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
'5
'10
'15
'20
'25
Papers (including subtopics)
Evaluating Moral Beliefs across LLMs through a Pluralistic Framework
EMNLP 2024
Evaluating n-Gram Novelty of Language Models Using Rusty-DAWG
EMNLP 2024
Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
AAAI 2024
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency
COLING 2024
Evaluating Psychological Safety of Large Language Models
EMNLP 2024
Evaluating Self-Supervised Speech Representations for Indigenous American Languages
COLING 2024
Evaluating Step-by-Step Reasoning through Symbolic Verification
NAACL 2024
Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off
ECCV 2024
Evaluating the Effectiveness of Large Language Models in Establishing Conversational Grounding
EMNLP 2024
Evaluating the Effectiveness of Retrieval-Augmented Large Language Models in Scientific Document Reasoning
ACL 2024
Evaluating the fairness of task-adaptive pretraining on unlabeled test data before few-shot text classification
EMNLP 2024
Evaluating the Potential of Language-family-specific Generative Models for Low-resource Data Augmentation: A Faroese Case Study
COLING 2024
Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models
ACL 2024
Evaluating Transferability in Retrieval Tasks: An Approach Using MMD and Kernel Methods
CVPR 2024
Evaluating Unsupervised Argument Aligners via Generation of Conclusions of Structured Scientific Abstracts
EACL 2024
Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings
COLING 2024
Evaluation of LLMs on Syntax-Aware Code Fill-in-the-Middle Tasks
ICML 2024
Evaluation of Test-Time Adaptation Under Computational Time Constraints
ICML 2024
Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition
WACV 2024
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition
CVPR 2024
Event-enhanced Retrieval in Real-time Search
COLING 2024
Event Representation Learning with Multi-Grained Contrastive Learning and Triple-Mixture of Experts
COLING 2024
Every Answer Matters: Evaluating Commonsense with Probabilistic Measures
ACL 2024
Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor
NeurIPS 2024
Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering
AAAI 2024