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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
'10
'15
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'25

Papers (including subtopics)

Unsupervised Learning of Object Landmarks via Self-Training Correspondence NeurIPS 2020 Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild CVPR 2020 Unsupervised Magnification of Posture Deviations Across Subjects CVPR 2020 Unsupervised Multilingual Sentence Embeddings for Parallel Corpus Mining ACL 2020 Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation CVPR 2020 Unsupervised Multimodal Neural Machine Translation with Pseudo Visual Pivoting ACL 2020 Unsupervised Natural Language Inference via Decoupled Multimodal Contrastive Learning EMNLP 2020 Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling AAAI 2020 Unsupervised Nonlinear Feature Selection from High-Dimensional Signed Networks AAAI 2020 Unsupervised Opinion Summarization with Noising and Denoising ACL 2020 Unsupervised Paraphasia Classification in Aphasic Speech ACL 2020 Unsupervised Parsing with S-DIORA: Single Tree Encoding for Deep Inside-Outside Recursive Autoencoders EMNLP 2020 Unsupervised Person Re-Identification via Multi-Label Classification CVPR 2020 Unsupervised Question Decomposition for Question Answering EMNLP 2020 Unsupervised Reference-Free Summary Quality Evaluation via Contrastive Learning EMNLP 2020 Unsupervised Representation Learning for Gaze Estimation CVPR 2020 Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning NeurIPS 2020 Unsupervised Vehicle Re-identification with Progressive Adaptation IJCAI 2020 UPennHLP at WNUT-2020 Task 2 : Transformer models for classification of COVID19 posts on Twitter EMNLP 2020 Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion CVPR 2020 Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding AAAI 2020 Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects CVPR 2020 Using BERT for Qualitative Content Analysis in Psychosocial Online Counseling EMNLP 2020 Using Chinese Glyphs for Named Entity Recognition (Student Abstract) AAAI 2020 Using Context in Neural Machine Translation Training Objectives ACL 2020