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)

Uncertainty Quantification of Click and Conversion Estimates for the Autobidding UAI 2026 Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics AAAI 2026 Uncovering and Mitigating Transient Blindness in Multimodal Model Editing AAAI 2026 Uncovering Sentiment Analysis Circuit in Large Language Model ACL 2026 UNF-BMI at SemEval-2026 Task 3: Research Domain Criteria-Guided Large Language Models for Dimensional Aspect-Based Sentiment Analysis SemEval 2026 UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization AAAI 2026 UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning AAAI 2026 UniDiff: Parameter-Efficient Adaptation of Diffusion Models for Land Cover Classification with Multi-Modal Remotely Sensed Imagery and Sparse Annotations WACV 2026 Unified Confidence Adjustment for Robust Cross-Modal Retrieval under Test-Time Distribution Shifts UAI 2026 Unified Framework of Distributional Regret in Multi-Armed Bandits and Reinforcement Learning COLT 2026 Unified Representation Causal Prompt Distillation for Re-Inference-Free Lifelong Person Re-Identification AAAI 2026 Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering AAAI 2026 Unifying Locality of KANs and Feature Drift Compensation Projection for Data-Free Replay Based Continual Face Forgery Detection AAAI 2026 UniGaze: Towards Universal Gaze Estimation via Large-scale Pre-Training WACV 2026 UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space AAAI 2026 Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion AAAI 2026 Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing AAAI 2026 Universal-to-Specific: Dynamic Knowledge-Guided Multiple Instance Learning for Few-Shot Whole Slide Image Classification CVPR 2026 UniVid: Unifying Vision Tasks with Pre-trained Video Generation Models WACV 2026 Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening AAAI 2026 Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers AAAI 2026 Unleashing the Unseen: Harnessing Benign Datasets for Jailbreaking Large Language Models EACL 2026 Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception AAAI 2026 Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem AAAI 2026 Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching AAAI 2026