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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 Architectures for Multilingual Semantic Parsing ACL 2017 Neural Domain Adaptation for Biomedical Question Answering CoNLL 2017 Neural End-to-End Learning for Computational Argumentation Mining ACL 2017 Neural Episodic Control ICML 2017 Neural Face Editing With Intrinsic Image Disentangling CVPR 2017 Neural Machine Translation Leveraging Phrase-based Models in a Hybrid Search EMNLP 2017 Neural Net Models of Open-domain Discourse Coherence EMNLP 2017 Neural Program Meta-Induction NeurIPS 2017 Neural Relation Extraction with Multi-lingual Attention ACL 2017 Neural Response Generation via GAN with an Approximate Embedding Layer EMNLP 2017 Neural Structural Correspondence Learning for Domain Adaptation CoNLL 2017 Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017 Neural System Combination for Machine Translation ACL 2017 Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario EACL 2017 Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World IJCAI 2017 NITE: A Neural Inductive Teaching Framework for Domain Specific NER EMNLP 2017 NLPSA at IJCNLP-2017 Task 2: Imagine Scenario: Leveraging Supportive Images for Dimensional Sentiment Analysis IJCNLP 2017 NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project IJCNLP 2017 Noise-Clustered Distant Supervision for Relation Extraction: A Nonparametric Bayesian Perspective EMNLP 2017 Noise Mitigation for Neural Entity Typing and Relation Extraction EACL 2017 Noise-Tolerant Interactive Learning Using Pairwise Comparisons NeurIPS 2017 Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017 Nonlinear ICA of Temporally Dependent Stationary Sources AISTATS 2017 Nonlinear Maximum Margin Multi-View Learning with Adaptive Kernel IJCAI 2017 Nonparametric Online Machine Learning with Kernels IJCAI 2017