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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)

Neural Blind Deconvolution Using Deep Priors CVPR 2020 Neural Contextual Bandits with UCB-based Exploration ICML 2020 Neural Conversational QA: Learning to Reason vs Exploiting Patterns EMNLP 2020 Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data CVPR 2020 Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence ACL 2020 Neural-DINF: A Neural Network based Framework for Measuring Document Influence ACL 2020 Neural Entity Summarization with Joint Encoding and Weak Supervision IJCAI 2020 Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network EMNLP 2020 Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020 Neural Graph Embedding for Neural Architecture Search AAAI 2020 Neural Inheritance Relation Guided One-Shot Layer Assignment Search AAAI 2020 Neural Machine Translation for Extremely Low-Resource African Languages: A Case Study on Bambara AACL 2020 Neural Machine Translation for Similar Languages: The Case of Indo-Aryan Languages EMNLP 2020 Neural Machine Translation for translating into Croatian and Serbian COLING 2020 Neural Mask Generator: Learning to Generate Adaptive Word Maskings for Language Model Adaptation EMNLP 2020 Neural Methods for Point-wise Dependency Estimation NeurIPS 2020 Neural Multi-task Text Normalization and Sanitization with Pointer-Generator ACL 2020 Neural Network Control Policy Verification With Persistent Adversarial Perturbation ICML 2020 Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model CVPR 2020 Neural Outlier Rejection for Self-Supervised Keypoint Learning ICLR 2020 Neural Question Generation with Answer Pivot AAAI 2020 Neural Reranking for Dependency Parsing: An Evaluation ACL 2020 Neural Simile Recognition with Cyclic Multitask Learning and Local Attention AAAI 2020 Neural Snowball for Few-Shot Relation Learning AAAI 2020 Neural Syntactic Preordering for Controlled Paraphrase Generation ACL 2020