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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)

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025 High-Order Consistency-Guided User Identity Linkage with Large Language Model ACML 2025 HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving CVPR 2025 Hindsight Merging: Diverse Data Generation with Language Models UAI 2025 HintsOfTruth: A Multimodal Checkworthiness Detection Dataset with Real and Synthetic Claims ACL 2025 Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models ICML 2025 Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning MIDL 2025 HITSZ’s End-To-End Speech Translation Systems Combining Sequence-to-Sequence Auto Speech Recognition Model and Indic Large Language Model for IWSLT 2025 in Indic Track ACL 2025 HK-GenSpeech: A Generative AI Scene Creation Framework for Speech Based Cognitive Assessment Interspeech 2025 HMCL: Task-Optimal Text Representation Adaptation through Hierarchical Contrastive Learning EMNLP 2025 HMoE: Heterogeneous Mixture of Experts for Language Modeling EMNLP 2025 H-MoRe: Learning Human-centric Motion Representation for Action Analysis CVPR 2025 HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation CVPR 2025 HOIMamba: Efficient Mamba-based Disentangled Progressive Learning for HOI Detection AAAI 2025 Holistic Correction with Object Prototype for Video Object Segmentation AAAI 2025 Holistic Semantic Representation for Navigational Trajectory Generation AAAI 2025 HomoMatcher: Achieving Dense Feature Matching with Semi-Dense Efficiency by Homography Estimation AAAI 2025 HoneypotNet: Backdoor Attacks Against Model Extraction AAAI 2025 HOP: Heterogeneous Topology-based Multimodal Entanglement for Co-Speech Gesture Generation CVPR 2025 HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation ACL 2025 HORP: Human-Object Relation Priors Guided HOI Detection CVPR 2025 Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension ICLR 2025 Howard University-AI4PC at SemEval-2025 Task 10: Ensembling LLMs for Multi-lingual Multi-Label and Multi-Class Meta-Classification SemEval 2025 Howard University - AI4PC at SemEval-2025 Task 3: Logit-based Supervised Token Classification for Multilingual Hallucination Span Identification Using XGBOD SemEval 2025 Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal SemEval 2025