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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)

Influence Selection for Active Learning ICCV 2021 Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates EMNLP 2021 Influencing Towards Stable Multi-Agent Interactions CoRL 2021 InfoGCL: Information-Aware Graph Contrastive Learning NeurIPS 2021 InfoMax-GAN: Improved Adversarial Image Generation via Information Maximization and Contrastive Learning WACV 2021 Information Block Detection in Infographic Based on Spatial Proximity and Structural Similarity (Student Abstract) AAAI 2021 Information Directed Sampling for Sparse Linear Bandits NeurIPS 2021 Information Obfuscation of Graph Neural Networks ICML 2021 Information Retrieval for ZeroSpeech 2021: The Submission by University of Wroclaw Interspeech 2021 Information-Theoretic Regularization for Multi-Source Domain Adaptation ICCV 2021 Information-Theoretic Segmentation by Inpainting Error Maximization CVPR 2021 Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection CVPR 2021 Informative and Controllable Opinion Summarization EACL 2021 Informed Sampling for Diversity in Concept-to-Text NLG EMNLP 2021 InfoXLM: An Information-Theoretic Framework for Cross-Lingual Language Model Pre-Training NAACL 2021 Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation AAAI 2021 Initiative Defense against Facial Manipulation AAAI 2021 In-N-Out: Pre-Training and Self-Training using Auxiliary Information for Out-of-Distribution Robustness ICLR 2021 Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese ACL 2021 Instance-adaptive training with noise-robust losses against noisy labels EMNLP 2021 Instance-dependent Label-noise Learning under a Structural Causal Model NeurIPS 2021 Instance-Dependent Partial Label Learning NeurIPS 2021 Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation CVPR 2021 Instance Localization for Self-Supervised Detection Pretraining CVPR 2021 Instance Mining with Class Feature Banks for Weakly Supervised Object Detection AAAI 2021