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)
DVANet: Disentangling View and Action Features for Multi-View Action Recognition
AAAI 2024
DVD: Dynamic Contrastive Decoding for Knowledge Amplification in Multi-Document Question Answering
EMNLP 2024
DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering
AAAI 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
CVPR 2024
Dynamic against Dynamic: An Open-Set Self-Learning Framework
IJCAI 2024
Dynamically Anchored Prompting for Task-Imbalanced Continual Learning
IJCAI 2024
Dynamic Budget Throttling in Repeated Second-Price Auctions
AAAI 2024
Dynamic Conditional Optimal Transport through Simulation-Free Flows
NeurIPS 2024
DynamicER: Resolving Emerging Mentions to Dynamic Entities for RAG
EMNLP 2024
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
CVPR 2024
Dynamicity-aware Social Bot Detection with Dynamic Graph Transformers
IJCAI 2024
Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
EMNLP 2024
Dynamic Neural Regeneration: Enhancing Deep Learning Generalization on Small Datasets
NeurIPS 2024
Dynamic Policy-Driven Adaptive Multi-Instance Learning for Whole Slide Image Classification
CVPR 2024
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
EMNLP 2024
Dynamic Rescaling for Training GNNs
NeurIPS 2024
Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models
EMNLP 2024
Dynamic Service Fee Pricing under Strategic Behavior: Actions as Instruments and Phase Transition
NeurIPS 2024
Dynamics of Supervised and Reinforcement Learning in the Non-Linear Perceptron
NeurIPS 2024
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
AAAI 2024
Dynamic Subgroup Identification in Covariate-adjusted Response-adaptive Randomization Experiments
NeurIPS 2024
Dynamic Weighted Combiner for Mixed-Modal Image Retrieval
AAAI 2024
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering
IJCAI 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control
NeurIPS 2024
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
ACL 2024