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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)

Adaptive Approximate Policy Iteration AISTATS 2021 Adaptive-Attentive Geolocalization From Few Queries: A Hybrid Approach WACV 2021 Adaptive Confidence Thresholding for Monocular Depth Estimation ICCV 2021 Adaptive Consistency Regularization for Semi-Supervised Transfer Learning CVPR 2021 Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval CVPR 2021 Adaptive Curriculum Learning ICCV 2021 Adaptive Discretization for Adversarial Lipschitz Bandits COLT 2021 Adaptive Ensemble Q-learning: Minimizing Estimation Bias via Error Feedback NeurIPS 2021 Adaptive Fusion Techniques for Multimodal Data EACL 2021 Adaptive Information Seeking for Open-Domain Question Answering EMNLP 2021 Adaptive Knowledge Driven Regularization for Deep Neural Networks AAAI 2021 Adaptive Learning in Continuous Games: Optimal Regret Bounds and Convergence to Nash Equilibrium COLT 2021 Adaptive Listening to Everyday Soundscapes Interspeech 2021 Adaptive Machine Unlearning NeurIPS 2021 Adaptive Prototype Learning and Allocation for Few-Shot Segmentation CVPR 2021 Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge IJCAI 2021 Adaptive Risk Minimization: Learning to Adapt to Domain Shift NeurIPS 2021 Adaptive Sampling for Best Policy Identification in Markov Decision Processes ICML 2021 Adaptive Sampling for Estimating Distributions: A Bayesian Upper Confidence Bound Approach L4DC 2021 Adaptive Sampling for Minimax Fair Classification NeurIPS 2021 Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners AAAI 2021 Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptive Weighted Discriminator for Training Generative Adversarial Networks CVPR 2021 Adaptivity in Adaptive Submodularity COLT 2021 Adaptor Grammars for Unsupervised Paradigm Clustering ACL 2021