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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
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2000
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Papers (including subtopics)

Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning NeurIPS 2021 Goal-Conditioned Reinforcement Learning with Imagined Subgoals ICML 2021 GOAL: Gist-set Online Active Learning for Efficient Chest X-ray Image Annotation MIDL 2021 Goal-Oriented Gaze Estimation for Zero-Shot Learning CVPR 2021 Gone Fishing: Neural Active Learning with Fisher Embeddings NeurIPS 2021 G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NeurIPS 2021 GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning ICML 2021 Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Gradient-Based Adversarial Factual Consistency Evaluation for Abstractive Summarization EMNLP 2021 Gradient-Based Algorithms for Machine Teaching CVPR 2021 Gradient-based Editing of Memory Examples for Online Task-free Continual Learning NeurIPS 2021 Gradient-Based Localization and Spatial Attention for Confidence Measure in Fine-Grained Recognition using Deep Neural Networks AAAI 2021 Gradient Descent in RKHS with Importance Labeling AISTATS 2021 Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation ICCV 2021 Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering NeurIPS 2021 Gradient Imitation Reinforcement Learning for Low Resource Relation Extraction EMNLP 2021 Gradient Projection Memory for Continual Learning ICLR 2021 Gradient Regularized Contrastive Learning for Continual Domain Adaptation AAAI 2021 GradingNet: Towards Providing Reliable Supervisions for Weakly Supervised Object Detection by Grading the Box Candidates AAAI 2021 GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training ICML 2021 Gradual Domain Adaptation without Indexed Intermediate Domains NeurIPS 2021 Gradual Fine-Tuning for Low-Resource Domain Adaptation EACL 2021 Grafit: Learning Fine-Grained Image Representations With Coarse Labels ICCV 2021 Grammatical Error Correction with Contrastive Learning in Low Error Density Domains EMNLP 2021 Graph Adversarial Self-Supervised Learning NeurIPS 2021