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)
Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference
NeurIPS 2024
Infer from What You Have Seen Before: Temporally-dependent Classifier for Semi-supervised Video Segmentation
CVPR 2024
Inferring Iterated Function Systems Approximately from Fractal Images
IJCAI 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks
COLING 2024
InfLoRA: Interference-Free Low-Rank Adaptation for Continual Learning
CVPR 2024
Influential Exemplar Replay for Incremental Learning in Recommender Systems
AAAI 2024
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
ICLR 2024
InfoMatch: Entropy Neural Estimation for Semi-Supervised Image Classification
IJCAI 2024
Information Capacity Regret Bounds for Bandits with Mediator Feedback
JMLR 2024
Information Flow in Self-Supervised Learning
ICML 2024
Information-theoretic Generalization Analysis for Expected Calibration Error
NeurIPS 2024
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications
JMLR 2024
Informative Path Planning with Limited Adaptivity
AISTATS 2024
InfoRM: Mitigating Reward Hacking in RLHF via Information-Theoretic Reward Modeling
NeurIPS 2024
InfraParis: A Multi-Modal and Multi-Task Autonomous Driving Dataset
WACV 2024
Infrared Adversarial Car Stickers
CVPR 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models
NeurIPS 2024
Infusing Synthetic Data with Real-World Patterns for Zero-Shot Material State Segmentation
NeurIPS 2024
Initialization Matters for Adversarial Transfer Learning
CVPR 2024
Initializing Services in Interactive ML Systems for Diverse Users
NeurIPS 2024
Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation
NeurIPS 2024
Injecting Undetectable Backdoors in Obfuscated Neural Networks and Language Models
NeurIPS 2024
Injecting Wiktionary to improve token-level contextual representations using contrastive learning
EACL 2024
Inlier Confidence Calibration for Point Cloud Registration
CVPR 2024
In Pursuit of Causal Label Correlations for Multi-label Image Recognition
NeurIPS 2024