Skip to content
conftrace_

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)
1
20
220
477
4,652
9,258
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning AAAI 2025 Personalized Learning in Action: Exploring AI and Robotics for Early Childhood Education AAAI 2025 Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language AAAI 2025 Personalized LLM Decoding via Contrasting Personal Preference EMNLP 2025 Personalized Preference Fine-tuning of Diffusion Models CVPR 2025 Personalized Representation from Personalized Generation ICLR 2025 Personalized Sleep Staging Leveraging Source-free Unsupervised Domain Adaptation AAAI 2025 Personalized Text Generation with Contrastive Activation Steering ACL 2025 Personalized Visual Instruction Tuning ICLR 2025 Personalize Your LLM: Fake it then Align it NAACL 2025 Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning AISTATS 2025 Personal Travel Solver: A Preference-Driven LLM-Solver System for Travel Planning ACL 2025 Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents NAACL 2025 PersonaTwin: A Multi-Tier Prompt Conditioning Framework for Generating and Evaluating Personalized Digital Twins ACL 2025 PersonaX: A Recommendation Agent-Oriented User Modeling Framework for Long Behavior Sequence ACL 2025 Person De-reidentification: A Variation-guided Identity Shift Modeling CVPR 2025 Perspective-Aware Teaching: Adapting Knowledge for Heterogeneous Distillation ICCV 2025 Perspective: Leveraging Domain Knowledge for Tabular Machine Learning in the Medical Domain ACL 2025 PerspectiveMod: A Perspectivist Resource for Deliberative Moderation EMNLP 2025 PerSphere: A Comprehensive Framework for Multi-Faceted Perspective Retrieval and Summarization ACL 2025 Perturbation-Restrained Sequential Model Editing ICLR 2025 PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training ICLR 2025 PetEVAL: A veterinary free text electronic health records benchmark ACL 2025 PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers AAAI 2025 pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025