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

EC2: Emergent Communication for Embodied Control CVPR 2023 ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER ACL 2023 ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation SemEval 2023 ECO-3D: Equivariant Contrastive Learning for Pre-training on Perturbed 3D Point Cloud AAAI 2023 Ecologically Valid Explanations for Label Variation in NLI EMNLP 2023 EconBERTa: Towards Robust Extraction of Named Entities in Economics EMNLP 2023 EcoTTA: Memory-Efficient Continual Test-Time Adaptation via Self-Distilled Regularization CVPR 2023 Edge Guided GANs with Contrastive Learning for Semantic Image Synthesis ICLR 2023 Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision CVPR 2023 EDIS: Entity-Driven Image Search over Multimodal Web Content EMNLP 2023 Editable Image Geometric Abstraction via Neural Primitive Assembly ICCV 2023 EEG-based Auditory Attention Detection with Spatiotemporal Graph and Graph Convolutional Network Interspeech 2023 EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision CVPR 2023 Effective Continual Learning for Text Classification with Lightweight Snapshots AAAI 2023 Effective Contrastive Weighting for Dense Query Expansion ACL 2023 Effective Human-AI Teams via Learned Natural Language Rules and Onboarding NeurIPS 2023 Effectively Using Public Data in Privacy Preserving Machine Learning ICML 2023 Effective Open Intent Classification with K-center Contrastive Learning and Adjustable Decision Boundary AAAI 2023 Effective Proxy for Human Labeling: Ensemble Disagreement Scores in Large Language Models for Industrial NLP EMNLP 2023 Effective Self-supervised Pre-training on Low-compute Networks without Distillation ICLR 2023 Effective Structured Prompting by Meta-Learning and Representative Verbalizer ICML 2023 Effective Targeted Attacks for Adversarial Self-Supervised Learning NeurIPS 2023 Effective Training of Attention-based Contextual Biasing Adapters with Synthetic Audio for Personalised ASR Interspeech 2023 Effects of Human Adversarial and Affable Samples on BERT Generalization EMNLP 2023 Efficient Adaptation of Spoken Language Understanding based on End-to-End Automatic Speech Recognition Interspeech 2023