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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)

Feature Space Targeted Attacks by Statistic Alignment IJCAI 2021 Federated Continual Learning with Weighted Inter-client Transfer ICML 2021 Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing NeurIPS 2021 Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment ICCV 2021 Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021 Federated Linear Contextual Bandits NeurIPS 2021 Federated Multi-Task Learning under a Mixture of Distributions NeurIPS 2021 Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning ICLR 2021 FedSpeech: Federated Text-to-Speech with Continual Learning IJCAI 2021 Feedback Attribution for Counterfactual Bandit Learning in Multi-Domain Spoken Language Understanding EMNLP 2021 Feedback Coding for Active Learning AISTATS 2021 FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds CVPR 2021 Few-NERD: A Few-shot Named Entity Recognition Dataset ACL 2021 Few-Shot 3D Point Cloud Semantic Segmentation CVPR 2021 Few-Shot and Continual Learning With Attentive Independent Mechanisms ICCV 2021 Few-shot and Zero-shot Approaches to Legal Text Classification: A Case Study in the Financial Sector EMNLP 2021 Few-Shot Classification With Feature Map Reconstruction Networks CVPR 2021 Few-Shot Class-Incremental Learning via Relation Knowledge Distillation AAAI 2021 Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks EMNLP 2021 Few-shot Font Generation with Localized Style Representations and Factorization AAAI 2021 Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling CVPR 2021 Few-Shot Image Classification: Just Use a Library of Pre-Trained Feature Extractors and a Simple Classifier ICCV 2021 Few-Shot Incremental Learning With Continually Evolved Classifiers CVPR 2021 Few-Shot Intent Classification by Gauging Entailment Relationship Between Utterance and Semantic Label EMNLP 2021 Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning EMNLP 2021