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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)

COPR: Continual Human Preference Learning via Optimal Policy Regularization ACL 2025 Co-Progression Knowledge Distillation with Knowledge Prototype for Industrial Anomaly Detection AAAI 2025 CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation NAACL 2025 CoRe: Context-Regularized Text Embedding Learning for Text-to-Image Personalization AAAI 2025 Coreference as an indicator of context scope in multimodal narrative ACL 2025 CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models ICML 2025 CoRet: Improved Retriever for Code Editing ACL 2025 Corpus Poisoning via Approximate Greedy Gradient Descent ACL 2025 CorrCLIP: Reconstructing Patch Correlations in CLIP for Open-Vocabulary Semantic Segmentation ICCV 2025 Correcting Deviations from Normality: A Reformulated Diffusion Model for Multi-Class Unsupervised Anomaly Detection CVPR 2025 Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge ACL 2025 Correcting Large Language Model Behavior via Influence Function AAAI 2025 Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data AAAI 2025 Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 COS-DPO: Conditioned One-Shot Multi-Objective Fine-Tuning Framework UAI 2025 COSMIC: Clique-Oriented Semantic Multi-space Integration for Robust CLIP Test-Time Adaptation CVPR 2025 COSMMIC: Comment-Sensitive Multimodal Multilingual Indian Corpus for Summarization and Headline Generation ACL 2025 COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training CVPR 2025 CO-SPY: Combining Semantic and Pixel Features to Detect Synthetic Images by AI CVPR 2025 Costs and Benefits of AI-Enabled Topic Modeling in P-20 Research: The Case of School Improvement Plans ACL 2025 CoT-based Synthesizer: Enhancing LLM Performance through Answer Synthesis ACL 2025 Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models Interspeech 2025 Counterfactual Debiasing for Physical Audiovisual Commonsense Reasoning AAAI 2025 Counterspeech the ultimate shield! Multi-Conditioned Counterspeech Generation through Attributed Prefix Learning ACL 2025