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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)

MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines EMNLP 2025 Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing ICML 2025 Modality-Agnostic Multimodal Emotion Recognition using a Contrastive Masked Autoencoder Interspeech 2025 Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025 Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation WACV 2025 Modality-Specific Speech Enhancement and Noise-Adaptive Fusion for Acoustic and Body-Conduction Microphone Framework Interspeech 2025 Model as Loss: A Self-Consistent Training Paradigm Interspeech 2025 Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds ICLR 2025 ModelCitizens: Representing Community Voices in Online Safety EMNLP 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels AISTATS 2025 Model Extrapolation Expedites Alignment ACL 2025 Model Immunization from a Condition Number Perspective ICML 2025 Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification ACL 2025 Modeling Complex Semantics Relation with Contrastively Fine-Tuned Relational Encoders ACL 2025 Modeling Inter-Intra Heterogeneity for Graph Federated Learning AAAI 2025 Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-identification CVPR 2025 Model Merging for Knowledge Editing ACL 2025 Model Performance-Guided Evaluation Data Selection for Effective Prompt Optimization ACL 2025 Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025 Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws ICML 2025 MODL: Multilearner Online Deep Learning AISTATS 2025 Modular Sentence Encoders: Separating Language Specialization from Cross-Lingual Alignment ACL 2025 MoEdit: On Learning Quantity Perception for Multi-object Image Editing CVPR 2025 MoGe: Unlocking Accurate Monocular Geometry Estimation for Open-Domain Images with Optimal Training Supervision CVPR 2025