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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)

Cross-Modal Fine-Tuning: Align then Refine ICML 2023 Cross-Modal Global Interaction and Local Alignment for Audio-Visual Speech Recognition IJCAI 2023 Cross-Modal Implicit Relation Reasoning and Aligning for Text-to-Image Person Retrieval CVPR 2023 Cross-modality Data Augmentation for End-to-End Sign Language Translation EMNLP 2023 Cross-Modality Earth Mover’s Distance for Visible Thermal Person Re-identification AAAI 2023 Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023 Cross-Modal Label Contrastive Learning for Unsupervised Audio-Visual Event Localization AAAI 2023 CrossSplit: Mitigating Label Noise Memorization through Data Splitting ICML 2023 Cross-View Geo-Localization via Learning Disentangled Geometric Layout Correspondence AAAI 2023 Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-training ACL 2023 Cross-view Semantic Alignment for Livestreaming Product Recognition ICCV 2023 CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model CVPR 2023 C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation CVPR 2023 CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations ICML 2023 CSTAR: Towards Compact and Structured Deep Neural Networks with Adversarial Robustness AAAI 2023 CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation EMNLP 2023 CTW: Confident Time-Warping for Time-Series Label-Noise Learning IJCAI 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 CUDA: Curriculum of Data Augmentation for Long-tailed Recognition ICLR 2023 CUED at ProbSum 2023: Hierarchical Ensemble of Summarization Models ACL 2023 Cultural Compass: Predicting Transfer Learning Success in Offensive Language Detection with Cultural Features EMNLP 2023 Cultural Concept Adaptation on Multimodal Reasoning EMNLP 2023 Curricular Object Manipulation in LiDAR-Based Object Detection CVPR 2023 Curriculum-based Co-design of Morphology and Control of Voxel-based Soft Robots ICLR 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023