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)
Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework
COLT 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data
JMLR 2024
Stochastic contextual bandits with graph feedback: from independence number to MAS number
NeurIPS 2024
Stochastic Kernel Regularisation Improves Generalisation in Deep Kernel Machines
NeurIPS 2024
Stochastic Multi-Armed Bandits with Strongly Reward-Dependent Delays
AISTATS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
NeurIPS 2024
Stochastic Optimization Schemes for Performative Prediction with Nonconvex Loss
NeurIPS 2024
Stochastic positional embeddings improve masked image modeling
ICML 2024
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization
AISTATS 2024
StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting
AAAI 2024
STONE: A Submodular Optimization Framework for Active 3D Object Detection
NeurIPS 2024
STOP! Benchmarking Large Language Models with Sensitivity Testing on Offensive Progressions
EMNLP 2024
Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles
AAAI 2024
STORYSUMM: Evaluating Faithfulness in Story Summarization
EMNLP 2024
StraGo: Harnessing Strategic Guidance for Prompt Optimization
EMNLP 2024
Strategic Aspects of Stable Matching Markets: A Survey
IJCAI 2024
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning
EMNLP 2024
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
ICLR 2024
Strategic Usage in a Multi-Learner Setting
AISTATS 2024
Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems
AAAI 2024
Stratified Avatar Generation from Sparse Observations
CVPR 2024
Stream-based Active Learning for Anomalous Sound Detection in Machine Condition Monitoring
Interspeech 2024
StreamBench: Towards Benchmarking Continuous Improvement of Language Agents
NeurIPS 2024
STREAM: Simplified Topic Retrieval, Exploration, and Analysis Module
ACL 2024
StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
ACL 2024