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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Papers (including subtopics)

Private optimization without constraint violations AISTATS 2021
Linear Models are Robust Optimal Under Strategic Behavior AISTATS 2021
Evaluating Model Robustness and Stability to Dataset Shift AISTATS 2021
Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021
Mirror Descent View for Neural Network Quantization AISTATS 2021
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021
Location Trace Privacy Under Conditional Priors AISTATS 2021
Differentially Private Monotone Submodular Maximization Under Matroid and Knapsack Constraints AISTATS 2021
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups AISTATS 2021
Associative Convolutional Layers AISTATS 2021
Sketch based Memory for Neural Networks AISTATS 2021
Fair for All: Best-effort Fairness Guarantees for Classification AISTATS 2021
Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression AISTATS 2021
Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization AISTATS 2021
Dirichlet Pruning for Convolutional Neural Networks AISTATS 2021
Model updating after interventions paradoxically introduces bias AISTATS 2021
LENA: Communication-Efficient Distributed Learning with Self-Triggered Gradient Uploads AISTATS 2021
Improving Classifier Confidence using Lossy Label-Invariant Transformations AISTATS 2021
Does Invariant Risk Minimization Capture Invariance? AISTATS 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! AISTATS 2021
Differentially Private Assouad, Fano, and Le Cam ALT 2021
Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints ALT 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians ALT 2021
Stochastic Dueling Bandits with Adversarial Corruption ALT 2021