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)
Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection
AAAI 2024
Generating Contrastive Narratives Using the Brownian Bridge Process for Narrative Coherence Learning
ACL 2024
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning
EMNLP 2024
Generating Enhanced Negatives for Training Language-Based Object Detectors
CVPR 2024
Generating Universal Adversarial Perturbations for Quantum Classifiers
AAAI 2024
Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM
EACL 2024
Generative Adversarial Model-Based Optimization via Source Critic Regularization
NeurIPS 2024
Generative Adversarial Ranking Nets
JMLR 2024
Generative-Based Fusion Mechanism for Multi-Modal Tracking
AAAI 2024
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond
ACL 2024
Generative Deduplication For Socia Media Data Selection
EMNLP 2024
Generative Dictionary: Improving Language Learner Understanding with Contextual Definitions
EMNLP 2024
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
ACL 2024
Generative Flow Networks as Entropy-Regularized RL
AISTATS 2024
Generative Forests
NeurIPS 2024
Generative Fractional Diffusion Models
NeurIPS 2024
Generative Hierarchical Materials Search
NeurIPS 2024
Generative Input: Towards Next-Generation Input Methods Paradigm
ACL 2024
Generative Interpretation: Toward Human-Like Evaluation for Educational Question-Answer Pair Generation
EACL 2024
Generative Model for Decision Trees
AAAI 2024
Generative Modeling of Molecular Dynamics Trajectories
NeurIPS 2024
Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality
AAAI 2024
Generative Multi-modal Models are Good Class Incremental Learners
CVPR 2024
Generative Multimodal Models are In-Context Learners
CVPR 2024
Generative Pretrained Structured Transformers: Unsupervised Syntactic Language Models at Scale
ACL 2024