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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)

A Novel Self-Supervised Re-labeling Approach for Training with Noisy Labels WACV 2020 A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study IJCAI 2020 Answer Generation through Unified Memories over Multiple Passages IJCAI 2020 An Unbiased Risk Estimator for Learning with Augmented Classes NeurIPS 2020 An Unsupervised Information-Theoretic Perceptual Quality Metric NeurIPS 2020 An Unsupervised Method for Learning Representations of Multi-word Expressions for Semantic Classification COLING 2020 An Unsupervised Method to Select a Speaker Subset from Large Multi-Speaker Speech Synthesis Datasets Interspeech 2020 An Unsupervised Sentence Embedding Method by Mutual Information Maximization EMNLP 2020 A One-step Approach to Covariate Shift Adaptation ACML 2020 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation AACL 2020 APE: Argument Pair Extraction from Peer Review and Rebuttal via Multi-task Learning EMNLP 2020 A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese EMNLP 2020 A polynomial-time algorithm for learning nonparametric causal graphs NeurIPS 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020 ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them SemEval 2020 Applications of Common Entropy for Causal Inference NeurIPS 2020 Approximate Cross-Validation for Structured Models NeurIPS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NeurIPS 2020 Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions AISTATS 2020 A Practical Algorithm for Multiplayer Bandits when Arm Means Vary Among Players AISTATS 2020 A Preliminary Exploration of GANs for Keyphrase Generation EMNLP 2020 A principled approach for generating adversarial images under non-smooth dissimilarity metrics AISTATS 2020 A Probabilistic End-To-End Task-Oriented Dialog Model with Latent Belief States towards Semi-Supervised Learning EMNLP 2020 A Probabilistic Formulation of Unsupervised Text Style Transfer ICLR 2020