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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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477
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2000
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Papers (including subtopics)

Dual-Arm Adversarial Robot Learning CoRL 2021 Dual Contradistinctive Generative Autoencoder CVPR 2021 Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement CVPR 2021 DualGraph: A Graph-Based Method for Reasoning About Label Noise CVPR 2021 Dual-Mandate Patrols: Multi-Armed Bandits for Green Security AAAI 2021 DualNet: Continual Learning, Fast and Slow NeurIPS 2021 Dual Path Learning for Domain Adaptation of Semantic Segmentation ICCV 2021 Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach ICML 2021 DualSR: Zero-Shot Dual Learning for Real-World Super-Resolution WACV 2021 Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning CVPR 2021 Dueling Bandits with Team Comparisons NeurIPS 2021 Dueling Convex Optimization ICML 2021 DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications ACL 2021 DUTNLP Machine Translation System for WMT21 Triangular Translation Task EMNLP 2021 DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages EMNLP 2021 DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling EMNLP 2021 Dynabench: Rethinking Benchmarking in NLP NAACL 2021 Dynamically Disentangling Social Bias from Task-Oriented Representations with Adversarial Attack NAACL 2021 Dynamic Balancing for Model Selection in Bandits and RL ICML 2021 Dynamic Bottleneck for Robust Self-Supervised Exploration NeurIPS 2021 Dynamic Class Queue for Large Scale Face Recognition in the Wild CVPR 2021 Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation ICCV 2021 Dynamic Facet Selection by Maximizing Graded Relevance ACL 2021 Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers AAAI 2021 Dynamic Knowledge Distillation for Pre-trained Language Models EMNLP 2021