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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)

Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation ICCV 2021 Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time CVPR 2021 Semi-Supervised Action Recognition With Temporal Contrastive Learning CVPR 2021 Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021 Semi-Supervised Active Learning With Temporal Output Discrepancy ICCV 2021 Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021 Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation CVPR 2021 Semi-Supervised Exaggeration Detection of Health Science Press Releases EMNLP 2021 Semi-supervised Intent Discovery with Contrastive Learning EMNLP 2021 Semi-supervised Interactive Intent Labeling NAACL 2021 Semi-Supervised Joint Estimation of Word and Document Readability NAACL 2021 Semi-supervised Keypoint Localization ICLR 2021 Semi-Supervised Knowledge Amalgamation for Sequence Classification AAAI 2021 Semi-Supervised Language Models for Identification of Personal Health Experiential from Twitter Data: A Case for Medication Effects NAACL 2021 Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus AAAI 2021 Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments With Support Samples ICCV 2021 Semi-Supervised Learning via Triplet Network Based Active Learning (Student Abstract) AAAI 2021 Semi-Supervised Learning with Meta-Gradient AISTATS 2021 Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization AAAI 2021 Semi-supervised Medical Image Segmentation through Dual-task Consistency AAAI 2021 Semi-supervised Meta-learning for Cross-domain Few-shot Intent Classification ACL 2021 Semi-Supervised Metric Learning: A Deep Resurrection AAAI 2021 Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks AAAI 2021 Semi-Supervised Policy Initialization for Playing Games with Language Hints NAACL 2021 Semi-supervised Relation Extraction via Incremental Meta Self-Training EMNLP 2021