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
'5
'10
'15
'20
'25
Papers (including subtopics)
DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking
CVPR 2024
DiffVC+: Improving Diffusion-based Voice Conversion for Speaker Anonymization
Interspeech 2024
DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph
AAAI 2024
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
NeurIPS 2024
Digital Avatars: Framework Development and Their Evaluation
IJCAI 2024
DILAB at #SMM4H 2024: Analyzing Social Anxiety Effects through Context-Aware Transfer Learning on Reddit Data
ACL 2024
DiLiGenRT: A Photometric Stereo Dataset with Quantified Roughness and Translucency
CVPR 2024
DI-MaskDINO: A Joint Object Detection and Instance Segmentation Model
NeurIPS 2024
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference
ACL 2024
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
AAAI 2024
DINO-VITS: Data-Efficient Zero-Shot TTS with Self-Supervised Speaker Verification Loss for Noise Robustness
Interspeech 2024
DIOD: Self-Distillation Meets Object Discovery
CVPR 2024
DiPEx: Dispersing Prompt Expansion for Class-Agnostic Object Detection
NeurIPS 2024
DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
NeurIPS 2024
Directional Optimism for Safe Linear Bandits
AISTATS 2024
Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
ACL 2024
Direct May Not Be the Best: An Incremental Evolution View of Pose Generation
AAAI 2024
Direct Metric Optimization for Image Captioning through Reward-Weighted Augmented Data Utilization
ACL 2024
Direct Multi-Turn Preference Optimization for Language Agents
EMNLP 2024
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding
NAACL 2024
Direct Preference Optimization with an Offset
ACL 2024
Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
NeurIPS 2024
Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning
ICLR 2024
Dirichlet-Based Prediction Calibration for Learning with Noisy Labels
AAAI 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks
IJCAI 2024