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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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220
477
4,652
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2000
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Papers (including subtopics)

Semantic Segmentation of Legal Documents via Rhetorical Roles EMNLP 2022 Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes AAAI 2022 Semantic Shift Stability: Efficient Way to Detect Performance Degradation of Word Embeddings and Pre-trained Language Models AACL 2022 Semantic uncertainty intervals for disentangled latent spaces NeurIPS 2022 SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022 SemEval-2022 Task 7: Identifying Plausible Clarifications of Implicit and Underspecified Phrases in Instructional Texts SemEval 2022 SEM-F1: an Automatic Way for Semantic Evaluation of Multi-Narrative Overlap Summaries at Scale EMNLP 2022 Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling Interspeech 2022 SemiFL: Semi-Supervised Federated Learning for Unlabeled Clients with Alternate Training NeurIPS 2022 Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness AISTATS 2022 Semi-infinitely Constrained Markov Decision Processes NeurIPS 2022 Semi-supervised Acoustic and Language Modeling for Hindi ASR Interspeech 2022 Semi-supervised Active Linear Regression NeurIPS 2022 Semi-supervised Adversarial Text Generation based on Seq2Seq models EMNLP 2022 Semi-supervised Conditional Density Estimation with Wasserstein Laplacian Regularisation AAAI 2022 Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network ACL 2022 Semi-Supervised Domain Adaptation via Sample-to-Sample Self-Distillation WACV 2022 Semi-Supervised Few-Shot Learning via Multi-Factor Clustering CVPR 2022 Semi-Supervised Formality Style Transfer with Consistency Training ACL 2022 Semi-Supervised Generative Models for Multiagent Trajectories NeurIPS 2022 Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations IJCAI 2022 Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems EMNLP 2022 Semi-Supervised Learning of Semantic Correspondence With Pseudo-Labels CVPR 2022 Semi-Supervised Learning with Decision Trees: Graph Laplacian Tree Alternating Optimization NeurIPS 2022 Semi-supervised Learning with Multi-Head Co-Training AAAI 2022