conftrace_

Machine Learning

132,800 papers (10 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (56,253) Core Methods (51,083) Optimization & Theory (43,292) Application Areas (34,437) Bayesian & Probabilistic (4,733) Learning Paradigms (2,205)

Papers per year

5

22

43

74

52

76

308

315

348

358

533

570

711

1,481

1,361

1,651

2,440

3,865

5,968

9,301

11,133

13,312

14,452

17,500

20,351

21,167

5,403

2000

'5

'10

'15

'20

'25

Papers (including subtopics)

Differential Alignment for Domain Adaptive Object Detection AAAI 2025 Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning ICCV 2025 Differential learning kinetics govern the transition from memorization to generalization during in-context learning ICLR 2025 Differentially private algorithms for linear queries via stochastic convex optimization AISTATS 2025 Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference ICML 2025 Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies JMLR 2025 Differentially Private Continual Release of Histograms and Related Queries AISTATS 2025 Differentially Private Federated k-Means Clustering with Server-Side Data ICML 2025 Differentially Private Federated Learning with Time-Adaptive Privacy Spending ICLR 2025 Differentially Private Fine-Tuning of Diffusion Models ICCV 2025 Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-Based Human Activity Recognition WACV 2025 Differentially Private Kernelized Contextual Bandits AISTATS 2025 Differentially private learners for heterogeneous treatment effects ICLR 2025 Differentially Private Learning Needs Better Model Initialization and Self-Distillation NAACL 2025 Differentially Private Multivariate Medians JMLR 2025 Differentially private optimization for non-decomposable objective functions ICLR 2025 Differentially Private Prototypes for Imbalanced Transfer Learning AAAI 2025 Differentially Private Range Queries with Correlated Input Perturbation AISTATS 2025 Differentially Private Steering for Large Language Model Alignment ICLR 2025 Differential Mamba IJCNLP 2025 Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms ICML 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Differential Privacy Mechanisms in Neural Tangent Kernel Regression WACV 2025 Differential Privacy Under Class Imbalance: Methods and Empirical Insights ICML 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025