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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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2000
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Papers (including subtopics)

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink CVPR 2021 Adversarial Learning for Discourse Rhetorical Structure Parsing ACL 2021 Adversarial Learning for Zero-Shot Stance Detection on Social Media NAACL 2021 Adversarial Learning of Poisson Factorisation Model for Gauging Brand Sentiment in User Reviews EACL 2021 Adversarial Linear Contextual Bandits with Graph-Structured Side Observations AAAI 2021 Adversarially Adaptive Normalization for Single Domain Generalization CVPR 2021 Adversarially Learning Disentangled Speech Representations for Robust Multi-Factor Voice Conversion Interspeech 2021 Adversarially Robust 3D Point Cloud Recognition Using Self-Supervisions NeurIPS 2021 Adversarially Robust Change Point Detection NeurIPS 2021 Adversarially Robust Estimate and Risk Analysis in Linear Regression AISTATS 2021 Adversarially Robust Imitation Learning CoRL 2021 Adversarially robust learning for security-constrained optimal power flow NeurIPS 2021 Adversarially Robust Learning with Unknown Perturbation Sets COLT 2021 Adversarially Robust Low Dimensional Representations COLT 2021 Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup EMNLP 2021 Adversarial Monte Carlo Meta-Learning of Optimal Prediction Procedures JMLR 2021 Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees ICML 2021 Adversarial Neuron Pruning Purifies Backdoored Deep Models NeurIPS 2021 Adversarial Online Learning with Changing Action Sets: Efficient Algorithms with Approximate Regret Bounds ALT 2021 Adversarial Option-Aware Hierarchical Imitation Learning ICML 2021 Adversarial Partial Multi-Label Learning with Label Disambiguation AAAI 2021 Adversarial Policy Learning in Two-player Competitive Games ICML 2021 Adversarial Pose Regression Network for Pose-Invariant Face Recognitions AAAI 2021 Adversarial Purification with Score-based Generative Models ICML 2021 Adversarial Regression with Doubly Non-negative Weighting Matrices NeurIPS 2021