Skip to content
conftrace_

Learning Types

56,253 papers (3 classified directly here)

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Optimal Decision Tree with Noisy Outcomes NeurIPS 2019 Optimal Dynamic Auctions Are Virtual Welfare Maximizers AAAI 2019 Optimal Exploitation of Clustering and History Information in Multi-armed Bandit IJCAI 2019 Optimal Interdiction of Urban Criminals with the Aid of Real-Time Information AAAI 2019 Optimal Minimal Margin Maximization with Boosting ICML 2019 Optimal Pricing in Repeated Posted-Price Auctions with Different Patience of the Seller and the Buyer NeurIPS 2019 Optimal Projection Guided Transfer Hashing for Image Retrieval AAAI 2019 Optimal Sampling and Clustering in the Stochastic Block Model NeurIPS 2019 Optimal Testing in the Experiment-rich Regime AISTATS 2019 Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions NeurIPS 2019 Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection NeurIPS 2019 Optimizing Interactive Systems with Data-Driven Objectives IJCAI 2019 Optimizing over a Restricted Policy Class in MDPs AISTATS 2019 Oracle-Efficient Algorithms for Online Linear Optimization with Bandit Feedback NeurIPS 2019 ORCA: A Matlab/Octave Toolbox for Ordinal Regression JMLR 2019 Orderly Subspace Clustering AAAI 2019 Orthogonal Estimation of Wasserstein Distances AISTATS 2019 Outlier Aware Network Embedding for Attributed Networks AAAI 2019 Outlier Detection for Time Series with Recurrent Autoencoder Ensembles IJCAI 2019 Outlier-robust estimation of a sparse linear model using ℓ_1-penalized Huber's M-estimator NeurIPS 2019 Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering NeurIPS 2019 Out-Of-Distribution Detection for Generalized Zero-Shot Action Recognition CVPR 2019 Out-of-Domain Detection for Low-Resource Text Classification Tasks EMNLP 2019 Overcoming Blind Spots in the Real World: Leveraging Complementary Abilities for Joint Execution AAAI 2019 Overcoming Catastrophic Forgetting During Domain Adaptation of Neural Machine Translation NAACL 2019