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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)

Tools for Data-driven Modeling of Within-Hand Manipulation with Underactuated Adaptive Hands L4DC 2020 Topic Balancing with Additive Regularization of Topic Models ACL 2020 Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 Topic Modeling via Full Dependence Mixtures ICML 2020 Top-Rank-Focused Adaptive Vote Collection for the Evaluation of Domain-Specific Semantic Models EMNLP 2020 To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks ACL 2020 To Relieve Your Headache of Training an MRF, Take AdVIL ICLR 2020 Toward a neuro-inspired creative decoder IJCAI 2020 Toward A Thousand Lights: Decentralized Deep Reinforcement Learning for Large-Scale Traffic Signal Control AAAI 2020 Toward a Universal Model for Shape From Texture CVPR 2020 Toward Evaluating Robustness of Deep Reinforcement Learning with Continuous Control ICLR 2020 Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models L4DC 2020 Toward Interactive Self-Annotation For Video Object Bounding Box: Recurrent Self-Learning And Hierarchical Annotation Based Framework WACV 2020 Toward Micro-Dialect Identification in Diaglossic and Code-Switched Environments EMNLP 2020 Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons EMNLP 2020 Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction COLING 2020 Towards Accurate and Robust Domain Adaptation under Noisy Environments IJCAI 2020 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Towards a Comprehensive Taxonomy and Large-Scale Annotated Corpus for Online Slur Usage EMNLP 2020 Towards A Friendly Online Community: An Unsupervised Style Transfer Framework for Profanity Redaction COLING 2020 Towards a Hierarchical Bayesian Model of Multi-View Anomaly Detection IJCAI 2020 Towards a Standardized Dataset on Indonesian Named Entity Recognition AACL 2020 Towards automatically generating Questions under Discussion to link information and discourse structure COLING 2020 Towards building a Robust Industry-scale Question Answering System COLING 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020