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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)

CYUT-III Team Chinese Grammatical Error Diagnosis System Report in NLPTEA-2018 CGED Shared Task ACL 2018 DA-GAN: Instance-Level Image Translation by Deep Attention Generative Adversarial Networks CVPR 2018 Data Collection for Dialogue System: A Startup Perspective NAACL 2018 Data Distillation: Towards Omni-Supervised Learning CVPR 2018 Data-Driven Measurement Models for Active Localization in Sparse Environments RSS 2018 Data-driven Onboard Scheduling for an Autonomous Observation Satellite IJCAI 2018 Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control AISTATS 2018 Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data Interspeech 2018 Datasets of Slovene and Croatian Moderated News Comments EMNLP 2018 DCFEE: A Document-level Chinese Financial Event Extraction System based on Automatically Labeled Training Data ACL 2018 Dear Sir or Madam, May I Introduce the GYAFC Dataset: Corpus, Benchmarks and Metrics for Formality Style Transfer NAACL 2018 DebugSL: An Interactive Tool for Debugging Sentiment Lexicons NAACL 2018 DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation CVPR 2018 Decision Boundary Analysis of Adversarial Examples ICLR 2018 Decision Conversations Decoded NAACL 2018 Decision-Making Under Uncertainty in Multi-Agent and Multi-Robot Systems: Planning and Learning IJCAI 2018 DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning EMNLP 2018 Deconfounded Lexicon Induction for Interpretable Social Science NAACL 2018 Deconvolutional Time Series Regression: A Technique for Modeling Temporally Diffuse Effects EMNLP 2018 Decoupling Strategy and Generation in Negotiation Dialogues EMNLP 2018 Decoupling Structure and Lexicon for Zero-Shot Semantic Parsing EMNLP 2018 Deep Adversarial Metric Learning CVPR 2018 Deep Adversarial Subspace Clustering CVPR 2018 DeepAlignment: Unsupervised Ontology Matching with Refined Word Vectors NAACL 2018 Deep Anomaly Detection Using Geometric Transformations NeurIPS 2018