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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)

Syntax-aware Multi-task Graph Convolutional Networks for Biomedical Relation Extraction EMNLP 2019 Synthesizing 3D Shapes From Silhouette Image Collections Using Multi-Projection Generative Adversarial Networks CVPR 2019 Synthesizing Datalog Programs using Numerical Relaxation IJCAI 2019 Synthetic Datasets for Neural Program Synthesis ICLR 2019 TableSense: Spreadsheet Table Detection with Convolutional Neural Networks AAAI 2019 Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion EMNLP 2019 Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation CVPR 2019 TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning CVPR 2019 Tag2Pix: Line Art Colorization Using Text Tag With SECat and Changing Loss ICCV 2019 Talk2Car: Taking Control of Your Self-Driving Car EMNLP 2019 Talking Face Generation by Adversarially Disentangled Audio-Visual Representation AAAI 2019 Talking Face Generation by Conditional Recurrent Adversarial Network IJCAI 2019 Tangent-Normal Adversarial Regularization for Semi-Supervised Learning CVPR 2019 TAPAS: Train-Less Accuracy Predictor for Architecture Search AAAI 2019 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ACL 2019 Targeted Mismatch Adversarial Attack: Query With a Flower to Retrieve the Tower ICCV 2019 Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing EMNLP 2019 TarMAC: Targeted Multi-Agent Communication ICML 2019 Task-Agnostic Dynamics Priors for Deep Reinforcement Learning ICML 2019 Task Agnostic Meta-Learning for Few-Shot Learning CVPR 2019 Task-Conditioned Variational Autoencoders for Learning Movement Primitives CoRL 2019 Task-Driven Common Representation Learning via Bridge Neural Network AAAI 2019 Task-Driven Modular Networks for Zero-Shot Compositional Learning ICCV 2019 Task-Free Continual Learning CVPR 2019 Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation ACL 2019