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
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Papers (including subtopics)
A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
ACL 2024
A Novel Evolutionary Multitasking Feature Selection Approach for Genomic Data Classification
ACML 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction
IJCAI 2024
A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
EMNLP 2024
A Novel Paradigm Boosting Translation Capabilities of Large Language Models
NAACL 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation
NeurIPS 2024
Answer is All You Need: Instruction-following Text Embedding via Answering the Question
ACL 2024
Anti-LM Decoding for Zero-shot In-context Machine Translation
NAACL 2024
An Unsupervised Approach for Periodic Source Detection in Time Series
ICML 2024
An Unsupervised Approach to Achieve Supervised-Level Explainability in Healthcare Records
EMNLP 2024
An Unsupervised Framework for Adaptive Context-aware Simplified-Traditional Chinese Character Conversion
COLING 2024
Any2Policy: Learning Visuomotor Policy with Any-Modality
NeurIPS 2024
Any-Shift Prompting for Generalization over Distributions
CVPR 2024
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
CVPR 2024
AnyStar: Domain Randomized Universal Star-Convex 3D Instance Segmentation
WACV 2024
Any-Way Meta Learning
AAAI 2024
A One-Shot Learning Approach To Document Layout Segmentation of Ancient Arabic Manuscripts
WACV 2024
A PAC Learning Algorithm for LTL and Omega-Regular Objectives in MDPs
AAAI 2024
A Parameter-efficient Language Extension Framework for Multilingual ASR
Interspeech 2024
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching
NAACL 2024
A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners
EMNLP 2024
A Perspective of Q-value Estimation on Offline-to-Online Reinforcement Learning
AAAI 2024
A Perspectivist Corpus of Numbers in Social Judgements
COLING 2024
A Phase Transition between Positional and Semantic Learning in a Solvable Model of Dot-Product Attention
NeurIPS 2024
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions
CVPR 2024