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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)

LLM-Enhanced Self-Evolving Reinforcement Learning for Multi-Step E-Commerce Payment Fraud Risk Detection ACL 2025 LLM-Forest: Ensemble Learning of LLMs with Graph-Augmented Prompts for Data Imputation ACL 2025 LLM-Guided Semantic-Aware Clustering for Topic Modeling ACL 2025 LLMInit: A Free Lunch from Large Language Models for Selective Initialization of Recommendation EMNLP 2025 LLM×MapReduce-V3: Enabling Interactive In-Depth Survey Generation through a MCP-Driven Hierarchically Modular Agent System EMNLP 2025 LLM-Mixer: Multiscale Mixing in LLMs for Time Series Forecasting ACL 2025 LLM-Powered User Simulator for Recommender System AAAI 2025 LLM Roleplay: Simulating Human-Chatbot Interaction ACL 2025 LLMsAgainstHate@NLU of Devanagari Script Languages 2025: Hate Speech Detection and Target Identification in Devanagari Languages via Parameter Efficient Fine-Tuning of LLMs COLING 2025 LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition EMNLP 2025 LLMs are Biased Evaluators But Not Biased for Fact-Centric Retrieval Augmented Generation ACL 2025 LLMs for Detection and Classification of Persuasion Techniques in Slavic Parliamentary Debates and Social Media Texts ACL 2025 LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection ACL 2025 LLMs + Persona-Plug = Personalized LLMs ACL 2025 LLMSR@XLLM25: An Empirical Study of LLM for Structural Reasoning ACL 2025 LLM The Genius Paradox: A Linguistic and Math Expert’s Struggle with Simple Word-based Counting Problems NAACL 2025 LMEraser: Large Model Unlearning via Adaptive Prompt Tuning AISTATS 2025 LMU at PerAnsSumm 2025: LlaMA-in-the-loop at Perspective-Aware Healthcare Answer Summarization Task 2.2 Factuality NAACL 2025 Locality-Aware Zero-Shot Human-Object Interaction Detection CVPR 2025 Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation CVPR 2025 Localizing Events in Videos with Multimodal Queries CVPR 2025 Local Masked Reconstruction for Efficient Self-Supervised Learning on High-Resolution Images WACV 2025 Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression ICLR 2025 Locate-and-Focus: Enhancing Terminology Translation in Speech Language Models ACL 2025 LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models ICCV 2025