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
'5
'10
'15
'20
'25
Papers (including subtopics)
Interpreting Learned Feedback Patterns in Large Language Models
NeurIPS 2024
Interpret Your Decision: Logical Reasoning Regularization for Generalization in Visual Classification
NeurIPS 2024
InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers
ACL 2024
Interventional Causal Discovery in a Mixture of DAGs
NeurIPS 2024
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
ICLR 2024
Inter-X: Towards Versatile Human-Human Interaction Analysis
CVPR 2024
IntraMix: Intra-Class Mixup Generation for Accurate Labels and Neighbors
NeurIPS 2024
Intraoperative 2D/3D Image Registration via Differentiable X-ray Rendering
CVPR 2024
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
CVPR 2024
Intriguing Properties of Generative Classifiers
ICLR 2024
IntrinsicAvatar: Physically Based Inverse Rendering of Dynamic Humans from Monocular Videos via Explicit Ray Tracing
CVPR 2024
Intrinsic Self-Supervision for Data Quality Audits
NeurIPS 2024
Introducing GenCeption for Multimodal LLM Benchmarking: You May Bypass Annotations
NAACL 2024
Introspective Planning: Aligning Robots' Uncertainty with Inherent Task Ambiguity
NeurIPS 2024
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level
NeurIPS 2024
Intuitive or Dependent? Investigating LLMs’ Behavior Style to Conflicting Prompts
ACL 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks
AISTATS 2024
Invariant Causal Prediction with Local Models
UAI 2024
Invariant Random Forest: Tree-Based Model Solution for OOD Generalization
AAAI 2024
Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning
NeurIPS 2024
Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data
EMNLP 2024
Inversion-based Latent Bayesian Optimization
NeurIPS 2024
Inversion-Free Image Editing with Language-Guided Diffusion Models
CVPR 2024
Invertible Consistency Distillation for Text-Guided Image Editing in Around 7 Steps
NeurIPS 2024
Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
CVPR 2024