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
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'10
'15
'20
'25
Papers (including subtopics)
Information Extraction from Legal Wills: How Well Does GPT-4 Do?
EMNLP 2023
Information-Theoretic Analysis of Unsupervised Domain Adaptation
ICLR 2023
Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments
AAAI 2023
Information theoretic clustering via divergence maximization among clusters
UAI 2023
Information-Theoretic State Space Model for Multi-View Reinforcement Learning
ICML 2023
infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information
ACL 2023
Infusing Lattice Symmetry Priors in Attention Mechanisms for Sample-Efficient Abstract Geometric Reasoning
ICML 2023
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models
EMNLP 2023
Ingredient-Oriented Multi-Degradation Learning for Image Restoration
CVPR 2023
Inherent Consistent Learning for Accurate Semi-supervised Medical Image Segmentation
MIDL 2023
InheritSumm: A General, Versatile and Compact Summarizer by Distilling from GPT
EMNLP 2023
Injecting Multimodal Information into Rigid Protein Docking via Bi-level Optimization
NeurIPS 2023
Injecting structural hints: Using language models to study inductive biases in language learning
EMNLP 2023
Innovating Real Fisheye Image Correction with Dual Diffusion Architecture
ICCV 2023
In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation
ICML 2023
In- or out-of-distribution detection via dual divergence estimation
UAI 2023
InPL: Pseudo-labeling the Inliers First for Imbalanced Semi-supervised Learning
ICLR 2023
Input uncertainty propagation through trained neural networks
ICML 2023
In-sample Actor Critic for Offline Reinforcement Learning
ICLR 2023
In-sample Curriculum Learning by Sequence Completion for Natural Language Generation
ACL 2023
In Search for a Generalizable Method for Source Free Domain Adaptation
ICML 2023
InsightNet : Structured Insight Mining from Customer Feedback
EMNLP 2023
Insights into Ordinal Embedding Algorithms: A Systematic Evaluation
JMLR 2023
InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning
RSS 2023
Instance and Category Supervision are Alternate Learners for Continual Learning
ICCV 2023