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Learning Types

32,670 papers (1 classified directly here)

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)
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Papers (including subtopics)

Scaling LLMs’ Social Reasoning: Sprinkle Cognitive “Aha Moment” into Fundamental Long-thought Logical Capabilities ACL 2025 Scaling Low-Resource MT via Synthetic Data Generation with LLMs EMNLP 2025 Scaling Omni-modal Pretraining with Multimodal Context: Advancing Universal Representation Learning Across Modalities ICCV 2025 Scaling pseudo-labeling data for end-to-end low-resource speech translation (the case of Kurdish language) Interspeech 2025 Scaling Supervision for Free: Leveraging Universal Segmentation Models for Enhanced Medical Image Diagnosis MIDL 2025 Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ACL 2025 Scaling up Image Segmentation across Data and Tasks CVPR 2025 SCAN: Bootstrapping Contrastive Pre-training for Data Efficiency ICCV 2025 ScanEZ: Integrating Cognitive Models with Self-Supervised Learning for Spatiotemporal Scanpath Prediction ACL 2025 SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation Steering AAAI 2025 SCAR: Data Selection via Style Consistency-Aware Response Ranking for Efficient Instruction-Tuning of Large Language Models ACL 2025 Scenario Dreamer: Vectorized Latent Diffusion for Generating Driving Simulation Environments CVPR 2025 Scene-Centric Unsupervised Panoptic Segmentation CVPR 2025 SceneGenAgent: Precise Industrial Scene Generation with Coding Agent ACL 2025 SceneSplat: Gaussian Splatting-based Scene Understanding with Vision-Language Pretraining ICCV 2025 SCENT: Robust Spatiotemporal Learning for Continuous Scientific Data via Scalable Conditioned Neural Fields ICML 2025 ScholarGEC: Enhancing Controllability of Large Language Model for Chinese Academic Grammatical Error Correction AAAI 2025 SciBERT Meets Contrastive Learning: A Solution for Scientific Hallucination Detection ACL 2025 Scientific Paper Retrieval with LLM-Guided Semantic-Based Ranking EMNLP 2025 SciVer: Evaluating Foundation Models for Multimodal Scientific Claim Verification ACL 2025 SCKD: Semi-Supervised Cross-Modality Knowledge Distillation for 4D Radar Object Detection AAAI 2025 Score-based Self-supervised MRI Denoising ICLR 2025 ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters AISTATS 2025 SCott: Accelerating Diffusion Models with Stochastic Consistency Distillation AAAI 2025 ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data SemEval 2025