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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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477
4,652
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2000
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Papers (including subtopics)

Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot Classification AISTATS 2023 Adaptive End-to-End Metric Learning for Zero-Shot Cross-Domain Slot Filling EMNLP 2023 Adaptive Graph Convolutional Subspace Clustering CVPR 2023 Adaptive Hinge Balance Loss for Document-Level Relation Extraction EMNLP 2023 Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions ICML 2023 Adaptive IMLE for Few-shot Pretraining-free Generative Modelling ICML 2023 Adaptive Linear Estimating Equations NeurIPS 2023 Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023 AdaptiveMix: Improving GAN Training via Feature Space Shrinkage CVPR 2023 Adaptive Plasticity Improvement for Continual Learning CVPR 2023 Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023 Adaptive Selective Sampling for Online Prediction with Experts NeurIPS 2023 Adaptive Similarity Bootstrapping for Self-Distillation Based Representation Learning ICCV 2023 Adaptive Sparse Pairwise Loss for Object Re-Identification CVPR 2023 Adaptive Superpixel for Active Learning in Semantic Segmentation ICCV 2023 Adaptive Textual Label Noise Learning based on Pre-trained Models EMNLP 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 Adaptive Zone-Aware Hierarchical Planner for Vision-Language Navigation CVPR 2023 AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking NeurIPS 2023 A Data-Based Perspective on Transfer Learning CVPR 2023 A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots CoRL 2023 A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks NeurIPS 2023 A Dataset and Baseline Approach for Identifying Usage States from Non-intrusive Power Sensing with MiDAS IoT-Based Sensors AAAI 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning AAAI 2023 Additive Causal Bandits with Unknown Graph ICML 2023