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)
Efficient Federated Multi-View Clustering with Integrated Matrix Factorization and K-Means
IJCAI 2024
Efficient Hyperparameter Optimization with Adaptive Fidelity Identification
CVPR 2024
Efficient imitation learning with conservative world models
L4DC 2024
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning
NAACL 2024
Efficient Interactive Maximization of BP and Weakly Submodular Objectives
UAI 2024
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
ACL 2024
Efficient Knowledge Infusion via KG-LLM Alignment
ACL 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles
AAAI 2024
Efficient Lifelong Model Evaluation in an Era of Rapid Progress
NeurIPS 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons
EMNLP 2024
Efficient LLM Scheduling by Learning to Rank
NeurIPS 2024
Efficient local linearity regularization to overcome catastrophic overfitting
ICLR 2024
Efficiently Acquiring Human Feedback with Bayesian Deep Learning
EACL 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning
AISTATS 2024
Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials
COLT 2024
Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
NeurIPS 2024
Efficient Modality Selection in Multimodal Learning
JMLR 2024
Efficient multi-prompt evaluation of LLMs
NeurIPS 2024
Efficient Multitask Dense Predictor via Binarization
CVPR 2024
Efficient Multi-task LLM Quantization and Serving for Multiple LoRA Adapters
NeurIPS 2024
Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference
IJCAI 2024
Efficient Neural Architecture Design via Capturing Architecture-Performance Joint Distribution
AISTATS 2024
Efficient OCR for Building a Diverse Digital History
ACL 2024
Efficient Online Crowdsourcing with Complex Annotations
AAAI 2024
Efficient Overshadowed Entity Disambiguation by Mitigating Shortcut Learning
EMNLP 2024