← Authors

Kilian Weinberger

26 papers · 2012–2024 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (10) πŸ—ΊοΈ Taxonomy Completionist (45) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (121) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (26) ⚑ Prolific Year (5)

Conferences

ICML (16) AISTATS (4) NAACL (2) ACL (1) CVPR (1) ECCV (1) ICLR (1)

Top co-authors

Jacob Gardner (7) Matt Kusner (6) Minmin Chen (5) Wenlin Chen (3) Chuan Guo (3) Felix Wu (3) Zhixiang Xu (3) Geoff Pleiss (3) Stephen Tyree (3) Yixin Chen (3)

Research topics

Differential Privacy (1)

Keywords

feature extraction (3) test-time cost (3) bayesian optimization (3) gaussian process (3) hyperparameter tuning (2) model compression (2) adversarial attack (2) representation learning (2) nearest neighbor classification (2) adversarial robustness (1) metropolis-hastings sampling (1) metric learning (1) self-supervised learning (1) constrained generation (1) differential privacy (1) game theory (1) graph representation (1) convex optimization (1) image editing (1) multimodal learning (1)

Papers

Diffusion Guided Language Modeling ACL 2024
Denoising Vision Transformers ECCV 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
Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021
Low-Precision Reinforcement Learning: Running Soft Actor-Critic in Half Precision ICML 2021
Simplifying Graph Convolutional Networks ICML 2019
Simple Black-box Adversarial Attacks ICML 2019
Constant-Time Predictive Distributions for Gaussian Processes ICML 2018
Product Kernel Interpolation for Scalable Gaussian Processes AISTATS 2018
Multi-Scale Dense Networks for Resource Efficient Image Classification ICLR 2018
Discovering and Exploiting Additive Structure for Bayesian Optimization AISTATS 2017
Deep Feature Interpolation for Image Content Changes CVPR 2017
Filtered Search for Submodular Maximization with Controllable Approximation Bounds AISTATS 2015
Differentially Private Bayesian Optimization ICML 2015
From Word Embeddings To Document Distances ICML 2015
Compressing Neural Networks with the Hashing Trick ICML 2015
Stochastic Neighbor Compression ICML 2014
Bayesian Optimization with Inequality Constraints ICML 2014
Marginalized Denoising Auto-encoders for Nonlinear Representations ICML 2014
Anytime Representation Learning ICML 2013
Learning with Marginalized Corrupted Features ICML 2013
Maximum Variance Correction with Application to A* Search ICML 2013
Cost-Sensitive Tree of Classifiers ICML 2013
Fast Image Tagging ICML 2013
Classifier Cascade for Minimizing Feature Evaluation Cost AISTATS 2012