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)
Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters
NeurIPS 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
ICML 2024
ConR: Contrastive Regularizer for Deep Imbalanced Regression
ICLR 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
ICLR 2024
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework
AAAI 2024
Considering Human Interaction and Variability in Automatic Text Simplification
EMNLP 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
ACL 2024
Consistency and Uncertainty: Identifying Unreliable Responses From Black-Box Vision-Language Models for Selective Visual Question Answering
CVPR 2024
Consistency-GAN: Training GANs with Consistency Model
AAAI 2024
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
AAAI 2024
Consistency of Dictionary-Based Manifold Learning
AISTATS 2024
Consistency of Neural Causal Partial Identification
NeurIPS 2024
Consistency Regularization for Domain Generalization with Logit Attribution Matching
UAI 2024
Consistency Training with Learnable Data Augmentation for Graph Anomaly Detection with Limited Supervision
ICLR 2024
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
ICML 2024
Consistent Autoformalization for Constructing Mathematical Libraries
EMNLP 2024
Consistent Document-level Relation Extraction via Counterfactuals
EMNLP 2024
ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference
AAAI 2024
Consistent Multiclass Algorithms for Complex Metrics and Constraints
JMLR 2024
Consistent Multi-Class Classification from Multiple Unlabeled Datasets
ICLR 2024
Consistent Optimal Transport with Empirical Conditional Measures
AISTATS 2024
Consistent Prompting for Rehearsal-Free Continual Learning
CVPR 2024
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
AAAI 2024
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
Constant or Logarithmic Regret in Asynchronous Multiplayer Bandits with Limited Communication
AISTATS 2024