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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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Papers (including subtopics)

Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling NAACL 2019 Handling Syntactic Divergence in Low-resource Machine Translation EMNLP 2019 Handwriting Recognition in Low-Resource Scripts Using Adversarial Learning CVPR 2019 HAQ: Hardware-Aware Automated Quantization With Mixed Precision CVPR 2019 Harmonic Unpaired Image-to-image Translation ICLR 2019 Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer EMNLP 2019 Harnessing Reinforcement Learning for Neural Motion Planning RSS 2019 Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models IJCAI 2019 Hashtag Recommendation for Photo Sharing Services AAAI 2019 HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering AAAI 2019 HEAD-QA: A Healthcare Dataset for Complex Reasoning ACL 2019 Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning CVPR 2019 HEIDL: Learning Linguistic Expressions with Deep Learning and Human-in-the-Loop ACL 2019 HERS: Modeling Influential Contexts with Heterogeneous Relations for Sparse and Cold-Start Recommendation AAAI 2019 Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification EMNLP 2019 Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019 Heuristic Authorship Obfuscation ACL 2019 HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings SemEval 2019 HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization ACL 2019 Hierarchical Classification Based on Label Distribution Learning AAAI 2019 Hierarchical Deep Feature Learning for Decoding Imagined Speech from EEG AAAI 2019 Hierarchical Disentanglement of Discriminative Latent Features for Zero-Shot Learning CVPR 2019 Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables AAAI 2019 Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning IJCAI 2019 Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation AAAI 2019