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)
Data Augmentation for Maltese NLP using Transliterated and Machine Translated Arabic Data
EMNLP 2025
Data-Centric Improvements for Enhancing Multi-Modal Understanding in Spoken Conversation Modeling
ACL 2025
Data-centric NLP Backdoor Defense from the Lens of Memorization
NAACL 2025
Data Descriptions from Large Language Models with Influence Estimation
EMNLP 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
Data Doping or True Intelligence? Evaluating the Transferability of Injected Knowledge in LLMs
EMNLP 2025
Data-Driven Upper Confidence Bounds with Near-Optimal Regret for Heavy-Tailed Bandits
AISTATS 2025
Data Drives Unstable Hierarchical Generalization in LMs
EMNLP 2025
Data-Efficient Automatic Prompt Optimization for Memory-Enhanced Conversational Agents
EMNLP 2025
Data-Efficient Selection via Grammatical Complexity in Continual Pre-training of Domain-Specific LLMs
EMNLP 2025
Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
CVPR 2025
Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
AAAI 2025
Data Gatherer: LLM-Powered Dataset Reference Extraction from Scientific Literature
ACL 2025
Dataground at SemEval-2025 Task 8: Small LLMs and Preference Optimization for Tabular QA
SemEval 2025
Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models
ICML 2025
Data Pruning by Information Maximization
ICLR 2025
Data Quality Enhancement on the Basis of Diversity with Large Language Models for Text Classification: Uncovered, Difficult, and Noisy
COLING 2025
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-training of Deep Networks
ICLR 2025
Dataset Distillation via the Wasserstein Metric
ICCV 2025
Dataset Distillation via Vision-Language Category Prototype
ICCV 2025
Dataset Distillation with Neural Characteristic Function: A Minmax Perspective
CVPR 2025
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
ACL 2025
Dataset Ownership Verification in Contrastive Pre-trained Models
ICLR 2025
Data Taggants: Dataset Ownership Verification Via Harmless Targeted Data Poisoning
ICLR 2025
Data to Defense: The Role of Curation in Aligning Large Language Models Against Safety Compromise
EMNLP 2025