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Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

38
179
3,018
5,737
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'15
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'25

Papers (including subtopics)

To Optimize, or Not to Optimize, That Is the Question: TelU-KU Models for WMT21 Large-Scale Multilingual Machine Translation EMNLP 2021 Topological Relational Learning on Graphs NeurIPS 2021 To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning EMNLP 2021 Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers EMNLP 2021 Toward Accurate and Realistic Outfits Visualization With Attention to Details CVPR 2021 Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation CVPR 2021 Toward Realistic Virtual Try-on Through Landmark Guided Shape Matching AAAI 2021 Towards Accurate Text-Based Image Captioning With Content Diversity Exploration CVPR 2021 Towards Balanced Defect Prediction with Better Information Propagation AAAI 2021 Towards Better Explanations of Class Activation Mapping ICCV 2021 Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning CVPR 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 Towards Context-Agnostic Learning Using Synthetic Data NeurIPS 2021 Towards Developing a Multilingual and Code-Mixed Visual Question Answering System by Knowledge Distillation EMNLP 2021 Towards Domain Invariant Single Image Dehazing AAAI 2021 Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning AAAI 2021 Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021 Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021 Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021 Towards Fully Automated Manga Translation AAAI 2021 Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets CVPR 2021 Towards Improving Adversarial Training of NLP Models EMNLP 2021 Towards Label-Agnostic Emotion Embeddings EMNLP 2021 Towards Making the Most of Dialogue Characteristics for Neural Chat Translation EMNLP 2021 Towards Multi-Grained Explainability for Graph Neural Networks NeurIPS 2021