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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)

BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation ICCV 2021 Barlow Twins: Self-Supervised Learning via Redundancy Reduction ICML 2021 BART-TL: Weakly-Supervised Topic Label Generation EACL 2021 BASAR:Black-Box Attack on Skeletal Action Recognition CVPR 2021 BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders ICML 2021 Batavia asked for advice. Pretrained language models for Named Entity Recognition in historical texts. EMNLP 2021 Batch Active Learning at Scale NeurIPS 2021 Batch Multi-Fidelity Bayesian Optimization with Deep Auto-Regressive Networks NeurIPS 2021 Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective ICCV 2021 Bayes DistNet - A Robust Neural Network for Algorithm Runtime Distribution Predictions AAAI 2021 Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021 Bayesian decision-making under misspecified priors with applications to meta-learning NeurIPS 2021 Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021 Bayesian Structural Adaptation for Continual Learning ICML 2021 Bayesian Text Classification and Summarization via A Class-Specified Topic Model JMLR 2021 BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification NAACL 2021 BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation CVPR 2021 BCORLE(λ): An Offline Reinforcement Learning and Evaluation Framework for Coupons Allocation in E-commerce Market NeurIPS 2021 BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning CoRL 2021 Beating Attackers At Their Own Games: Adversarial Example Detection Using Adversarial Gradient Directions AAAI 2021 Behavioral Cloning from Noisy Demonstrations ICLR 2021 Behavior From the Void: Unsupervised Active Pre-Training NeurIPS 2021 Bellman Eluder Dimension: New Rich Classes of RL Problems, and Sample-Efficient Algorithms NeurIPS 2021 Beltrami Flow and Neural Diffusion on Graphs NeurIPS 2021 Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset EMNLP 2021