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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)

MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing COLING 2020 NAAGN: Noise-Aware Attention-Gated Network for Speech Enhancement Interspeech 2020 Named Entity Recognition in Multi-level Contexts AACL 2020 Named Entity Recognition Only from Word Embeddings EMNLP 2020 Named Entity Recognition without Labelled Data: A Weak Supervision Approach ACL 2020 Native-like Expression Identification by Contrasting Native and Proficient Second Language Speakers COLING 2020 NAT: Noise-Aware Training for Robust Neural Sequence Labeling ACL 2020 Natural Language Processing for Achieving Sustainable Development: the Case of Neural Labelling to Enhance Community Profiling EMNLP 2020 Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs EMNLP 2020 Near-Optimal Comparison Based Clustering NeurIPS 2020 Near-optimal Individualized Treatment Recommendations JMLR 2020 Negative Sampling in Semi-Supervised learning ICML 2020 Negative Training for Neural Dialogue Response Generation ACL 2020 Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning AAAI 2020 NeoNav: Improving the Generalization of Visual Navigation via Generating Next Expected Observations AAAI 2020 Nested-Wasserstein Self-Imitation Learning for Sequence Generation AISTATS 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ICLR 2020 Network as Regularization for Training Deep Neural Networks: Framework, Model and Performance AAAI 2020 Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning ICLR 2020 Network Schema Preserving Heterogeneous Information Network Embedding IJCAI 2020 NEU at WNUT-2020 Task 2: Data Augmentation To Tell BERT That Death Is Not Necessarily Informative EMNLP 2020 Neural Abstractive Multi-Document Summarization: Hierarchical or Flat Structure? AACL 2020 Neural Architecture Generator Optimization NeurIPS 2020 Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search AAAI 2020 Neural Belief Reasoner IJCAI 2020