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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Papers (including subtopics)
Studying Language Variation Considering the Re-Usability of Modern Theories, Tools and Resources for Annotating Explicit and Implicit Events in Centuries Old Text
NAACL 2024
Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks
ACL 2024
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
ICML 2024
Style Adaptation and Uncertainty Estimation for Multi-Source Blended-Target Domain Adaptation
NeurIPS 2024
Style Aligned Image Generation via Shared Attention
CVPR 2024
StyleFlow: Disentangle Latent Representations via Normalizing Flow for Unsupervised Text Style Transfer
COLING 2024
Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
EACL 2024
StyleSinger: Style Transfer for Out-of-Domain Singing Voice Synthesis
AAAI 2024
STYLIP: Multi-Scale Style-Conditioned Prompt Learning for CLIP-Based Domain Generalization
WACV 2024
StyLitGAN: Image-Based Relighting via Latent Control
CVPR 2024
Subgraph Pooling: Tackling Negative Transfer on Graphs
IJCAI 2024
Subject-driven Text-to-Image Generation via Preference-based Reinforcement Learning
NeurIPS 2024
Subjectivity Detection in English News using Large Language Models
ACL 2024
Submodular Reinforcement Learning
ICLR 2024
Sub-optimal Experts mitigate Ambiguity in Inverse Reinforcement Learning
NeurIPS 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
NAACL 2024
Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals
COLING 2024
Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning
NeurIPS 2024
Successfully Guiding Humans with Imperfect Instructions by Highlighting Potential Errors and Suggesting Corrections
EMNLP 2024
SU-FMI at SemEval-2024 Task 5: From BERT Fine-Tuning to LLM Prompt Engineering - Approaches in Legal Argument Reasoning
SemEval 2024
SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning
AAAI 2024
SUGAR: Pre-training 3D Visual Representations for Robotics
CVPR 2024
Sui Generis: Large Language Models for Authorship Attribution and Verification in Latin
EMNLP 2024
SumCSE: Summary as a transformation for Contrastive Learning
NAACL 2024
SummaCoz: A Dataset for Improving the Interpretability of Factual Consistency Detection for Summarization
EMNLP 2024