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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)

Finding Generalizable Evidence by Learning to Convince Q&A Models EMNLP 2019 Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing ACL 2019 Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts EMNLP 2019 Finding Mixed Nash Equilibria of Generative Adversarial Networks ICML 2019 Findings of the First Shared Task on Machine Translation Robustness ACL 2019 Findings of the NLP4IF-2019 Shared Task on Fine-Grained Propaganda Detection EMNLP 2019 Findings of the WMT 2019 Shared Tasks on Quality Estimation ACL 2019 Finding the bandit in a graph: Sequential search-and-stop AISTATS 2019 Find Me if You Can: Deep Software Clone Detection by Exploiting the Contest between the Plagiarist and the Detector AAAI 2019 FineGAN: Unsupervised Hierarchical Disentanglement for Fine-Grained Object Generation and Discovery CVPR 2019 Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings ICCV 2019 Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks EMNLP 2019 Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation EMNLP 2019 Fine-Grained Propaganda Detection with Fine-Tuned BERT EMNLP 2019 Fine-Grained Segmentation Networks: Self-Supervised Segmentation for Improved Long-Term Visual Localization ICCV 2019 Fine-Grained Temporal Relation Extraction ACL 2019 Fine-Tuned Neural Models for Propaganda Detection at the Sentence and Fragment levels EMNLP 2019 Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction ACL 2019 Finite-Sample Analysis for SARSA with Linear Function Approximation NeurIPS 2019 Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator NeurIPS 2019 Finite-Time Error Bounds For Linear Stochastic Approximation andTD Learning COLT 2019 Finite-Time Performance Bounds and Adaptive Learning Rate Selection for Two Time-Scale Reinforcement Learning NeurIPS 2019 First-Order Adversarial Vulnerability of Neural Networks and Input Dimension ICML 2019 Fixing Mini-batch Sequences with Hierarchical Robust Partitioning AISTATS 2019 Flattening a Hierarchical Clustering through Active Learning NeurIPS 2019