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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)

Progressive One-shot Human Parsing AAAI 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Progressive Seed Generation Auto-Encoder for Unsupervised Point Cloud Learning ICCV 2021 Progressive Self-Training with Discriminator for Aspect Term Extraction EMNLP 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Progressive Unsupervised Learning for Visual Object Tracking CVPR 2021 Projected GANs Converge Faster NeurIPS 2021 Projection-free Decentralized Online Learning for Submodular Maximization over Time-Varying Networks JMLR 2021 Proof of Learning (PoLe): Empowering Machine Learning with Consensus Building on Blockchains (Demo) AAAI 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning CVPR 2021 Property-Aware Relation Networks for Few-Shot Molecular Property Prediction NeurIPS 2021 Proposal Learning for Semi-Supervised Object Detection WACV 2021 ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks CVPR 2021 ProsoBeast Prosody Annotation Tool Interspeech 2021 ProSPer: Probing Human and Neural Network Language Model Understanding of Spatial Perspective EMNLP 2021 Prototype Augmentation and Self-Supervision for Incremental Learning CVPR 2021 Prototype Completion With Primitive Knowledge for Few-Shot Learning CVPR 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021 Prototypical Contrastive Learning of Unsupervised Representations ICLR 2021 Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation CVPR 2021 Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation ICCV 2021 Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation CVPR 2021 Prototypical Representation Learning for Relation Extraction ICLR 2021 Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning NeurIPS 2021 Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks AAAI 2021