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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)

SO-HandNet: Self-Organizing Network for 3D Hand Pose Estimation With Semi-Supervised Learning ICCV 2019 Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods NeurIPS 2019 Solving Partially Observable Stochastic Games with Public Observations AAAI 2019 SOSNet: Second Order Similarity Regularization for Local Descriptor Learning CVPR 2019 SOURCE: SOURce-Conditional Elmo-style Model for Machine Translation Quality Estimation ACL 2019 SParC: Cross-Domain Semantic Parsing in Context ACL 2019 spark-crowd: A Spark Package for Learning from Crowdsourced Big Data JMLR 2019 Sparse Adversarial Perturbations for Videos AAAI 2019 Sparse and Imperceivable Adversarial Attacks ICCV 2019 Sparse Dictionary Learning by Dynamical Neural Networks ICLR 2019 SparseFool: A Few Pixels Make a Big Difference CVPR 2019 Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models NeurIPS 2019 Sparse Multi-Channel Variational Autoencoder for the Joint Analysis of Heterogeneous Data ICML 2019 SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS 2019 SparseSpeech: Unsupervised Acoustic Unit Discovery with Memory-Augmented Sequence Autoencoders Interspeech 2019 SPARSE: Structured Prediction using Argument-Relative Structured Encoding NAACL 2019 Spatiality Preservable Factored Poisson Regression for Large-Scale Fine-Grained GPS-Based Population Analysis AAAI 2019 Spatially Aggregated Gaussian Processes with Multivariate Areal Outputs NeurIPS 2019 Spatially Invariant Unsupervised Object Detection with Convolutional Neural Networks AAAI 2019 Spatial-Temporal Person Re-Identification AAAI 2019 Spatio-Temporal Attention Pooling for Audio Scene Classification Interspeech 2019 Speaker Adaptation for Attention-Based End-to-End Speech Recognition Interspeech 2019 Speaker Adaptation for Lip-Reading Using Visual Identity Vectors Interspeech 2019 Speaker Adversarial Training of DPGMM-Based Feature Extractor for Zero-Resource Languages Interspeech 2019 Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning Interspeech 2019