Learning Types
56,254 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 (1,984)
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
2,020
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Improving Neural Machine Translation Formality Control with Domain Adaptation and Reranking-based Transductive Learning
ACL 2023
Improving Object-centric Learning with Query Optimization
ICLR 2023
Improving Pacing in Long-Form Story Planning
EMNLP 2023
Improving Pixel-based MIM by Reducing Wasted Modeling Capability
ICCV 2023
Improving Pixel-Level Contrastive Learning by Leveraging Exogenous Depth Information
WACV 2023
Improving Predicate Representation in Scene Graph Generation by Self-Supervised Learning
WACV 2023
Improving Radiology Summarization with Radiograph and Anatomy Prompts
ACL 2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
ACL 2023
Improving Representation Learning for Histopathologic Images with Cluster Constraints
ICCV 2023
Improving Robotic Tactile Localization Super-resolution via Spatiotemporal Continuity Learning and Overlapping Air Chambers
AAAI 2023
Improving Robust Fariness via Balance Adversarial Training
AAAI 2023
Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
CVPR 2023
Improving Selective Visual Question Answering by Learning From Your Peers
CVPR 2023
Improving Self-supervised Molecular Representation Learning using Persistent Homology
NeurIPS 2023
Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
ACL 2023
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions
EMNLP 2023
Improving Sequential Model Editing with Fact Retrieval
EMNLP 2023
Improving Small Footprint Few-shot Keyword Spotting with Supervision on Auxiliary Data
Interspeech 2023
Improving Speaker Verification with Self-Pretrained Transformer Models
Interspeech 2023
Improving Speech Translation by Fusing Speech and Text
EMNLP 2023
Improving Summarization with Human Edits
EMNLP 2023
Improving Textless Spoken Language Understanding with Discrete Units as Intermediate Target
Interspeech 2023
Improving the Cross-Lingual Generalisation in Visual Question Answering
AAAI 2023
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
EMNLP 2023
Improving the Robustness of Summarization Systems with Dual Augmentation
ACL 2023