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)

PolicyCache: Intra-flow Learning in Congestion Control NSDI 2026 Policy Optimization for Adversarial Linear Mixture MDPs with Unknown Transitions and Bandit Feedback UAI 2026 Policy Optimization for Unknown Systems using Differentiable MPC L4DC 2026 PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit WACV 2026 Positive-Unlabeled Regression: learning from partially labeled quantitative outcomes UAI 2026 Potato 2.0: A Comprehensive Annotation Platform with AI-in-the-Loop Support ACL 2026 Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm AAAI 2026 Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026 Predictive inference for time series: why is split conformal effective despite temporal dependence? ALT 2026 Preference Elicitation for Step-Wise Explanations in Logic Puzzles AAAI 2026 Preference Heads in Large Language Models: A Mechanistic Framework for Interpretable Personalization ACL 2026 Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback AAAI 2026 Premier: Personalized Preference Modulation with Learnable User Embedding in Text-to-Image Generation CVPR 2026 PrevMatch: Revisiting and Maximizing Temporal Knowledge in Semi-Supervised Semantic Segmentation WACV 2026 PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation AAAI 2026 PRISM: Probabilistic Reward Model with Inherent Structural Modeling ACL 2026 Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data AAAI 2026 Private Linear Regression via a Down-Sensitivity to Privacy Reduction COLT 2026 Privately Estimating Black-Box Statistics COLT 2026 Privately Learning Decision Lists and a Differentially Private Winnow ALT 2026 PR-MaGIC: Prompt Refinement Via Mask Decoder Gradient Flow For In-Context Segmentation CVPR 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Probabilistic Precipitation Nowcasting with Rectified Flow Transformers CVPR 2026 Probably Correct Optimal Stable Matching under Two-Sided Uncertainty UAI 2026 Procedure Learning via Regularized Gromov-Wasserstein Optimal Transport WACV 2026