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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
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2000
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Papers (including subtopics)

Improving Zero-Shot Translation by Disentangling Positional Information ACL 2021 Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation UAI 2021 Incorporating medical knowledge in BERT for clinical relation extraction EMNLP 2021 Incorporating Unlabeled Data into Distributionally Robust Learning JMLR 2021 IncreACO: Incrementally Learned Automatic Check-Out With Photorealistic Exemplar Augmentation WACV 2021 Increasing Liquid State Machine Performance with Edge-of-Chaos Dynamics Organized by Astrocyte-modulated Plasticity NeurIPS 2021 Increasing Robustness to Spurious Correlations using Forgettable Examples EACL 2021 Incremental Embedding Learning via Zero-Shot Translation AAAI 2021 Incremental Few-Shot Instance Segmentation CVPR 2021 Incremental few-shot learning via vector quantization in deep embedded space ICLR 2021 Incremental Learning via Rate Reduction CVPR 2021 In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning ICLR 2021 Independence-aware Advantage Estimation IJCAI 2021 Independent mechanism analysis, a new concept? NeurIPS 2021 Independent Prototype Propagation for Zero-Shot Compositionality NeurIPS 2021 Individual Fairness in Hindsight JMLR 2021 IndoBERTweet: A Pretrained Language Model for Indonesian Twitter with Effective Domain-Specific Vocabulary Initialization EMNLP 2021 IndoNLI: A Natural Language Inference Dataset for Indonesian EMNLP 2021 Inducing Stereotypical Character Roles from Plot Structure EMNLP 2021 Industry Scale Semi-Supervised Learning for Natural Language Understanding NAACL 2021 Inference-Based Deterministic Messaging For Multi-Agent Communication AAAI 2021 Inferring Emotion from Large-scale Internet Voice Data: A Semi-supervised Curriculum Augmentation based Deep Learning Approach AAAI 2021 Inferring Time-delayed Causal Relations in POMDPs from the Principle of Independence of Cause and Mechanism IJCAI 2021 Infinite Gaussian Mixture Modeling with an Improved Estimation of the Number of Clusters AAAI 2021 Influence-Balanced Loss for Imbalanced Visual Classification ICCV 2021