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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)

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels ACL 2025 CoachMe: Decoding Sport Elements with a Reference-Based Coaching Instruction Generation Model ACL 2025 Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model CVPR 2025 CoastalBench: A Decade-Long High-Resolution Dataset to Emulate Complex Coastal Processes ICML 2025 CoAT: Chain-of-Associated-Thoughts Framework for Enhancing Large Language Models Reasoning EMNLP 2025 CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs EMNLP 2025 CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization ICML 2025 CoCoLex: Confidence-guided Copy-based Decoding for Grounded Legal Text Generation ACL 2025 Code Execution as Grounded Supervision for LLM Reasoning EMNLP 2025 CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification AAAI 2025 Code Mix TTS: An Approach to Infer Human Like Speech for Multi-Lingual Input Texts Interspeech 2025 CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation ACL 2025 CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion EMNLP 2025 CoDeR: Counterfactual Demand Reasoning for Sequential Recommendation AAAI 2025 CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation ACL 2025 Code-Switching Curriculum Learning for Multilingual Transfer in LLMs ACL 2025 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 CODI: Compressing Chain-of-Thought into Continuous Space via Self-Distillation EMNLP 2025 Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images MIDL 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 COGNAC at SemEval-2025 Task 10: Multi-level Narrative Classification with Summarization and Hierarchical Prompting SemEval 2025 COGNATE: Acceleration of Sparse Tensor Programs on Emerging Hardware using Transfer Learning ICML 2025 CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information AAAI 2025 Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing AAAI 2025 COIN: Confidence Score-Guided Distillation for Annotation-Free Cell Segmentation ICCV 2025