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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)

Does Knowing When Help Is Needed Improve Subgoal Hint Performance in an Intelligent Data-Driven Logic Tutor? AAAI 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Does Listener Gaze in Face-to-Face Interaction Follow the Entropy Rate Constancy Principle: An Empirical Study EMNLP 2023 Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL 2023 Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? EMNLP 2023 Does Topological Ordering of Morphological Segments Reduce Morphological Modeling Complexity? A Preliminary Study on 13 Languages EACL 2023 Does Visual Pretraining Help End-to-End Reasoning? NeurIPS 2023 Does Zero-Shot Reinforcement Learning Exist? ICLR 2023 Do Invariances in Deep Neural Networks Align with Human Perception? AAAI 2023 Do Large Language Models Know What They Don’t Know? ACL 2023 Do Machine Learning Models Learn Statistical Rules Inferred from Data? ICML 2023 Domain Adaptation for Conversational Query Production with the RAG Model Feedback EMNLP 2023 Domain Adaptation for Speech Enhancement in a Large Domain Gap Interspeech 2023 Domain adaptation using optimal transport for invariant learning using histopathology datasets MIDL 2023 Domain Adaptation Using Self-Training With Mixup for One-Stage Object Detection WACV 2023 Domain Adaptation using Silver Standard Labels for Ki-67 Scoring in Digital Pathology A Step Closer to Widescale Deployment MIDL 2023 Domain Adaptation with Adversarial Training on Penultimate Activations AAAI 2023 Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition AAAI 2023 Domain Adaptive Imitation Learning with Visual Observation NeurIPS 2023 Domain-Adaptive Self-Supervised Face & Body Detection in Drawings IJCAI 2023 Domain Adaptive Self-supervised Training of Automatic Speech Recognition Interspeech 2023 Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object Mixing WACV 2023 DomainAdaptor: A Novel Approach to Test-time Adaptation ICCV 2023 Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform ACL 2023 Domain Decorrelation with Potential Energy Ranking AAAI 2023