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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)

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation EMNLP 2017 Identifying Unreliable and Adversarial Workers in Crowdsourced Labeling Tasks JMLR 2017 Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017 Idiom Savant at Semeval-2017 Task 7: Detection and Interpretation of English Puns SemEval 2017 If You Can’t Beat Them Join Them: Handcrafted Features Complement Neural Nets for Non-Factoid Answer Reranking EACL 2017 IIIT-H at IJCNLP-2017 Task 4: Customer Feedback Analysis using Machine Learning and Neural Network Approaches IJCNLP 2017 IITP at SemEval-2017 Task 8 : A Supervised Approach for Rumour Evaluation SemEval 2017 Image Pivoting for Learning Multilingual Multimodal Representations EMNLP 2017 Imagination Improves Multimodal Translation IJCNLP 2017 Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning JMLR 2017 Imitation learning for structured prediction in natural language processing EACL 2017 Implicit Syntactic Features for Target-dependent Sentiment Analysis IJCNLP 2017 Importance sampling for unbiased on-demand evaluation of knowledge base population EMNLP 2017 Improved Dynamic Regret for Non-degenerate Functions NeurIPS 2017 Improved Variational Autoencoders for Text Modeling using Dilated Convolutions ICML 2017 Improving Chinese Semantic Role Labeling using High-quality Surface and Deep Case Frames EACL 2017 Improving Deliverable Speech-to-Text Systems with Multilingual Knowledge Transfer Interspeech 2017 Improving Evaluation of Document-level Machine Translation Quality Estimation EACL 2017 Improving Facial Attribute Prediction Using Semantic Segmentation CVPR 2017 Improving Learning-from-Crowds through Expert Validation IJCAI 2017 Improving Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms and Its Applications NeurIPS 2017 Improving Robustness of Speaker Recognition to New Conditions Using Unlabeled Data Interspeech 2017 Improving ROUGE for Timeline Summarization EACL 2017 Improving the Expected Improvement Algorithm NeurIPS 2017 IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks CoNLL 2017