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)
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
ACL 2024
Stars Are All You Need: A Distantly Supervised Pyramid Network for Unified Sentiment Analysis
EACL 2024
Start Simple: Progressive Difficulty Multitask Learning
NAACL 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning
NeurIPS 2024
State Representation Learning Using an Unbalanced Atlas
ICLR 2024
Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements
CVPR 2024
Statistical curriculum learning: An elimination algorithm achieving an oracle risk
COLT 2024
Statistical Efficiency of Distributional Temporal Difference Learning
NeurIPS 2024
Statistical Rejection Sampling Improves Preference Optimization
ICLR 2024
Stealthy Adversarial Attacks on Stochastic Multi-Armed Bandits
AAAI 2024
Stealthy Attack on Large Language Model based Recommendation
ACL 2024
Steering Prototypes With Prompt-Tuning for Rehearsal-Free Continual Learning
WACV 2024
STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment
ICML 2024
STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation
AAAI 2024
Step-by-Step Reasoning to Solve Grid Puzzles: Where do LLMs Falter?
EMNLP 2024
Step Differences in Instructional Video
CVPR 2024
Step-level Value Preference Optimization for Mathematical Reasoning
EMNLP 2024
Stepping Forward on the Last Mile
NeurIPS 2024
STEP - Towards Structured Scene-Text Spotting
WACV 2024
Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
AAAI 2024
Stereographic Spherical Sliced Wasserstein Distances
ICML 2024
Sterling: Synergistic Representation Learning on Bipartite Graphs
AAAI 2024
StFX-NLP at SemEval-2024 Task 9: BRAINTEASER: Three Unsupervised Riddle-Solvers
SemEval 2024
STL: Still Tricky Logic (for System Validation, Even When Showing Your Work)
NeurIPS 2024
Stochastic Binary Network for Universal Domain Adaptation
WACV 2024