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
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'20
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Papers (including subtopics)
Improving Fairness in Deepfake Detection
WACV 2024
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
EMNLP 2024
Improving fine-grained understanding in image-text pre-training
ICML 2024
Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting
ICML 2024
Improving Generalization of Dynamic Graph Learning via Environment Prompt
NeurIPS 2024
Improving Generalization via Meta-Learning on Hard Samples
CVPR 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
AAAI 2024
Improving Graph Contrastive Learning via Adaptive Positive Sampling
CVPR 2024
Improving Hateful Meme Detection through Retrieval-Guided Contrastive Learning
ACL 2024
Improving Health Information Access in the World’s Largest Maternal Mobile Health Program via Bandit Algorithms
AAAI 2024
Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation
EMNLP 2024
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment
NAACL 2024
Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
ACL 2024
Improving Intrinsic Exploration by Creating Stationary Objectives
ICLR 2024
Improving Knowledge Graph Completion with Structure-Aware Supervised Contrastive Learning
EMNLP 2024
Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning Analysis
ACL 2024
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
ACL 2024
Improving Latin Dependency Parsing by Combining Treebanks and Predictions
EMNLP 2024
Improving LLM Generations via Fine-Grained Self-Endorsement
ACL 2024
Improving Low-Resource Keyphrase Generation through Unsupervised Title Phrase Generation
COLING 2024
Improving Low-Resource Machine Translation for Formosan Languages Using Bilingual Lexical Resources
ACL 2024
Improving Multi-Label Classification of Similar Languages by Semantics-Aware Word Embeddings
NAACL 2024
Improving Multi-lingual Alignment Through Soft Contrastive Learning
NAACL 2024
Improving Multilingual ASR Robustness to Errors in Language Input
Interspeech 2024