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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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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Spectral Feature Scaling Method for Supervised Dimensionality Reduction IJCAI 2018 SpectralNet: Spectral Clustering using Deep Neural Networks ICLR 2018 Spectral Signatures in Backdoor Attacks NeurIPS 2018 Speech Emotion Recognition Using Spectrogram & Phoneme Embedding Interspeech 2018 Speech Processing in the Human Brain Meets Deep Learning Interspeech 2018 Speeding up Context-based Sentence Representation Learning with Non-autoregressive Convolutional Decoding ACL 2018 Spoken Keyword Detection Using Joint DTW-CNN Interspeech 2018 Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources EMNLP 2018 Sprucing up the trees – Error detection in treebanks COLING 2018 SQL-Rank: A Listwise Approach to Collaborative Ranking ICML 2018 SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling NAACL 2018 SSR-Net: A Compact Soft Stagewise Regression Network for Age Estimation IJCAI 2018 Stabilizing Adversarial Nets with Prediction Methods ICLR 2018 StackDRL: Stacked Deep Reinforcement Learning for Fine-grained Visual Categorization IJCAI 2018 Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal CVPR 2018 Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning NeurIPS 2018 State Abstractions for Lifelong Reinforcement Learning ICML 2018 Steering Social Activity: A Stochastic Optimal Control Point Of View JMLR 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018 Stochastic Answer Networks for Machine Reading Comprehension ACL 2018 Streaming kernel regression with provably adaptive mean, variance, and regularization JMLR 2018 Streaming Principal Component Analysis in Noisy Setting ICML 2018 Strong Baselines for Neural Semi-Supervised Learning under Domain Shift ACL 2018 Structural Causal Bandits: Where to Intervene? NeurIPS 2018 Structured Control Nets for Deep Reinforcement Learning ICML 2018