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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Implicit Skills Extraction Using Document Embedding and Its Use in Job Recommendation AAAI 2020 Importance-Aware Learning for Neural Headline Editing AAAI 2020 Improved Few-Shot Visual Classification CVPR 2020 Improved Knowledge Distillation via Teacher Assistant AAAI 2020 Improved Natural Language Generation via Loss Truncation ACL 2020 Improved Speech Enhancement Using a Time-Domain GAN with Mask Learning Interspeech 2020 Improved Speech Representations with Multi-Target Autoregressive Predictive Coding ACL 2020 Improved Visual-Semantic Alignment for Zero-Shot Object Detection AAAI 2020 Improving Action Segmentation via Graph-Based Temporal Reasoning CVPR 2020 Improving Adversarial Text Generation by Modeling the Distant Future ACL 2020 Improving Arabic Text Categorization Using Transformer Training Diversification COLING 2020 Improving Auto-Augment via Augmentation-Wise Weight Sharing NeurIPS 2020 Improving Autoregressive NMT with Non-Autoregressive Model ACL 2020 Improving Code-Switching Language Modeling with Artificially Generated Texts Using Cycle-Consistent Adversarial Networks Interspeech 2020 Improving Detection of Alzheimer’s Disease Using Automatic Speech Recognition to Identify High-Quality Segments for More Robust Feature Extraction Interspeech 2020 Improving Document-Level Neural Machine Translation with Domain Adaptation ACL 2020 Improving Domain-Adapted Sentiment Classification by Deep Adversarial Mutual Learning AAAI 2020 Improving ECG Classification Using Generative Adversarial Networks AAAI 2020 Improving Entity Linking by Modeling Latent Entity Type Information AAAI 2020 Improving Entity Linking through Semantic Reinforced Entity Embeddings ACL 2020 Improving Event Detection via Open-domain Trigger Knowledge ACL 2020 Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples EMNLP 2020 Improving Image Captioning with Better Use of Caption ACL 2020 Improving Joint Training of Inference Networks and Structured Prediction Energy Networks EMNLP 2020 Improving Limited Labeled Dialogue State Tracking with Self-Supervision EMNLP 2020