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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)

Efficient Adversarial Attacks on Online Multi-agent Reinforcement Learning NeurIPS 2023 Efficient Adversarial Contrastive Learning via Robustness-Aware Coreset Selection NeurIPS 2023 Efficient and Accurate Learning of Mixtures of Plackett-Luce Models AAAI 2023 Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout AISTATS 2023 Efficient Continue Training of Temporal Language Model with Structural Information EMNLP 2023 Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition EMNLP 2023 Efficient Data Learning for Open Information Extraction with Pre-trained Language Models EMNLP 2023 Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond ICCV 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization ICLR 2023 Efficient Document Embeddings via Self-Contrastive Bregman Divergence Learning ACL 2023 Efficient Enumeration of Markov Equivalent DAGs AAAI 2023 Efficient Exploration in Continuous-time Model-based Reinforcement Learning NeurIPS 2023 Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits AAAI 2023 Efficient Failure Pattern Identification of Predictive Algorithms UAI 2023 Efficient Global Robustness Certification of Neural Networks via Interleaving Twin-Network Encoding (Extended Abstract) IJCAI 2023 Efficient Grammatical Error Correction Via Multi-Task Training and Optimized Training Schedule EMNLP 2023 Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks CVPR 2023 Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt EMNLP 2023 Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection AISTATS 2023 Efficiently learning the graph for semi-supervised learning UAI 2023 Efficiently Upgrading Multilingual Machine Translation Models to Support More Languages EACL 2023 Efficient Online Clustering with Moving Costs NeurIPS 2023 Efficient Online Decision Tree Learning with Active Feature Acquisition IJCAI 2023 Efficient Online Reinforcement Learning with Offline Data ICML 2023 Efficient Out-of-Domain Detection for Sequence to Sequence Models ACL 2023