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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)

Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning Interspeech 2025 Meta-rater: A Multi-dimensional Data Selection Method for Pre-training Language Models ACL 2025 Meta-Reflection: A Feedback-Free Reflection Learning Framework ACL 2025 MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation ACL 2025 MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning CVPR 2025 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning ICML 2025 MFTIQ: Multi-Flow Tracker with Independent Matching Quality Estimation WACV 2025 MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding ICCV 2025 M-HOF-Opt: Multi-Objective Hierarchical Output Feedback Optimization via Multiplier Induced Loss Landscape Scheduling AISTATS 2025 MI-CAPTCHA: Enhance the Security of CAPTCHA Using Mooney Images AAAI 2025 MICE: Mixture of Image Captioning Experts Augmented e-Commerce Product Attribute Value Extraction ACL 2025 Micro-Act: Mitigate Knowledge Conflict in Question Answering via Actionable Self-Reasoning ACL 2025 MicroEdit: Neuron-level Knowledge Disentanglement and Localization in Lifelong Model Editing EMNLP 2025 MicroFiberDetect: An Application for the Detection of Microfibres in Wastewater Sludge Based on CNNs AAAI 2025 MIDAS: Multi-level Intent, Domain, And Slot Knowledge Distillation for Multi-turn NLU NAACL 2025 Middle-Layer Representation Alignment for Cross-Lingual Transfer in Fine-Tuned LLMs ACL 2025 MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification AAAI 2025 MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space ACL 2025 Mimic Blocker: Self-Supervised Adversarial Training for Voice Conversion Defense with Pretrained Feature Extractors Interspeech 2025 MimicGait: A Model Agnostic Approach for Occluded Gait Recognition using Correlational Knowledge Distillation WACV 2025 MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity AAAI 2025 MIMTrack: In-Context Tracking via Masked Image Modeling AAAI 2025 MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection ACL 2025 MindCustomer: Multi-Context Image Generation Blended with Brain Signal ICML 2025 MindPainter: Efficient Brain-Conditioned Painting of Natural Images via Cross-Modal Self-Supervised Learning AAAI 2025