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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)

Extending Neural Generative Conversational Model using External Knowledge Sources EMNLP 2018 Extracting Commonsense Properties from Embeddings with Limited Human Guidance ACL 2018 Extracting In-domain Training Corpora for Neural Machine Translation Using Data Selection Methods EMNLP 2018 Extracting Privileged Information from Untagged Corpora for Classifier Learning IJCAI 2018 Extracting Relationships by Multi-Domain Matching NeurIPS 2018 Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts EMNLP 2018 ExtRA: Extracting Prominent Review Aspects from Customer Feedback EMNLP 2018 EZLearn: Exploiting Organic Supervision in Automated Data Annotation IJCAI 2018 FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis CVPR 2018 Facelet-Bank for Fast Portrait Manipulation CVPR 2018 Facial Expression Recognition by De-Expression Residue Learning CVPR 2018 Factored Bandits NeurIPS 2018 Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting ACL 2018 Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure AISTATS 2018 Fast Approach to Build an Automatic Sentiment Annotator for Legal Domain using Transfer Learning EMNLP 2018 Fast ASR-free and Almost Zero-resource Keyword Spotting Using DTW and CNNs for Humanitarian Monitoring Interspeech 2018 Fast Estimation of Causal Interactions using Wold Processes NeurIPS 2018 Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams IJCAI 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling ICLR 2018 Fast Language Adaptation Using Phonological Information Interspeech 2018 Fast Model Identification via Physics Engines for Data-Efficient Policy Search IJCAI 2018 Fast Parametric Learning with Activation Memorization ICML 2018 Fast Video Object Segmentation by Reference-Guided Mask Propagation CVPR 2018 FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification NeurIPS 2018 FearNet: Brain-Inspired Model for Incremental Learning ICLR 2018