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
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Papers (including subtopics)
Dysarthric Speech Recognition Using Curriculum Learning and Articulatory Feature Embedding
Interspeech 2024
DYSON: Dynamic Feature Space Self-Organization for Online Task-Free Class Incremental Learning
CVPR 2024
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
EMNLP 2024
E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning
AAAI 2024
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation
ECCV 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
IJCAI 2024
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
CVPR 2024
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure
SemEval 2024
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation
CVPR 2024
Early Detection of Extreme Storm Tide Events Using Multimodal Data Processing
AAAI 2024
Early Stopping Against Label Noise Without Validation Data
ICLR 2024
EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading
AAAI 2024
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
AAAI 2024
EASSE-DE & EASSE-multi: Easier Automatic Sentence Simplification Evaluation for German & Multiple Languages
EMNLP 2024
EASUM: Enhancing Affective State Understanding Through Joint Sentiment and Emotion Modeling for Multimodal Tasks
WACV 2024
Easy2Hard-Bench: Standardized Difficulty Labels for Profiling LLM Performance and Generalization
NeurIPS 2024
EasyDrag: Efficient Point-based Manipulation on Diffusion Models
CVPR 2024
Easy Regional Contrastive Learning of Expressive Fashion Representations
NeurIPS 2024
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
NeurIPS 2024
EasyTS: The Express Lane to Long Time Series Forecasting
AAAI 2024
EAT: Self-Supervised Pre-Training with Efficient Audio Transformer
IJCAI 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection
AAAI 2024
EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model
ICLR 2024
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
ICML 2024
ECHO-GL: Earnings Calls-Driven Heterogeneous Graph Learning for Stock Movement Prediction
AAAI 2024