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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)

SDC-UDA: Volumetric Unsupervised Domain Adaptation Framework for Slice-Direction Continuous Cross-Modality Medical Image Segmentation CVPR 2023 SDFusion: Multimodal 3D Shape Completion, Reconstruction, and Generation CVPR 2023 SE(3) diffusion model with application to protein backbone generation ICML 2023 SEAG: Structure-Aware Event Causality Generation ACL 2023 Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability ACL 2023 Search-Oriented Conversational Query Editing ACL 2023 Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts CVPR 2023 SECAD-Net: Self-Supervised CAD Reconstruction by Learning Sketch-Extrude Operations CVPR 2023 Second Language Acquisition of Neural Language Models ACL 2023 See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection AAAI 2023 Seeing is not always believing: Benchmarking Human and Model Perception of AI-Generated Images NeurIPS 2023 Seeing What You Miss: Vision-Language Pre-Training With Semantic Completion Learning CVPR 2023 Seeing What You Said: Talking Face Generation Guided by a Lip Reading Expert CVPR 2023 Seeing With Sound: Long-range Acoustic Beamforming for Multimodal Scene Understanding CVPR 2023 See Your Emotion from Gait Using Unlabeled Skeleton Data AAAI 2023 SEGA: Structural Entropy Guided Anchor View for Graph Contrastive Learning ICML 2023 SegAugment: Maximizing the Utility of Speech Translation Data with Segmentation-based Augmentations EMNLP 2023 Segment Anything in High Quality NeurIPS 2023 SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation AAAI 2023 Selective Demonstrations for Cross-domain Text-to-SQL EMNLP 2023 Selective Knowledge Distillation for Non-Autoregressive Neural Machine Translation AAAI 2023 Selective Structured State-Spaces for Long-Form Video Understanding CVPR 2023 Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning NeurIPS 2023 Self-adaptive Context and Modal-interaction Modeling For Multimodal Emotion Recognition ACL 2023 Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR 2023