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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)
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Papers (including subtopics)

Sample Efficient Imitation Learning for Continuous Control ICLR 2019 Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019 Sampling Bias in Deep Active Classification: An Empirical Study EMNLP 2019 Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems EMNLP 2019 Sampling Techniques for Large-Scale Object Detection From Sparsely Annotated Objects CVPR 2019 SANTLR: Speech Annotation Toolkit for Low Resource Languages Interspeech 2019 SAO WMT19 Test Suite: Machine Translation of Audit Reports ACL 2019 SAX Breakpoints for Random Forest Based Real-Time Contrast Control Chart AAAI 2019 Scalable inference of topic evolution via models for latent geometric structures NeurIPS 2019 Scalable Methods for Annotating Legal-Decision Corpora NAACL 2019 Scalable Recollections for Continual Lifelong Learning AAAI 2019 Scalable, Semi-Supervised Extraction of Structured Information from Scientific Literature NAACL 2019 Scalable Semi-Supervised SVM via Triply Stochastic Gradients IJCAI 2019 Scalable Thompson Sampling via Optimal Transport AISTATS 2019 Scalable Verified Training for Provably Robust Image Classification ICCV 2019 Scaling and Benchmarking Self-Supervised Visual Representation Learning ICCV 2019 Scaling Multi-Domain Dialogue State Tracking via Query Reformulation NAACL 2019 Scaling Object Detection by Transferring Classification Weights ICCV 2019 Scaling up Open Tagging from Tens to Thousands: Comprehension Empowered Attribute Value Extraction from Product Title ACL 2019 Scene Graph Prediction With Limited Labels ICCV 2019 Scene-level Pose Estimation for Multiple Instances of Densely Packed Objects CoRL 2019 Scheduled Sampling for Transformers ACL 2019 SciBERT: A Pretrained Language Model for Scientific Text EMNLP 2019 scikit-multilearn: A Python library for Multi-Label Classification JMLR 2019 SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling NAACL 2019