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)
RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress
ACL 2024
RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs
EMNLP 2024
Rule-Based, Neural and LLM Back-Translation: Comparative Insights from a Variant of Ladin
ACL 2024
Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
ACL 2024
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models
EMNLP 2024
Russian Learner Corpus: Towards Error-Cause Annotation for L2 Russian
COLING 2024
RVT-2: Learning Precise Manipulation from Few Demonstrations
RSS 2024
RWKV-CLIP: A Robust Vision-Language Representation Learner
EMNLP 2024
RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation
AAAI 2024
S$^{2}$FT: Efficient, Scalable and Generalizable LLM Fine-tuning by Structured Sparsity
NeurIPS 2024
S3AD: Semi-Supervised Small Apple Detection in Orchard Environments
WACV 2024
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
AAAI 2024
S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning
ICML 2024
S3Prompt: Instructing the Model with Self-calibration, Self-recall and Self-aggregation to Improve In-context Learning
COLING 2024
SA3DIP: Segment Any 3D Instance with Potential 3D Priors
NeurIPS 2024
SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models
EMNLP 2024
SACNN: Self Attention-based Convolutional Neural Network for Fraudulent Behaviour Detection in Sports
IJCAI 2024
SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training
CVPR 2024
Safe Abductive Learning in the Presence of Inaccurate Rules
AAAI 2024
Safe and Efficient: A Primal-Dual Method for Offline Convex CMDPs under Partial Data Coverage
NeurIPS 2024
Safe and Interpretable Estimation of Optimal Treatment Regimes
AISTATS 2024
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
AAAI 2024
Safe Exploitative Play with Untrusted Type Beliefs
NeurIPS 2024
Safeguarding Fraud Detection from Attacks: A Robust Graph Learning Approach
IJCAI 2024
Safeguarding Sustainable Cities: Unsupervised Video Anomaly Detection through Diffusion-based Latent Pattern Learning
IJCAI 2024