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
'25
Papers (including subtopics)
Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free
NeurIPS 2022
Provably Efficient Offline Multi-agent Reinforcement Learning via Strategy-wise Bonus
NeurIPS 2022
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning
NeurIPS 2022
Provably Robust Adversarial Examples
ICLR 2022
Provably sample-efficient RL with side information about latent dynamics
NeurIPS 2022
Proving Theorems using Incremental Learning and Hindsight Experience Replay
ICML 2022
Proximal Learning With Opponent-Learning Awareness
NeurIPS 2022
Proximity Enhanced Graph Neural Networks with Channel Contrast
IJCAI 2022
Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval
EMNLP 2022
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
AAAI 2022
Prune and Tune Ensembles: Low-Cost Ensemble Learning with Sparse Independent Subnetworks
AAAI 2022
Pseudo-Labeled Auto-Curriculum Learning for Semi-Supervised Keypoint Localization
ICLR 2022
Pseudo Label Is Better Than Human Label
Interspeech 2022
Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding
CVPR 2022
PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population
EMNLP 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
COLING 2022
Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning
ACL 2022
Public Signaling in Bayesian Ad Auctions
IJCAI 2022
PubTables-1M: Towards Comprehensive Table Extraction From Unstructured Documents
CVPR 2022
PUMA: Performance Unchanged Model Augmentation for Training Data Removal
AAAI 2022
PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors
CVPR 2022
PureGaze: Purifying Gaze Feature for Generalizable Gaze Estimation
AAAI 2022
Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images
ICML 2022
Pushing the Efficiency-Regret Pareto Frontier for Online Learning of Portfolios and Quantum States
COLT 2022
Pushing the limits of raw waveform speaker recognition
Interspeech 2022