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
'25
Papers (including subtopics)
Domain Incremental Lifelong Learning in an Open World
ACL 2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
NeurIPS 2023
Domain-specific Attention with Distributional Signatures for Multi-Domain End-to-end Task-Oriented Dialogue
ACL 2023
Domain Transfer for Empathy, Distress, and Personality Prediction
ACL 2023
DoMo-AC: Doubly Multi-step Off-policy Actor-Critic Algorithm
ICML 2023
Do Models Really Learn to Follow Instructions? An Empirical Study of Instruction Tuning
ACL 2023
Do not Mask Randomly: Effective Domain-adaptive Pre-training by Masking In-domain Keywords
ACL 2023
Don’t Add, don’t Miss: Effective Content Preserving Generation from Pre-Selected Text Spans
EMNLP 2023
Don’t Be So Sure! Boosting ASR Decoding via Confidence Relaxation
AAAI 2023
Don’t fear the unlabelled: safe semi-supervised learning via debiasing
ICLR 2023
Don’t Mess with Mister-in-Between: Improved Negative Search for Knowledge Graph Completion
EACL 2023
Don’t Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text
ACL 2023
Don’t Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
NeurIPS 2023
Don’t Stop Self-Supervision: Accent Adaptation of Speech Representations via Residual Adapters
Interspeech 2023
Don’t waste a single annotation: improving single-label classifiers through soft labels
EMNLP 2023
Doodle to Object: Practical Zero-Shot Sketch-Based 3D Shape Retrieval
AAAI 2023
Doolittle: Benchmarks and Corpora for Academic Writing Formalization
EMNLP 2023
Do Perceptually Aligned Gradients Imply Robustness?
ICML 2023
Do Pre-Trained Models Benefit Equally in Continual Learning?
WACV 2023
Do Question Answering Modeling Improvements Hold Across Benchmarks?
ACL 2023
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning
NeurIPS 2023
Do Stochastic Parrots have Feelings Too? Improving Neural Detection of Synthetic Text via Emotion Recognition
EMNLP 2023
DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures
Interspeech 2023
Double Doubly Robust Thompson Sampling for Generalized Linear Contextual Bandits
AAAI 2023
Double-Weighting for Covariate Shift Adaptation
ICML 2023