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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
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2000
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Papers (including subtopics)

KL-Divergence Regularized Deep Neural Network Adaptation for Low-Resource Speaker-Dependent Speech Enhancement Interspeech 2019 Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019 Knowing When to Stop: Evaluation and Verification of Conformity to Output-Size Specifications CVPR 2019 Knowledge Amalgamation from Heterogeneous Networks by Common Feature Learning IJCAI 2019 Knowledge-aware Pronoun Coreference Resolution ACL 2019 Knowledge-Based Linguistic Encoding for End-to-End Mandarin Text-to-Speech Synthesis Interspeech 2019 Knowledge Distillation with Adversarial Samples Supporting Decision Boundary AAAI 2019 Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons AAAI 2019 Know What You Don’t Know: Modeling a Pragmatic Speaker that Refers to Objects of Unknown Categories ACL 2019 Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model EMNLP 2019 KU_ai at MEDIQA 2019: Domain-specific Pre-training and Transfer Learning for Medical NLI ACL 2019 L2F/INESC-ID at SemEval-2019 Task 2: Unsupervised Lexical Semantic Frame Induction using Contextualized Word Representations SemEval 2019 Label-Agnostic Sequence Labeling by Copying Nearest Neighbors ACL 2019 Label Efficient Semi-Supervised Learning via Graph Filtering CVPR 2019 Label Embedding with Partial Heterogeneous Contexts AAAI 2019 LabelForest: Non-Parametric Semi-Supervised Learning for Activity Recognition AAAI 2019 Label-Noise Robust Generative Adversarial Networks CVPR 2019 Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation ICCV 2019 Label Propagation for Deep Semi-Supervised Learning CVPR 2019 LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup ICCV 2019 Landmark Selection for Zero-shot Learning IJCAI 2019 Language Learning Using Speech to Image Retrieval Interspeech 2019 Larger Norm More Transferable: An Adaptive Feature Norm Approach for Unsupervised Domain Adaptation ICCV 2019 Large Scale Adversarial Representation Learning NeurIPS 2019 Large-Scale Few-Shot Learning: Knowledge Transfer With Class Hierarchy CVPR 2019