Zico Kolter

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 29

Top Topics

Microcalcification Clusters

Fundamental Problem In Computer Vision

Diffusion Models

Top Venues

Publications

Yiming Zhang, Avi Schwarzschild, Nicholas Carlini, Zico Kolter, Daphne Ippolito
Forcing Diffuse Distributions out of Language Models. CoRR (2024)
Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CoRR (2024)
Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan
Predicting the Performance of Foundation Models via Agreement-on-the-Line. CoRR (2024)
Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
Neural Network Verification with Branch-and-Bound for General Nonlinearities. CoRR (2024)
Christina Baek, Zico Kolter, Aditi Raghunathan
Why is SAM Robust to Label Noise? CoRR (2024)
Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR (2024)
Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks
Improving Alignment and Robustness with Circuit Breakers. CoRR (2024)
Mingjie Sun, Zico Kolter
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CoRR (2023)
Mingjie Sun, Zico Kolter
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CVPR (2023)
Rahul Venkatesh, Eric Wong, Zico Kolter
Adversarial robustness in discontinuous spaces via alternating sampling & descent. WACV (2023)
Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR (2023)
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. AISTATS (2023)
Paul Vicol, Zico Kolter, Kevin Swersky
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single. CoRR (2023)
Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR (2023)
Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR (2023)
Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
Provably Bounding Neural Network Preimages. CoRR (2023)
Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, Zico Kolter
Reliable Test-Time Adaptation via Agreement-on-the-Line. CoRR (2023)
Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR (2023)
Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. CoRR (2022)
Sachin Goyal, Mingjie Sun, Aditi Raghunathan, Zico Kolter
Test-Time Adaptation via Conjugate Pseudo-labels. CoRR (2022)
Ashwini Pokle, Zhengyang Geng, Zico Kolter
Deep Equilibrium Approaches to Diffusion Models. CoRR (2022)
Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. CoRR (2022)
Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift. CoRR (2022)
Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn
Learning Options via Compression. CoRR (2022)
Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR (2022)
Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR (2022)
Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi
Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. ECCV (35) (2022)
Leonid Boytsov, Zico Kolter
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. CoRR (2021)
Leonid Boytsov, Zico Kolter
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. ECIR (1) (2021)