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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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2000
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Papers (including subtopics)

Fine-Grained Foreground Retrieval via Teacher-Student Learning WACV 2021 Fine-Grained Gap-Dependent Bounds for Tabular MDPs via Adaptive Multi-Step Bootstrap COLT 2021 Fine-grained General Entity Typing in German using GermaNet NAACL 2021 Fine-grained Generalization Analysis of Inductive Matrix Completion NeurIPS 2021 Fine-grained Post-training for Improving Retrieval-based Dialogue Systems NAACL 2021 Fine-Grained Semantics-Aware Representation Enhancement for Self-Supervised Monocular Depth Estimation ICCV 2021 Fine-Grained Style Modeling, Transfer and Prediction in Text-to-Speech Synthesis via Phone-Level Content-Style Disentanglement Interspeech 2021 Fine-Grained Zero-Shot Learning with DNA as Side Information NeurIPS 2021 FINE Samples for Learning with Noisy Labels NeurIPS 2021 Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers EMNLP 2021 Fine-tuning BERT to classify COVID19 tweets containing symptoms NAACL 2021 Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling NAACL 2021 Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021 Fine-tuning Transformers for Identifying Self-Reporting Potential Cases and Symptoms of COVID-19 in Tweets NAACL 2021 Fingerspelling Detection in American Sign Language CVPR 2021 Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021 Finite-Sample Analysis of Off-Policy TD-Learning via Generalized Bellman Operators NeurIPS 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems JMLR 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 FITAnnotator: A Flexible and Intelligent Text Annotation System NAACL 2021 Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021 FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation CVPR 2021 FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition ICCV 2021