Zico Kolter - RankMe

43 papers A* 6A 2Journal 32Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	How Vulnerable Are AI Agents to Indirect Prompt Injections? Insights from a Large-Scale Public Competition. CoRR Mateusz Dziemian, Maxwell Lin, Xiaohan Fu, Micha Nowak, Nick Winter, Eliot Krzysztof Jones, Andy Zou, Lama Ahmad, Kamalika Chaudhuri, Sahana Chennabasappa, Xander Davies, Lauren Deason, Benjamin L. Edelman, Tanner Emek, Ivan Evtimov, Jim Gust, Maia Hamin, Kat He, Klaudia Krawiecka, Riccardo Patana, Neil Perry, Troy Peterson, Xiangyu Qi, Javier Rando, Zifan Wang, Zihan Wang, Spencer Whitman, Eric Winsor, Arman Zharmagambetov, Matt Fredrikson, Zico Kolter
2025	J	`jnl`	A Vision for Computational Decarbonization of Societal Infrastructure. IEEE Internet Comput. David Irwin, Prashant J. Shenoy, Mohammad Hajiesmaili, Walid A. Hanafy, Jimi Oke, Ramesh K. Sitaraman, Yuvraj Agarwal, Geoffrey J. Gordon, Zico Kolter, Deepak Rajagopal, Mani Srivastava, Vivienne Sze, Priya L. Donti, Andrew A. Chien, John R. Birge, Ali Hortaçsu, Line Roald
2025	J	`jnl`	Contextures: Representations from Contexts. CoRR Runtian Zhai, Kai Yang, Che-Ping Tsai, Burak Varici, Zico Kolter, Pradeep Ravikumar
2025	—	`conf`	Neural Network Verification with Branch-and-Bound for General Nonlinearities. TACAS (1) Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
2025	J	`jnl`	Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning. CoRR Yixuan Even Xu, Yash Savani, Fei Fang, Zico Kolter
2025	J	`jnl`	OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents. CoRR Thomas Kuntz, Agatha Duzan, Hao Zhao, Francesco Croce, Zico Kolter, Nicolas Flammarion, Maksym Andriushchenko
2025	A*	`ed.`	Thirty-Ninth AAAI Conference on Artificial Intelligence, Thirty-Seventh Conference on Innovative Applications of Artificial Intelligence, Fifteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2025, Philadelphia, PA, USA, February 25 - March 4, 2025 AAAI Toby Walsh, Julie Shah, Zico Kolter
2025	J	`jnl`	Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models. CoRR Sarah Ball, Niki Hasrati, Alexander Robey, Avi Schwarzschild, Frauke Kreuter, Zico Kolter, Andrej Risteski
2025	J	`jnl`	Weight Ensembling Improves Reasoning in Language Models. CoRR Xingyu Dang, Christina Baek, Kaiyue Wen, Zico Kolter, Aditi Raghunathan
2024	J	`jnl`	AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. CoRR Maksym Andriushchenko, Alexandra Souly, Mateusz Dziemian, Derek Duenas, Maxwell Lin, Justin Wang, Dan Hendrycks, Andy Zou, Zico Kolter, Matt Fredrikson, Eric Winsor, Jerome Wynne, Yarin Gal, Xander Davies
2024	A*	`conf`	DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CVPR Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe
2024	J	`jnl`	DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe
2024	J	`jnl`	Forcing Diffuse Distributions out of Language Models. CoRR Yiming Zhang, Avi Schwarzschild, Nicholas Carlini, Zico Kolter, Daphne Ippolito
2024	A*	`ed.`	Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024 ICML Ruslan Salakhutdinov, Zico Kolter, Katherine A. Heller, Adrian Weller, Nuria Oliver, Jonathan Scarlett, Felix Berkenkamp
2024	A*	`conf`	From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CVPR Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter
2024	J	`jnl`	From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CoRR Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter
2024	J	`jnl`	Improving Alignment and Robustness with Circuit Breakers. CoRR Andy Zou, Long Phan, Justin Wang, Derek Duenas, Maxwell Lin, Maksym Andriushchenko, Rowan Wang, Zico Kolter, Matt Fredrikson, Dan Hendrycks
2024	J	`jnl`	Neural Network Verification with Branch-and-Bound for General Nonlinearities. CoRR Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang
2024	J	`jnl`	Predicting the Performance of Foundation Models via Agreement-on-the-Line. CoRR Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan
2024	J	`jnl`	Understanding Optimization in Deep Learning with Central Flows. CoRR Jeremy Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason D. Lee
2024	J	`jnl`	Why is SAM Robust to Label Noise? CoRR Christina Baek, Zico Kolter, Aditi Raghunathan
2023	A	`conf`	Adversarial robustness in discontinuous spaces via alternating sampling & descent. WACV Rahul Mysore Venkatesh, Eric Wong, Zico Kolter
2023	A*	`conf`	Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
2023	J	`jnl`	Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter
2023	J	`jnl`	Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan
2023	A	`conf`	Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. AISTATS Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
2023	J	`jnl`	Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single. CoRR Paul Vicol, Zico Kolter, Kevin Swersky
2023	J	`jnl`	Provably Bounding Neural Network Preimages. CoRR Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang
2023	J	`jnl`	Reliable Test-Time Adaptation via Agreement-on-the-Line. CoRR Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, Zico Kolter
2023	A*	`conf`	Single Image Backdoor Inversion via Robust Smoothed Classifiers. CVPR Mingjie Sun, Zico Kolter
2023	J	`jnl`	Single Image Backdoor Inversion via Robust Smoothed Classifiers. CoRR Mingjie Sun, Zico Kolter
2023	J	`jnl`	Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar
2022	J	`jnl`	Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift. CoRR Christina Baek, Yiding Jiang, Aditi Raghunathan, Zico Kolter
2022	J	`jnl`	Deep Equilibrium Approaches to Diffusion Models. CoRR Ashwini Pokle, Zhengyang Geng, Zico Kolter
2022	J	`jnl`	Finetune like you pretrain: Improved finetuning of zero-shot vision models. CoRR Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan
2022	J	`jnl`	Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. CoRR Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter
2022	J	`jnl`	Learning Options via Compression. CoRR Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, Zico Kolter, Chelsea Finn
2022	J	`jnl`	Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. CoRR Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, Zico Kolter, Roger B. Grosse
2022	J	`jnl`	Test-Time Adaptation via Conjugate Pseudo-labels. CoRR Sachin Goyal, Mingjie Sun, Aditi Raghunathan, Zico Kolter
2022	—	`conf`	Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. ECCV (35) Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Jürgen Gall, Mehdi Noroozi
2022	J	`jnl`	Unified Fully and Timestamp Supervised Temporal Action Segmentation via Sequence to Sequence Translation. CoRR Nadine Behrmann, S. Alireza Golestaneh, Zico Kolter, Juergen Gall, Mehdi Noroozi
2021	—	`conf`	Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. ECIR (1) Leonid Boytsov, Zico Kolter
2021	J	`jnl`	Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits. CoRR Leonid Boytsov, Zico Kolter