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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)

Adversarial Training and Robustness for Multiple Perturbations NeurIPS 2019 Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching AAAI 2019 Adversarial training for free! NeurIPS 2019 Adversarial Training for Satire Detection: Controlling for Confounding Variables NAACL 2019 Adversarial Training for Weakly Supervised Event Detection NAACL 2019 Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019 Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019 AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos ICCV 2019 Advocacy Learning: Learning through Competition and Class-Conditional Representations IJCAI 2019 advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns ICCV 2019 AE2-Nets: Autoencoder in Autoencoder Networks CVPR 2019 AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations Rather Than Data CVPR 2019 A Family of Robust Stochastic Operators for Reinforcement Learning NeurIPS 2019 AffinityNet: Semi-Supervised Few-Shot Learning for Disease Type Prediction AAAI 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 A Flexible Generative Framework for Graph-based Semi-supervised Learning NeurIPS 2019 A Fourier Perspective on Model Robustness in Computer Vision NeurIPS 2019 A framework for streamlined statistical prediction using topic models NAACL 2019 A Game Theoretic Approach to Class-wise Selective Rationalization NeurIPS 2019 A General Framework for Symmetric Property Estimation NeurIPS 2019 A Generalized Idiom Usage Recognition Model Based on Semantic Compatibility AAAI 2019 A Generative Adversarial Density Estimator CVPR 2019 A Generative Model for Dynamic Networks with Applications AAAI 2019 A Generic Approach to Accelerating Belief Propagation Based Incomplete Algorithms for DCOPs via a Branch-and-Bound Technique AAAI 2019 A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019