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)
Safe learning in nonlinear model predictive control
L4DC 2024
Safe Linear Bandits over Unknown Polytopes
COLT 2024
Safe LoRA: The Silver Lining of Reducing Safety Risks when Finetuning Large Language Models
NeurIPS 2024
Safe Reinforcement Learning with Instantaneous Constraints: The Role of Aggressive Exploration
AAAI 2024
SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models
NeurIPS 2024
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack
ACL 2024
SafetyBench: Evaluating the Safety of Large Language Models
ACL 2024
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
NeurIPS 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
ICLR 2024
SAGA: A Participant-specific Examination of Story Alternatives and Goal Applicability for a Deeper Understanding of Complex Events
ACL 2024
SAI3D: Segment Any Instance in 3D Scenes
CVPR 2024
SALAD-Bench: A Hierarchical and Comprehensive Safety Benchmark for Large Language Models
ACL 2024
Salience-Based Adaptive Masking: Revisiting Token Dynamics for Enhanced Pre-training
ECCV 2024
Saliency-driven Experience Replay for Continual Learning
NeurIPS 2024
SALMONN: Towards Generic Hearing Abilities for Large Language Models
ICLR 2024
SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
CVPR 2024
SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
ICML 2024
SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images
WACV 2024
SAM-Guided Masked Token Prediction for 3D Scene Understanding
NeurIPS 2024
Sample and Computationally Efficient Robust Learning of Gaussian Single-Index Models
NeurIPS 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
NeurIPS 2024
Sample Complexity of Interventional Causal Representation Learning
NeurIPS 2024
Sample Complexity of Posted Pricing for a Single Item
NeurIPS 2024
Sample Complexity Reduction via Policy Difference Estimation in Tabular Reinforcement Learning
NeurIPS 2024
Sample-efficient Adversarial Imitation Learning
JMLR 2024