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)

Optimal Learning of Kernel Logistic Regression for Complex Classification Scenarios ICLR 2025 Optimal Multi-Objective Best Arm Identification with Fixed Confidence AISTATS 2025 Optimal Protocols for Continual Learning via Statistical Physics and Control Theory ICLR 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning JMLR 2025 Optimal Stochastic Trace Estimation in Generative Modeling AISTATS 2025 Optimal Strong Regret and Violation in Constrained MDPs via Policy Optimization ICLR 2025 Optimal Transport Alignment of User Preferences from Ratings and Texts UAI 2025 Optimal Transport for Time Series Imputation ICLR 2025 Optimal Zero-shot Regret Minimization for Selective Classification with Out-of-Distribution Detection UAI 2025 Optimising Factual Consistency in Summarisation via Preference Learning from Multiple Imperfect Metrics EMNLP 2025 Optimising Spatial Teamwork Under Uncertainty AAAI 2025 Optimization before Evaluation: Evaluation with Unoptimized Prompts Can be Misleading ACL 2025 Optimization Over a Probability Simplex JMLR 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval ACL 2025 Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization ICLR 2025 Optimizing Cost-Efficiency with LLM-Generated Training Data for Conversational Semantic Frame Analysis NAACL 2025 Optimizing Data Collection for Machine Learning JMLR 2025 Optimizing Decomposition for Optimal Claim Verification ACL 2025 Optimizing Heat Alert Issuance with Reinforcement Learning AAAI 2025 Optimizing Label Assignment for Weakly Supervised Person Search AAAI 2025 Optimizing Lifelong Fine-Tuning for Multiple Tasks via Dataless Distribution Replay COLING 2025 Optimizing Question Semantic Space for Dynamic Retrieval-Augmented Multi-hop Question Answering ACL 2025 Optimizing Return Distributions with Distributional Dynamic Programming JMLR 2025 Optimizing Vision-Language Model for Road Crossing Intention Estimation WACV 2025