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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)

Dust-Mamba: An Efficient Dust Storm Detection Network with Multiple Data Sources AAAI 2025 DUT_IR at SemEval-2025 Task 11: Enhancing Multi-Label Emotion Classification with an Ensemble of Pre-trained Language Models and Large Language Models SemEval 2025 DUTJBD at SemEval-2025 Task 3: A Range of Approaches for Predicting Hallucination Generation in Models SemEval 2025 DutyTTE: Deciphering Uncertainty in Origin-Destination Travel Time Estimation AAAI 2025 D.Va: Validate Your Demonstration First Before You Use It ACL 2025 DViN: Dynamic Visual Routing Network for Weakly Supervised Referring Expression Comprehension CVPR 2025 DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features CVPR 2025 DweshVaani: An LLM for Detecting Religious Hate Speech in Code-Mixed Hindi-English COLING 2025 DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models CVPR 2025 DyGMAE: A Novel Dynamic Graph Masked Autoencoder for Link Prediction UAI 2025 DYNAC: Dynamic Vocabulary-based Non-Autoregressive Contextualization for Speech Recognition Interspeech 2025 DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation ICLR 2025 Dynamic Acoustic Model Architecture Optimization in Training for ASR Interspeech 2025 Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning WACV 2025 Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units EMNLP 2025 Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration AAAI 2025 Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025 Dynamic Derivation and Elimination: Audio Visual Segmentation with Enhanced Audio Semantics CVPR 2025 Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-time Open-Vocabulary Object Detection ICCV 2025 Dynamic Entity-Masked Graph Diffusion Model for Histopathology Image Representation Learning AAAI 2025 Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling AAAI 2025 Dynamic Feature Fusion for Sign Language Translation Using HyperNetworks NAACL 2025 Dynamic Multi-Interest Graph Neural Network for Session-Based Recommendation AAAI 2025 Dynamic Neighborhood Modeling via Node-Subgraph Contrastive Learning for Graph-Based Fraud Detection AAAI 2025 Dynamic Order Template Prediction for Generative Aspect-Based Sentiment Analysis ACL 2025