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)

Omniprediction with Long-Term Constraints COLT 2026 On Coresets for End-to-end Learning from Crowds AAAI 2026 OneLIP: Unlocking and Improving Long-Text Representations of CLIP via One-Stage Adaptation AAAI 2026 One Sentence, Two Embeddings: Contrastive Learning of Explicit and Implicit Semantic Representations EACL 2026 One-Shot Fine-Grained Re-Identification of Paint Marked Honey Bees using Vision Foundation Models WACV 2026 One-shot Portrait Stylizaiton via Geometric Alignment WACV 2026 Online Bernstein-von Mises theorem JMLR 2026 OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams AAAI 2026 Online Bootstrap Inference for the Trend of Nonstationary Time Series UAI 2026 Online Convex Optimization with Heavy Tails: Old Algorithms, New Regrets, and Applications ALT 2026 Online Cross-Modal Hashing with Expanding Label Space AAAI 2026 Online Data Curation for Object Detection via Marginal Contributions to Dataset-level Average Precision CVPR 2026 Online Detection of Changes in Moment--Based Projections: When to Retrain Deep Learners or Update Portfolios? JMLR 2026 Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning EACL 2026 Online Learning and Coverage of Unknown Fields Using Random-Feature Gaussian Processes L4DC 2026 Online Learning for Project Selection in Hedonic Project Games UAI 2026 Online Learning for Uninformed Markov Games: Empirical Nash-Value Regret and Non-Stationarity Adaptation COLT 2026 Online Market Making and the Value of Observing the Order Book COLT 2026 Online Multi-Relational Clustering with Dominant View Mining AAAI 2026 Online Polarization Detection in Persian (Farsi) Social Media EACL 2026 Online Realizable Regression and Applications for ReLU Networks COLT 2026 Online Subspace Learning on Flag Manifolds for System Identification L4DC 2026 On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition AAAI 2026 On Randomized Algorithms in Online Strategic Classification COLT 2026 On the Calibration of Image Semi-Supervised Learning Models AAAI 2026