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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)

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location ICML 2020 Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding Interspeech 2020 Style Variation as a Vantage Point for Code-Switching Interspeech 2020 Style versus Content: A distinction without a (learnable) difference? COLING 2020 Stylized Text Generation: Approaches and Applications ACL 2020 Subband Kalman Filtering with DNN Estimated Parameters for Speech Enhancement Interspeech 2020 Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning ICML 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Submodular Bandit Problem Under Multiple Constraints UAI 2020 Sub-sampling for Efficient Non-Parametric Bandit Exploration NeurIPS 2020 Subset Selection by Pareto Optimization with Recombination AAAI 2020 Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach EMNLP 2020 SunBear at WNUT-2020 Task 2: Improving BERT-Based Noisy Text Classification with Knowledge of the Data domain EMNLP 2020 Supermasks in Superposition NeurIPS 2020 Supersense and Sensibility: Proxy Tasks for Semantic Annotation of Prepositions COLING 2020 Supertagging Combinatory Categorial Grammar with Attentive Graph Convolutional Networks EMNLP 2020 SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document Summarization ACL 2020 Supervised Adaptation of Sequence-to-Sequence Speech Recognition Systems using Batch-Weighting AACL 2020 Supervised Contrastive Learning NeurIPS 2020 Supervised Discovery of Unknown Unknowns through Test Sample Mining (Student Abstract) AAAI 2020 Supervised Domain Adaptation for Text-Independent Speaker Verification Using Limited Data Interspeech 2020 Supervised Learning with Background Knowledge PGM 2020 Supervised Seeded Iterated Learning for Interactive Language Learning EMNLP 2020 SupMMD: A Sentence Importance Model for Extractive Summarization using Maximum Mean Discrepancy EMNLP 2020 SUPP.AI: finding evidence for supplement-drug interactions ACL 2020