Kilian Weinberger
26 papers · 2012–2024 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) 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
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Keyword Pioneer
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Trend Setter
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Renaissance Researcher
(6)
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Conference Pioneer
ποΈ
Keyword Collector
(129)
Top co-authors
Research topics
Machine Learning
(20)
Core Methods
(9)
Artificial Intelligence
(8)
Application Areas
(8)
Deep Learning
(7)
Core AI
(6)
Learning Types
(6)
Optimization & Theory
(6)
Computer Vision
(4)
Natural Language Processing
(4)
Architectures
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Techniques
(3)
Analysis
(2)
Keywords
feature extraction
(3)
gaussian process
(3)
test-time cost
(3)
bayesian optimization
(3)
hyperparameter tuning
(2)
representation learning
(2)
nearest neighbor classification
(2)
adversarial attack
(2)
model compression
(2)
convolutional neural network
(2)
semantic segmentation
(1)
convex optimization
(1)
game theory
(1)
manifold learning
(1)
reinforcement learning
(1)
differential privacy
(1)
black-box optimization
(1)
language modeling
(1)
adversarial robustness
(1)
dialogue generation
(1)
Papers
Denoising Vision Transformers
ECCV 2024
Diffusion Guided Language Modeling
ACL 2024
Re-evaluating the Need for Visual Signals in Unsupervised Grammar Induction
NAACL 2024
Long-term Control for Dialogue Generation: Methods and Evaluation
NAACL 2022
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision
ICML 2021
Making Paper Reviewing Robust to Bid Manipulation Attacks
ICML 2021
Simple Black-box Adversarial Attacks
ICML 2019
Simplifying Graph Convolutional Networks
ICML 2019
Constant-Time Predictive Distributions for Gaussian Processes
ICML 2018
Multi-Scale Dense Networks for Resource Efficient Image Classification
ICLR 2018
Product Kernel Interpolation for Scalable Gaussian Processes
AISTATS 2018
Deep Feature Interpolation for Image Content Changes
CVPR 2017
Discovering and Exploiting Additive Structure for Bayesian Optimization
AISTATS 2017
Compressing Neural Networks with the Hashing Trick
ICML 2015
Differentially Private Bayesian Optimization
ICML 2015
Filtered Search for Submodular Maximization with Controllable Approximation Bounds
AISTATS 2015
From Word Embeddings To Document Distances
ICML 2015
Bayesian Optimization with Inequality Constraints
ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations
ICML 2014
Stochastic Neighbor Compression
ICML 2014
Anytime Representation Learning
ICML 2013
Cost-Sensitive Tree of Classifiers
ICML 2013
Fast Image Tagging
ICML 2013
Learning with Marginalized Corrupted Features
ICML 2013
Maximum Variance Correction with Application to A* Search
ICML 2013
Classifier Cascade for Minimizing Feature Evaluation Cost
AISTATS 2012