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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)

CLDA: Contrastive Learning for Semi-Supervised Domain Adaptation NeurIPS 2021 CLEVE: Contrastive Pre-training for Event Extraction ACL 2021 CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization EMNLP 2021 CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding ACL 2021 Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning AAAI 2021 CLIP: A Dataset for Extracting Action Items for Physicians from Hospital Discharge Notes ACL 2021 CL-MoNoise: Cross-lingual Lexical Normalization EMNLP 2021 CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients ICML 2021 Closing the BIG-LID: An Effective Local Intrinsic Dimensionality Defense for Nonlinear Regression Poisoning IJCAI 2021 Clothing Status Awareness for Long-Term Person Re-Identification ICCV 2021 Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition CVPR 2021 Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels ICML 2021 Cluster Analysis of Online Mental Health Discourse using Topic-Infused Deep Contextualized Representations EACL 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 Clustering by Maximizing Mutual Information Across Views ICCV 2021 Clustering Effect of Adversarial Robust Models NeurIPS 2021 Clustering-friendly Representation Learning via Instance Discrimination and Feature Decorrelation ICLR 2021 Clustering-Induced Adaptive Structure Enhancing Network for Incomplete Multi-View Data IJCAI 2021 Clustering Monolingual Vocabularies to Improve Cross-Lingual Generalization EMNLP 2021 Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification MIDL 2021 CLUZH at SIGMORPHON 2021 Shared Task on Multilingual Grapheme-to-Phoneme Conversion: Variations on a Baseline ACL 2021 CMAX++ : Leveraging Experience in Planning and Execution using Inaccurate Models AAAI 2021 CMTA: COVID-19 Misinformation Multilingual Analysis on Twitter ACL 2021 CNN-Based Processing of Acoustic and Radio Frequency Signals for Speaker Localization from MAVs Interspeech 2021 CO2: Consistent Contrast for Unsupervised Visual Representation Learning ICLR 2021