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
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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)
Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning
NeurIPS 2024
DeTikZify: Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
NeurIPS 2024
DetoxLLM: A Framework for Detoxification with Explanations
EMNLP 2024
Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features
Interspeech 2024
Development and Evaluation of a German Language Model for the Financial Domain
COLING 2024
Development of Cognitive Intelligence in Pre-trained Language Models
EMNLP 2024
DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
NeurIPS 2024
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection
AAAI 2024
DGPO: Discovering Multiple Strategies with Diversity-Guided Policy Optimization
AAAI 2024
DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning
AAAI 2024
DHMConv: Directed Hypergraph Momentum Convolution Framework
AISTATS 2024
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
ECCV 2024
DIALECT-COPA: Extending the Standard Translations of the COPA Causal Commonsense Reasoning Dataset to South Slavic Dialects
NAACL 2024
Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems
NAACL 2024
Dialog2Flow: Pre-training Soft-Contrastive Action-Driven Sentence Embeddings for Automatic Dialog Flow Extraction
EMNLP 2024
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
EACL 2024
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
AAAI 2024
DICE @ ML-ESG-3: ESG Impact Level and Duration Inference Using LLMs for Augmentation and Contrastive Learning
COLING 2024
Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages
ACL 2024
Dictionary Contrastive Learning for Efficient Local Supervision without Auxiliary Networks
ICLR 2024
DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space
AAAI 2024
Diff2Lip: Audio Conditioned Diffusion Models for Lip-Synchronization
WACV 2024
DiffAIL: Diffusion Adversarial Imitation Learning
AAAI 2024
DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
CVPR 2024
DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval
Interspeech 2024