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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)

Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography ICML 2019 Discriminator-Actor-Critic: Addressing Sample Inefficiency and Reward Bias in Adversarial Imitation Learning ICLR 2019 Discriminator optimal transport NeurIPS 2019 Discriminator Rejection Sampling ICLR 2019 Disentangled behavioural representations NeurIPS 2019 Disentangled Representation Learning for Non-Parallel Text Style Transfer ACL 2019 Disentangling Adversarial Robustness and Generalization CVPR 2019 Disentangling Style Factors from Speaker Representations Interspeech 2019 Disjoint Label Space Transfer Learning with Common Factorised Space AAAI 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Dissimilarity Coefficient Based Weakly Supervised Object Detection CVPR 2019 Distant Learning for Entity Linking with Automatic Noise Detection ACL 2019 Distantly Supervised Biomedical Knowledge Acquisition via Knowledge Graph Based Attention NAACL 2019 Distantly Supervised Entity Relation Extraction with Adapted Manual Annotations AAAI 2019 Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ACL 2019 Distant Supervised Relation Extraction with Separate Head-Tail CNN EMNLP 2019 Distant Supervision for Relation Extraction with Linear Attenuation Simulation and Non-IID Relevance Embedding AAAI 2019 DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs CVPR 2019 Distilling Discrimination and Generalization Knowledge for Event Detection via Delta-Representation Learning ACL 2019 Distilling Translations with Visual Awareness ACL 2019 Distill Knowledge From NRSfM for Weakly Supervised 3D Pose Learning ICCV 2019 DistInit: Learning Video Representations Without a Single Labeled Video ICCV 2019 Distributionally Adversarial Attack AAAI 2019 Distributionally Robust Optimization and Generalization in Kernel Methods NeurIPS 2019 Distributionally Robust Semi-Supervised Learning for People-Centric Sensing AAAI 2019