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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'15
'20
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Papers (including subtopics)
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts
EACL 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images
NeurIPS 2024
Data-Augmentation-Based Dialectal Adaptation for LLMs
NAACL 2024
Data Augmentation for Speech-Based Diacritic Restoration
ACL 2024
Data Augmentation with Diffusion for Open-Set Semi-Supervised Learning
NeurIPS 2024
Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts
AAAI 2024
Data Augmented Graph Neural Networks for Personality Detection
AAAI 2024
Data-Centric Debugging: Mitigating Model Failures via Targeted Image Retrieval
WACV 2024
Data Contamination Calibration for Black-box LLMs
ACL 2024
Data Contamination Can Cross Language Barriers
EMNLP 2024
DATA-CUBE: Data Curriculum for Instruction-based Sentence Representation Learning
ACL 2024
Data, Data Everywhere: A Guide for Pretraining Dataset Construction
EMNLP 2024
Data Diversity Matters for Robust Instruction Tuning
EMNLP 2024
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
ACL 2024
Data-Driven Discovery of Design Specifications (Student Abstract)
AAAI 2024
Data-Driven Knowledge-Aware Inference of Private Information in Continuous Double Auctions
AAAI 2024
Data-Efficient Contrastive Language-Image Pretraining: Prioritizing Data Quality over Quantity
AISTATS 2024
Data-Efficient Graph Learning
AAAI 2024
Data-Efficient Multimodal Fusion on a Single GPU
CVPR 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
NeurIPS 2024
Data-faithful Feature Attribution: Mitigating Unobservable Confounders via Instrumental Variables
NeurIPS 2024
Dataflow-Guided Retrieval Augmentation for Repository-Level Code Completion
ACL 2024
Data Free Backdoor Attacks
NeurIPS 2024
Data-Free Generalized Zero-Shot Learning
AAAI 2024