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
'25
Papers (including subtopics)
SoundingActions: Learning How Actions Sound from Narrated Egocentric Videos
CVPR 2024
Source-Free Domain Adaptation with Frozen Multimodal Foundation Model
CVPR 2024
Space Decomposition for Sentence Embedding
ACL 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
NeurIPS 2024
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer
CVPR 2024
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing
ACL 2024
Span-based Unified Named Entity Recognition Framework via Contrastive Learning
IJCAI 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization
NeurIPS 2024
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation
ICLR 2024
Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation
AAAI 2024
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations
ACL 2024
Sparse is Enough in Fine-tuning Pre-trained Large Language Models
ICML 2024
Sparse maximal update parameterization: A holistic approach to sparse training dynamics
NeurIPS 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach
JMLR 2024
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
CVPR 2024
Sparsh: Self-supervised touch representations for vision-based tactile sensing
CoRL 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
NeurIPS 2024
Spatial-Logic-Aware Weakly Supervised Learning for Flood Mapping on Earth Imagery
AAAI 2024
Spatial properties of Bayesian unsupervised trees
COLT 2024
Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics
AAAI 2024
Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)
AAAI 2024
Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting
IJCAI 2024
Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation
AAAI 2024
Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation
IJCAI 2024
Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation
ICLR 2024