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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'10
'15
'20
'25
Papers (including subtopics)
Sequential Compositional Generalization in Multimodal Models
NAACL 2024
Sequential Decision Making with Expert Demonstrations under Unobserved Heterogeneity
NeurIPS 2024
Sequential Editing for Lifelong Training of Speech Recognition Models
Interspeech 2024
Sequential Harmful Shift Detection Without Labels
NeurIPS 2024
Sequential learning of the Pareto front for multi-objective bandits
AISTATS 2024
Sequential LLM Framework for Fashion Recommendation
EMNLP 2024
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
NeurIPS 2024
SER Evals: In-domain and Out-of-domain benchmarking for speech emotion recognition
Interspeech 2024
Serialized Output Training by Learned Dominance
Interspeech 2024
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
NAACL 2024
SeTAR: Out-of-Distribution Detection with Selective Low-Rank Approximation
NeurIPS 2024
Set-based Neural Network Encoding Without Weight Tying
NeurIPS 2024
SetFit: A Robust Approach for Offensive Content Detection in Tamil-English Code-Mixed Conversations Using Sentence Transfer Fine-tuning
EACL 2024
Set Learning for Accurate and Calibrated Models
ICLR 2024
SETLEXSEM CHALLENGE: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models
NeurIPS 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
AAAI 2024
Several Stories about High-Multiplicity EFx Allocation (Student Abstract)
AAAI 2024
SFC: Shared Feature Calibration in Weakly Supervised Semantic Segmentation
AAAI 2024
SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning
ICML 2024
SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
CVPR 2024
SFOD: Spiking Fusion Object Detector
CVPR 2024
SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation
NeurIPS 2024
SH2: Self-Highlighted Hesitation Helps You Decode More Truthfully
EMNLP 2024
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
NeurIPS 2024
ShadowSense: A Multi-annotated Dataset for Evaluating Word Sense Induction
COLING 2024