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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
'20
'25

Papers (including subtopics)

EPOC: Efficient Perception via Optimal Communication AAAI 2020 Equalization Loss for Long-Tailed Object Recognition CVPR 2020 Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization CVPR 2020 ERLP: Ensembles of Reinforcement Learning Policies (Student Abstract) AAAI 2020 ESTeR: Combining Word Co-occurrences and Word Associations for Unsupervised Emotion Detection EMNLP 2020 Estimating Low-Rank Region Likelihood Maps CVPR 2020 Estimating the effect of COVID-19 on mental health: Linguistic indicators of depression during a global pandemic ACL 2020 eTranslation’s Submissions to the WMT 2020 News Translation Task EMNLP 2020 Evade Deep Image Retrieval by Stashing Private Images in the Hash Space CVPR 2020 Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020 Evaluating Attribution Methods using White-Box LSTMs EMNLP 2020 Evaluating Neural Morphological Taggers for Sanskrit ACL 2020 Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation AAAI 2020 Evaluating Word Embeddings for Language Acquisition EMNLP 2020 Evaluation of Transfer Learning for Adverse Drug Event (ADE) and Medication Entity Extraction EMNLP 2020 Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras CVPR 2020 Event-Related Bias Removal for Real-time Disaster Events EMNLP 2020 EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning CVPR 2020 Every Frame Counts: Joint Learning of Video Segmentation and Optical Flow AAAI 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs AAAI 2020 Evolving Losses for Unsupervised Video Representation Learning CVPR 2020 EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering EMNLP 2020 Exchangeable Generative Models with Flow Scans AAAI 2020 Exchangeable Neural ODE for Set Modeling NeurIPS 2020 Exemplar Normalization for Learning Deep Representation CVPR 2020