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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)

Each Fake News Is Fake in Its Own Way: An Attribution Multi-Granularity Benchmark for Multimodal Fake News Detection AAAI 2025 EAGLE: Expert-Guided Self-Enhancement for Preference Alignment in Pathology Large Vision-Language Model ACL 2025 Early Concept Drift Detection via Prediction Uncertainty AAAI 2025 Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image Editing ICCV 2025 EASEMVC:Efficient Dual Selection Mechanism for Deep Multi-View Clustering CVPR 2025 Easy as PIE? Identifying Multi-Word Expressions with LLMs EMNLP 2025 EasyCraft: A Robust and Efficient Framework for Automatic Avatar Crafting CVPR 2025 Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents EMNLP 2025 EasyJon at TSAR 2025 Shared Task Evaluation of Automated Text Simplification with LLM-as-a-Judge EMNLP 2025 EasyRec: Simple yet Effective Language Models for Recommendation EMNLP 2025 EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation AAAI 2025 ECC: An Emotion-Cause Conversation Dataset for Empathy Response EMNLP 2025 EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow ICCV 2025 ECG2TOK: ECG Pre-Training with Self-Distillation Semantic Tokenizers IJCAI 2025 EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance CVPR 2025 ECoRAG: Evidentiality-guided Compression for Long Context RAG ACL 2025 EDAR: A pipeline for Emotion and Dialogue Act Recognition COLING 2025 EDFFDNet: Towards Accurate and Efficient Unsupervised Multi-Grid Image Registration ICCV 2025 Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model AAAI 2025 EDGE: Efficient Data Selection for LLM Agents via Guideline Effectiveness IJCAI 2025 EdgeRunner: Auto-regressive Auto-encoder for Artistic Mesh Generation ICLR 2025 EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion AAAI 2025 Edicho: Consistent Image Editing in the Wild ICCV 2025 EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing EMNLP 2025 Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025