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
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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)
Sieve: Multimodal Dataset Pruning using Image Captioning Models
CVPR 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization
AISTATS 2024
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
EMNLP 2024
Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics
AAAI 2024
Signer Diversity-driven Data Augmentation for Signer-Independent Sign Language Translation
NAACL 2024
SIG: Speaker Identification in Literature via Prompt-Based Generation
AAAI 2024
silp_nlp at SemEval-2024 Task 1: Cross-lingual Knowledge Transfer for Mono-lingual Learning
SemEval 2024
SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models
CVPR 2024
SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes
AAAI 2024
SimCS: Simulation for Domain Incremental Online Continual Segmentation
AAAI 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks
NeurIPS 2024
SI-MIL: Taming Deep MIL for Self-Interpretability in Gigapixel Histopathology
CVPR 2024
Simple Contrastive Multi-View Clustering with Data-Level Fusion
IJCAI 2024
Simple Image-Level Classification Improves Open-Vocabulary Object Detection
AAAI 2024
Simple Masked Training Strategies Yield Control Policies That Are Robust to Sensor Failure
CoRL 2024
Simple online learning with consistent oracle
COLT 2024
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
WACV 2024
Simple Semantic-Aided Few-Shot Learning
CVPR 2024
Simple Temperature Cool-down in Contrastive Framework for Unsupervised Sentence Representation Learning
EACL 2024
Simple Weak Coresets for Non-decomposable Classification Measures
AAAI 2024
Simplicity Bias in Overparameterized Machine Learning
AAAI 2024
Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
AAAI 2024
Simplifying Constraint Inference with Inverse Reinforcement Learning
NeurIPS 2024
Simplifying Latent Dynamics with Softly State-Invariant World Models
NeurIPS 2024
SimpliMix: A Simplified Manifold Mixup for Few-Shot Point Cloud Classification
WACV 2024