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
'25
Papers (including subtopics)
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation
AAAI 2024
CORES: Convolutional Response-based Score for Out-of-distribution Detection
CVPR 2024
CORI: CJKV Benchmark with Romanization Integration - a Step towards Cross-lingual Transfer beyond Textual Scripts
COLING 2024
Correcting Diffusion Generation through Resampling
CVPR 2024
Correcting Language Model Bias for Text Classification in True Zero-Shot Learning
COLING 2024
Correlation-Aware Active Learning for Surgery Video Segmentation
WACV 2024
Correlation-Decoupled Knowledge Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
CVPR 2024
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation
CVPR 2024
Corruption-Robust Offline Two-Player Zero-Sum Markov Games
AISTATS 2024
CoSAEmb: Contrastive Section-aware Aspect Embeddings for Scientific Articles
ACL 2024
Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation
EMNLP 2024
CoSW: Conditional Sample Weighting for Smoke Segmentation with Label Noise
NeurIPS 2024
CoT-based Data Augmentation Strategy for Persuasion Techniques Detection
SemEval 2024
CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
EMNLP 2024
Co-training for Low Resource Scientific Natural Language Inference
ACL 2024
CoUDA: Coherence Evaluation via Unified Data Augmentation
NAACL 2024
CounterCurate: Enhancing Physical and Semantic Visio-Linguistic Compositional Reasoning via Counterfactual Examples
ACL 2024
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning
NeurIPS 2024
Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis
AAAI 2024
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ (Abstract Reprint)
AAAI 2024
Counterfactual Fairness by Combining Factual and Counterfactual Predictions
NeurIPS 2024
Counterfactual Graph Learning for Anomaly Detection with Feature Disentanglement and Generation (Student Abstract)
AAAI 2024
Countering Personalized Text-to-Image Generation with Influence Watermarks
CVPR 2024
Countering Relearning with Perception Revising Unlearning
ACML 2024
Countering Reward Over-Optimization in LLM with Demonstration-Guided Reinforcement Learning
ACL 2024