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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'10
'15
'20
'25
Papers (including subtopics)
Offline Reinforcement Learning with OOD State Correction and OOD Action Suppression
NeurIPS 2024
Offline Reward Perturbation Boosts Distributional Shift in Online RL
UAI 2024
Offline RL with Observation Histories: Analyzing and Improving Sample Complexity
ICLR 2024
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
JMLR 2024
Off-Policy Primal-Dual Safe Reinforcement Learning
ICLR 2024
Of Models and Men: Probing Neural Networks for Agreement Attraction with Psycholinguistic Data
CoNLL 2024
Oja's Algorithm for Streaming Sparse PCA
NeurIPS 2024
OLIVE: Object Level In-Context Visual Embeddings
ACL 2024
OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning
ICML 2024
Omega-Regular Decision Processes
AAAI 2024
OMG-LLaVA: Bridging Image-level, Object-level, Pixel-level Reasoning and Understanding
NeurIPS 2024
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems
EMNLP 2024
OMG: Towards Open-vocabulary Motion Generation via Mixture of Controllers
CVPR 2024
OmniGlue: Generalizable Feature Matching with Foundation Model Guidance
CVPR 2024
OmniJARVIS: Unified Vision-Language-Action Tokenization Enables Open-World Instruction Following Agents
NeurIPS 2024
OmniMotionGPT: Animal Motion Generation with Limited Data
CVPR 2024
OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition
CVPR 2024
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization: When Divergence Meets Consistency
AAAI 2024
Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding
CVPR 2024
OmniSeg3D: Omniversal 3D Segmentation via Hierarchical Contrastive Learning
CVPR 2024
OmniVec: Learning Robust Representations With Cross Modal Sharing
WACV 2024
OmniViD: A Generative Framework for Universal Video Understanding
CVPR 2024
On Adversarial Training without Perturbing all Examples
ICLR 2024
On Affine Homotopy between Language Encoders
NeurIPS 2024
On an Intermediate Task for Classifying URL Citations on Scholarly Papers
COLING 2024