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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
'20
'25

Papers (including subtopics)

Constrained Density Matching and Modeling for Cross-lingual Alignment of Contextualized Representations ACML 2022 Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks ICML 2022 Construct Effective Geometry Aware Feature Pyramid Network for Multi-Scale Object Detection AAAI 2022 Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation AAAI 2022 CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning ACL 2022 ContentVec: An Improved Self-Supervised Speech Representation by Disentangling Speakers ICML 2022 Context-aware Multimodal Fusion for Emotion Recognition Interspeech 2022 Context-Aware Sequence Alignment Using 4D Skeletal Augmentation CVPR 2022 Context-Aware Transfer Attacks for Object Detection AAAI 2022 Context-Aware Video Reconstruction for Rolling Shutter Cameras CVPR 2022 Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations ACL 2022 Contextual Gradient Scaling for Few-Shot Learning WACV 2022 Contextualized Spatio-Temporal Contrastive Learning With Self-Supervision CVPR 2022 Contextual Outpainting With Object-Level Contrastive Learning CVPR 2022 Contextual Representation Learning beyond Masked Language Modeling ACL 2022 Contextual Similarity Distillation for Asymmetric Image Retrieval CVPR 2022 Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification NeurIPS 2022 ContIG: Self-Supervised Multimodal Contrastive Learning for Medical Imaging With Genetics CVPR 2022 ConTinTin: Continual Learning from Task Instructions ACL 2022 Continual Few-shot Relation Learning via Embedding Space Regularization and Data Augmentation ACL 2022 Continual Learning for Visual Search With Backward Consistent Feature Embedding CVPR 2022 Continual Learning through Retrieval and Imagination AAAI 2022 Continual Learning with Evolving Class Ontologies NeurIPS 2022 Continual Predictive Learning From Videos CVPR 2022 Continual Prompt Tuning for Dialog State Tracking ACL 2022