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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)

F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning CVPR 2019 G2SAT: Learning to Generate SAT Formulas NeurIPS 2019 Game Design for Eliciting Distinguishable Behavior NeurIPS 2019 GAN Driven Semi-distant Supervision for Relation Extraction NAACL 2019 GAN-EM: GAN Based EM Learning Framework IJCAI 2019 GANs for Semi-Supervised Opinion Spam Detection IJCAI 2019 GAN-Tree: An Incrementally Learned Hierarchical Generative Framework for Multi-Modal Data Distributions ICCV 2019 Garbage In, Reward Out: Bootstrapping Exploration in Multi-Armed Bandits ICML 2019 GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019 Gaussian Process Latent Variable Alignment Learning AISTATS 2019 Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition EMNLP 2019 GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation CVPR 2019 GDPP: Learning Diverse Generations using Determinantal Point Processes ICML 2019 GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue EMNLP 2019 GEM: Generative Enhanced Model for adversarial attacks EMNLP 2019 Gendered Ambiguous Pronoun (GAP) Shared Task at the Gender Bias in NLP Workshop 2019 ACL 2019 Gendered Ambiguous Pronouns Shared Task: Boosting Model Confidence by Evidence Pooling ACL 2019 Gendered Pronoun Resolution using BERT and an Extractive Question Answering Formulation ACL 2019 Generalizable Adversarial Training via Spectral Normalization ICLR 2019 Generalization Bounds in the Predict-then-Optimize Framework NeurIPS 2019 Generalization in Generation: A closer look at Exposure Bias EMNLP 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer NeurIPS 2019 Generalized Boltzmann Machine with Deep Neural Structure AISTATS 2019 Generalized Data Augmentation for Low-Resource Translation ACL 2019 Generalized Matrix Means for Semi-Supervised Learning with Multilayer Graphs NeurIPS 2019