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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)

Profitable Bandits ACML 2018 Programmatically Interpretable Reinforcement Learning ICML 2018 Progress & Compress: A scalable framework for continual learning ICML 2018 Progressive Generative Hashing for Image Retrieval IJCAI 2018 Projection-Free Online Optimization with Stochastic Gradient: From Convexity to Submodularity ICML 2018 Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task EMNLP 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 Provable Estimation of the Number of Blocks in Block Models AISTATS 2018 Provable Variable Selection for Streaming Features ICML 2018 Pseudo Mask Augmented Object Detection CVPR 2018 Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back ICML 2018 Punny Captions: Witty Wordplay in Image Descriptions NAACL 2018 Pycobra: A Python Toolbox for Ensemble Learning and Visualisation JMLR 2018 Pyconstruct: Constraint Programming Meets Structured Prediction IJCAI 2018 Q-learning with Nearest Neighbors NeurIPS 2018 Quadratic Decomposable Submodular Function Minimization NeurIPS 2018 Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning IJCAI 2018 QuantTree: Histograms for Change Detection in Multivariate Data Streams ICML 2018 Query Complexity of Bayesian Private Learning NeurIPS 2018 Rademacher Complexity Bounds for a Penalized Multi-class Semi-supervised Algorithm (Extended Abstract) IJCAI 2018 Ranking-Based Automatic Seed Selection and Noise Reduction for Weakly Supervised Relation Extraction ACL 2018 Ranking Sentences for Extractive Summarization with Reinforcement Learning NAACL 2018 Rapid Adaptation of Neural Machine Translation to New Languages EMNLP 2018 Rapid Adaptation with Conditionally Shifted Neurons ICML 2018 RDEC: Integrating Regularization into Deep Embedded Clustering for Imbalanced Datasets ACML 2018