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)
Empowering Multi-step Reasoning across Languages via Program-Aided Language Models
EMNLP 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance
CVPR 2024
Empowering Time Series Analysis with Large Language Models: A Survey
IJCAI 2024
Empowering Unsupervised Domain Adaptation With Large-Scale Pre-Trained Vision-Language Models
WACV 2024
Empowering Whisper as a Joint Multi-Talker and Target-Talker Speech Recognition System
Interspeech 2024
EMR-Merging: Tuning-Free High-Performance Model Merging
NeurIPS 2024
Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs
EACL 2024
Encoding Hierarchical Schema via Concept Flow for Multifaceted Ideology Detection
ACL 2024
Encoding of lexical tone in self-supervised models of spoken language
NAACL 2024
Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective
EMNLP 2024
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection
AAAI 2024
Endowing Neural Language Learners with Human-like Biases: A Case Study on Dependency Length Minimization
COLING 2024
End-To-End Causal Effect Estimation from Unstructured Natural Language Data
NeurIPS 2024
End-to-end Learnable Clustering for Intent Learning in Recommendation
NeurIPS 2024
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
UAI 2024
End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding
AAAI 2024
End-to-End Ontology Learning with Large Language Models
NeurIPS 2024
End-to-end Parsing of Procedural Text into Flow Graphs
COLING 2024
End-to-End Real-World Polyphonic Piano Audio-to-Score Transcription with Hierarchical Decoding
IJCAI 2024
End-to-End Speech Recognition for Endangered Languages of Nepal
EACL 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks
NeurIPS 2024
Energy-based Hopfield Boosting for Out-of-Distribution Detection
NeurIPS 2024
Energy-Based Modelling for Discrete and Mixed Data via Heat Equations on Structured Spaces
NeurIPS 2024
Energy Efficient Streaming Time Series Classification with Attentive Power Iteration
AAAI 2024
Enforcing Sparsity on Latent Space for Robust and Explainable Representations
WACV 2024