns
CVPR 2023
Fully-Adaptive Composition in Differential Privacy
ICML 2023
Fully Attentional Networks with Self-emerging Token Labeling
ICCV 2023
Fully Dynamic Online Selection through Online Contention Resolution Schemes
AAAI 2023
Fully Self-Supervised Depth Estimation From Defocus Clue
CVPR 2023
FunkNN: Neural Interpolation for Functional Generation
ICLR 2023
Further Adaptive Best-of-Both-Worlds Algorithm for Combinatorial Semi-Bandits
AISTATS 2023
FusionRetro: Molecule Representation Fusion via In-Context Learning for Retrosynthetic Planning
ICML 2023
FUSSL: Fuzzy Uncertain Self Supervised Learning
WACV 2023
Future-conditioned Unsupervised Pretraining for Decision Transformer
ICML 2023
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation
CVPR 2023
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
EACL 2023
G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory
ICCV 2023
G2Pxy: Generative Open-Set Node Classification on Graphs with Proxy Unknowns
IJCAI 2023