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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)

A Query-Response Framework for Whole-Page Complex-Layout Document Image Translation with Relevant Regional Concentration ACL 2025 AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025 Arbitrary Reading Order Scene Text Spotter with Local Semantics Guidance AAAI 2025 Archaeology at BEA 2025 Shared Task: Are Simple Baselines Good Enough? ACL 2025 ArchiDocGen: Multi-Agent Framework for Expository Document Generation in the Architectural Industry ACL 2025 A Reality Check on Context Utilisation for Retrieval-Augmented Generation ACL 2025 A Reality Check on Pre-training for Exemplar-free Class-Incremental Learning WACV 2025 Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? ACL 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 A Regional-Level Resource-Saving Model for Winter Road Surface Snow Detection in Extreme Weathers WACV 2025 A Regularization-Guided Equivariant Approach for Image Restoration CVPR 2025 Are LLMs effective psychological assessors? Leveraging adaptive RAG for interpretable mental health screening through psychometric practice ACL 2025 Are Vision-Language Models Safe in the Wild? A Meme-Based Benchmark Study EMNLP 2025 Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data and Metric Perspectives ICCV 2025 Are You Trying to Convince Me or Are You Trying to Deceive Me? Using Argumentation Types to Identify Deceptive News ACL 2025 Argumentative Fallacy Detection in Political Debates ACL 2025 Argus: A Compact and Versatile Foundation Model for Vision CVPR 2025 ARiSE: Auto-Regressive Multi-Channel Speech Enhancement Interspeech 2025 ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search ACL 2025 ARKit LabelMaker: A New Scale for Indoor 3D Scene Understanding CVPR 2025 ARMR: Adaptively Responsive Network for Medication Recommendation IJCAI 2025 ARNet: Self-Supervised FG-SBIR with Unified Sample Feature Alignment and Multi-Scale Token Recycling AAAI 2025 ArtEditor: Learning Customized Instructional Image Editor from Few-Shot Examples ICCV 2025 ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025 ASAP: Advancing Semantic Alignment Promotes Multi-Modal Manipulation Detecting and Grounding CVPR 2025