conftrace_

Application Areas

31,658 papers (3 classified directly here)

Subtopics

Domain Adaptation (8,962) Efficient Computing (6,898) Data Augmentation (3,720) Fairness (3,511) Knowledge Distillation (3,086) Privacy (2,847) Domain Generalization (1,834) Model Compression (1,718) Risk Management (1,064) Model Merging (558) Recommender Systems (315) Information Retrieval (244) Text Classification (139) Text Processing (5)

Papers per year

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4
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5783
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Papers (including subtopics)

Differentially Private Online Submodular Maximization AISTATS 2021
A Variational Information Bottleneck Approach to Multi-Omics Data Integration AISTATS 2021
On the Privacy Properties of GAN-generated Samples AISTATS 2021
Communication Efficient Primal-Dual Algorithm for Nonconvex Nonsmooth Distributed Optimization AISTATS 2021
Robust and Private Learning of Halfspaces AISTATS 2021
All of the Fairness for Edge Prediction with Optimal Transport AISTATS 2021
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation AISTATS 2021
Free-rider Attacks on Model Aggregation in Federated Learning AISTATS 2021
Thresholded Adaptive Validation: Tuning the Graphical Lasso for Graph Recovery AISTATS 2021
PClean: Bayesian Data Cleaning at Scale with Domain-Specific Probabilistic Programming AISTATS 2021
Counterfactual Representation Learning with Balancing Weights AISTATS 2021
Approximate Data Deletion from Machine Learning Models AISTATS 2021
Stability and Differential Privacy of Stochastic Gradient Descent for Pairwise Learning with Non-Smooth Loss AISTATS 2021
Active Online Learning with Hidden Shifting Domains AISTATS 2021
No-Regret Algorithms for Private Gaussian Process Bandit Optimization AISTATS 2021
vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021
Federated f-Differential Privacy AISTATS 2021
Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models AISTATS 2021
A Theory of Multiple-Source Adaptation with Limited Target Labeled Data AISTATS 2021
Group testing for connected communities AISTATS 2021
Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021
RankDistil: Knowledge Distillation for Ranking AISTATS 2021
Differentially Private Weighted Sampling AISTATS 2021
Shuffled Model of Differential Privacy in Federated Learning AISTATS 2021
Designing Transportable Experiments Under S-admissability AISTATS 2021