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)
Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought
NeurIPS 2024
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors
CVPR 2024
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning
CVPR 2024
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
AAAI 2024
Unlocking the Power of Representations in Long-term Novelty-based Exploration
ICLR 2024
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
ICML 2024
Unmixing Before Fusion: A Generalized Paradigm for Multi-Source-based Hyperspectral Image Synthesis
CVPR 2024
Unmixing Diffusion for Self-Supervised Hyperspectral Image Denoising
CVPR 2024
UNO-DST: Leveraging Unlabelled Data in Zero-Shot Dialogue State Tracking
NAACL 2024
UnO: Unsupervised Occupancy Fields for Perception and Forecasting
CVPR 2024
Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback
NeurIPS 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
EMNLP 2024
Unraveling Instance Associations: A Closer Look for Audio-Visual Segmentation
CVPR 2024
Unraveling Pain Levels: A Data-Uncertainty Guided Approach for Effective Pain Assessment
AAAI 2024
Unraveling the Dynamics of Semi-Supervised Hate Speech Detection: The Impact of Unlabeled Data Characteristics and Pseudo-Labeling Strategies
EACL 2024
Unraveling the Key Components of OOD Generalization via Diversification
ICLR 2024
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
ICLR 2024
UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model
CVPR 2024
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes
CVPR 2024
UNSEE: Unsupervised Non-contrastive Sentence Embeddings
EACL 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
NeurIPS 2024
Unsupervised 3D Pose Estimation With Non-Rigid Structure-From-Motion Modeling
WACV 2024
Unsupervised 3D Structure Inference from Category-Specific Image Collections
CVPR 2024
Unsupervised Action Segmentation via Fast Learning of Semantically Consistent Actoms
AAAI 2024
Unsupervised and Semi-Supervised Co-Salient Object Detection via Segmentation Frequency Statistics
WACV 2024