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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
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4,652
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2000
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Papers (including subtopics)

Effective Clustering of scRNA-seq Data to Identify Biomarkers without User Input AAAI 2021 Effective Convolutional Attention Network for Multi-label Clinical Document Classification EMNLP 2021 Effective Distant Supervision for Temporal Relation Extraction EACL 2021 Effective Fine-Tuning Methods for Cross-lingual Adaptation EMNLP 2021 Effectively Leveraging Attributes for Visual Similarity ICCV 2021 Effectiveness of Pre-training for Few-shot Intent Classification EMNLP 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning AAAI 2021 Efficient Active Learning for Gaussian Process Classification by Error Reduction NeurIPS 2021 Efficient Algorithms for Learning from Coarse Labels COLT 2021 Efficient and Local Parallel Random Walks NeurIPS 2021 Efficient and Stable Adversarial Learning Using Unpaired Data for Unsupervised Multichannel Speech Separation Interspeech 2021 Efficient Bandit Convex Optimization: Beyond Linear Losses COLT 2021 Efficient Conformal Prediction via Cascaded Inference with Expanded Admission ICLR 2021 Efficient Continual Learning with Modular Networks and Task-Driven Priors ICLR 2021 Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning EMNLP 2021 Efficient Domain Adaptation of Language Models via Adaptive Tokenization EMNLP 2021 Efficient Explanations from Empirical Explainers EMNLP 2021 Efficient Feature Transformations for Discriminative and Generative Continual Learning CVPR 2021 Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination NeurIPS 2021 Efficient Learning with Arbitrary Covariate Shift ALT 2021 Efficiently Identifying Task Groupings for Multi-Task Learning NeurIPS 2021 Efficient Methods for Structured Nonconvex-Nonconcave Min-Max Optimization AISTATS 2021 Efficient Multi-Task Auxiliary Learning: Selecting Auxiliary Data by Feature Similarity EMNLP 2021 Efficient Neural Network Training via Forward and Backward Propagation Sparsification NeurIPS 2021 Efficient Online Estimation of Causal Effects by Deciding What to Observe NeurIPS 2021