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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)

MIPaaL: Mixed Integer Program as a Layer AAAI 2020 Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning CVPR 2020 Mitigating Forgetting in Online Continual Learning via Instance-Aware Parameterization NeurIPS 2020 Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning EMNLP 2020 Mitigating Overfitting in Supervised Classification from Two Unlabeled Datasets: A Consistent Risk Correction Approach AISTATS 2020 Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions NeurIPS 2020 MixedAD: A Scalable Algorithm for Detecting Mixed Anomalies in Attributed Graphs AAAI 2020 Mix-n-Match : Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning ICML 2020 MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification ACL 2020 Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks ICLR 2020 ML-LOO: Detecting Adversarial Examples with Feature Attribution AAAI 2020 MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing IJCAI 2020 MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling WACV 2020 MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles NeurIPS 2020 MMA Training: Direct Input Space Margin Maximization through Adversarial Training ICLR 2020 MMM: Multi-Stage Multi-Task Learning for Multi-Choice Reading Comprehension AAAI 2020 MMPE: A Multi-Modal Interface using Handwriting, Touch Reordering, and Speech Commands for Post-Editing Machine Translation ACL 2020 MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices CVPR 2020 Mnemonics Training: Multi-Class Incremental Learning Without Forgetting CVPR 2020 Modality to Modality Translation: An Adversarial Representation Learning and Graph Fusion Network for Multimodal Fusion AAAI 2020 Modality-Transferable Emotion Embeddings for Low-Resource Multimodal Emotion Recognition AACL 2020 Model Adaptation: Unsupervised Domain Adaptation Without Source Data CVPR 2020 Model-Agnostic Metric for Zero-Shot Learning WACV 2020 Model and Reinforcement Learning for Markov Games with Risk Preferences AAAI 2020 Model-based Adversarial Meta-Reinforcement Learning NeurIPS 2020