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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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Papers (including subtopics)

Sample-Specific Output Constraints for Neural Networks AAAI 2021 Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration ICCV 2021 Sampling with Trusthworthy Constraints: A Variational Gradient Framework NeurIPS 2021 Sarcasm and Sentiment Detection in Arabic language A Hybrid Approach Combining Embeddings and Rule-based Features EACL 2021 Scalable Approach for Normalizing E-commerce Text Attributes (SANTA) ACL 2021 Scalable Differential Privacy With Sparse Network Finetuning CVPR 2021 Scalable Diverse Model Selection for Accessible Transfer Learning NeurIPS 2021 Scalable Evaluation and Improvement of Document Set Expansion via Neural Positive-Unlabeled Learning EACL 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 Scalable Few-Shot Learning of Robust Biomedical Name Representations NAACL 2021 Scalable First-Order Methods for Robust MDPs AAAI 2021 Scalable Font Reconstruction with Dual Latent Manifolds EMNLP 2021 Scalable Normalizing Flows for Permutation Invariant Densities ICML 2021 Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation CVPR 2021 ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers NeurIPS 2021 Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup ACL 2021 Scaling Effect of Self-Supervised Speech Models Interspeech 2021 Scaling Multi-Agent Reinforcement Learning with Selective Parameter Sharing ICML 2021 Scaling Up Instance Annotation via Label Propagation ICCV 2021 Scaling-Up Robust Gradient Descent Techniques AAAI 2021 Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision ICML 2021 SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks CVPR 2021 Scene Graph Embeddings Using Relative Similarity Supervision AAAI 2021 Scene Text Retrieval via Joint Text Detection and Similarity Learning CVPR 2021 Scheduled Sampling in Vision-Language Pretraining with Decoupled Encoder-Decoder Network AAAI 2021