Skip to content
conftrace_

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
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

High Performance Outdoor Navigation from Overhead Data using Imitation Learning RSS 2008 Hit Miss Networks with Applications to Instance Selection JMLR 2008 Human Active Learning NeurIPS 2008 ICA based on a Smooth Estimation of the Differential Entropy NeurIPS 2008 Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming JMLR 2008 Influence of graph construction on graph-based clustering measures NeurIPS 2008 Integrating Locally Learned Causal Structures with Overlapping Variables NeurIPS 2008 Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control NeurIPS 2008 Learning Hybrid Models for Image Annotation with Partially Labeled Data NeurIPS 2008 Learning Similarity with Operator-valued Large-margin Classifiers JMLR 2008 Learning Taxonomies by Dependence Maximization NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text NeurIPS 2008 Learning to Manipulate Articulated Objects in Unstructured Environments Using a Grounded Relational Representation RSS 2008 Learning to Select Features using their Properties JMLR 2008 Learning to Use Working Memory in Partially Observable Environments through Dopaminergic Reinforcement NeurIPS 2008 Learning with Consistency between Inductive Functions and Kernels NeurIPS 2008 Linear Classification and Selective Sampling Under Low Noise Conditions NeurIPS 2008 Local Gaussian Process Regression for Real Time Online Model Learning NeurIPS 2008 Localized Sliced Inverse Regression NeurIPS 2008 Logistic Normal Priors for Unsupervised Probabilistic Grammar Induction NeurIPS 2008 Look Ma, No Hands: Analyzing the Monotonic Feature Abstraction for Text Classification NeurIPS 2008 Max-margin Classification of Data with Absent Features JMLR 2008 MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features NeurIPS 2008 MDPs with Non-Deterministic Policies NeurIPS 2008 Measures of Clustering Quality: A Working Set of Axioms for Clustering NeurIPS 2008