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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)

Sorting through the noise: Testing robustness of information processing in pre-trained language models EMNLP 2021 Source-Free Domain Adaptation for Semantic Segmentation CVPR 2021 Source-free Domain Adaptation via Avatar Prototype Generation and Adaptation IJCAI 2021 Space-Time Crop & Attend: Improving Cross-Modal Video Representation Learning ICCV 2021 SPADE: A Semi-supervised Probabilistic Approach for Detecting Errors in Tables IJCAI 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 SpanAlign: Efficient Sequence Tagging Annotation Projection into Translated Data applied to Cross-Lingual Opinion Mining EMNLP 2021 Span Fine-tuning for Pre-trained Language Models EMNLP 2021 Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm ICML 2021 Sparse Attention with Linear Units EMNLP 2021 Sparse Deep Learning: A New Framework Immune to Local Traps and Miscalibration NeurIPS 2021 Sparse Feature Selection Makes Batch Reinforcement Learning More Sample Efficient ICML 2021 Sparsely Changing Latent States for Prediction and Planning in Partially Observable Domains NeurIPS 2021 Sparsity-Agnostic Lasso Bandit ICML 2021 SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation ICCV 2021 Spatially Consistent Representation Learning CVPR 2021 Spatially Structured Recurrent Modules ICLR 2021 Spatial Temporal Enhanced Contrastive and Pretext Learning for Skeleton-based Action Representation ACML 2021 Spatial Uncertainty-Aware Semi-Supervised Crowd Counting ICCV 2021 Spatio-temporal Contrastive Domain Adaptation for Action Recognition CVPR 2021 Spatiotemporal Contrastive Video Representation Learning CVPR 2021 Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation AAAI 2021 Spatiotemporal Graph Neural Network for Performance Prediction of Photovoltaic Power Systems AAAI 2021 Spatio-Temporal Self-Supervised Representation Learning for 3D Point Clouds ICCV 2021 Spatio-Temporal Variational Gaussian Processes NeurIPS 2021