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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)

Grounding Multilingual Multimodal LLMs With Cultural Knowledge EMNLP 2025 Group-Aware Reinforcement Learning for Output Diversity in Large Language Models EMNLP 2025 Group-wise Scaling and Orthogonal Decomposition for Domain-Invariant Feature Extraction in Face Anti-Spoofing ICCV 2025 GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill CVPR 2025 Growing Through Experience: Scaling Episodic Grounding in Language Models ACL 2025 GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models EMNLP 2025 G-Safeguard: A Topology-Guided Security Lens and Treatment on LLM-based Multi-agent Systems ACL 2025 GS-Bias: Global-Spatial Bias Learner for Single-Image Test-Time Adaptation of Vision-Language Models ICML 2025 GSID: Generative Semantic Indexing for E-Commerce Product Understanding EMNLP 2025 GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction WACV 2025 GTA: Supervised-Guided Reinforcement Learning for Text Classification with Large Language Models EMNLP 2025 GTA: Towards Generative Text-To-Audio Retrieval via Multi-Scale Tokenizer Interspeech 2025 GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic AAAI 2025 Guaranteeing Out-Of-Distribution Detection in Deep RL via Transition Estimation AAAI 2025 GuardSplat: Efficient and Robust Watermarking for 3D Gaussian Splatting CVPR 2025 Guiding Noisy Label Conditional Diffusion Models with Score-based Discriminator Correction ICCV 2025 Guiding Vision-Language Model Selection for Visual Question-Answering Across Tasks, Domains, and Knowledge Types COLING 2025 GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent ACL 2025 Gumbel Reranking: Differentiable End-to-End Reranker Optimization ACL 2025 GURecon: Learning Detailed 3D Geometric Uncertainties for Neural Surface Reconstruction AAAI 2025 GVMGen: A General Video-to-Music Generation Model with Hierarchical Attentions AAAI 2025 Habib University at SemEval-2025 Task 9: Using Ensemble Models for Food Hazard Detection SemEval 2025 HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring ACL 2025 HAF-RM: A Hybrid Alignment Framework for Reward Model Training ACL 2025 HAIC: Improving Human Action Understanding and Generation with Better Captions for Multi-modal Large Language Models ACL 2025