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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)

Deep Hashing With Minimal-Distance-Separated Hash Centers CVPR 2023 Deep Incomplete Multi-View Clustering With Cross-View Partial Sample and Prototype Alignment CVPR 2023 Deep Insights into Noisy Pseudo Labeling on Graph Data NeurIPS 2023 Deep Laplacian-based Options for Temporally-Extended Exploration ICML 2023 Deep Latent State Space Models for Time-Series Generation ICML 2023 Deep Learning From Crowdsourced Labels: Coupled Cross-Entropy Minimization, Identifiability, and Regularization ICLR 2023 Deeply Supervised Curriculum Learning for Deep Neural Network-based Sound Source Localization Interspeech 2023 Deep Manifold Attack on Point Clouds via Parameter Plane Stretching AAAI 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023 Deep Metric Learning for the Hemodynamics Inference with Electrocardiogram Signals MLHC 2023 Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval EMNLP 2023 Deep Multiview Clustering by Contrasting Cluster Assignments ICCV 2023 Deep Multi-view Subspace Clustering with Anchor Graph IJCAI 2023 Deep Natural Language Feature Learning for Interpretable Prediction EMNLP 2023 Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023 Deep Perturbation Learning: Enhancing the Network Performance via Image Perturbations ICML 2023 Deep Random Projector: Accelerated Deep Image Prior CVPR 2023 Deep Reinforcement Learning for Cost-Effective Medical Diagnosis ICLR 2023 Deep Representation Learning for Prediction of Temporal Event Sets in the Continuous Time Domain ACML 2023 Deep Semi-Supervised Metric Learning With Mixed Label Propagation CVPR 2023 Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions IJCAI 2023 Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery ICML 2023 Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training NeurIPS 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023