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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

EMT-NAS:Transferring Architectural Knowledge Between Tasks From Different Datasets CVPR 2023 Enabling First-Order Gradient-Based Learning for Equilibrium Computation in Markets ICML 2023 Enabling Knowledge Refinement upon New Concepts in Abductive Learning AAAI 2023 Enc-Dec RNN Acoustic Word Embeddings learned via Pairwise Prediction Interspeech 2023 Encoder and Decoder, Not One Less for Pre-trained Language Model Sponsored NMT ACL 2023 Encoder-decoder Multimodal Speaker Change Detection Interspeech 2023 Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency NeurIPS 2023 Encouraging Disentangled and Convex Representation With Controllable Interpolation Regularization WACV 2023 Endpoints Weight Fusion for Class Incremental Semantic Segmentation CVPR 2023 End-to-end Adversarial Sample Generation for Data Augmentation EMNLP 2023 End-to-End Deep Reinforcement Learning for Conversation Disentanglement AAAI 2023 End-to-end Differentiable Clustering with Associative Memories ICML 2023 End-to-End Learning for Optimization via Constraint-Enforcing Approximators AAAI 2023 End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023 End-to-End Zero-Shot Voice Conversion with Location-Variable Convolutions Interspeech 2023 Energy-based learning algorithms for analog computing: a comparative study NeurIPS 2023 Energy-based Models are Zero-Shot Planners for Compositional Scene Rearrangement RSS 2023 Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach NeurIPS 2023 Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023 Energy-Inspired Self-Supervised Pretraining for Vision Models ICLR 2023 Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs AAAI 2023 Enhanced Meta Label Correction for Coping with Label Corruption ICCV 2023 Enhanced Multi-Relationships Integration Graph Convolutional Network for Inferring Substitutable and Complementary Items AAAI 2023 Enhanced Soft Label for Semi-Supervised Semantic Segmentation ICCV 2023 Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023