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)
DISC: Learning From Noisy Labels via Dynamic Instance-Specific Selection and Correction
CVPR 2023
DISCO: A Large Scale Human Annotated Corpus for Disfluency Correction in Indo-European Languages
EMNLP 2023
DisCo-CLIP: A Distributed Contrastive Loss for Memory Efficient CLIP Training
CVPR 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining
EMNLP 2023
DiSCoMaT: Distantly Supervised Composition Extraction from Tables in Materials Science Articles
ACL 2023
DiscoPrompt: Path Prediction Prompt Tuning for Implicit Discourse Relation Recognition
ACL 2023
Discourse Information for Document-Level Temporal Dependency Parsing
ACL 2023
Discourse-Level Representations can Improve Prediction of Degree of Anxiety
ACL 2023
Discourse Structure Extraction from Pre-Trained and Fine-Tuned Language Models in Dialogues
EACL 2023
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
ICML 2023
Discovering COVID-19 Coughing and Breathing Patterns from Unlabeled Data Using Contrastive Learning with Varying Pre-Training Domains
Interspeech 2023
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data
ICLR 2023
Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning
NeurIPS 2023
Discovering Highly Influential Shortcut Reasoning: An Automated Template-Free Approach
EMNLP 2023
Discovering Informative and Robust Positives for Video Domain Adaptation
ICLR 2023
Discovering Intrinsic Spatial-Temporal Logic Rules to Explain Human Actions
NeurIPS 2023
Discovering Language Model Behaviors with Model-Written Evaluations
ACL 2023
Discovering Many Diverse Solutions with Bayesian Optimization
AISTATS 2023
Discovering Object-Centric Generalized Value Functions From Pixels
ICML 2023
Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality
ICLR 2023
Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning
ICML 2023
Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification
ICCV 2023
Discrete Contrastive Diffusion for Cross-Modal Music and Image Generation
ICLR 2023
Discrete Diffusion Probabilistic Models for Symbolic Music Generation
IJCAI 2023
Discrete Key-Value Bottleneck
ICML 2023