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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
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2000
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Papers (including subtopics)

Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing EMNLP 2020 Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020 CONAN: Complementary Pattern Augmentation for Rare Disease Detection AAAI 2020 Concise Explanations of Neural Networks using Adversarial Training ICML 2020 Conditional Causal Relationships between Emotions and Causes in Texts EMNLP 2020 Conditional Channel Gated Networks for Task-Aware Continual Learning CVPR 2020 Conditional Gaussian Distribution Learning for Open Set Recognition CVPR 2020 Conditional Generative Neural Decoding with Structured CNN Feature Prediction AAAI 2020 Conditional Importance Sampling for Off-Policy Learning AISTATS 2020 Conditional Neural Generation using Sub-Aspect Functions for Extractive News Summarization EMNLP 2020 Condolence and Empathy in Online Communities EMNLP 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks ICML 2020 Confidence Measure for Speech-to-Concept End-to-End Spoken Language Understanding Interspeech 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 Conservative Exploration in Reinforcement Learning AISTATS 2020 Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods JMLR 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020 Consistent Structural Relation Learning for Zero-Shot Segmentation NeurIPS 2020 Constrained Dynamic Programming and Supervised Penalty Learning Algorithms for Peak Detection in Genomic Data JMLR 2020 Constrained Markov Decision Processes via Backward Value Functions ICML 2020 Constrained Self-Supervised Clustering for Discovering New Intents (Student Abstract) AAAI 2020 Constrained Upper Confidence Reinforcement Learning L4DC 2020 Constructing a provably adversarially-robust classifier from a high accuracy one AISTATS 2020