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)
DecisionNCE: Embodied Multimodal Representations via Implicit Preference Learning
ICML 2024
Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics
ACL 2024
Decoding Natural Images from EEG for Object Recognition
ICLR 2024
Decoding the Narratives: Analyzing Personal Drug Experiences Shared on Reddit
ACL 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
Decomposable Transformer Point Processes
NeurIPS 2024
Decompose and Compare Consistency: Measuring VLMs’ Answer Reliability via Task-Decomposition Consistency Comparison
EMNLP 2024
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
CVPR 2024
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
NeurIPS 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
CVPR 2024
De-confounded Data-free Knowledge Distillation for Handling Distribution Shifts
CVPR 2024
Deconstructing In-Context Learning: Understanding Prompts via Corruption
COLING 2024
DeCoT: Debiasing Chain-of-Thought for Knowledge-Intensive Tasks in Large Language Models via Causal Intervention
ACL 2024
Decoupled Contrastive Learning for Long-Tailed Recognition
AAAI 2024
Decoupled Contrastive Multi-View Clustering with High-Order Random Walks
AAAI 2024
Decoupled Kullback-Leibler Divergence Loss
NeurIPS 2024
Decoupled Pseudo-labeling for Semi-Supervised Monocular 3D Object Detection
CVPR 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning
AAAI 2024
Decoupled Vocabulary Learning Enables Zero-Shot Translation from Unseen Languages
ACL 2024
Decoupling regularization from the action space
ICLR 2024
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
AAAI 2024
Decoupling Static and Hierarchical Motion Perception for Referring Video Segmentation
CVPR 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
ICLR 2024
Deductive Closure Training of Language Models for Coherence, Accuracy, and Updatability
ACL 2024
Deep Active Learning with Noise Stability
AAAI 2024