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)
Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning
ICCV 2023
Implicit Contrastive Representation Learning with Guided Stop-gradient
NeurIPS 2023
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
NeurIPS 2023
Implicit Identity Driven Deepfake Face Swapping Detection
CVPR 2023
Implicit Neural Representation for Cooperative Low-light Image Enhancement
ICCV 2023
Implicit phonetic information modeling for speech emotion recognition
Interspeech 2023
Implicit Surface Contrastive Clustering for LiDAR Point Clouds
CVPR 2023
Implicit Transfer Operator Learning: Multiple Time-Resolution Models for Molecular Dynamics
NeurIPS 2023
Implicit variance regularization in non-contrastive SSL
NeurIPS 2023
Importance-aware Co-teaching for Offline Model-based Optimization
NeurIPS 2023
Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning
NeurIPS 2023
Importance Weighted Expectation-Maximization for Protein Sequence Design
ICML 2023
Impossibly Good Experts and How to Follow Them
ICLR 2023
Im-Promptu: In-Context Composition from Image Prompts
NeurIPS 2023
Improper Multiclass Boosting
COLT 2023
Improved Active Multi-Task Representation Learning via Lasso
ICML 2023
Improved Algorithms for Multi-period Multi-class Packing Problems with Bandit Feedback
ICML 2023
Improved Bayesian Regret Bounds for Thompson Sampling in Reinforcement Learning
NeurIPS 2023
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
NeurIPS 2023
Improved Bounds for Multi-task Learning with Trace Norm Regularization
COLT 2023
Improved Contextualized Speech Representations for Tonal Analysis
Interspeech 2023
Improved Convergence of Differential Private SGD with Gradient Clipping
ICLR 2023
Improved Distribution Matching for Dataset Condensation
CVPR 2023
Improved Kernel Alignment Regret Bound for Online Kernel Learning
AAAI 2023
Improved Knowledge Transfer for Semi-Supervised Domain Adaptation via Trico Training Strategy
ICCV 2023