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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)

LaVin-DiT: Large Vision Diffusion Transformer CVPR 2025 Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge EMNLP 2025 LayerDAG: A Layerwise Autoregressive Diffusion Model for Directed Acyclic Graph Generation ICLR 2025 LayerLock: Non-collapsing Representation Learning with Progressive Freezing ICCV 2025 LayerTracer: Cognitive-Aligned Layered SVG Synthesis via Diffusion Transformer ICCV 2025 Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models ICML 2025 Layer-Wise Decision Fusion for Fake Audio Detection Using XLS-R Interspeech 2025 LaySummX at BioLaySumm: Retrieval-Augmented Fine-Tuning for Biomedical Lay Summarization Using Abstracts and Retrieved Full-Text Context ACL 2025 LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing AAAI 2025 LC-Mamba: Local and Continuous Mamba with Shifted Windows for Frame Interpolation CVPR 2025 LCTeam at SemEval-2025 Task 3: Multilingual Detection of Hallucinations and Overgeneration Mistakes Using XLM-RoBERTa SemEval 2025 LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining AAAI 2025 Learn2Synth: Learning Optimal Data Synthesis Using Hypergradients for Brain Image Segmentation ICCV 2025 Learnable Feature Patches and Vectors for Boosting Low-light Image Enhancement without External Knowledge ICCV 2025 Learnable Spatial-Temporal Positional Encoding for Link Prediction ICML 2025 Learn Beneficial Noise as Graph Augmentation ICML 2025 Learned Binocular-Encoding Optics for RGBD Imaging Using Joint Stereo and Focus Cues CVPR 2025 Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation RSS 2025 Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning ICML 2025 Learning Auxiliary Tasks Improves Reference-Free Hallucination Detection in Open-Domain Long-Form Generation ACL 2025 Learning Beyond Still Frames: Scaling Vision-Language Models with Video ICCV 2025 Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation CVPR 2025 Learning Causal Response Representations through Direct Effect Analysis UAI 2025 Learning Class Prototypes for Unified Sparse-Supervised 3D Object Detection CVPR 2025 Learning Compact Semantic Information for Incomplete Multi-View Missing Multi-Label Classification ICML 2025