Daniel Kifer
14 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird 🏃 Academic Marathon (13) 🌍 Conference Polyglot (8) 🌈 Renaissance Researcher (7)
🏃
Academic Marathon
(13)
🐣
Hot Topic Early Bird
🐝
Cross-Pollinator
(14)
🧬
Topic Evolution
🗃️
Keyword Collector
(74)
📈
Trend Setter
💎
Century Club
(14)
🔥
Unstoppable
(5)
🚀
Conference Pioneer
Conferences
NIPS (4)
AAAI (3)
CVPR (2)
AISTATS (1)
COLT (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
differential privacy
(5)
neural network
(2)
convex optimization
(2)
continual learning
(1)
image segmentation
(1)
semi-supervised learning
(1)
semantic segmentation
(1)
bias correction
(1)
mathematical reasoning
(1)
attention mechanism
(1)
adversarial training
(1)
instance segmentation
(1)
high-dimensional statistics
(1)
empirical risk minimization
(1)
sparse regression
(1)
hypothesis testing
(1)
neural network training
(1)
high-dimensional regression
(1)
saliency detection
(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
NIPS 2024
PatchRefineNet: Improving Binary Segmentation by Incorporating Signals From Optimal Patch-Wise Binarization
WACV 2024
Backpropagation-Free Deep Learning with Recursive Local Representation Alignment
AAAI 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
NIPS 2023
Lifelong Neural Predictive Coding: Learning Cumulatively Online without Forgetting
NIPS 2022
An Uncertainty Principle is a Price of Privacy-Preserving Microdata
NIPS 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
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
CVPR 2017
Learning to Extract Semantic Structure From Documents Using Multimodal Fully Convolutional Neural Networks
CVPR 2017
A New Class of Private Chi-Square Hypothesis Tests
AISTATS 2017
Learning to Read Irregular Text with Attention Mechanisms
IJCAI 2017
Private Convex Empirical Risk Minimization and High-dimensional Regression
COLT 2012