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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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220
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4,652
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2000
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Papers (including subtopics)

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics NeurIPS 2020 Robust Self-Weighted Multi-View Projection Clustering AAAI 2020 Robust Subspace Recovery Layer for Unsupervised Anomaly Detection ICLR 2020 Robust Superpixel-Guided Attentional Adversarial Attack CVPR 2020 Robust Unsupervised Neural Machine Translation with Adversarial Denoising Training COLING 2020 RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text EMNLP 2020 ROLL: Visual Self-Supervised Reinforcement Learning with Object Reasoning CoRL 2020 Root-n-Regret for Learning in Markov Decision Processes with Function Approximation and Low Bellman Rank COLT 2020 ROSS: Robust Learning of One-shot 3D Shape Segmentation WACV 2020 RPM-Net: Robust Pixel-Level Matching Networks for Self-Supervised Video Object Segmentation WACV 2020 RTM Ensemble Learning Results at Quality Estimation Task EMNLP 2020 Ruler: Data Programming by Demonstration for Document Labeling EMNLP 2020 Rumor Detection on Social Media with Graph Structured Adversarial Learning IJCAI 2020 Rumor Detection on Twitter Using Multiloss Hierarchical BiLSTM with an Attenuation Factor AACL 2020 Run2Survive: A Decision-theoretic Approach to Algorithm Selection based on Survival Analysis ACML 2020 R-VGAE: Relational-variational Graph Autoencoder for Unsupervised Prerequisite Chain Learning COLING 2020 S2IGAN: Speech-to-Image Generation via Adversarial Learning Interspeech 2020 S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency CoRL 2020 S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation CVPR 2020 SaccadeNet: A Fast and Accurate Object Detector CVPR 2020 SacreROUGE: An Open-Source Library for Using and Developing Summarization Evaluation Metrics EMNLP 2020 SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications AAAI 2020 Safe Deep Semi-Supervised Learning for Unseen-Class Unlabeled Data ICML 2020 Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences ICML 2020 Safe Linear Stochastic Bandits AAAI 2020