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)

Memory-Efficient Pseudo-Labeling for Online Source-Free Universal Domain Adaptation using a Gaussian Mixture Model WACV 2025 Memory Mosaics ICLR 2025 MENTOR: Human Perception-Guided Pretraining for Increased Generalization WACV 2025 MENTOR: Multi-level Self-supervised Learning for Multimodal Recommendation AAAI 2025 MEraser: An Effective Fingerprint Erasure Approach for Large Language Models ACL 2025 Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models ACL 2025 MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities AAAI 2025 Merge then Realign: Simple and Effective Modality-Incremental Continual Learning for Multimodal LLMs EMNLP 2025 Merging Mechanisms for Ads and Organic Items in E-commerce Platforms AAAI 2025 MERIT: Multi-Agent Collaboration for Unsupervised Time Series Representation Learning ACL 2025 MESC-3D:Mining Effective Semantic Cues for 3D Reconstruction from a Single Image CVPR 2025 MeshMask: Physics-Based Simulations with Masked Graph Neural Networks ICLR 2025 Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space AAAI 2025 Met2Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems ICCV 2025 MetaAlign: Align Large Language Models with Diverse Preferences during Inference Time NAACL 2025 Meta-Continual Learning of Neural Fields ICLR 2025 Metadata Generation for Research Data from URL Citation Contexts in Scholarly Papers: Task Definition and Dataset Construction AACL 2025 MetaFaith: Faithful Natural Language Uncertainty Expression in LLMs EMNLP 2025 Meta Label Correction with Generalization Regularizer IJCAI 2025 Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels ICCV 2025 Meta-Learning for Color-to-Infrared Cross-Modal Style Transfer WACV 2025 Meta-Learning Hyperparameters for Parameter Efficient Fine-Tuning CVPR 2025 Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression AISTATS 2025 Metalic: Meta-Learning In-Context with Protein Language Models ICLR 2025 MetaMixSpeech: Meta Task Augmentation for Low-Resource Speech Recognition EMNLP 2025