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)

Pointing Novel Objects in Image Captioning CVPR 2019 Policy Certificates: Towards Accountable Reinforcement Learning ICML 2019 Policy Consolidation for Continual Reinforcement Learning ICML 2019 Policy Continuation with Hindsight Inverse Dynamics NeurIPS 2019 Policy Evaluation with Latent Confounders via Optimal Balance NeurIPS 2019 Policy Learning for Fairness in Ranking NeurIPS 2019 Policy Optimization with Model-Based Explorations AAAI 2019 Policy Poisoning in Batch Reinforcement Learning and Control NeurIPS 2019 Polygon-Net: A General Framework for Jointly Boosting Multiple Unsupervised Neural Machine Translation Models IJCAI 2019 Polynomial Cost of Adaptation for X-Armed Bandits NeurIPS 2019 Popularity Prediction on Online Articles with Deep Fusion of Temporal Process and Content Features AAAI 2019 Posing Fair Generalization Tasks for Natural Language Inference EMNLP 2019 Positive and Unlabeled Learning with Label Disambiguation IJCAI 2019 POS Tagging for Improving Code-Switching Identification in Arabic ACL 2019 Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019 Practical Deep Learning with Bayesian Principles NeurIPS 2019 Practical, Efficient, and Customizable Active Learning for Named Entity Recognition in the Digital Humanities NAACL 2019 Practical Full Resolution Learned Lossless Image Compression CVPR 2019 Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning UAI 2019 Practical Obstacles to Deploying Active Learning EMNLP 2019 Practical Semantic Parsing for Spoken Language Understanding NAACL 2019 Predicting Annotation Difficulty to Improve Task Routing and Model Performance for Biomedical Information Extraction NAACL 2019 Predicting Discourse Structure using Distant Supervision from Sentiment EMNLP 2019 Predicting Group-Level Skin Attention to Short Movies from Audio-Based LSTM-Mixture of Experts Models Interspeech 2019 Predicting Historical Phonetic Features using Deep Neural Networks: A Case Study of the Phonetic System of Proto-Indo-European ACL 2019