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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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Papers (including subtopics)

Meta-Learning for Relative Density-Ratio Estimation NeurIPS 2021 Meta Learning for Support Recovery in High-dimensional Precision Matrix Estimation ICML 2021 Meta-Learning Framework with Applications to Zero-Shot Time-Series Forecasting AAAI 2021 Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness ICCV 2021 Meta-Learning the Search Distribution of Black-Box Random Search Based Adversarial Attacks NeurIPS 2021 Meta-learning to Improve Pre-training NeurIPS 2021 Meta-learning with an Adaptive Task Scheduler NeurIPS 2021 Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning ICCV 2021 Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation ACL 2021 Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification EMNLP 2021 Meta-Model-Based Meta-Policy Optimization ACML 2021 Meta Pseudo Labels CVPR 2021 MetaSets: Meta-Learning on Point Sets for Generalizable Representations CVPR 2021 Metha: Network Verifiers Need To Be Correct Too! NSDI 2021 Metrical Tagging in the Wild: Building and Annotating Poetry Corpora with Rhythmic Features EACL 2021 MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement Interspeech 2021 Metric Learning Based Feature Representation with Gated Fusion Model for Speech Emotion Recognition Interspeech 2021 MetricOpt: Learning To Optimize Black-Box Evaluation Metrics CVPR 2021 Metrics and Continuity in Reinforcement Learning AAAI 2021 Metropolis-Hastings Data Augmentation for Graph Neural Networks NeurIPS 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection ICCV 2021 MFVFD: A Multi-Agent Q-Learning Approach to Cooperative and Non-Cooperative Tasks IJCAI 2021 MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction ICCV 2021 MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering ICLR 2021