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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)

BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels EMNLP 2019 BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling NeurIPS 2019 BLCU-NLP at COIN-Shared Task1: Stagewise Fine-tuning BERT for Commonsense Inference in Everyday Narrations EMNLP 2019 Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR 2019 Blind Super-Resolution With Iterative Kernel Correction CVPR 2019 Block Annotation: Better Image Annotation With Sub-Image Decomposition ICCV 2019 Blocking Bandits NeurIPS 2019 Boosting Character-Based Chinese Speech Synthesis via Multi-Task Learning and Dictionary Tutoring Interspeech 2019 Boosting Entity Linking Performance by Leveraging Unlabeled Documents ACL 2019 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 Boosting for Comparison-Based Learning IJCAI 2019 Boosting Transfer Learning with Survival Data from Heterogeneous Domains AISTATS 2019 Bootstrap Estimated Uncertainty of the Environment Model for Model-Based Reinforcement Learning AAAI 2019 Bootstrapping Conversational Agents with Weak Supervision AAAI 2019 Bootstrapping Upper Confidence Bound NeurIPS 2019 BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle EMNLP 2019 Boundary Perception Guidance: A Scribble-Supervised Semantic Segmentation Approach IJCAI 2019 Bounded Suboptimal Search with Learned Heuristics for Multi-Agent Systems AAAI 2019 Bounding Uncertainty for Active Batch Selection AAAI 2019 Boundless: Generative Adversarial Networks for Image Extension ICCV 2019 BOUN-ISIK Participation: An Unsupervised Approach for the Named Entity Normalization and Relation Extraction of Bacteria Biotopes EMNLP 2019 Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation CVPR 2019 BrainEE at SemEval-2019 Task 3: Ensembling Linear Classifiers for Emotion Prediction SemEval 2019 Breaking the gridlock in Mixture-of-Experts: Consistent and Efficient Algorithms ICML 2019 Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence CVPR 2019