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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Dialogue State Induction Using Neural Latent Variable Models IJCAI 2020 Dialogue State Tracking with Explicit Slot Connection Modeling ACL 2020 Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data NeurIPS 2020 Diameter-based Interactive Structure Discovery AISTATS 2020 DIANet: Dense-and-Implicit Attention Network AAAI 2020 DiaSense at SemEval-2020 Task 1: Modeling Sense Change via Pre-trained BERT Embeddings SemEval 2020 Dice Loss for Data-imbalanced NLP Tasks ACL 2020 Difference-Seeking Generative Adversarial Network--Unseen Sample Generation ICLR 2020 Differentiable Algorithm for Marginalising Changepoints AAAI 2020 Differentiable Causal Backdoor Discovery AISTATS 2020 Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization NeurIPS 2020 Differentiable Feature Selection by Discrete Relaxation AISTATS 2020 Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation AAAI 2020 Differentiable TAN Structure Learning for Bayesian Network Classifiers PGM 2020 Differentially Private Learning with Small Public Data AAAI 2020 Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation CVPR 2020 DIPNet: Dynamic Identity Propagation Network for Video Object Segmentation WACV 2020 Disagreement-Regularized Imitation Learning ICLR 2020 Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading EMNLP 2020 Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation NeurIPS 2020 Discovering Human Interactions With Novel Objects via Zero-Shot Learning CVPR 2020 Discovering Latent Class Labels for Multi-Label Learning IJCAI 2020 Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement AAAI 2020 Discovering Subsequence Patterns for Next POI Recommendation IJCAI 2020 Discovery Team at SemEval-2020 Task 1: Context-sensitive Embeddings Not Always Better than Static for Semantic Change Detection SemEval 2020