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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)

Event-Guided Person Re-Identification via Sparse-Dense Complementary Learning CVPR 2023 EventNeRF: Neural Radiance Fields From a Single Colour Event Camera CVPR 2023 EventPoint: Self-Supervised Interest Point Detection and Description for Event-Based Camera WACV 2023 Event Process Typing via Hierarchical Optimal Transport AAAI 2023 Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation ICLR 2023 Everyone’s Preference Changes Differently: A Weighted Multi-Interest Model For Retrieval ICML 2023 Evidential Conditional Neural Processes AAAI 2023 Evidential Interactive Learning for Medical Image Captioning ICML 2023 Evolutionary Neural Architecture Search for Multivariate Time Series Forecasting ACML 2023 Evolved Part Masking for Self-Supervised Learning CVPR 2023 EvolveMT: an Ensemble MT Engine Improving Itself with Usage Only ACL 2023 Evolving Populations of Diverse RL Agents with MAP-Elites ICLR 2023 Evolving Semantic Prototype Improves Generative Zero-Shot Learning ICML 2023 Evolving Standardization for Continual Domain Generalization over Temporal Drift NeurIPS 2023 Examining Inter-Consistency of Large Language Models Collaboration: An In-depth Analysis via Debate EMNLP 2023 Example-based Hypernetworks for Multi-source Adaptation to Unseen Domains EMNLP 2023 Exclusive Supermask Subnetwork Training for Continual Learning ACL 2023 Exemplar-Free Continual Transformer with Convolutions ICCV 2023 Exemplar-FreeSOLO: Enhancing Unsupervised Instance Segmentation With Exemplars CVPR 2023 Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction WACV 2023 EXIF As Language: Learning Cross-Modal Associations Between Images and Camera Metadata CVPR 2023 Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking EMNLP 2023 Expanding Scope: Adapting English Adversarial Attacks to Chinese ACL 2023 Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023 Expansive Latent Planning for Sparse Reward Offline Reinforcement Learning CoRL 2023