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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)

Leveraging LLM and Self-Supervised Training Models for Speech Recognition in Chinese Dialects: A Comparative Analysis Interspeech 2025 Leveraging LLMs for Written to Spoken Style Data Transformation to Enhance Spoken Dialog State Tracking Interspeech 2025 Leveraging Loanword Constraints for Improving Machine Translation in a Low-Resource Multilingual Context EMNLP 2025 Leveraging Ordinal Information for Speech-based Depression Classification Interspeech 2025 Leveraging Product Catalog Patterns for Multilingual E-commerce Product Attribute Prediction EMNLP 2025 Leveraging SD Map to Augment HD Map-based Trajectory Prediction CVPR 2025 Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs ACL 2025 Leveraging Self-Supervised Learning Based Speaker Diarization for MISP 2025 AVSD Challenge Interspeech 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability ICCV 2025 Leveraging SSL Speech Features and Mamba for Enhanced DeepFake Detection Interspeech 2025 Leveraging Temporal Cues for Semi-Supervised Multi-View 3D Object Detection CVPR 2025 Leveraging Text and Speech Processing for Suicide Risk Classification in Chinese Adolescents Interspeech 2025 Leveraging Text-to-Text Transformers as Classifier Chain for Few-Shot Multi-Label Classification EMNLP 2025 Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection AAAI 2025 Leveraging Unlabeled Audio for Audio-Text Contrastive Learning via Audio-Composed Text Features Interspeech 2025 Leveraging Unlabeled Audio-Visual Data in Speech Emotion Recognition using Knowledge Distillation Interspeech 2025 Leveraging Variation Theory in Counterfactual Data Augmentation for Optimized Active Learning ACL 2025 LEVOS: Leveraging Vocabulary Overlap with Sanskrit to Generate Technical Lexicons in Indian Languages ACL 2025 Lexical Diversity-aware Relevance Assessment for Retrieval-Augmented Generation ACL 2025 Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries ICML 2025 LexiLogic at BEA 2025 Shared Task: Fine-tuning Transformer Language Models for the Pedagogical Skill Evaluation of LLM-based tutors ACL 2025 LexKeyPlan: Planning with Keyphrases and Retrieval Augmentation for Legal Text Generation: A Case Study on European Court of Human Rights Cases ACL 2025 LGA: LLM-GNN Aggregation for Temporal Evolution Attribute Graph Prediction EMNLP 2025 LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews ACL 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025