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Learning Types

56,254 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 (1,984) 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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220
477
4,652
9,258
2000
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Papers (including subtopics)

Generative Adversarial Training with Perturbed Token Detection for Model Robustness EMNLP 2023 Generative Alignment of Posterior Probabilities for Source-Free Domain Adaptation WACV 2023 Generative Augmented Flow Networks ICLR 2023 Generative Bias for Robust Visual Question Answering CVPR 2023 Generative Calibration for In-context Learning EMNLP 2023 Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting ICML 2023 Generative Colorization of Structured Mobile Web Pages WACV 2023 Generative Emotion Cause Triplet Extraction in Conversations with Commonsense Knowledge EMNLP 2023 Generative Flow Networks for Precise Reward-Oriented Active Learning on Graphs IJCAI 2023 Generative Image Inpainting with Segmentation Confusion Adversarial Training and Contrastive Learning AAAI 2023 Generative Modeling Helps Weak Supervision (and Vice Versa) ICLR 2023 Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NeurIPS 2023 Generative Neural Fields by Mixtures of Neural Implicit Functions NeurIPS 2023 Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023 Generative Prompt Model for Weakly Supervised Object Localization ICCV 2023 Generative Replay Inspired by Hippocampal Memory Indexing for Continual Language Learning EACL 2023 Generative Semi-supervised Learning with Meta-Optimized Synthetic Samples ACML 2023 Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting ACL 2023 Generator Born from Classifier NeurIPS 2023 Generic and Dynamic Graph Representation Learning for Crowd Flow Modeling AAAI 2023 Generic-to-Specific Distillation of Masked Autoencoders CVPR 2023 Generic Unsupervised Optimization for a Latent Variable Model With Exponential Family Observables JMLR 2023 Genetic Prompt Search via Exploiting Language Model Probabilities IJCAI 2023 GenKIE: Robust Generative Multimodal Document Key Information Extraction EMNLP 2023 GENNAPE: Towards Generalized Neural Architecture Performance Estimators AAAI 2023