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)

On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data ICLR 2019 On the Optimality of Perturbations in Stochastic and Adversarial Multi-armed Bandit Problems NeurIPS 2019 On the optimality of the Hedge algorithm in the stochastic regime JMLR 2019 On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA COLT 2019 On the Sensitivity of Adversarial Robustness to Input Data Distributions ICLR 2019 On the Spatial and Temporal Influence for the Reconstruction of Magnetic Resonance Fingerprinting MIDL 2019 On the Time Complexity of Algorithm Selection Hyper-Heuristics for Multimodal Optimisation AAAI 2019 On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset NeurIPS 2019 On the Usage of Phonetic Information for Text-Independent Speaker Embedding Extraction Interspeech 2019 On the Utility of Learning about Humans for Human-AI Coordination NeurIPS 2019 On the Value of Target Data in Transfer Learning NeurIPS 2019 Ontological attention ensembles for capturing semantic concepts in ICD code prediction from clinical text EMNLP 2019 On Understanding the Relation between Expert Annotations of Text Readability and Target Reader Comprehension ACL 2019 On Zero-Shot Recognition of Generic Objects CVPR 2019 OpenCeres: When Open Information Extraction Meets the Semi-Structured Web NAACL 2019 Open Domain Event Extraction Using Neural Latent Variable Models ACL 2019 Open-Domain Why-Question Answering with Adversarial Learning to Encode Answer Texts ACL 2019 Open-ended learning in symmetric zero-sum games ICML 2019 Open Event Extraction from Online Text using a Generative Adversarial Network EMNLP 2019 Open Problem: Is Margin Sufficient for Non-Interactive Private Distributed Learning? COLT 2019 Open Problem: Risk of Ruin in Multiarmed Bandits COLT 2019 Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data EMNLP 2019 Opportunistic Learning: Budgeted Cost-Sensitive Learning from Data Streams ICLR 2019 Optimal Best Markovian Arm Identification with Fixed Confidence NeurIPS 2019 Optimal Collusion-Free Teaching ALT 2019