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
'5
'10
'15
'20
'25
Papers (including subtopics)
On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis for Parametric Models
JMLR 2024
Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval
AAAI 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge
NeurIPS 2024
On Computationally Efficient Multi-Class Calibration
COLT 2024
On conditional diffusion models for PDE simulations
NeurIPS 2024
On Convex Optimization with Semi-Sensitive Features
COLT 2024
On Differentially Private Federated Linear Contextual Bandits
ICLR 2024
On Diffusion Modeling for Anomaly Detection
ICLR 2024
On Disentanglement of Asymmetrical Knowledge Transfer for Modality-Task Agnostic Federated Learning
AAAI 2024
On Divergence Measures for Training GFlowNets
NeurIPS 2024
On Diversified Preferences of Large Language Model Alignment
EMNLP 2024
On Doubly Robust Inference for Double Machine Learning in Semiparametric Regression
JMLR 2024
One2Set + Large Language Model: Best Partners for Keyphrase Generation
EMNLP 2024
On Efficient and Statistical Quality Estimation for Data Annotation
ACL 2024
One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
NeurIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NeurIPS 2024
On Eliciting Syntax from Language Models via Hashing
EMNLP 2024
One Model is All You Need: ByT5-Sanskrit, a Unified Model for Sanskrit NLP Tasks
EMNLP 2024
One-Prompt to Segment All Medical Images
CVPR 2024
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
CVPR 2024
One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems
AAAI 2024
One-shot Active Learning Based on Lewis Weight Sampling for Multiple Deep Models
ICLR 2024
One-Shot Imitation Learning with Invariance Matching for Robotic Manipulation
RSS 2024
One Shot Inverse Reinforcement Learning for Stochastic Linear Bandits
UAI 2024
One-Shot Learning as Instruction Data Prospector for Large Language Models
ACL 2024