Kilian Weinberger

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

Achievements

+9 more ↓

🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🏃 Academic Marathon (12)

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7) 🧬 Topic Evolution 🗃️ Keyword Collector (121) 🚀 Conference Pioneer 📈 Trend Setter 💎 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