ICLR 2024 by J Kolter Papers
9 papers found
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair et al.
ICLR 2024poster
Manifold Preserving Guided Diffusion
Yutong He, Naoki Murata, Chieh-Hsin Lai et al.
ICLR 2024poster
On the Joint Interaction of Models, Data, and Features
Yiding Jiang, Christina Baek, J Kolter
ICLR 2024poster
4
citations
Patches Are All You Need?
Asher Trockman, J Kolter
ICLR 2024poster
487
citations
The Update-Equivalence Framework for Decision-Time Planning
Samuel Sokota, Gabriele Farina, David Wu et al.
ICLR 2024poster
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Lipton et al.
ICLR 2024poster
41
citations
Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression
Runtian Zhai, Bingbin Liu, Andrej Risteski et al.
ICLR 2024spotlight
17
citations
Understanding prompt engineering may not require rethinking generalization
Victor Akinwande, Yiding Jiang, Dylan Sam et al.
ICLR 2024poster
10
citations
Why is SAM Robust to Label Noise?
Christina Baek, J Kolter, Aditi Raghunathan
ICLR 2024poster