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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)

Auditing Black-Box Prediction Models for Data Minimization Compliance NeurIPS 2021 AugMax: Adversarial Composition of Random Augmentations for Robust Training NeurIPS 2021 Augmentation Strategies for Learning With Noisy Labels CVPR 2021 Augmented Lagrangian Adversarial Attacks ICCV 2021 Augmented Partial Mutual Learning with Frame Masking for Video Captioning AAAI 2021 Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment ICML 2021 Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations EMNLP 2021 Augmenting Imbalanced Time-series Data via Adversarial Perturbation in Latent Space ACML 2021 Augmenting Slot Values and Contexts for Spoken Language Understanding with Pretrained Models Interspeech 2021 AugNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation ACL 2021 AuGPT: Auxiliary Tasks and Data Augmentation for End-To-End Dialogue with Pre-Trained Language Models EMNLP 2021 A Unified Approach to Discourse Relation Classification in nine Languages EMNLP 2021 A Unified Approach to Fair Online Learning via Blackwell Approachability NeurIPS 2021 A Unified Approach to Interpreting and Boosting Adversarial Transferability ICLR 2021 A unified framework for bandit multiple testing NeurIPS 2021 A Unified Framework for Planning with Learned Neural Network Transition Models AAAI 2021 A Unified Framework for Random Forest Prediction Error Estimation JMLR 2021 A Unified Generative Adversarial Network Training via Self-Labeling and Self-Attention ICML 2021 A Unified Multi-Scenario Attacking Network for Visual Object Tracking AAAI 2021 A Unified Multi-Task Learning Framework for Joint Extraction of Entities and Relations AAAI 2021 A Unified Objective for Novel Class Discovery ICCV 2021 A Unified Sample Selection Framework for Output Noise Filtering: An Error-Bound Perspective JMLR 2021 A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents NAACL 2021 A Unified View of cGANs with and without Classifiers NeurIPS 2021 A Universal 2-state n-action Adaptive Management Solver AAAI 2021