Daniel Kifer
14 papers · 2012–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (33) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Topic Evolution
ποΈ
Keyword Collector
(80)
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Trend Setter
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
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Unstoppable Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(14)
Learning Types Β· Machine Learning
(7)
Deep Learning
(5)
Application Areas
(5)
Architectures
(5)
Artificial Intelligence
(4)
Computer Vision
(4)
Mathematics & Optimization
(3)
Core AI
(3)
Core Methods
(3)
Optimization & Theory
(3)
Processing
(3)
Analysis
(2)
Learning Types Β· Deep Learning
(2)
Optimization
(2)
Keywords
differential privacy
(5)
neural network
(2)
convex optimization
(2)
continual learning
(1)
image segmentation
(1)
semi-supervised learning
(1)
semantic segmentation
(1)
sparse regression
(1)
mathematical reasoning
(1)
attention mechanism
(1)
adversarial training
(1)
instance segmentation
(1)
neural network optimization
(1)
high-dimensional statistics
(1)
hypothesis testing
(1)
empirical risk minimization
(1)
neural network training
(1)
bias correction
(1)
high-dimensional regression
(1)
catastrophic forgetting
(1)
Papers
Sensitivity-Constrained Fourier Neural Operators for Forward and Inverse Problems in Parametric Differential Equations
ICLR 2025
Efficient and Private Marginal Reconstruction with Local Non-Negativity
NeurIPS 2024
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization
WACV 2024
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
NeurIPS 2023
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
NeurIPS 2022
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
NeurIPS 2021
Recognizing and Verifying Mathematical Equations using Multiplicative Differential Neural Units
AAAI 2021
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
AAAI 2019
A New Class of Private Chi-Square Hypothesis Tests
AISTATS 2017
Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks
CVPR 2017
Learning to Read Irregular Text with Attention Mechanisms
IJCAI 2017
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
CVPR 2017
Private Convex Empirical Risk Minimization and High-dimensional Regression
COLT 2012