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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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220
477
4,652
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2000
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Papers (including subtopics)

Flexible and accurate inference and learning for deep generative models NeurIPS 2018 FlipDial: A Generative Model for Two-Way Visual Dialogue CVPR 2018 FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation CVPR 2018 Follow-up Question Generation Using Pattern-based Seq2seq with a Small Corpus for Interview Coaching Interspeech 2018 Fooling Vision and Language Models Despite Localization and Attention Mechanism CVPR 2018 Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks NeurIPS 2018 Foreground Clustering for Joint Segmentation and Localization in Videos and Images NeurIPS 2018 Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages NAACL 2018 Forward-Backward Attention Decoder Interspeech 2018 FRAGE: Frequency-Agnostic Word Representation NeurIPS 2018 FrameIt: Ontology Discovery for Noisy User-Generated Text EMNLP 2018 Fraternal Dropout ICLR 2018 From Chinese Word Segmentation to Extraction of Constructions: Two Sides of the Same Algorithmic Coin COLING 2018 From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings NAACL 2018 From Pixels to Objects: Cubic Visual Attention for Visual Question Answering IJCAI 2018 Frustrated, Polite, or Formal: Quantifying Feelings and Tone in Email NAACL 2018 Full Bayesian Hidden Markov Model Variational Autoencoder for Acoustic Unit Discovery Interspeech 2018 Functional Gradient Boosting based on Residual Network Perception ICML 2018 Functional Map of the World CVPR 2018 GAGAN: Geometry-Aware Generative Adversarial Networks CVPR 2018 GAIN: Missing Data Imputation using Generative Adversarial Nets ICML 2018 GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets ICLR 2018 Gated Path Planning Networks ICML 2018 Gaussian Process Prior Variational Autoencoders NeurIPS 2018 Generalisation in humans and deep neural networks NeurIPS 2018