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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

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Papers (including subtopics)

Specific and Shared Causal Relation Modeling and Mechanism-Based Clustering NeurIPS 2019 Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification EMNLP 2019 Speech2Face: Learning the Face Behind a Voice CVPR 2019 Speech Replay Detection with x-Vector Attack Embeddings and Spectral Features Interspeech 2019 Spherical Text Embedding NeurIPS 2019 SPINE: Structural Identity Preserved Inductive Network Embedding IJCAI 2019 Split or Merge: Which is Better for Unsupervised RST Parsing? EMNLP 2019 Split Q Learning: Reinforcement Learning with Two-Stream Rewards IJCAI 2019 Spontaneous Conversational Speech Synthesis from Found Data Interspeech 2019 Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification CVPR 2019 SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction CVPR 2019 SSF-DAN: Separated Semantic Feature Based Domain Adaptation Network for Semantic Segmentation ICCV 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stacked Capsule Autoencoders NeurIPS 2019 StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion Interspeech 2019 State Abstraction as Compression in Apprenticeship Learning AAAI 2019 State Aggregation Learning from Markov Transition Data NeurIPS 2019 State-Augmentation Transformations for Risk-Sensitive Reinforcement Learning AAAI 2019 Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection NeurIPS 2019 Statistical Approach to Speech Synthesis: Past, Present and Future Interspeech 2019 sthruggle at SemEval-2019 Task 5: An Ensemble Approach to Hate Speech Detection SemEval 2019 Stochastic Bandits with Context Distributions NeurIPS 2019 Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels ICCV 2019 Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate AISTATS 2019 Stochastic Gradient Trees ACML 2019