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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)

FLOSS: Free Lunch in Open-vocabulary Semantic Segmentation ICCV 2025 Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability ACL 2025 Flow4Agent: Long-form Video Understanding via Motion Prior from Optical Flow ICCV 2025 FLOW-BENCH: Towards Conversational Generation of Enterprise Workflows EMNLP 2025 Flow Factorization for Efficient Generative Flow Networks AAAI 2025 FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture EMNLP 2025 FlowPolicy: Enabling Fast and Robust 3D Flow-Based Policy via Consistency Flow Matching for Robot Manipulation AAAI 2025 FlowTSE: Target Speaker Extraction with Flow Matching Interspeech 2025 FluxSpace: Disentangled Semantic Editing in Rectified Flow Models CVPR 2025 FMD-Mllama at the Financial Misinformation Detection Challenge Task: Multimodal Reasoning and Evidence Generation COLING 2025 Focal Modulation Network: A Novel Solution for Polyphonic Music Instrument Recognition without Attention and Aggregation Strategy Interspeech 2025 FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings ACL 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025 Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation CVPR 2025 FOCUS: Towards Universal Foreground Segmentation AAAI 2025 FOLDER: Accelerating Multi-Modal Large Language Models with Enhanced Performance ICCV 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond AAAI 2025 Foley-Flow: Coordinated Video-to-Audio Generation with Masked Audio-Visual Alignment and Dynamic Conditional Flows CVPR 2025 Following Length Constraints in Instructions EMNLP 2025 FoMo: Multi-Modal, Multi-Scale and Multi-Task Remote Sensing Foundation Models for Forest Monitoring AAAI 2025 Foot-In-The-Door: A Multi-turn Jailbreak for LLMs EMNLP 2025 Forensics Adapter: Adapting CLIP for Generalizable Face Forgery Detection CVPR 2025 Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models CVPR 2025 Forensic Self-Descriptions Are All You Need for Zero-Shot Detection, Open-Set Source Attribution, and Clustering of AI-generated Images CVPR 2025 Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration ICLR 2025