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ORCIDJ. Zico Kolter
Zico Kolter – Jeremy Z. Kolter
Person information
- affiliation: Carnegie Mellon University, PA, USA
- affiliation (former): MIT Computer Science and Artificial Intelligence Laboratory, Cambridge, USA
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2020 – today
- 2024
[j9]Zhili Feng, Anna Bair, J. Zico Kolter:
Text Descriptions are Compressive and Invariant Representations for Visual Learning. Trans. Mach. Learn. Res. 2024 (2024)- [c154]Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter:
Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic. CVPR 2024: 22702-22711 - [c153]Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CVPR 2024: 24118-24129 - [c152]Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen, Zachary Manchester, Zico Kolter:
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers. CVPR 2024: 27497-27506 - [c151]Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter:
Understanding prompt engineering may not require rethinking generalization. ICLR 2024 - [c150]Christina Baek, J. Zico Kolter, Aditi Raghunathan:
Why is SAM Robust to Label Noise? ICLR 2024 - [c149]Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon:
Manifold Preserving Guided Diffusion. ICLR 2024 - [c148]Yiding Jiang, Christina Baek, J. Zico Kolter:
On the Joint Interaction of Models, Data, and Features. ICLR 2024 - [c147]Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. ICLR 2024 - [c146]Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown:
The Update-Equivalence Framework for Decision-Time Planning. ICLR 2024 - [c145]Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter:
A Simple and Effective Pruning Approach for Large Language Models. ICLR 2024 - [c144]Runtian Zhai, Bingbin Liu, Andrej Risteski, J. Zico Kolter, Pradeep Kumar Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression. ICLR 2024 - [i159]Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter:
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR abs/2401.06121 (2024) - [i158]Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter:
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR abs/2401.06890 (2024) - [i157]Zhengyang Geng, Ashwini Pokle, J. Zico Kolter:
One-Step Diffusion Distillation via Deep Equilibrium Models. CoRR abs/2401.08639 (2024) - [i156]Dylan Sam, Rattana Pukdee, Daniel P. Jeong, Yewon Byun, J. Zico Kolter:
Bayesian Neural Networks with Domain Knowledge Priors. CoRR abs/2402.13410 (2024) - [i155]Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu:
Massive Activations in Large Language Models. CoRR abs/2402.17762 (2024) - [i154]Victor Akinwande, J. Zico Kolter:
AcceleratedLiNGAM: Learning Causal DAGs at the speed of GPUs. CoRR abs/2403.03772 (2024) - [i153]Tianshu Huang, John Miller, Akarsh Prabhakara, Tao Jin, Tarana Laroia, Zico Kolter, Anthony Rowe:
DART: Implicit Doppler Tomography for Radar Novel View Synthesis. CoRR abs/2403.03896 (2024) - [i152]Yutong He, Alexander Robey, Naoki Murata, Yiding Jiang, Joshua Williams, George J. Pappas, Hamed Hassani, Yuki Mitsufuji, Ruslan Salakhutdinov, J. Zico Kolter:
Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation. CoRR abs/2403.19103 (2024) - [i151]Aman Mehra, Rahul Saxena, Taeyoun Kim, Christina Baek, Zico Kolter, Aditi Raghunathan:
Predicting the Performance of Foundation Models via Agreement-on-the-Line. CoRR abs/2404.01542 (2024) - [i150]Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter:
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic. CoRR abs/2404.07177 (2024) - [i149]Yiming Zhang, Avi Schwarzschild, Nicholas Carlini, Zico Kolter, Daphne Ippolito:
Forcing Diffuse Distributions out of Language Models. CoRR abs/2404.10859 (2024) - [i148]Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter:
Rethinking LLM Memorization through the Lens of Adversarial Compression. CoRR abs/2404.15146 (2024) - [i147]Christina Baek, Zico Kolter, Aditi Raghunathan:
Why is SAM Robust to Label Noise? CoRR abs/2405.03676 (2024) - [i146]Samuel Sokota, Dylan Sam, Christian Schröder de Witt, Spencer Compton, Jakob N. Foerster, J. Zico Kolter:
Computing Low-Entropy Couplings for Large-Support Distributions. CoRR abs/2405.19540 (2024) - [i145]Zhouxing Shi, Qirui Jin, Zico Kolter, Suman Jana, Cho-Jui Hsieh, Huan Zhang:
Neural Network Verification with Branch-and-Bound for General Nonlinearities. CoRR abs/2405.21063 (2024) - [i144]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 abs/2406.04313 (2024) - [i143]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 abs/2406.07785 (2024) - [i142]Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter:
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR abs/2406.09358 (2024) - [i141]Zhengyang Geng, Ashwini Pokle, William Luo, Justin Lin, J. Zico Kolter:
Consistency Models Made Easy. CoRR abs/2406.14548 (2024) - [i140]Joshua Nathaniel Williams, J. Zico Kolter:
FUSE-ing Language Models: Zero-Shot Adapter Discovery for Prompt Optimization Across Tokenizers. CoRR abs/2408.04816 (2024) - [i139]Joshua Nathaniel Williams, Avi Schwarzschild, J. Zico Kolter:
Prompt Recovery for Image Generation Models: A Comparative Study of Discrete Optimizers. CoRR abs/2408.06502 (2024) - [i138]Aviv Bick, Kevin Y. Li, Eric P. Xing, J. Zico Kolter, Albert Gu:
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models. CoRR abs/2408.10189 (2024) - [i137]Dylan Sam, Devin Willmott, João D. Semedo, J. Zico Kolter:
Finetuning CLIP to Reason about Pairwise Differences. CoRR abs/2409.09721 (2024) - [i136]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:
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents. CoRR abs/2410.09024 (2024) - [i135]Sachin Goyal, Christina Baek, J. Zico Kolter, Aditi Raghunathan:
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance. CoRR abs/2410.10796 (2024) - [i134]Asher Trockman, Hrayr Harutyunyan, J. Zico Kolter, Sanjiv Kumar, Srinadh Bhojanapalli:
Mimetic Initialization Helps State Space Models Learn to Recall. CoRR abs/2410.11135 (2024) - [i133]Yiding Jiang, Allan Zhou, Zhili Feng, Sadhika Malladi, J. Zico Kolter:
Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws. CoRR abs/2410.11820 (2024) - [i132]Joshua Nathaniel Williams, Anurag Katakkar, Hoda Heidari, J. Zico Kolter:
Rethinking Distance Metrics for Counterfactual Explainability. CoRR abs/2410.14522 (2024) - [i131]Weijian Luo, Zemin Huang, Zhengyang Geng, J. Zico Kolter, Guo-Jun Qi:
One-Step Diffusion Distillation through Score Implicit Matching. CoRR abs/2410.16794 (2024) - [i130]Jeremy Cohen, Alex Damian, Ameet Talwalkar, Zico Kolter, Jason D. Lee:
Understanding Optimization in Deep Learning with Central Flows. CoRR abs/2410.24206 (2024) - 2023
- [j8]Zhili Feng, Ezra Winston, J. Zico Kolter:
Monotone deep Boltzmann machines. Trans. Mach. Learn. Res. 2023 (2023) - [j7]Asher Trockman, J. Zico Kolter:
Patches Are All You Need? Trans. Mach. Learn. Res. 2023 (2023) - [c143]Chun Kai Ling, J. Zico Kolter, Fei Fang:
Function Approximation for Solving Stackelberg Equilibrium in Large Perfect Information Games. AAAI 2023: 5764-5772 - [c142]Dylan Sam, J. Zico Kolter:
Losses over Labels: Weakly Supervised Learning via Direct Loss Construction. AAAI 2023: 9695-9703 - [c141]Sina Baharlouei, Fatemeh Sheikholeslami, Meisam Razaviyayn, Zico Kolter:
Improving Adversarial Robustness via Joint Classification and Multiple Explicit Detection Classes. AISTATS 2023: 11059-11078 - [c140]Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CVPR 2023: 8113-8122 - [c139]Sachin Goyal, Ananya Kumar, Sankalp Garg, Zico Kolter, Aditi Raghunathan:
Finetune like you pretrain: Improved finetuning of zero-shot vision models. CVPR 2023: 19338-19347 - [c138]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP 2023: 9266-9286 - [c137]Filipe de Avila Belbute-Peres, J. Zico Kolter:
Simple initialization and parametrization of sinusoidal networks via their kernel bandwidth. ICLR 2023 - [c136]Nicholas Carlini, Florian Tramèr, Krishnamurthy (Dj) Dvijotham, Leslie Rice, Mingjie Sun, J. Zico Kolter:
(Certified!!) Adversarial Robustness for Free! ICLR 2023 - [c135]Samuel Sokota, Ryan D'Orazio, J. Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer:
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games. ICLR 2023 - [c134]Asher Trockman, Devin Willmott, J. Zico Kolter:
Understanding the Covariance Structure of Convolutional Filters. ICLR 2023 - [c133]Christian Schröder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Nicolaus Foerster, Martin Strohmeier:
Perfectly Secure Steganography Using Minimum Entropy Coupling. ICLR 2023 - [c132]Runtian Zhai, Chen Dan, J. Zico Kolter, Pradeep Kumar Ravikumar:
Understanding Why Generalized Reweighting Does Not Improve Over ERM. ICLR 2023 - [c131]Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? ICML 2023: 23536-23557 - [c130]Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown:
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. ICML 2023: 32169-32193 - [c129]Asher Trockman, J. Zico Kolter:
Mimetic Initialization of Self-Attention Layers. ICML 2023: 34456-34468 - [c128]Swaminathan Gurumurthy, Zachary Manchester, J. Zico Kolter:
Practical Critic Gradient based Actor Critic for On-Policy Reinforcement Learning. L4DC 2023: 625-638 - [c127]Swaminathan Gurumurthy, J. Zico Kolter, Zachary Manchester:
Deep Off-Policy Iterative Learning Control. L4DC 2023: 639-652 - [c126]Zhengyang Geng, Ashwini Pokle, J. Zico Kolter:
One-Step Diffusion Distillation via Deep Equilibrium Models. NeurIPS 2023 - [c125]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. NeurIPS 2023 - [c124]Suhas Kotha, Christopher Brix, J. Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. NeurIPS 2023 - [c123]Hariharan Manikandan, Yiding Jiang, J. Zico Kolter:
Language Models are Weak Learners. NeurIPS 2023 - [c122]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. NeurIPS 2023 - [c121]Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar:
Learning with Explanation Constraints. NeurIPS 2023 - [c120]Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. NeurIPS 2023 - [c119]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. NeurIPS 2023 - [c118]Rahul Venkatesh, Eric Wong, Zico Kolter:
Adversarial robustness in discontinuous spaces via alternating sampling & descent. WACV 2023: 4651-4660 - [i129]Samuel Sokota, Ryan D'Orazio, Chun Kai Ling, David J. Wu, J. Zico Kolter, Noam Brown:
Abstracting Imperfect Information Away from Two-Player Zero-Sum Games. CoRR abs/2301.09159 (2023) - [i128]Suhas Kotha, Christopher Brix, Zico Kolter, Krishnamurthy Dvijotham, Huan Zhang:
Provably Bounding Neural Network Preimages. CoRR abs/2302.01404 (2023) - [i127]Allan Zhou, Kaien Yang, Kaylee Burns, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Permutation Equivariant Neural Functionals. CoRR abs/2302.14040 (2023) - [i126]Mingjie Sun, Zico Kolter:
Single Image Backdoor Inversion via Robust Smoothed Classifiers. CoRR abs/2303.00215 (2023) - [i125]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR abs/2303.07320 (2023) - [i124]Mukul Bhutani, J. Zico Kolter:
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport. CoRR abs/2303.07675 (2023) - [i123]Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina Balcan, Pradeep Ravikumar:
Learning with Explanation Constraints. CoRR abs/2303.14496 (2023) - [i122]Paul Vicol, Zico Kolter, Kevin Swersky:
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single. CoRR abs/2304.11153 (2023) - [i121]Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown:
The Update Equivalence Framework for Decision-Time Planning. CoRR abs/2304.13138 (2023) - [i120]Asher Trockman, J. Zico Kolter:
Mimetic Initialization of Self-Attention Layers. CoRR abs/2305.09828 (2023) - [i119]Allan Zhou, Kaien Yang, Yiding Jiang, Kaylee Burns, Winnie Xu, Samuel Sokota, J. Zico Kolter, Chelsea Finn:
Neural Functional Transformers. CoRR abs/2305.13546 (2023) - [i118]Runtian Zhai, Bingbin Liu, Andrej Risteski, Zico Kolter, Pradeep Ravikumar:
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation. CoRR abs/2306.00788 (2023) - [i117]Yiding Jiang, Christina Baek, J. Zico Kolter:
On the Joint Interaction of Models, Data, and Features. CoRR abs/2306.04793 (2023) - [i116]Yiding Jiang, J. Zico Kolter, Roberta Raileanu:
On the Importance of Exploration for Generalization in Reinforcement Learning. CoRR abs/2306.05483 (2023) - [i115]Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter:
A Simple and Effective Pruning Approach for Large Language Models. CoRR abs/2306.11695 (2023) - [i114]Hariharan Manikandan, Yiding Jiang, J. Zico Kolter:
Language models are weak learners. CoRR abs/2306.14101 (2023) - [i113]Yutong He, Ruslan Salakhutdinov, J. Zico Kolter:
Localized Text-to-Image Generation for Free via Cross Attention Control. CoRR abs/2306.14636 (2023) - [i112]Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR abs/2307.03132 (2023) - [i111]Zhili Feng, Anna Bair, J. Zico Kolter:
Leveraging Multiple Descriptive Features for Robust Few-shot Image Learning. CoRR abs/2307.04317 (2023) - [i110]Zhili Feng, Ezra Winston, J. Zico Kolter:
Monotone deep Boltzmann machines. CoRR abs/2307.04990 (2023) - [i109]Varun Shankar, Shivam Barwey, Zico Kolter, Romit Maulik, Venkatasubramanian Viswanathan:
Importance of equivariant and invariant symmetries for fluid flow modeling. CoRR abs/2307.05486 (2023) - [i108]Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? CoRR abs/2307.09542 (2023) - [i107]Andy Zou, Zifan Wang, J. Zico Kolter, Matt Fredrikson
:
Universal and Transferable Adversarial Attacks on Aligned Language Models. CoRR abs/2307.15043 (2023) - [i106]Andy Zou, Long Phan, Sarah Chen, James Campbell, Phillip Guo, Richard Ren, Alexander Pan, Xuwang Yin, Mantas Mazeika, Ann-Kathrin Dombrowski, Shashwat Goel, Nathaniel Li, Michael J. Byun, Zifan Wang, Alex Mallen, Steven Basart, Sanmi Koyejo, Dawn Song, Matt Fredrikson, J. Zico Kolter, Dan Hendrycks:
Representation Engineering: A Top-Down Approach to AI Transparency. CoRR abs/2310.01405 (2023) - [i105]Victor Akinwande, Yiding Jiang, Dylan Sam, J. Zico Kolter:
Understanding prompt engineering may not require rethinking generalization. CoRR abs/2310.03957 (2023) - [i104]Eungyeup Kim, Mingjie Sun, Aditi Raghunathan, Zico Kolter:
Reliable Test-Time Adaptation via Agreement-on-the-Line. CoRR abs/2310.04941 (2023) - [i103]Zhili Feng, J. Zico Kolter:
On the Neural Tangent Kernel of Equilibrium Models. CoRR abs/2310.14062 (2023) - [i102]Zhengyang Geng, J. Zico Kolter:
TorchDEQ: A Library for Deep Equilibrium Models. CoRR abs/2310.18605 (2023) - [i101]Melrose Roderick, Gaurav Manek, Felix Berkenkamp, J. Zico Kolter:
Projected Off-Policy Q-Learning (POP-QL) for Stabilizing Offline Reinforcement Learning. CoRR abs/2311.14885 (2023) - [i100]Yutong He, Naoki Murata, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Dongjun Kim, Wei-Hsiang Liao, Yuki Mitsufuji, J. Zico Kolter, Ruslan Salakhutdinov, Stefano Ermon:
Manifold Preserving Guided Diffusion. CoRR abs/2311.16424 (2023) - [i99]Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary C. Lipton, Jianfeng Lu, Andrej Risteski:
Deep Equilibrium Based Neural Operators for Steady-State PDEs. CoRR abs/2312.00234 (2023) - [i98]Melrose Roderick, Felix Berkenkamp, Fatemeh Sheikholeslami, Zico Kolter:
Generative Posterior Networks for Approximately Bayesian Epistemic Uncertainty Estimation. CoRR abs/2312.17411 (2023) - 2022
- [c117]Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter:
Deep Equilibrium Optical Flow Estimation. CVPR 2022: 610-620 - [c116]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: 52-68 - [c115]Shaojie Bai, Vladlen Koltun, J. Zico Kolter:
Neural Deep Equilibrium Solvers. ICLR 2022 - [c114]Yiding Jiang, Vaishnavh Nagarajan, Christina Baek, J. Zico Kolter:
Assessing Generalization of SGD via Disagreement. ICLR 2022 - [c113]Samuel Sokota, Hengyuan Hu, David J. Wu, J. Zico Kolter, Jakob Nicolaus Foerster, Noam Brown:
A Fine-Tuning Approach to Belief State Modeling. ICLR 2022 - [c112]Colin Wei, J. Zico Kolter:
Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation. ICLR 2022 - [c111]Samuel Sokota, Christian A. Schröder de Witt, Maximilian Igl, Luisa M. Zintgraf, Philip H. S. Torr, Martin Strohmeier, J. Zico Kolter, Shimon Whiteson, Jakob N. Foerster:
Communicating via Markov Decision Processes. ICML 2022: 20314-20328 - [c110]Huan Zhang, Shiqi Wang, Kaidi Xu, Yihan Wang, Suman Jana, Cho-Jui Hsieh, J. Zico Kolter:
A Branch and Bound Framework for Stronger Adversarial Attacks of ReLU Networks. ICML 2022: 26591-26604 - [c109]Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu, Shaojie Bai, J. Zico Kolter, Roger B. Grosse:
Path Independent Equilibrium Models Can Better Exploit Test-Time Computation. NeurIPS 2022 - [c108]Christina Baek, Yiding Jiang, Aditi Raghunathan, J. Zico Kolter:
Agreement-on-the-line: Predicting the Performance of Neural Networks under Distribution Shift. NeurIPS 2022 - [c107]Sachin Goyal, Mingjie Sun, Aditi Raghunathan, J. Zico Kolter:
Test Time Adaptation via Conjugate Pseudo-labels. NeurIPS 2022 - [c106]Yiding Jiang, Evan Zheran Liu, Benjamin Eysenbach, J. Zico Kolter, Chelsea Finn:
Learning Options via Compression. NeurIPS 2022 - [c105]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. NeurIPS 2022 - [c104]Gaurav Manek, J. Zico Kolter:
The Pitfalls of Regularization in Off-Policy TD Learning. NeurIPS 2022 - [c103]Ashwini Pokle, Zhengyang Geng, J. Zico Kolter:
Deep Equilibrium Approaches to Diffusion Models. NeurIPS 2022 - [c102]