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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)

Understanding Intrinsic Robustness Using Label Uncertainty ICLR 2022 Understanding Jargon: Combining Extraction and Generation for Definition Modeling EMNLP 2022 Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective ICLR 2022 Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals ACL 2022 Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach ICML 2022 Understanding Programmatic Weak Supervision via Source-aware Influence Function NeurIPS 2022 Understanding Robust Learning through the Lens of Representation Similarities NeurIPS 2022 Understanding Robust Overfitting of Adversarial Training and Beyond ICML 2022 Understanding Square Loss in Training Overparametrized Neural Network Classifiers NeurIPS 2022 Understanding the Evolution of Linear Regions in Deep Reinforcement Learning NeurIPS 2022 Understanding Uncertainty Maps in Vision With Statistical Testing CVPR 2022 UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NeurIPS 2022 UniCLIP: Unified Framework for Contrastive Language-Image Pre-training NeurIPS 2022 UniCon: Combating Label Noise Through Uniform Selection and Contrastive Learning CVPR 2022 Unified Contrastive Learning in Image-Text-Label Space CVPR 2022 Unified Optimal Transport Framework for Universal Domain Adaptation NeurIPS 2022 Unified Semantic Typing with Meaningful Label Inference NAACL 2022 UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models EMNLP 2022 Unified Speech-Text Pre-training for Speech Translation and Recognition ACL 2022 Unifying and Boosting Gradient-Based Training-Free Neural Architecture Search NeurIPS 2022 Unifying Importance Based Regularisation Methods for Continual Learning AISTATS 2022 Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias AAAI 2022 Unifying Model Explainability and Robustness for Joint Text Classification and Rationale Extraction AAAI 2022 Unifying Motion Deblurring and Frame Interpolation With Events CVPR 2022 UniGAN: Reducing Mode Collapse in GANs using a Uniform Generator NeurIPS 2022