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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

Unsupervised RGB-D Point Cloud Registration for Scenes with Low Overlap and Photometric Inconsistency ICCV 2025 Unsupervised Self-Prior Embedding Neural Representation for Iterative Sparse-View CT Reconstruction AAAI 2025 Unsupervised, Semi-Supervised and LLM-Based Morphological Segmentation for Bribri NAACL 2025 Unsupervised Sentence Readability Estimation Based on Parallel Corpora for Text Simplification ACL 2025 Unsupervised Sentence Representation Learning with Syntactically Aligned Negative Samples NAACL 2025 Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training WACV 2025 Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion CoRL 2025 Unsupervised Sustainability Report Labeling based on the integration of the GRI and SDG standards ACL 2025 Unsupervised Translation of Emergent Communication AAAI 2025 Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence WACV 2025 Unsupervised Visible-Infrared Person Re-identification under Unpaired Settings ICCV 2025 Unsupervised Word-level Quality Estimation for Machine Translation Through the Lens of Annotators (Dis)agreement EMNLP 2025 Untangling the Influence of Typology, Data, and Model Architecture on Ranking Transfer Languages for Cross-Lingual POS Tagging NAACL 2025 Unveiling and Addressing Pseudo Forgetting in Large Language Models ACL 2025 Unveiling Cultural Blind Spots: Analyzing the Limitations of mLLMs in Procedural Text Comprehension ACL 2025 Unveiling Dual Quality in Product Reviews: An NLP-Based Approach ACL 2025 Unveiling Fake News with Adversarial Arguments Generated by Multimodal Large Language Models COLING 2025 Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion AAAI 2025 Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning AAAI 2025 Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation AAAI 2025 Unveiling the Mist over 3D Vision-Language Understanding: Object-centric Evaluation with Chain-of-Analysis CVPR 2025 Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction IJCAI 2025 Unveiling the Power of Source: Source-based Minimum Bayes Risk Decoding for Neural Machine Translation ACL 2025 Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory AISTATS 2025 Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors AAAI 2025