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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)

LoRA-MGPO: Mitigating Double Descent in Low-Rank Adaptation via Momentum-Guided Perturbation Optimization EMNLP 2025 LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs CVPR 2025 LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models CVPR 2025 LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks COLING 2025 LoRID: Low-Rank Iterative Diffusion for Adversarial Purification AAAI 2025 LoSA: Long-Short-Range Adapter for Scaling End-to-End Temporal Action Localization WACV 2025 Lost in Literalism: How Supervised Training Shapes Translationese in LLMs ACL 2025 Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models ACL 2025 Lost in Pronunciation: Detecting Chinese Offensive Language Disguised by Phonetic Cloaking Replacement EMNLP 2025 Lost in Translation, Found in Context: Sign Language Translation with Contextual Cues CVPR 2025 LOTA: Bit-Planes Guided AI-Generated Image Detection ICCV 2025 LotusFilter: Fast Diverse Nearest Neighbor Search via a Learned Cutoff Table CVPR 2025 Low-distortion and GPU-compatible Tree Embeddings in Hyperbolic Space ICML 2025 Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm WACV 2025 Low-Light Image Enhancement via Generative Perceptual Priors AAAI 2025 Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025 Low-rank fine-tuning lies between lazy training and feature learning COLT 2025 Low-Rank Tensor Transitions (LoRT) for Transferable Tensor Regression ICML 2025 Low-Resource Interlinear Translation: Morphology-Enhanced Neural Models for Ancient Greek COLING 2025 Loyola at ArchEHR-QA 2025: Exploring Unsupervised Attribution of Generated Text: Attention and Clustering-Based Methods ACL 2025 LPCG: A Self-conditional Architecture for Labeled Point Cloud Generation AAAI 2025 LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation CVPR 2025 LR0.FM: Low-Res Benchmark and Improving robustness for Zero-Shot Classification in Foundation Models ICLR 2025 LRBA: Stealthy Backdoor Attacks on Speech Classification via Latent Rearrangement in VITS Interspeech 2025 LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages AAAI 2025