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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)

Multi-Channel Convolutional Neural Networks with Adversarial Training for Few-Shot Relation Classification (Student Abstract) AAAI 2020 Multi-choice Relational Reasoning for Machine Reading Comprehension COLING 2020 Multi-Class Imbalanced Graph Convolutional Network Learning IJCAI 2020 Multi-class Novelty Detection Using Mix-up Technique WACV 2020 MultiCQA: Zero-Shot Transfer of Self-Supervised Text Matching Models on a Massive Scale EMNLP 2020 Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning EMNLP 2020 Multi-Domain Dialogue Acts and Response Co-Generation ACL 2020 Multi-Domain Learning for Accurate and Few-Shot Color Constancy CVPR 2020 Multi-Domain Named Entity Recognition with Genre-Aware and Agnostic Inference ACL 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NeurIPS 2020 Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020 Multi-grained Chinese Word Segmentation with Weakly Labeled Data COLING 2020 Multi-hop Inference for Question-driven Summarization EMNLP 2020 Multi-Hypothesis Machine Translation Evaluation ACL 2020 Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos AAAI 2020 Multi-Label Causal Feature Selection AAAI 2020 Multi-Label Classification with Label Graph Superimposing AAAI 2020 Multi-label Contrastive Predictive Coding NeurIPS 2020 Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020 Multi-label Few/Zero-shot Learning with Knowledge Aggregated from Multiple Label Graphs EMNLP 2020 Multi-Label Visual Feature Learning with Attentional Aggregation WACV 2020 Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing COLING 2020 Multilingual Knowledge Graph Completion via Ensemble Knowledge Transfer EMNLP 2020 Multilingual Speech Recognition Using Language-Specific Phoneme Recognition as Auxiliary Task for Indian Languages Interspeech 2020