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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)

Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique EMNLP 2025 FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection ICCV 2025 Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization AAAI 2025 Few-Shot Domain Adaptation for Learned Image Compression AAAI 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 Few-Shot Incremental Learning via Foreground Aggregation and Knowledge Transfer for Audio-Visual Semantic Segmentation AAAI 2025 Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning CVPR 2025 Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes Interspeech 2025 FFSTC 2: Extending the Fongbe to French Speech Translation Corpus ACL 2025 FG^2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching CVPR 2025 Filter-And-Refine: A MLLM Based Cascade System for Industrial-Scale Video Content Moderation ACL 2025 Filter Images First, Generate Instructions Later: Pre-Instruction Data Selection for Visual Instruction Tuning CVPR 2025 Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection AAAI 2025 FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data ICCV 2025 Finding the Sweet Spot: Preference Data Construction for Scaling Preference Optimization ACL 2025 FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity CVPR 2025 Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection ICCV 2025 Fine-Grained Constraint Generation-Verification for Improved Instruction-Following ACL 2025 Fine-Grained Graph Representation Learning for Heterogeneous Mobile Networks with Attentive Fusion and Contrastive Learning AAAI 2025 Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation CVPR 2025 FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs CVPR 2025 FineReason: Evaluating and Improving LLMs’ Deliberate Reasoning through Reflective Puzzle Solving ACL 2025 Fine-Tuned Transformer-Based Weighted Soft Voting Ensemble for Persuasion Technique Classification in Slavic Languages ACL 2025 Fine‐Tuned Transformers for Detection and Classification of Persuasion Techniques in Slavic Languages ACL 2025 Finetune Large Pre-Trained Model Based on Frequency-Wise Multi-Query Attention Pooling for Anomalous Sound Detection Interspeech 2025