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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)

Weakly Supervised Instance Segmentation Using Class Peak Response CVPR 2018 Weakly Supervised Learning of Single-Cell Feature Embeddings CVPR 2018 Weakly-Supervised Neural Semantic Parsing with a Generative Ranker CoNLL 2018 Weakly Supervised Phrase Localization With Multi-Scale Anchored Transformer Network CVPR 2018 Weakly Supervised Semantic Parsing with Abstract Examples ACL 2018 Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Features CVPR 2018 Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing CVPR 2018 Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification CVPR 2018 Weighted Tensor Decomposition for Learning Latent Variables with Partial Data AISTATS 2018 What It Takes to Achieve 100% Condition Accuracy on WikiSQL EMNLP 2018 What’s in a Domain? Learning Domain-Robust Text Representations using Adversarial Training NAACL 2018 When does deep multi-task learning work for loosely related document classification tasks? EMNLP 2018 When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach IJCAI 2018 Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior NeurIPS 2018 Where is Your Evidence: Improving Fact-checking by Justification Modeling EMNLP 2018 Which Training Methods for GANs do actually Converge? ICML 2018 Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems Interspeech 2018 Who Learns Better Bayesian Network Structures: Constraint-Based, Score-based or Hybrid Algorithms? PGM 2018 Why is unsupervised alignment of English embeddings from different algorithms so hard? EMNLP 2018 Why so gloomy? A Bayesian explanation of human pessimism bias in the multi-armed bandit task NeurIPS 2018 Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining ACL 2018 With Friends Like These, Who Needs Adversaries? NeurIPS 2018 Word Embedding and WordNet Based Metaphor Identification and Interpretation ACL 2018 Word Emotion Induction for Multiple Languages as a Deep Multi-Task Learning Problem NAACL 2018 Word-Level Loss Extensions for Neural Temporal Relation Classification COLING 2018