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
'25
Papers (including subtopics)
DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation
COLING 2024
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
NeurIPS 2024
DAFA: Distance-Aware Fair Adversarial Training
ICLR 2024
DAG-Aware Variational Autoencoder for Social Propagation Graph Generation
AAAI 2024
DAG-Based Column Generation for Adversarial Team Games
ICML 2024
DAGER: Exact Gradient Inversion for Large Language Models
NeurIPS 2024
DAG-Informed Structure Learning from Multi-Dimensional Point Processes
JMLR 2024
Daily auditory environments in French-speaking infants: A longitudinal dataset
ACL 2024
Daisy at WASSA 2024 Empathy and Personality Shared Task: A Quick Exploration on Emotional Pattern of Empathy and Distress
ACL 2024
DAISY: Data Adaptive Self-Supervised Early Exit for Speech Representation Models
Interspeech 2024
DALD: Improving Logits-based Detector without Logits from Black-box LLMs
NeurIPS 2024
DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning
AAAI 2024
DANCE: Dual-View Distribution Alignment for Dataset Condensation
IJCAI 2024
DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance Assessment via Transformer Text Prompting
AAAI 2024
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
EMNLP 2024
Dancing with Still Images: Video Distillation via Static-Dynamic Disentanglement
CVPR 2024
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning
AAAI 2024
DAP: A Dynamic Adversarial Patch for Evading Person Detectors
CVPR 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning
IJCAI 2024
DarkSAM: Fooling Segment Anything Model to Segment Nothing
NeurIPS 2024
DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation
AAAI 2024
DART-Eval: A Comprehensive DNA Language Model Evaluation Benchmark on Regulatory DNA
NeurIPS 2024
DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
NeurIPS 2024
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
NeurIPS 2024
Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification
AAAI 2024