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Learning Types

56,253 papers (3 classified directly here)

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)
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Papers (including subtopics)

Inference Stage Optimization for Cross-scenario 3D Human Pose Estimation NeurIPS 2020 Inferring about fraudulent collusion risk on Brazilian public works contracts in official texts using a Bi-LSTM approach EMNLP 2020 Inferring Continuous Treatment Doses from Historical Data via Model-Based Entropy-Regularized Reinforcement Learning ACML 2020 Inferring DQN structure for high-dimensional continuous control ICML 2020 Infinite ShapeOdds: Nonparametric Bayesian Models for Shape Representations AAAI 2020 Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition CVPR 2020 InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs ICML 2020 InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization ICLR 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip AAAI 2020 Information Directed Sampling for Linear Partial Monitoring COLT 2020 Information Elicitation Mechanisms for Statistical Estimation AAAI 2020 Information Seeking in the Spirit of Learning: A Dataset for Conversational Curiosity EMNLP 2020 Information Shaping for Enhanced Goal Recognition of Partially-Informed Agents AAAI 2020 Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback NeurIPS 2020 Information-Theoretic Local Minima Characterization and Regularization ICML 2020 Information Theoretic Model Predictive Q-Learning L4DC 2020 Information-theoretic Task Selection for Meta-Reinforcement Learning NeurIPS 2020 Injecting Numerical Reasoning Skills into Language Models ACL 2020 Input-Aware Dynamic Backdoor Attack NeurIPS 2020 Inquisitive Question Generation for High Level Text Comprehension EMNLP 2020 InstaNAS: Instance-Aware Neural Architecture Search AAAI 2020 Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection CVPR 2020 Instance Credibility Inference for Few-Shot Learning CVPR 2020 Instance-optimality in differential privacy via approximate inverse sensitivity mechanisms NeurIPS 2020 Instance Selection for GANs NeurIPS 2020