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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)

Mirror Descent and the Information Ratio COLT 2021 MirrorWiC: On Eliciting Word-in-Context Representations from Pretrained Language Models CoNLL 2021 (Mis)alignment Between Stance Expressed in Social Media Data and Public Opinion Surveys EMNLP 2021 Missing Modality Imagination Network for Emotion Recognition with Uncertain Missing Modalities ACL 2021 MiSS@WMT21: Contrastive Learning-reinforced Domain Adaptation in Neural Machine Translation EMNLP 2021 MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection CVPR 2021 MIST: Multiple Instance Spatial Transformer CVPR 2021 Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach ACL 2021 Mitigating Covariate Shift in Imitation Learning via Offline Data With Partial Coverage NeurIPS 2021 Mitigating Face Recognition Bias via Group Adaptive Classifier CVPR 2021 Mitigating Forgetting in Online Continual Learning with Neuron Calibration NeurIPS 2021 Mitigating Political Bias in Language Models through Reinforced Calibration AAAI 2021 Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp NAACL 2021 Mixability made efficient: Fast online multiclass logistic regression NeurIPS 2021 MixACM: Mixup-Based Robustness Transfer via Distillation of Activated Channel Maps NeurIPS 2021 Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021 Mixed-Privacy Forgetting in Deep Networks CVPR 2021 Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity NeurIPS 2021 Mixing Time of Metropolis-Hastings for Bayesian Community Detection JMLR 2021 MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks ICCV 2021 Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals JMLR 2021 Mixture Proportion Estimation and PU Learning:A Modern Approach NeurIPS 2021 MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation ACL 2021 MMKE: A Multi-Model Knowledge Extraction System from Unstructured Texts AAAI 2021 MMTAfrica: Multilingual Machine Translation for African Languages EMNLP 2021