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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

1
20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Improving Action Localization by Progressive Cross-Stream Cooperation CVPR 2019 Improving Adversarial Robustness via Guided Complement Entropy ICCV 2019 Improving Adversarial Robustness via Promoting Ensemble Diversity ICML 2019 Improving Black-box Adversarial Attacks with a Transfer-based Prior NeurIPS 2019 Improving classification of Adverse Drug Reactions through Using Sentiment Analysis and Transfer Learning ACL 2019 Improving Cross-Domain Chinese Word Segmentation with Word Embeddings NAACL 2019 Improving Distantly-supervised Entity Typing with Compact Latent Space Clustering NAACL 2019 Improving Distantly-Supervised Relation Extraction with Joint Label Embedding EMNLP 2019 Improving Domain Adaptation Translation with Domain Invariant and Specific Information NAACL 2019 Improving Domain-Specific Classification by Collaborative Learning with Adaptation Networks AAAI 2019 Improving Emotion Identification Using Phone Posteriors in Raw Speech Waveform Based DNN Interspeech 2019 Improving Event Coreference Resolution by Learning Argument Compatibility from Unlabeled Data NAACL 2019 Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis CVPR 2019 Improving GAN with Neighbors Embedding and Gradient Matching AAAI 2019 Improving Generative Visual Dialog by Answering Diverse Questions EMNLP 2019 Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data NAACL 2019 Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019 Improving Image Captioning with Conditional Generative Adversarial Nets AAAI 2019 Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale Interspeech 2019 Improving Large Vocabulary Urdu Speech Recognition System Using Deep Neural Networks Interspeech 2019 Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations ACL 2019 Improving Machine Reading Comprehension with General Reading Strategies NAACL 2019 Improving Mongolian-Chinese Neural Machine Translation with Morphological Noise ACL 2019 Improving Neural Conversational Models with Entropy-Based Data Filtering ACL 2019 Improving Neural Language Modeling via Adversarial Training ICML 2019