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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)

Human-centric dialog training via offline reinforcement learning EMNLP 2020 Human Consensus-Oriented Image Captioning IJCAI 2020 HUMAN: Hierarchical Universal Modular ANnotator EMNLP 2020 Human-Machine Collaboration for Fast Land Cover Mapping AAAI 2020 Human or Neural Translation? COLING 2020 HW-TSC’s Participation at WMT 2020 Quality Estimation Shared Task EMNLP 2020 HW-TSC’s Participation in the WMT 2020 News Translation Shared Task EMNLP 2020 Hybrid Approaches to Fine-Grained Emotion Detection in Social Media Data AAAI 2020 HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data EMNLP 2020 Hybrid Transformer/CTC Networks for Hardware Efficient Voice Triggering Interspeech 2020 HYDRA: Pruning Adversarially Robust Neural Networks NeurIPS 2020 Hyperbolic Capsule Networks for Multi-Label Classification ACL 2020 Hyperbolic Interaction Model for Hierarchical Multi-Label Classification AAAI 2020 Hyperbolic Visual Embedding Learning for Zero-Shot Recognition CVPR 2020 HyperCore: Hyperbolic and Co-graph Representation for Automatic ICD Coding ACL 2020 Hypergraph Label Propagation Network AAAI 2020 HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network IJCAI 2020 Hypernymy Detection for Low-Resource Languages via Meta Learning ACL 2020 Hyperparameter Ensembles for Robustness and Uncertainty Quantification NeurIPS 2020 HyperSTAR: Task-Aware Hyperparameters for Deep Networks CVPR 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020 I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning IJCAI 2020 I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract) AAAI 2020 ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network AAAI 2020 ICE-BeeM: Identifiable Conditional Energy-Based Deep Models Based on Nonlinear ICA NeurIPS 2020