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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)

Continual Learning with Scaled Gradient Projection AAAI 2023 Continually Improving Extractive QA via Human Feedback EMNLP 2023 Continual Named Entity Recognition without Catastrophic Forgetting EMNLP 2023 Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans ICCV 2023 Continual Semantic Segmentation With Automatic Memory Sample Selection CVPR 2023 Continual Task Allocation in Meta-Policy Network via Sparse Prompting ICML 2023 Continual Unsupervised Disentangling of Self-Organizing Representations ICLR 2023 Continual Variational Autoencoder via Continual Generative Knowledge Distillation AAAI 2023 Continual Vision-based Reinforcement Learning with Group Symmetries CoRL 2023 Continual Vision-Language Representation Learning with Off-Diagonal Information ICML 2023 Continual Zero-Shot Learning through Semantically Guided Generative Random Walks ICCV 2023 Continuously Masked Transformer for Image Inpainting ICCV 2023 Continuous pseudo-labeling from the start ICLR 2023 Continuous Sign Language Recognition With Correlation Network CVPR 2023 Continuous Trajectory Generation Based on Two-Stage GAN AAAI 2023 ContraBAR: Contrastive Bayes-Adaptive Deep RL ICML 2023 ContraCLM: Contrastive Learning For Causal Language Model ACL 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023 ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond ICLR 2023 CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction EMNLP 2023 Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series NeurIPS 2023 Contrastive Attention Networks for Attribution of Early Modern Print AAAI 2023 Contrastive Audio-Visual Masked Autoencoder ICLR 2023 Contrastive Bootstrapping for Label Refinement ACL 2023 Contrastive Classification and Representation Learning with Probabilistic Interpretation AAAI 2023