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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)

Prostate Cancer Detection in Bi-Parametric MRI using Zonal Anatomy-Guided U-Mamba with Multi-Task Learning MIDL 2025 ProtCLIP: Function-Informed Protein Multi-Modal Learning AAAI 2025 Protecting Model Adaptation from Trojans in the Unlabeled Data AAAI 2025 ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation AAAI 2025 Prototype-based Contrastive Learning with Stage-wise Progressive Augmentation for Self-Supervised Fine-Grained Learning ICCV 2025 Prototype-Guided Multimodal Relation Extraction based on Entity Attributes AAAI 2025 Provable Benefits of Task-Specific Prompts for In-context Learning AISTATS 2025 Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection AAAI 2025 Provable Length Generalization in Sequence Prediction via Spectral Filtering ICML 2025 Provable unlearning in topic modeling and downstream tasks ICLR 2025 PRO-VPT: Distribution-Adaptive Visual Prompt Tuning via Prompt Relocation ICCV 2025 Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data ACL 2025 Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025 PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality EMNLP 2025 PruneSLU: Efficient On-device Spoken Language Understanding through Vocabulary and Structural Pruning Interspeech 2025 Pruning Large Language Models with Semi-Structural Adaptive Sparse Training AAAI 2025 PS3: A Multimodal Transformer Integrating Pathology Reports with Histology Images and Biological Pathways for Cancer Survival Prediction ICCV 2025 PS-Diffusion: Photorealistic Subject-Driven Image Editing with Disentangled Control and Attention CVPR 2025 Pseudo Labels-based Neural Speech Enhancement for the AVSR Task in the MISP-Meeting Challenge Interspeech 2025 PS-Mamba: Spatial-Temporal Graph Mamba for Pose Sequence Refinement ICCV 2025 Psych-Occlusion: using Visual Psychophysics for Aerial Detection of Occluded Persons during Search and Rescue WACV 2025 PsyScam: A Benchmark for Psychological Techniques in Real-World Scams EMNLP 2025 PTTA: Purifying Malicious Samples for Test-Time Model Adaptation ICML 2025 Pull It Together: Reducing the Modality Gap in Contrastive Learning Interspeech 2025 PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension ACL 2025