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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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2000
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Papers (including subtopics)

BABEL: Bodies, Action and Behavior With English Labels CVPR 2021 Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning EMNLP 2021 Backdoor Attack with Imperceptible Input and Latent Modification NeurIPS 2021 BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning IJCAI 2021 Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation CVPR 2021 Background Splitting: Finding Rare Classes in a Sea of Background CVPR 2021 Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy CVPR 2021 Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval EMNLP 2021 Back-translation for Large-Scale Multilingual Machine Translation EMNLP 2021 Backtranslation in Neural Morphological Inflection EMNLP 2021 BACO: A Background Knowledge- and Content-Based Framework for Citing Sentence Generation ACL 2021 Bag of Tricks for Adversarial Training ICLR 2021 Balanced Open Set Domain Adaptation via Centroid Alignment AAAI 2021 Balancing Constraints and Rewards with Meta-Gradient D4PG ICLR 2021 Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval NeurIPS 2021 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search AAAI 2021 Bandit Learning in Decentralized Matching Markets JMLR 2021 Bandit Learning with Delayed Impact of Actions NeurIPS 2021 Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021 BanditMTL: Bandit-based Multi-task Learning for Text Classification ACL 2021 Bandit Phase Retrieval NeurIPS 2021 Bandits Don’t Follow Rules: Balancing Multi-Facet Machine Translation with Multi-Armed Bandits EMNLP 2021 Bandits with Knapsacks beyond the Worst Case NeurIPS 2021 Bandits with many optimal arms NeurIPS 2021 Bandits with partially observable confounded data UAI 2021