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 the Transferability of Adversarial Samples by Path-Augmented Method
CVPR 2023
Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model Ensembles
ACL 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
AAAI 2023
Improving training datasets for resource-constrained speaker recognition neural networks
Interspeech 2023
Improving Transformer-based Program Repair Model through False Behavior Diagnosis
EMNLP 2023
Improving Translation Quality Estimation with Bias Mitigation
ACL 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
AAAI 2023
Improving Under-Resourced Code-Switched Speech Recognition: Large Pre-trained Models or Architectural Interventions
Interspeech 2023
Improving Unsupervised Out-of-domain detection through Pseudo Labeling and Learning
EACL 2023
Improving Unsupervised Relation Extraction by Augmenting Diverse Sentence Pairs
EMNLP 2023
Improving Unsupervised Visual Program Inference with Code Rewriting Families
ICCV 2023
Improving Visual Grounding by Encouraging Consistent Gradient-Based Explanations
CVPR 2023
Improving Visual Representation Learning Through Perceptual Understanding
CVPR 2023
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels
CVPR 2023
Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion
Interspeech 2023
Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
CVPR 2023
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization
ACL 2023
Improving Zero-shot Reader by Reducing Distractions from Irrelevant Documents in Open-Domain Question Answering
EMNLP 2023
IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning
EMNLP 2023
INA: An Integrative Approach for Enhancing Negotiation Strategies with Reward-Based Dialogue Agent
EMNLP 2023
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
ACL 2023
INarIG: Iterative Non-autoregressive Instruct Generation Model For Word-Level Auto Completion
EMNLP 2023
IncDSI: Incrementally Updatable Document Retrieval
ICML 2023
Incentive-aware Contextual Pricing with Non-parametric Market Noise
AISTATS 2023
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
ICML 2023