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)
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization
AAAI 2024
Kernel PCA for Out-of-Distribution Detection
NeurIPS 2024
Key-Grid: Unsupervised 3D Keypoints Detection using Grid Heatmap Features
NeurIPS 2024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs
ICML 2024
KFNN: K-Free Nearest Neighbor For Crowdsourcing
NeurIPS 2024
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
AAAI 2024
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
AAAI 2024
KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding
AAAI 2024
kGym: A Platform and Dataset to Benchmark Large Language Models on Linux Kernel Crash Resolution
NeurIPS 2024
KidLM: Advancing Language Models for Children – Early Insights and Future Directions
EMNLP 2024
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models
ACL 2024
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
ICLR 2024
KNN-Instruct: Automatic Instruction Construction with K Nearest Neighbor Deduction
EMNLP 2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition
COLING 2024
KnowComp at SemEval-2024 Task 9: Conceptualization-Augmented Prompting with Large Language Models for Lateral Reasoning
SemEval 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
NAACL 2024
Knowledge-aware Attention Network for Medication Effectiveness Prediction
COLING 2024
Knowledge-Aware Neuron Interpretation for Scene Classification
AAAI 2024
Knowledge Composition using Task Vectors with Learned Anisotropic Scaling
NeurIPS 2024
Knowledge Conflicts for LLMs: A Survey
EMNLP 2024
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion
ACL 2024
Knowledge Distillation from Self-Supervised Representation Learning Model with Discrete Speech Units for Any-to-Any Streaming Voice Conversion
Interspeech 2024
Knowledge Distillation from Single-Task Teachers to Multi-Task Student for End-to-End Autonomous Driving
AAAI 2024
Knowledge Editing in Language Models via Adapted Direct Preference Optimization
EMNLP 2024
Knowledge-Enhanced Dual-stream Zero-shot Composed Image Retrieval
CVPR 2024