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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Zero-Shot Action Recognition With Error-Correcting Output Codes CVPR 2017 Zero-Shot Activity Recognition with Verb Attribute Induction EMNLP 2017 Zero-Shot Classification With Discriminative Semantic Representation Learning CVPR 2017 Zero-Shot Learning Across Heterogeneous Overlapping Domains Interspeech 2017 Zero-Shot Learning for Natural Language Understanding Using Domain-Independent Sequential Structure and Question Types Interspeech 2017 Zero-Shot Learning - the Good, the Bad and the Ugly CVPR 2017 Zero Shot Learning via Multi-Scale Manifold Regularization CVPR 2017 Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths CVPR 2017 Zero-Shot Relation Extraction via Reading Comprehension CoNLL 2017 Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning ICML 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 A Bayesian Nonparametric Approach for Multi-label Classification ACML 2016 A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation CVPR 2016 Achieving budget-optimality with adaptive schemes in crowdsourcing NeurIPS 2016 A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation COLING 2016 A Credit Assignment Compiler for Joint Prediction NeurIPS 2016 Active and Semi-Supervised Learning in ASR: Benefits on the Acoustic and Language Models Interspeech 2016 Active Image Segmentation Propagation CVPR 2016 Active Learning Algorithms for Graphical Model Selection AISTATS 2016 Active Learning for Delineation of Curvilinear Structures CVPR 2016 Active Learning from Imperfect Labelers NeurIPS 2016 Active Learning with Oracle Epiphany NeurIPS 2016 Actively Learning Hemimetrics with Applications to Eliciting User Preferences ICML 2016 Active Nearest-Neighbor Learning in Metric Spaces NeurIPS 2016