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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)

RaDIO: Real-Time Hallucination Detection with Contextual Index Optimized Query Formulation for Dynamic Retrieval Augmented Generation AAAI 2025 RadQA-DPO: A Radiology Question Answering System with Encoder-Decoder Models Enhanced by Direct Preference Optimization ACL 2025 RAD: Region-Aware Diffusion Models for Image Inpainting CVPR 2025 RAED: Retrieval-Augmented Entity Description Generation for Emerging Entity Linking and Disambiguation EMNLP 2025 RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning Based on Emotional Information ACL 2025 RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection CVPR 2025 RAG and Recall: Multilingual Hate Speech Detection with Semantic Memory ACL 2025 RAG based Question Answering of Korean Laws and Precedents ACL 2025 RAG-Critic: Leveraging Automated Critic-Guided Agentic Workflow for Retrieval Augmented Generation ACL 2025 RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning EMNLP 2025 RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework ACL 2025 RAGG: Retrieval-Augmented Grasp Generation Model AAAI 2025 RAGulator: Lightweight Out-of-Context Detectors for Grounded Text Generation EMNLP 2025 RAG-Zeval: Enhancing RAG Responses Evaluator through End-to-End Reasoning and Ranking-Based Reinforcement Learning EMNLP 2025 Random at GenAI Detection Task 3: A Hybrid Approach to Cross-Domain Detection of Machine-Generated Text with Adversarial Attack Mitigation COLING 2025 Random Conditioning for Diffusion Model Compression with Distillation CVPR 2025 Randomly Removing 50% of Dimensions in Text Embeddings has Minimal Impact on Retrieval and Classification Tasks EMNLP 2025 Rank-Awareness and Angular Constraints: A New Perspective on Learning Sentence Embeddings from NLI Data EMNLP 2025 RANKCLIP: Ranking-Consistent Language-Image Pretraining ICCV 2025 RankCoT: Refining Knowledge for Retrieval-Augmented Generation through Ranking Chain-of-Thoughts ACL 2025 RapFlow-TTS: Rapid and High-Fidelity Text-to-Speech with Improved Consistency Flow Matching Interspeech 2025 RareSyn: Health Record Synthesis for Rare Disease Diagnosis EMNLP 2025 RASD: Retrieval-Augmented Speculative Decoding ACL 2025 RA-SGG: Retrieval-Augmented Scene Graph Generation Framework via Multi-Prototype Learning AAAI 2025 RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors AAAI 2025